35 Burst results for "Gartner"
Don’t Settle on a TMS. 5 Tough Love Tips to Choosing the Best Software
"6 p.m. Monday, November 14th, 2022. Don, tea settle on a TMS 5 tough love tips to choosing the best software. Having spent many years in business development and sales, I've spoken to many supply chain and logistics executives from a range of industries. More and more organizations these days see how their competitors are digitally transforming and they don't want to be left behind. Everyone wants to be leading their industry, but leading an industry requires taking risks and thinking differently about technology strategy. I've seen businesses make choices that they've come to regret. In fact, according to Gartner, 73 of tech purchasers who have bought but not yet implemented their product solutions indicated high regret. Acquiring the best transportation management system for your company's present and long-term success is doable, but it requires a certain amount of due diligence and change in perspective. Here are the top 5 strategies that will help you get the TMS selection process right.
Cyber Security Today
"gartner" Discussed on Cyber Security Today
"Spend millions of dollars on cybersecurity solutions and you can still get hacked. It's kind of like that cartoon that came out where you talk to the IT guys like all systems have been up and running. Well, what am I paying you for then? I'm going to systems go down. What am I paying you for then? So there's no ROI, unfortunately, I don't think. Or at least the executives don't perceive that there's an ROI. Correct. Another thing that this report says is that money can be saved by reducing the number of security vendors that an organization vice products from. And in fact, a Gartner survey that was released this week said, it's already seeing that. 75% of the companies that surveyed this year said that they're cutting back on the number of security companies that they deal with. Is that a way for companies to save money? Consolidation of vendors. I agree. It is. But here's the issue I'm seeing, they're trying to find the lowest price, right? So they'll say, okay, I'm going to buy endpoint protection from Microsoft and I'll get the endpoint protection for the server's only. I'll use another vendor for them. I'll tell you a real story that this happens in healthcare. That exact situation is here is where they're using endpoint protection from Microsoft. So the defender, then they'll use trend micro for the servers only. Then they're going to use another software for network monitoring. And remember, these are all three different groups monitoring their respective endpoints. So now when an attack happens, you have to engage three different groups who may have three different sets of logs and your piecemealing all of this together. And it just takes a really long time, things are dropped. It's not coordinated. It doesn't tell the full story. So it's very, very important that you have full visibility into your network. And this is where if you're dealing with one vendor, they may have various solutions, like for example, with our sake, we can monitor network endpoint and cloud all from one dashboard. So we have all this telemetry from these various points.
Marketplace Tech with Molly Wood
"gartner" Discussed on Marketplace Tech with Molly Wood
"During the pandemic especially with jim shutdown or just less appealing people bought a lot of wearables. Those are smart devices that you wear on your body in your ear on your wrist or as a patch even and that track your activity in some way like your vital signs or how much you move. Look at sales of smart watches. They jumped by almost eighteen percent in two thousand twenty. According to gartner gartner also forecast that spending on wearables will grow to more than eighty one billion dollars by the end of this year. I talked to ramon llamas. A research director at the international data corporation about why wearables got so popular during the pandemic. We saw a lot of interest over here because these devices really do a good job of tracking your health and fitness. It'll tell you how many steps you've You've taken any given day. What your heart rate is. How many calories you burn and those are all important things but at the same time having to do it from home because he can't go to the gym and to track it with a A smart watch or fitness tracker made things so much easier So they know. A lot of the guesswork was eliminated. You didn't have to have a huge expensive piece of machinery Sitting in your bedroom or in your living room You can do all your exercises in home at home instead. i wonder. do you have any wearables. Have they changed your behavior. Have they taught you anything about yourself. The answer is a resounding yes. I was in a situation not too long ago where i visited my doctor and i thought i was in really good shape and the doctor came back to me and said ramone. You're cholesterol's too high in your. You need to lose about Twenty five pounds. And i became a fan of the treadmill and use my wearable on the treadmill. I also have a fitbit scale that my smartwatch connects to and so i had a. Let's say a constellation of devices and applications That i had to use to try to get my weight down and get my health back in order. So it's interesting you're in that case you're wearables. They didn't tell you there is a problem but you use them to help you get healthier exactly. I also use it to make sure that i was getting enough sleep Because i used to be a big night owl staying up to close to midnight On most nights Now i'm trying to find a lot more value going to bed earlier. No later than about nine. Thirty or ten o'clock if i can help it I found out that my best You know workout time was going earlier in the morning but You know for my wearable. Tell me hey ramone you know your cholesterol's too high. No wearable did not do that instead. It helped me keep track of my journey in and gotten there. You've been covering this space wearable technology for years now what sorts of new features are devices. Do see this space diving into in the next five years Hoping to see that wearables become a lot more prescriptive very now. Where was your great job of collecting my descriptive data. What i want to know is here. What can i do better based on all this data and we saw that with v at not too long ago. It's more of their Capabilities in their fifth at premium app. Is that it will take a look at your performance for the past several days and say to you hey ramone. Today's a good day to go. Do five miles. Wow now i have a coach on my wrist telling me what to do because it knows my patterns. It's known in knows my behavior in just accordingly. that's what i'm looking forward to remain. Anonymous is a research director at.
Sales Success Stories
"gartner" Discussed on Sales Success Stories
"Only just focus on one aspect of it like on the prospecting side of it or the outreach side of it. I try to make sure that. I'm intentional about working. Every element of sale cycle right from beginning to end all the time. I know some folks will focus on just one or the second or the third and then in and find like one say they've got a new client. Will gosh all over again and find something else for me. It's really about taking care of ensuring that there's always something going on. There's constantly i have things going on in all areas of the sale cycle. Matt's keefer me. How are you tracking that and thinking about that. So i think it's certainly my own kind of reporting and access to certain things that gartner has helped. Keep me on track just from a logistics perspective. But it's part of that piece that i have that focused time when i have that focused time every week every month. It's looking forward and backward. Right what have i don. What do i need to do. What are the next steps. And i tried to hold myself accountable to doing that. And that's why that fixed time for me kind of at the start of the week. And i also do it at the start of the month as well right. It's like he kind of timeline. Milestones are is really key for me to make sure that. I'm just on track. And i'm holding myself accountable. Yeah yeah so. What about the flip. Is there something that the average or typical sales professional believes that you think is crazy. Probably that a good powerpoint presentation is key in decision to buy a product or service. I don't spend a whole ton of time billing or doing those sorts of things while. I'm sure it's certainly important. I mean clearly a big part of any organization that i work with this delivering insight which is keep it. I don't spend a whole lot of time doing that. I think people buy from people and not from powerpoint..
Sales Success Stories
"gartner" Discussed on Sales Success Stories
"That i work with really senior folks at big companies and they don't have time for you know no one has time for for folks that are just gonna be disingenuous. And if i don't know the answer to something. I'm fine to say you know what i don't know but let me find out for you. I don't ever pretend or put on any pretense that i do it in this quarter what i do and to be quite honest i actually if i ever did i wouldn't. It had that feeling. You know that. Feeling getting on your stomach when you know. Something's not right. I would have that feeling. And i don't ever want that feeling and so for me. It is so important. And that's you know part of anything that i do. You have to be up front. You have to be straightforward and and you have to be genuine. That's excellent so you have very consistently had kind of this outsized performance. What motivates all of this for you. How do you think about motivation. So for me. Think it's really at the core. Is i just enjoy problem solving. So anytime that i can help. Someone see an existing problem differently or identify one that they haven't thought of that. Really motivates me in every day is is a little bit different because i just never know for sure like what's going to happen on the other end under the conversation so for me. It's that piece of just being able to solve problems for folks so something that's kind of striking me and maybe i'll come back to another guest and drive some parallels here in a minute but your performance. It's probably on average right year doing twice as much as a more kind of middle of the road seller at gartner. And it's not like you're working seventy or eighty hours a week right. You're building in kind of time and again coming back to this intention. -ality kind piece. How is that. why is that. I think a lot of it has to do with the idea that the preparation piece right were all spend more time there..
Sales Success Stories
"gartner" Discussed on Sales Success Stories
"You've only ever worked for a big company with a really well known brand it can be a little bit shocking when you when you go to work for something that nobody's ever heard of. How do you think about those differences. The pros and cons and things like that. I mean it's definitely a series of trade offs right like i saying in in a smaller firm. You're much more agile. Your voices heard more right. You're able to respond to things quickly but yet you know part of the battle is just getting people to take your call or understand what you do. And and so a lot of fun i had was was working at that organization and watching it grow and change and then you know c. b. while you know certainly had some some brand recognition. There's more process when you get to a bigger organization right. There's more your especially found like in manager roles right. They're they're much more defined in what you do and so there's trade offs all around in what. I am lucky enough it. I mean i worked for gartner now. I don't think i've met folks who i talked to that. Don't know the brand name and it's certainly has his. Its benefits when when you have that behind you in what you in what you're looking to do so to me. It's like where i counsel people more around like. What are you enjoy doing in your job. Do you enjoy having that. You know more impact and that you wouldn't smaller organizations or dearly. Really like processing frameworks right. You know things like training like in smaller organizations. There's no training no training. You're figuring it out as you go and and so on and so it's really. I think fortunate enough that i've been in all different scenarios in really about. Where do you thrive and where do you get your joy from what's bringing the joy for you. Yeah yeah that's that's great stuff and at the end of the day. That's one of those things where i think you may be almost half to just experience both sides of it. It's really hard to know from outside. Oh i belong in small companies. I belong in in large organizations. You just gonna have to experience that for yourself to be able to to really know which you enjoy the most for sharon in sometimes what i told some of the younger folks that are earlier in their career if they've either been in a big company right since they were recruited off campus. Let's say and done not. I encourage them in their next career. Choice to to try something different. Because sometimes you don't know right and where where you're going to find the thing that you like and the type of environment that you like to work and don't assume that it's always the same else don't assume the grass is greener. Because it's not always but i think you're right. You really need to experience it yourself to understand.
Sales Success Stories
"gartner" Discussed on Sales Success Stories
"I mean this. This is a process of it. Definitely takes time and i think it takes a while to play out view to really know. Is this a good thing as a bad thing. Sometimes it can be a great thing sometimes if you hang on and you become kind of this subject matter expert in this new thing that you know a large organization or a different organization paid a ton of money for some big opportunities can open up so i just encourage people to be patient. Wait to see how it actually plays out and like with anything. I think you always need to be mindful of just making sure that your network is strong and intact right because if something does go sideways you wanna make sure that you've got other outlets an other opportunities but by and large it could be awesome. I totally agree with you. And especially in my case. We're both cases that we were bought by a large organization. There were a lot more opportunities. And i will say like like at gartner in itself lake. Somme the folks that i work with have moved on into different roles. Choose the management track or something like that so there are lots of different career opportunities. But i think you're right. It's it's about not being reactionary and being patient and waiting learning and trying to understand how you fit in to the bigger picture and understand more. Broadly you know what are the other opportunities that can be there for you. Because for me in both cases i stayed with the organization and there were as especially where the first one i really wasn't planning to but i ended up staying in both times it. It worked out for me beneficial. Yeah now now. You have been in management roles. Why have you chosen to stay in an individual contributor role. So i think for me both times. I've been in manager roles. Been manager roles at you know smaller organizations and i really do enjoy seeing my team succeed and seeing them kind of learn and adapt and i really do..
Sales Success Stories
"gartner" Discussed on Sales Success Stories
"Hi scott glad to have you here and once again i o steve meyer and the top percentile collective at thank you for connecting me to angie where. She's an active founding member of that organization. I'm sure we'll talk about more a few minutes but before we do that. Let's kick things off like we always do with some immediate value. Angie what do you believe are the top three things that have contributed the most to your success in sales. That's such a great question right. It made me think a little bit. About what i think. I can narrow it down to sort of three things. And i think first and foremost is always about preparation and for me. That's that's even before reaching out at all right anything. I do beforehand. So that's means doing my homework learning about the company. Not just what they do. But what are we wanna do. They wanna grow or are they. Looking to increase efficiencies optimize costs and then trying to think through a little bit around okay well based on that like what are obstacles that they're going to face to achieve their goals and then i think for me. The second part of it is just understanding the people at the organization. The people who are responsible for solving those problems are they a good fit. Maybe not right and then it's really about tailoring my outreach and so i spend probably a lot more time than most around that whole preparation piece of it even before the first time i send an email or or make a phone call love that and what is kind of the scale of your territory. Because i'm guessing you're working on larger deals that affords you a little bit more opportunity to take a little bit deeper. And so it's more of a quantity or quality over quantity type approach right. Yeah absolutely definitely quality over quantity. I mean i think it's it's a pretty you know pretty good scope. It is geographically based right. And so it's really around. And then when i look at it when i look at those territories doing homework and then prioritizing the outreach right prioritizing based on some of the things that i've learned some of the.
Data Engineering Podcast
"gartner" Discussed on Data Engineering Podcast
"But also give more control back you know to the users see what that means is that almost become a must have to be to type two compliance to have the ability to run data in silos in different regions and countries. So i think the gap in the tooling i would say is largely in making that possible from a people perspective giving them the trust you know giving them the confidence i think from a feature perspective. There's a lot happening on. I think we'll take care of the feature level things at for shorter than industry. And then what are you see as being the biggest gap the biggest gap. I think it's just it's all very new and there aren't this at the defend principles of. Oh what exactly encompasses the role of that engineer or at the dinner or analyst for that matter many people get many tasks that are not directly related to what they do and they're expected to know things that they never saw the in their on-track employment contract and so it creates some problems so in the elaboration of the data space itself since it involves so many people that work with data. There should be better. Collaboration between the different type of experts dealing with data. And i think that's gap that would be closed following few years on the platforms will have to somehow integrates those features into their tools and martin. What's your view of the biggest gap. I think people have grosses will definitely agreed there We've always these new specializations these news role. So how do we work together. Optimized way the court challenge if half the big technology of say wealth That's being that. The next one that i would say is policy southern removing all of data into the cloud from tradition systems. There's a lot of policy that already wiser to how we scale that and not have to do that on individual table level set seats for data's still a big one out there. He suffered years to come. But let's keeps this face for so excited all right. Well thank you all for taking the time today to join me and for all the work you put into your respective platforms definitely shows the amount of dedication both in terms of the quality. What you've built and the fact that you've all been recognized by gartner so thank you again for taking the time today and i hope you enjoy the rest of your day. They get allies was a pleasure. Thank you tobias. Really fun talking to you. Every time and yeah will hopefully sync up again in six months or so and see where things have changed. Absolutely i would love that.
Data Engineering Podcast
"gartner" Discussed on Data Engineering Podcast
"Flexibility but also give more control back you know to the users icy see what that means is that almost become a must have to be to type two compliance to have the ability to run data in silos in different regions and countries. So i think the gap in the tooling i would say is largely in making that possible from a people perspective giving them the trust you know giving them the confidence i think from a feature perspective. There's a lot happening on. I think we'll take care of the feature level things at for shorter than industry. And then what are you see as being the biggest gap the biggest gap. I think it's just it's all very new and there aren't this at the defend principles of. Oh what exactly encompasses the role of that engineer or at the dinner or analyst for that matter many people get many tasks that are not directly related to what they do and they're expected to know things that they never saw the in their contract employment contract and so it creates some problems so in the elaboration of the data space itself since it involves so many people that work with data. There should be better. Collaboration between the different type of experts dealing with data. And i think that's gap that would be closed following few years on the platforms will have to somehow integrates those features into their tools and martin. What's your view of the biggest gap. I think people have grosses will definitely agreed there We've new specializations these news role. So how do we work together. Optimized court challenge if a big technology of say wealth while ability. That's being that. The next one that i would say is policy southern removing all of data into the cloud from tradition systems. There's a lot of policy that already wiser to how we scale that and not have to do that on individual table level set policies. Data's still a big one out there. He suffered years to come. But that's keeps this face of for so excited all right. Well thank you all for taking the time today to join me and for all the work you put into your respective platforms definitely shows the amount of dedication both in terms of the quality. What you've built and the fact that you've all been recognized by gartner so thank you again for taking the time today and i hope you enjoy the rest of your day. They get allies was a pleasure. Thank you tobias. Really fun talking to you. Every time and yeah will hopefully sync up again in six months or so and see where things have changed. Absolutely i would love that.
Data Engineering Podcast
"gartner" Discussed on Data Engineering Podcast
"People are faced with and the ways the senior products used by your customers and internally to help support your own businesses. What are some of the most interesting or innovative or unexpected ways that you've seen your products used and these problems being solved and suck. Why don't you start us off. I think that when you give people a lot of flexibility and things that you can put together a compatible way. They come up with many creative solutions alligator a couple of quick examples. We had a customer that had extremely large tables dashboards. Were performing slow right. So they wanted to create these aggregate intermediate tables and improve the performance. What they realized was that they could use next to take query that big table transform it aggregated and create a smaller sort of aggregate table. But then once they had created that one data flow are able to use command interface Through that and create you know several hundred such sort of configurations and that they were thinking was gonna be a six month project for them turned out to be something that they could do in a couple of weeks and make many many tables more performance dried. We've also seen people look at the next set sort of technology and say. Hey i have a dead product. But i can modify to create a new next set and then modified that to create another new next said and they have done that to say. Hey i'm gonna take this next set it's pointing to an image file and then that image i'm gonna push to any. Pi call to no cr system will get more data the resulting next set his more rich. I can use that data and this is where one of freight brokers used us to gather data from images of new driver licenses insurance policies and automate on boarding drivers which was otherwise. Somebody had to look at it on stuff and do it manually. So many many useful an interesting use cases that we find and are surprised by an excited about martin. How 'bout yourself. Because we're an open source were faith observability rights to one of the interesting things. That happened recently was at one of the european countries. Thir- helps industry all of a sudden we got an email request for quotes. Can we buy your software. And that was very interesting. Start learning about their use case it was all about checking all of the covert data before bente all the officials ultimately for all decision making in that country. What they liked about it was that they didn't have to agree. Setup themselves at looked at the data and started suggesting some of the potential issues. That will be there some checks and validations that they should be doing. Just one of those very feel good moments like yes. This country is using. They're having benefits and it's having impacts and it's something we can all relate so that was very nice thing that happened to a couple of weeks ago. What are some of the interesting ways. The senior platform used channel. I'll take a very recent example because of the co challenges right so we are helping one of the largest automotive manufacturers in the us when go ahead everyone renting a lock down the visibility from entering three perspective from your suppliers from an ain't doing supply chain was immediately disrupted did not have the suppliers onboard giving visibility across what was that ability to fulfill specific demand so they had a challenge where they got back to saying again when the stock wardrobe call every supplier. Find out what they what they can cummock do. What was their problems. So this was studying to be a nightmare for. They've had more than forty plus different planets trying really identify what was going to be happening with the production line so without blackballed we basically weekly put together. A full palm bay solution to collaborate between the different suppliers it was built on top of the semantic modern which was trying to mimic obliging If there were any anomalies which they were identifying himself of saying okay. I cannot will demand we will able to also take information from risk related to some of the challenges and find out alternate appear to suppliers. How do you actually address all of that aspect of a supply chain. Normally if we would have done this in a traditional way this would. I be in like a sixteen month exercise. We work with this automotive manufacturer and within the first six weeks we will able to put dissolution up and running instead of them. Having to started this war room with the supplier. We were able to have one single measurability dashboard and get them up and running. They were able to planned for next three months which was possible. They were planning literally a day to two days in advance which meant they could not understand what was going to happen hazard. This basically generated millions of dollars of leakage as well as improvement in visibility. That's how we're really starting to enhance the collaboration aspect security way which came up but black onsite upticks and dan. What are some of the interesting ways. The senior tools used well when you give the users the ability to ill the world's from abstract space in any way that they see fit you suddenly see unexpected things that the user might model but one of the things that always strikes me is how the feedback from the user of help weekly they can get up and running since there are no Processes is you just connect your data and muddling. You're viewing Wants very easily so for example you know reports that usually took three or more months to produce seventy. it's producing in less than a week. And that's a huge win validation for us when we get that feedback from the analysts that had to create a very very big lengthiest reliquary and understand. Where's the daytime where to fitch watson. Health do preparing clinic correctly. He suddenly can do it in one line of sql. And if you want you can see an explanation and see what is the translated. Query that get sent to the underlying databases. That's something that's always surprises me. Although it shouldn't feedback that we get from our users in terms of each bure experiences of building these products and building these companies and helping your customers tried to address some of the complexity and challenges that exist in the overall data ecosystem. What are some of the most interesting or unexpected or challenging lessons. You've each learned dan. We'll start with you. It's something that i knew. I had to relearn from the beginning is that they user won't follow the best practices no matter how much you emphasize recommend the user will always tried to find the easiest laziest approaches if he has monitor the data and we tried to facilitate spoonfeed as much as we can..
Data Engineering Podcast
"gartner" Discussed on Data Engineering Podcast
"Where a lot of the previous decade or two decades worth of work has been going and that now we're looking to figure out. How can we work at a higher level to solve the problems that the business cares about and not have to spend so much time worrying about the problems that the infrastructure cares about wondering if any of you care to comment or provide input on that thought. I think this is a good approach. That is happening. You think offered on one hand you have so much complexity of data on the other hand because more people need to work with data of course an average person will not have to write code so in between a lot of things have to be figured out right the variety of data formats connectors and so on. So it's good that we're looking at something that understands steadied and makes it easier because without that everything you have to deal with code so the concept of the semantically. I think makes a lot of sense overall to simplify things i do. Think that the complexities of data systems is not to be underestimated. Anybody working the enterprise in complex systems from you know mainframes down to bad systems to real time transactional systems knows that and therefore the other thing that has come up in this conversation. Is collaboration right. Making sure had a good chunk of problems can benefit from the semantic layer become easier. Ideally no code. A set of things can be done in no code because you do need a little bit of that flexibility sometimes and then for the hardest of the hard problems. Have some sort of lear that engineers can get into directly and do what they need to do but putting those three pieces together is. I think what is helping companies to scale up their teams the amount of data they work with and applications they want to enable my perspective on this is having each of these entities within a business. You can call it as divisions you can call it. As department on that aspect of data rich belongs to their business processes on the part of the value chain in terms of reducing some of the complexity trying to create one. Big defied margaret across from an enterprise is as seems is very complex by the owners of the business function have a very either understanding offer them creating this liberal moderate and then fating us five of the dacian is one way of simplifying that look in addition to this leveraging some of the local tools in conjunction with some of the cognitive madame or data management insistence helps us some of the complexities. Normally you would have. People who are doing. The data analysts are the engineers who map the fields in the end systems through your mecca mater presents. His confirmation mapping along leveraging some of the cognitive data management systems actually axel ridge or else knew some of the complexity. So that's the second aspect which we see. And the third is having these set of connectors riddick collaboration. Premature where you cannot go and access the system statistically to then leverage some of the phone based mechanism fills the gap of the which is there and then you combine that with the light lightweight registry to do the evaluation of the data will solve some of the problems which are traditionally with. The attorneys are kind of assistant. I totally agree as well. It the most valuable piece if we think again about like infrastructure observability in than discovery. If you want to start sharing more data fuel and have more people use. It's it's really important that it's property described defines searchable man that there's operational metrics around the data that you understand if that's usable. Those are really thing that technologies today. The security helps simplify sharing that tacit knowledge because very often we have a lot of tacit knowledge in the organization. That would be super helpful if that's available on demand basis so i do think that motion of of getting that tacit knowledge out and bringing it to the people that want to use their access. Data is really key increasing Absolutely totally agree with everything that was said. And also. I want to add to that. I expect to see more positions in the data world filled in twenty or thirty years ago we only had the da and be a system admin took care of the deficit and today we have engineers and damage scientists. We've been handed that products. I foresee much more positions in the data world opening in the future and with that also comes in new platforms in new specialized For specific uses in the data world. That's definitely another trend. That's been happening a lot. As you mentioned that there has been further specialization and segmentation of responsibilities in the data ecosystem as it becomes more of a first class concern within the organization where twenty years ago it was just the database administrator who made sure that the data was available and that somebody could raise some sequel queries and so there was the long process that everybody dreaded of. I have a question it goes through the da for the answer to come back out the other side and the business intelligence dashboard. And hopefully you're able to hit rate on that you know. Once a week or a couple times a month and now everybody needs to be able to access data because everybody wants to be able to understand more about how the organization is operating how their customers are interacting with them the needs that exist in their specific ecosystem industry and so a lot more of the business needs to work with the data on a regular basis and so some of these roles that use the data are now starting to morph into data oriented roles where instead of having a product manager that was responsible for the application that generated the data. There's now the data product manager who works closely with the entire team to make sure that the information that's being collected as being organized in structured in such a way that internal customers can actually use it effectively without having to pass through the proverbial da. And so i'd be interested in some other feedback on some of the ways that sort of vendor platforms and the sort of higher level abstractions that. You're each working on. Can help to support these evolving roles and some of the specific roles that you see coming about as a result of some of the technologies and principles that you're all putting forth. Yeah i mean. I see an obstacle coming almost every function right. I mean you have sailed solves marketing ops now. hr ups and everything. What are these obstacles. These obstacles are sort of saying that. Hey i have to use data to run this particular function better and clearly these have become the consumers of data. And you can expect you know the people in these roles to be pretty data savvy. They're not gonna be riding your code or creating pipelines by cold and all this stuff but they know the data really well. They're pretty good at figuring out how to stitch things together and these platforms like what we are building and other companies bringing that you know..
Data Engineering Podcast
"gartner" Discussed on Data Engineering Podcast
"Richardson components which again quickly drag drop through a local note solution to give you that end visibility across it so be sold this by creating the semantic model making data fabric making a new domain and then giving it ability mayor which again backdrop to self-serve mccann's and suck at tiff you on a give your overview how you're helping to reduce manage the complexity that data professionals are dealing with and their day to day. Think not a question earlier by the terminology. There's a lot of it. Next line is recognized by gartner as a cool vendor for data fabric to break down the concept of data fabric really looking at the meta data to understand what the data is and to automate or simplify the management so you know until now data had been serving a now you can apply back to data for the management purposes deaths from an extra approach for that means for the end user is observed the data that we can connect with and based on that automatically organized that data into what we call next logical units of data that you can work it and this brings me to the other concept. That's been out there. Which is that data mesh. The concept of having data products that domain users can get access to and use on their own so by applying this data fabric approach to observing learning data. We ended up creating automatically these next these products that help the domain us or the end user. Get to data easily collaborate on that and so on so what it means for. The user of data is first of all can connect to wide variety of systems. We can automatically you observe. Loan understand that than presented to them. The data products that they can then prepared integrate with us collaborate and then used this metadata intelligence in. What does that look like the schema when it comes you know other characteristics like attributable. How does it behave to then provide a certain degree of monitoring on the data that you know that okay. The data is working as expected and dan. How are you helping to reduce the complexity and challenges per data professionals in your work at timber. There are many ways that they believe. We held that the professionals tackle the problems. One of the best things about this is that we stay in the sql world. We do not touch. If ezekiel that layer at all were virtual. We just sat me the that the sources to our abstract moulder to our knowledge in so you say in the yesterday face that drains for structure. He's running on you. do all day. You can do the cleaning the preparation of the day. Thing mapping stage while you're mapping data but that's just one part of it another big part of what we do to help professional museums us a monthly critic view of the business entities. Anyone can create an abstract view. That's detached from the data itself..
Data Engineering Podcast
"gartner" Discussed on Data Engineering Podcast
"Martin if you wanna start off with what you're building and how that helps to sort of reduce the space of complexity that data professionals are dealing with. Yes sure. I think it's a good idea that week on layout -nology as we dive into this so i think we're all very familiar with data infrastructure rights with the ingestion storage compute cd transformation. That's i think a big block. If i would have to draw it out. And then there's the observability piece that's all about like metrics testing monitoring lynch to be able to do things that could cause analysis. So that's the space we play and then definitely have heard about. Data discovery will which is myth update the search ultimately business concepts and definitions to really have people be able to find the data. That's available in the organization and then get access to it. And then i think the last big one or sudden date. The management is governance typically only for larger companies. that's more about ownership policy in xs managed to think for example. Gdp that we have here in europe that's Giving access to certain people certain data sets for a certain purpose certain time it's brought set of complexities before we get to finally insights into automations. Where we of course have. That's gorving tools automation twos. So i think those are good beaumont's overall and we focused somewhere at so inbetween in front of discovery on observable and akshay. How are you helping to reduce the space of complexity and the overall understanding of the broad ecosystem that is necessary for data professionals to be able to do their jobs so device. We started this with a bit of a different approach. We started this entire process with creating semantic model severely. Don't go and start hacking at the physical structure. Whether it's coming from sap with it's coming from judy edwards we start with the language of the business every business as that language and we started with the mindich mortar definition all the language which is used by the business on of it. We have a domain registry which actually held in identifying the different business process. He's which are part of this and then come by creating a unified data fabric which helps create or map. That data prompted word sources. Do this semantic mortar. We have more than two hundred plus different connectors which are part of data fabric platform which help in just data from british Systems sas obligations. Some of the newer applications through streaming that is information which can be ingested from iot do isis and sensors and we also have the ability of getting data from users. Why collaboration informs this goes through a set of data cleansing which is actually enhanced by algorithms leveraging pussy logic to cleanse some of the data a bozo helps in duplicate detection so as been the data moves from one stage to the under the data by itself is sling when it really populates our gets created into that semantic model on top of this we have the rights of the data who gets access to one which addresses from of the common challenges between the difference disparate systems. There's a game of more than four hundred plus different richardson components which again quickly drag drop through a local note solution to give you that end visibility across it so be sold this by creating the semantic model making data fabric making a new domain and then giving it visibility layer which again backdrop to self-serve mccann's and suck at if you wanna give your overview how you're helping to reduce manage the complexity that data professionals are dealing with and their day to day. Think not a question earlier by the terminology. There's a lot of it. Next line is recognized by gartner as a cool vendor for data fabric to break down the concept of data fabric really looking at the meta data to understand what the data is and to automate or simplify the management. So you know until now data had been serving the i now you can apply back to data for the management purposes deaths from an extra approach for that means for the end user is observed the data that we can connect with and based on that automatically organized that data into what we call next logical units of data that you can work it and this brings me to the other concept. That's been out there. Which is that data mesh. The concept of having data products that domain users can get access to and use on their own so by applying this data fabric approach to observing learning data. We ended up creating automatically these next these products that help the domain us or the end user. Get to data easily collaborate on that and so on so what it means for. The user of data is first of all can connect to wide variety of systems. We can automatically you observe. Loan understand that than presented to them. The data products that they can then prepared integrate with us collaborate and then used this metadata intelligence in. What does that look like. The ski malvern does it come. You know other characteristics like attributable. How does it behave to then provide a certain degree of monitoring on the data that you know that okay. The data is working as expected and dan. How are you helping to reduce the complexity and challenges per data professionals in your work at timber. There are many ways that they believe. We held that the professionals tackle the problems. One of the best things about this is that we stay in the sql world. We do not touch. If ezekiel that layer at all were virtual. We just sat me the that the sources to our abstract moulder to our knowledge in so you say in the yesterday face that drains for structure. He's running on do all day. You can do the cleaning the preparation of the day. Thing mapping stage while you're mapping data but that's just one part of it another big part of what we do to help professional museums us a critic view of the business entities anyone can create an abstract view that's detached from the data.
Data Engineering Podcast
"gartner" Discussed on Data Engineering Podcast
"Providing organizational structure that can the scaling deliver the value of data me my logic complexity from that the consumers in moving it's more than that the mufflers side and that's just of the small benefits the thing gingrich. Ai platform gives as part of breaking schrafft's. You're the second person i've spoken to recently. Who was brave enough to start a business with their family so curious how that's going. Well we have two problems. We already know how to argue disagree from home. So when stuff arises will we already know how to follow through and we know how to collaborate way we collaborate very good together and proves itself useful so far and so each of you have been recognized respectively as one of the cool vendors by gartner in their recent report talking about the problems that are facing data professionals and so wondering if we can quickly go over what you view is some of the biggest challenges that are facing people who are working in the data ecosystem and so actually we. Don't you start us off if you look at the concentration. The biggest problems wage data engineers phase is data. Acquisition preparation of the data. Cleansing the data. And getting it in a format which can be easily understood. Don't matter how you look at it. This is a big dds dusk you need to have an understanding of the businesses wolves razzies so being in having the right nominee is the biggest thing. Once you have that in place accessing that data becomes easy and then what are your views on the biggest challenges that are facing data professionals. There are many challenges. Moore's we will go away into eight hundred driven development in There are many different challenges. One of them is for example. The collaboration between different people that are owners of data whether it's death engineer that the scientists that analyst or just a developer may be just a platform that consumes the data. There are many different data providers and consumers we identify a lot of the automatics are likely akshay said in the preparation that the cleansing space. So we're trying to bring order back from the chaos. All the different episodes that is the size so they create their own that the fabric were emiss- ending their use case or their needs this approach to have like a holistic business view of the that. Martyrdom sure you have some opinions on the view of the data and some of the challenges related to that. I don't know if you want to follow on with your views. On the challenges that data professionals are dealing with. In these recent years i think s companies gonna have more heavily rely on dates. The thing now is that. We're very often flying blinds. There's not really a structural process or system in place to get ahead of problems with data. I think as we all know. There's a lot of things up. Tom can go wrong with Sedate that a source ingestion. A schema changes transformation errors called sub drift to name it stuns of things that can go wrong and very often. We feel a bit out of control because of that. So this is a clear lack of observability. And that's bolts kind of software and tooling to do that. But it's definitely also process now that we found an issue. However we're going to deal with that that i think is today. Probably the biggest problem. Production izing an ultimatum. Data and suckered. About yourself yeah when we ought ourselves unified data operations. The first challenge see is operations which is about bringing scale not just volume but in terms of how things around so to scale..
Data Engineering Podcast
"gartner" Discussed on Data Engineering Podcast
"Advertising space bill creating one of the earliest mobilize averse and advertising tends to be a very high data volumes. Face which is why. You've seen a lot of good datatech. Commodity companies like google facebook and others so in process of building that we created a data platform which was processing over three hundred billion records of data a day and doing some very interesting machine learning on that this is around two thousand twelve two thousand fourteen timeframe and yeah. I could see that data challenges. We're solving there. Were coming to more industries. As more people wanted to work with data. i come to this world of data through the world of compute. Having voted in radio for several years. I could see a combination of compute efficiency and performance. And how that applies data. I'm bringing together here in la and martin. How did you get introduced. The data eleven years ago. Now i think the earning employees. It's a company gold's khalib. They were all the so. They're actually building the first data catalog data discovery for so that was about that was at the time that there were no chief data officers or heads of data so that was a very interesting experience and that was there for about seven years before venturing diving into data observability and data quality management and. Actually how did you get involved. In the area of data management team specializes in consulting strategy consulting in supply chain for our customers and as far of this engagement we always found a common set of problems across the system. Disparate data sources different process. He's different types of data and putting it all together to get the business insight was always a challenge so we actually worded. This problem would only prob- common problems over there and created a solution which will help accelerate giving the right insights to the end users. Dan how did you get involved in. Data management will it. All started azad developer by country decouples data from may computer development. So that's where my journey started. I noticed that there are many logic compositions in largest files that someone once wrote in an organization that now i have to maintain their stand the logic and follow it night saw the problems complexity of doing that than at the time. My brother which we've found imre together. It had a lot of experience in the management world. And we've talked about the good solutions and one of our principals pictures for being a good solution providing organizational structure that can the scaling deliver the value of data me my logic complexity from that the consumers in moving it's more than that the mufflers side and that's just of the small benefits the thing gingrich. Ai platform gives as part of breaking schrafft's. You're the second person i've spoken to recently. Who was brave enough to start a business with their family so curious how that's going. Well we have two problems. We already know how to argue disagree from home. So when steph arises will we already know how to follow through and we know how to collaborate way we collaborate very good together and proves itself useful so far and so each of you have been recognized respectively as one of the cool vendors by gartner in their recent report talking about the problems that are facing data professionals and so wondering if we can quickly go over what you view is some of the biggest challenges that are facing people who are working in the data ecosystem and so actually we. Don't you start us off if you look at the concentration. The biggest problems wage data engineers phase is data. Acquisition preparation of the data. Cleansing the data. And getting it in a format rich can be easily understood. Don't matter how you look at it. This is a big dds dusk. You need to have an understanding of the businesses razzies so giving an having the right. Nominee is the biggest thing once you have that in place. Accessing that data becomes easy. And then what are your views on the biggest challenges that are facing data professionals. There are many challenges. Moore's we will go away into eight hundred driven development in There are many different challenges. One of them is for example. The collaboration between different people that are owners of data whether it's death engineer that the scientists that analyst or just a developer may be just a platform that consumes the data. There are many different data providers and consumers we identify a lot of the automatics are likely akshay said in the preparation that the cleansing space. So we're trying to bring order back from the chaos all the different sources that is the size so they create their own that the fabric were the ending their use case or their needs this approach to have like a holistic business view of the that martin. I'm sure you have some opinions on the view of the data and some of the challenges related to that. I don't know if you want to follow on with your views. On the challenges that data professionals are dealing with. In these recent years i think s companies gonna have more heavily rely on dates. The thing now is that. We're very often flying blinds. There's not really a structural process or system in place to get ahead of problems with data. I think as we all know there's a lot of things come can go wrong with Sedate that a source ingestion. A schema changes transformation errors called sub drift to name it stuns of things that can go wrong and very often. We feel a bit out of control because of that. So this is a clear lack of observability. And that's bolts kind of software and tooling to do that but as definitely also process now that we found an issue. However we're going to deal with that that i think is today. Probably the biggest problem. Production izing an automating data and suckered about yourself. Yeah when we ought ourselves unified data operations. You know the first challenge. We is operations which is about bringing scale not just volume but in terms of how things around so to scale. I think of hocken more people work with data and how they come to more applications. So i think the first part is a people challenge of their people of different skill levels. People who are in data people are exploiting data systems. Work together so that more people can be working with data so i agree with the aspect of collaboration. That was mentioned. The other part is that of data being or high value data being there in both internal systems in the company has outside the organization and that creates the challenge off you know working date in terms of integration preparation and so on so we see those two as the people level challenge in the technology challenge the other interesting element of data ecosystem particularly in recent years. Is that you know. The overall base principles foundational layers have remained largely the same conceptually where we have storage. We have compute. We have processes and mathematical statistical analysis. They were doing on the underlying data but as the overall ecosystem matures there are a whole slew of new terms and new practices and new ways of thinking about these that you know if you're new to the space it can be incredibly overwhelming. If you're trying to figure it all out from scratch and each of you have been recognized as i mentioned at the outset by gartner as one of the cool vendors in the space and i'm wondering if you can just give a bit.
Data Engineering Podcast
"gartner" Discussed on Data Engineering Podcast
"Hello and welcome to the data engineering. Podcast the show about modern data management. Have you ever woken up to a crisis because a number on a dashboard is broken into no one knows why or sent out frustrating slack messages trying to find the right data set. Tried to understand what a call name means. Our friends at outland started out as a data team themselves faced all this collaboration chaos. They started building out as an internal tool for themselves. Atlanta's a collaborative workspace for data driven teams like get hub for or figment for design teams by acting as a virtual hub for data assets ranging from tables and dashboards to sequel snippets and code ashland enables teams to create a single source of truth for all of their data assets and collaborate.
Affluent Americans Are Retiring as Pandemic Changes Priorities
"Interesting societal change going on in America and maybe the world right now, People are retiring and leading jobs in numbers We have not seen before, and it's for a variety of reasons. A recent Federal Reserve survey showed that 2.5 million affluent Americans 55 or older say they plan to retire soon. And the number of people expecting to work after 67 is at a record low of only 33% and two thirds of people say they're going to quit before age 67. This has never happened before. Some of the drivers are affluence. You know you have more money and after the pandemic, you realize that life is short and you want to make the most of it. And a new poll from monster dot com found that 95% of workers are thinking about finding a new job, and they say it's often because of just plain old burnout. Consulting firm. Gartner found that 55% of workers reported experiencing significant burn out over the last 15 months. According to Microsoft's work trend Index, 41% of workers worldwide say they're likely considering switching jobs within the next year and indeed found that 52% of respondents Had reported burnout, with the majority of those polled, saying that their level of burnout has gotten significantly worse during the pandemic.
Mapped CEO Wants to Simplify IoT Device Integrations
"During my time at cisco i very quickly realized that It was different from every other business. At cisco it was probably my third or fourth conversation After it come into the iot team where the customer looked at us and said have any of you actually been to oilrig. We sort of Looked around the room and nobody can say yes and so it led to lead the four years of really just visiting any customer could whether it was a manufacturing floor you know the roof of the building or the sub basement building going behind the scenes at an amusement park or you know into an oil refinery or out on an oil rig. I just wanted to feel the pain that the customer was going through and and really understand it. Firsthand and those sorts of of of discovery trips led to a repeated pattern that i kept seeing over again. You know i would get on on stage for various cisco events in say things like you know. Gartner predicts that there will be twenty five billion connected devices by twenty twenty five And then the next year it would drop to twenty two billion in the next to dropped a twenty billion and that mix of sort of the the numbers continuing to down into a right plus what. I was observing customers. Which was they would do a pilot in one of their environments and that pilot would take them a year to build and deploy and then they would go to move that pilot the next environment factory across the street or the refinery on the other side of the country and it turns out that all the work they had done for integration. All the work they had done to extract data out of those systems and bring it into the dashboards and the analytics they were trying to put together a had to be done again. It had to be done from scratch because that factory across the street or the refinery on the other side of the of the country had no sort of commonality with the systems that were in the first one where they built the pilot and again this was just a side effect of the various system. Integrators using whatever was the best set of tools at the time this pain of immigration plus the the the sort of droppings predictions of connected devices or iot devices. Them really got me thinking about what is the biggest problem that we have an iot or digitisation and the problem is that as we try to bring together all these devices in order to come up with transformative insights that complex relationships among the devices are aware that that transformative insect comes from and to do that. You have to deeply integrate with these systems. So if we can free up the industry from having to do all the integration manually and we can automate across the seas of of doing integration and sort of reverse engineering what humans had built in the first place. Then we can really start to open this industry at scale and allowed developers who may have never set foot on a factory or have never gone into a refinery to really start to build applications by just purely looking at data and starting to figure out ways to make sense of data rather than spending all their time on integration.
Yes, our workdays are getting longer
"As we've all learned over the past twelve months due to the pandemic tools like zoom in slack at made it a lot easier to get our work done without being in the office but there is a downside to all this money. You're right bret. It feels like your workday has gotten a lot longer and if you feel that way you're not alone because we have tech nearby to help us work. It's become a lot harder to call it a day at the end of the day which we never get to. Sometimes joining now is usa today. Tech reporter terry collins who wrote a story about our longer work days that you can read on tech dot usa today dot com terry. Good too heavy back in man. How bad is it Man well thanks for having again and bread. I appreciate it. It's bad because you know it just comes down to the to be having you know for many of us. We restarted decide when it's time to turn off the switch. It's one of the things we're all experiencing you know and we may be in denial about it for wine. A urine pandemic grape will be working and having jobs in order to pay our bills liberal lives and whatnot and then to. it's just also been a great distraction. Take our minds off of well. We'll still in this pandemic you know trying to ward off trying to be safe from this deadly disease subjects in my story Tina schweiger said quote sometimes to take a shower. Or sometimes i don't. It's still not to do things because of kobe. And if you enjoy working ten scale it up you'll say oh i'll do a bit more. Research knocked email out. She basically said it's very easy to slip out of work. My story i mentioned a harvard business school study of more than three million people worldwide said average workdays increased by almost forty nine minutes from the pandemic early stages now by forty percent and a gartner study damaging story about forty percent. Say the workdays become longer and and gonna research spoke to Alexa cameron said turn workdays are somewhere between the two or three hours longer when we were back mcgrew working in the office. So that gives you an indication that some many ways we were we are working longer. So are there specific trends. That experts have spotted that are pointing to why we're working longer days while we're all remote while some of those reasons. Are you know we have problems disconnecting and we have like digital attractions Overloads hurt bringing noise. We were as as i was talking and the research. I spoke to mix to working longer. It's well said up that there's a growing consensus that That we're we're more more times in stressful working together working Apart from where we were in person and it one of those reasons were having more virtual meetings in debt therefore to be harder to the gate coworkers body language there's more vigil visual information to adjust included slide shows graphics and also being seen on camera curbs need to have you know quote unquote an on air personality. Well that yeah. I think i've felt that way to you. Know yeah hold on you know we get more phone calls for tax. Were emails more messages. Almost what you said. Mike and and you know we are seeing each other in a workplace. So we're always just have this no always on mentality. Why also wonder if you know. Sometimes since i'm working at home i take a break to put a little andrea. Enter to go make a sandwich. And then i feel guilty. When six o'clock comes that. I'm don't stick around longer to any advice. These folks gave you that you found from people that you interviewed that. I'm how to cut back on some of these extra forty nine minutes or two to three hours depending on what craziness year involved in. Yeah yeah they. We should really try to take a break one possible. Whether that's a series of by timothy breaks across the day edition of maybe taken an hour hour long lunch at teachers said than done especially in our line of work. I like one of my subsequent story. Kelly christoffersen who works at a houston based opera company. Said that quote we were just ourselves becoming available as multiple worse are always online whether we admit it or not. And i said we're more vulnerable. And says that i guess is more of a share experience through the pandemic raw trying to adapt and get through it. She example Talked to her depth shit april meetings on on platforms or you can zoom will meet. Microsoft teams webex. Her meeting her. I mean again at seven and then she purposely disconnected by pm and she's doing virtual the following day she tries to go poor rhyme or take a walk and she has her poem with her but she tries to not take a look at her. Feel it when when it's going up. She wants to check. Take that break and so we just have to just try to find the strength to know when when to step away and there are some employers. Who are trying to help do that. As well as i mentioned a company in iowa tech engineering company in austin texas there were gonna initiative to create a better work life balance one things. They've done in begay their workers two weeks off without impacting their vacation time and some of the departments are tested. A no me fridays. It's as we've got into this a year ago to work remotely and we've also got a way to continue to work remotely but also without jeopardizing our welby. I'm sure a lot of listeners would love a no meeting monday in a no meeting tuesday and meeting wednesday and run down the week but thanks as always for joining us. It was great having you and look forward to having you on again. Big appreciate it
The Small Business Radio Show
What Will Amazon Do Next in 2021?
"The other day announced a new ceo. And so we're is amazon. Going in two thousand twenty one and how can small business owners actually participate hit. Help is jason boys. A season entrepreneur and nationally rise x. nationally recognized expert on amazon. He's considered the world's leading expert in dot com third party sellers. He's the founder and ceo of avenue seven media llc a seller group that harnesses the power of amazon for direct to consumer product brands. He's also the co author of the amazon jungle. The truth about amazon and the sellers guide to thriving on the world's most perilous e commerce marketplace jason. Welcome to the show. Thank you bury. Congratulations to you. Six hundred and twenty six show twelve years you know. He started with just one person. So tell me how you've been doing during this pandemic. Our business has been booming Amazon scott galloway came out and wrote a book about The pandemic amazon a company that was built for something like a worldwide pandemic and they've benefited greatly and frankly so's my business. Because so many small businesses that had regional brick and mortar retail store outlets that. Just shut down on him and folks were were kind of on the fence prior to the pandemic called and said jason get amazon tomorrow. Can you help me so our business has been. I mean we keep up very hits been it's been You know a bittersweet story. It's good news that our businesses doing great as results pandemic. But it's been a really difficult time for everyone. Any recession is always winners. And there's losers. But i tell you one thing jason happen. This year that i never thought could happen in relation to amazon. I couldn't believe they couldn't deliver in two days. Came buried i. I made some predictions in early october. That fda and amazon delivery network was going to break. It ended up not breaking but they broke the post office. They bury them with so met much volume that they literally couldn't couldn't handle it and you're absolutely right. There were very few packages that were delivered to people's doors within two day window within that one day window even still though what they did. This holiday in terms of ramping up delivery final mile warehousing added fifty percent of square footage and like four months. I mean it's historic area. It's pretty incredible what they did so just recently announced. Jeff bezos is going to step down. Ceo and there was a joke on facebook. That says well i guess he's fully invested 401k. Now that's why he's stepping down. But one predictions you have for twenty twenty one with amazon given a new ceo and the hopefully the winding down of the pandemic. Yeah well you know. I hope jeff vases is going to be okay with the pay reduction. Moving from fulltime. Ceo to just executive chairman. You think you'll be okay hope but yeah you look i. I don't think that amazon is going to miss a beat. You know the minute. The announcement came out which by the way was interesting enough announced around the same time as their blow out. Q four earnings call Historic in its own right Potentially to deflect which amazon's pr department is really good at About how great they have benefited in his really tough time for our country But look amazon's not going to miss a beat andy jazzy. Jeff clone bleeds amazon. Blew has been basically attached to jeff bezos hip for more than twenty years. He's an incredibly talented competency. Oh who took. Aws from zero to fifty percent market share in the cloud. Space according to gartner so He's incredibly talented. He will help Execute on jeff bezos division. Basil's we'll take a back seat behind. The curtain is gonna shove jesse in front of congress and answer. All those difficult antitrust questions and basis is going to work on what he loves doing which is invention and future technology. Whatever amazon looks like five ten years from now will have been developed from. Basil's mind so he's not going anywhere. He's just removing himself from some of the shall we say more uncomfortable task. It's going to land on jesse's lap in the next You know one to ten years. As i trust drums or are beating louder and louder. So let's talk about some of the trends that you've been discussing Tell us about how you think. Amazon is getting into healthcare. They are already in healthcare. I mean they're providing primary care for you know scores of their own employees tens of thousands of their employees they They famously removed themselves from joint venture with jamie diamond and berkshire hathaway recently In the rumors from within inside amazon at the reason they did that is because they were holding back and the amazon pharmacy group which spun up recently. we're saying we can't move fast you know. We can't move fast because we're being held up by chasing in berkshire hathaway. So i saw that. A lot of a lot of people in the press came out berry and said oh. This means amazon can't figure out healthcare. It's too difficult. It's too challenging. I didn't see that at all. I just saw that you know amazon. Saw this as cutting weight so that they can really focus on what they do. And that's innovate
Mac OS Ken
Apple Retakes Smart Phone Sales Lead back From Samsung
"Meet the new boss same as the boss before the old boss literally ars technica has new numbers from market tracker gartner. That show apple retaking. The smartphone sales lead from samsung. Last quarter by the firms. Reckoning is the first time. Apple's beat sammy and handset sales since the holiday quarter of twenty sixteen. That said one quarter does not a year. Make actually need four quarters for that for the year. Gartner says samsung still beat apple and number of units sold. It's worth remembering as ars technica. Points out. apple released a slew of new phones in the holiday quarter. Samsung saw no flagship phones released in the fourth. Quarter of twenty. Twenty
Interview With Mayank Mehta
"Welcome everyone to another episode of it visionaries and today we have a special guest. The ceo of pulse qa. Mehta mayak. Welcome to the show. Thanks so much for having me appreciate it all right so right out the gate. We always allow all of our guests. Tell our audience. What the product that you bill does. What is pulse. Qa the best way to describe pulses What google is to search. Pulse is to research people have gotten really used to being able to do a search and come up with fast accurate and free results and use that to sort of informed their decisions and research on the other hand is extremely hard. Where you've to set up an account become a master and how to do surveys figure out how to contact the right people especially on the bbc this is even more challenging and wait a few weeks if not months pay tens of thousands of dollars for as incentives and then come back with poor quality data. And if you just juxtaposed the search experience with the research experience just a massive gap to be had our mission at pulse is to close that gap so ideally make pulse to a point where research becomes is easy as search where you can pick up your phone hoste question to the right audience get back results in real time and use that to better inform your decision so tell. Our audience. Wind is materially different. From let's say relying on a forrester or gartner to produce a report data on if i have like b. two b. application questions. Yeah a great question so we got started As you mentioned in the b. two b. world and specifically within that with technology decision makers reason being no technology decision makers spend hundreds of billions of dollars on technology every year some cases a trillion plus have been also cited. And there's lots of research that goes into making these decisions. There are three things that are happening. that are changing the traditional world of research in the landscape and why we think pulse is a good fit within this chain landscape number one. Is it used to be forty companies. That ruled the world. And now they're forty thousand. Would hundreds more coming out every your with accelerator wycombe. Or another almost just chugging out and you know it used to be okay for a centralized authority to cover. All of this is now increasingly difficult to cover those forty thousand companies but the power of the crowd and the platform that his pulse can actually enable that because on pulse it's not analysts that you're learning from. It's actually your appears that have been verified and brought into the network so you when you ask question and when you want to know detail about something that actually goes out to the right people they come in and the answer you get data back in real time.
AI Today Podcast: Artificial Intelligence Insights, Experts, and Opinion
Interview With Ahmer Inam And Mark Persaud At Pactera Edge
"We do have some great guests with us today. So we're really excited to have amer in phnom who's the chief. Ai officer and mark persaud. Who's the head of emerging experiences at pact-era edge. So welcome guys and thank you so much for joining us today but thank you got clean and wrong. Thank you for having in forward to this exciting conversation. We are to. We'd like to start by having you introduce yourself to our listeners. Tell them a little bit about your background. And your current role at pact-era edge Kathleen i'll go ahead and start amazon up. I'm the chief a offers. Subtle factor edge. We are global solution and services firms that balance intelligent digital platforms using human center design as a cool concept in philosophy the hallway bill systems maya background. I've been in the space of a medal for essentially my entire career Having played with fairly early machine learning. And you'll eulex model for almost twenty years at this point To most recently. A factor edge. My journey has taken me to companies like fargo sonic automotive. Vw see nike can be solution and at the now. I pass it off to mark to introduce himself awesome. I've I'm the head of emerging experiences at a bacteria edge So i have the job of being able to look across different technologies whether that's a our and our in vr virtual reality immersive Or things like voice and conversational. I and understanding how a i can play a better role in the technologies or with the technology whether it's within or atop a different digital ecosystems for clients though. I personally have a lot of fun with that role in general just because it gives me the ability to see how we can create value for users of creative ways with technology is where we might not see very consumer or user friendly and i might add like one of the reason why this is such a differentiation. Headed what you're talking about. Even sent to city in is market. Ni- expedience must. Genie are working together. Cohesively issue the cool part of the conversation that will be having at the at the upcoming event with community and is about building and designing intelligent digital platforms that are built with humans entity the human in the mind and building them to drive adoption so that we can take a lot of these concepts that are explored in a typical machine learning ai. In women in an enterprise and then take them to an enterprise capability and the part of their journey. At least an odd philosophy is that it has to lead with human simplicity. Really great insight. We actually had a podcast not too long ago with chad moro. Who is the cto chief. Data officer at fulton bank and he actually made a great point about the human center city of systems especially of systems that depend on data because he was saying you know at the end of the day the data represents people represents what people are doing it represents their money represents their finances and those finances represent their retirement college savings. They're they're living right and you and you can never it's people's names treat data abstractly day. Sometimes it's really very critical and You know one of the great things. Of course you can. You mentioned that you'll be sharing a lot of these insights at our upcoming machine learning life cycle events so for our listeners. You may have heard this on previous episodes but of course if this is your first time We run these online free conferences. That are focused on some of the hottest topics. Ai machine learning and our objective is to help audience and help people take that next step and move their projects and forward We ran a huge data for ai. Conference back. In september twenty twenty twentieth thousands of attendees. It was amazing. Hundreds of of presenters actually well. Over one hundred plus presenters was was gigantic and we heard as people wanted to get that same sense of insight into what's happening with machine learning so we have the machine learning life cycle of that which talks about the full life cycle of machine learning from building the mall to managing an ops and govern insecurity and that is the live part of the event is january twenty sixth through twenty eight th twenty twenty one if you elect to register go to m. l. life cycle conference dot com. We'll have that in our show as well and Yeah we have some fantastic presenters in five topics and three tracks and our guest here. Terra their edge. They're they're actually doing. A session. called accelerating accelerate concept to value human centric design driven a lot of words there. There's a lot of terms of people may be familiar with some of them. They may not be. So maybe if you can. Can you give our listeners. A quick of what the session is about. And maybe some of the main questions and pain points that you're going to be addressing. Yeah thank you. Ron and actually just to right and it may come across as a laundry list of technical jargon and it's it's an i wanna make sure we can talk about it. In some of the audiences are going to be ingenious and audit back on both mock. You come from. Jean backgrounding ingenious with talking about the art of of humanity which the human centric design. What are we going to talk about. Is this first. Thing is gonna lay out the burning platform. We have seen the statistics enough data from gartner to idc that talks about the failures off a adoption. the data continues to show about eighty to ninety percent of machine learning data signs. Big data these initiatives famed to drive value. Because they're not getting adopted and if they're not getting a doctorate in driving value
AP News Radio
Ovechkin returns, scores OT winner as Capitals beat Bruins
"Alexander Povetkin scored the overtime winner in his return after missing four games due to covert nineteen protocols as the capital's held up the Bruins forty three well that's can beat Boston goalie Tuukka Rask on a wrister from the high slot just twenty eight seconds into O. T. it was a Vatican seven hundred eighth career NHL goal tying former capitals great Mike Gartner for seventh all time Washington led three to nothing midway through the second but the Bruins rattled off three unanswered and tied it on Charlie McAvoy's rebound tally in the final minute I'm guessing Coolbaugh
"gartner" Discussed on Logic20/20's DigitalNOW
"I bet you your nine month old is going to be all over this By the by the time by the time they are. They're using their devices. Right like this. This will be so natural to them that they won't have to distinguish between what is artificial intelligence versus. What is just regular software. They'll just be like yeah insistent. It's here to do my work. And here's out when it us. Yeah it'll just be the normal right now. I mean she's already trying to use my phone. Says she's very she's already on the path anyway working between different systems. That's that's got to be a huge timesaver for any business. Which like you said you can then go and put that time into more value out of toss. I think. That's that's crazy to think about that. That's not being adopted as quickly as potentially it should be. It's a fair point. And i'll say this ad for the next question the business case for our. Pa is very very appealing right. If you have a piece of software bought that could do the equivalent of a human beings worth the work you can have the run twenty four seven and the amount of amount of work that you could process with at one bought is equivalent to three people's were right because you've got eight hours in twenty four hours in today's we've essentially got approximately three employs with work and get this. The license cost for that. One bought is a fraction of what it normally costs. fulltime resource right so Approximately fifty thousand dollars for one license to operate fully autonomously. So you can see just based on those numbers alone. The business cases quite Quite substantial once you start to save. Save some time a very appealing to to any business looking to upgrade their systems. What's the demand for appear in the market right now. I was reading something and gotten that said that. It's estimated that up spend will reach two point four billion dollars by twenty twenty two. You know that's not too far away so obviously the bucket is saying this and this demand whereabouts are we in that. Yeah i think that that gartner estimate is actually an underestimation of what the market size. Actually israelis Yeah what i'm hearing from. Marketplace's accompanies like you i- path companies like automation anywhere are looking to. Ipo right with seen blue prison. Which was one of the first companies to to ipo when they went public their stock went gangbusters. Right because a lot of people understood the value of what the software was was bringing in..
News and Perspective with Tom Hutyler
Gartner Says Global Smartphone Sales Declined 5.7% in Third Quarter of 2020
"Have any pandemic other points in every of this week. aspect We're going to see of the some market, rain including come in cell by phone tomorrow sales. evening Third quarter and sales stay with us, of probably smartphones into down the new year 5.7% high temperatures this year this from week 2019 in the upper that's represented forties. In many cases, that represented some today today some good could could news because hit hit quarters 50 50 degrees, degrees, Although Although one here here and in in two Seattle, Seattle, Saw probably probably 20% not. not. declines Right Right in now, now, sales Sonny Sonny and and The 41 41 year 2020 degrees degrees was supposed come come on on to be his his the time time year that five 10 10 55 55 G what mainstream preparations preparations but because of the pandemic being being made made for for and the the annual annual expensive Times Times handsets Square. Square. New New Year's Year's that typically Eve Eve ball ball ranged Drop. Drop. Baby Baby in the area sees sees of Mark Mark 1000 Rebel Rebel bucks. are are reports reports workers workers Sales have have just installed installed didn't 192 192 happen to take off our
Talk Python To Me
Python at NASA Jet Propulsion Laboratory (JPL)
"Angles especially around some of the remote stuff. A lot of things you guys do work with like Rovers. You talked about spirit just to have a conversation with those things is like we complain about late and senior website was slow or I was playing this game and it was hard because there was. Two hundred milliseconds of latency. There's different kinds of latency out in space. Right? Wouldn't the speed light is not enough. So he can some of the smart and putting it on rovers and other stuff. Some of this ai work that you're doing. It sounds like it might have some lakes Ai I. Hope. So and we think it does too. So Michael, basically the work that. We're doing for your listeners. We have a project that we've been investigating now. So let's fast forward the clock rovers nowadays the last one that landed on the planet. I won't say that we shipped because we just shipped one, which we'll talk about called does a couple of weeks. The right we did pandemic shipping and launching of rockets, Rovers, new fad but yes, for pre. That pre pandemic in two thousand, twelve, we ship the the Mars Science Laboratory or the Curiosity Rover, and that one is about. So spirited opportunity just the size them ver- you know your listeners it's about the size if you have kids of one of those cars that you push maybe or something like that or maybe like a power wheel big wheel type of thing that size. Of Spirit and opportunity the MSL rover is about the size of a small car like Volkswagen bug and if you came to jpl and it was open to have these some day and things like that, you could walk into our building agency a full scale model of to really get the feel of it but that's the size rover over that we're talking about now that's. Sort of the modern class at them and so twenty, twenty s the perseverance, the launched it's the same size. So we've got MSL still operating spirit and opportunity arts anymore because they were solar-powered MSL is powered basically by nuclear fission uses an rtd power source and things like that. So it doesn't have to worry about solar panels so it can go for quite a while and. Has Been. So it's a great test basically as long as it mechanically is still functioning right? Absolutely and so challenges with mechanical functioning are like, Hey, we learned a lot about the wheels for a car sized thing as we drove over walks in it toward the wheels up, you know and things, and so we did we learned a lot about them if you look at one. Quick Update and twenty twenty as the wheels have little homer simpson speed holes are not speed old but holes to prevent having just track and tread that dies catching on everything and that's just one thing we learned amongst other things. We've got smart engineers JPL. MSL's agree platform to test stuff out on. However let's talk about AIML L. I'm going to dispel some missing rumor so. MSL and space assets and others they all need right we gotta do computing we need a processor and A. And things like that they are running off of an old the what is that the latest? GP probably like a Invidia like twenty eighty something like that. Yeah. Everybody thinks that and I know you're being facetious and I liked the snark it's awesome. But yes, no, and that's the challenge. Everybody thinks that and it's not it's running off of a rats fifty, which is a be a h that's as bad as powerful as a POWERPC chip and process or in so and why real quick y right when we crash something in the government, we've got a congressional inquiry that we have to respond to. This virtual companies do it and we love the commercial companies where partner with them. Now, they don't right they I mean not to say that it doesn't ruin their value stream or their reputation or things like that. But they've got a little bit more flexibility to do testing and stuff like that than we do and so we are risk averse by profile definition, and so because of that, we were only use things that are what we. Call radiation hardened, which means that when it gets up there in space, a space does and cosmic radiation do weird things to your hardware they flip the bids amongst that's the easy stuff they do. They do a lot of other nasty stuff and so you gotta make sure that the hardware works in space and so because of that the technology, the Gartner life cycle for what we could use for that is real behind and so this big. Smart this big. Potentially smart you know and it is smart. They did great things on MSL and they're going to do even greater on twenty twenty is writing off of an old processor. So the I is human in the loop even more. So coupled with the fact that you alluded to, Hey, you know bandwidth latency you think that's an issue the lifetime from Earth to Mars eight minutes round trip. So anything you send to Mars you, gotTa. Weigh eight minutes to figure out what the heck happened or even what happened for your report back. Then you know that's not it doesn't all have to be synchronised. They're asynchronous ways. There are ways to kind of achieved some advantages and key things up, but it's still it's eight minutes basically, and so because of that, there's a video on youtube by the way for your listeners. If you haven't seen it, it's called the seven minutes of terror. Closer to eight. Yeah. Yeah. That's a great one. Yeah. Yeah. That's for the entry descent and landing. When they landed MSL curiosity, they had to use a big sky crane instead of the typical big balloon rap the rover to balloon it let it balance which was the way they did it before it was so big they had to have this elaborate sky crane thing and in that seven minutes when you go into entry descent and landing there seven minutes before you knew, Hey, what the heck happened and all this stuff had to happen autonomously and things like that, which is great. But yeah, normally eight minutes and so if I told you today that the Mars surface operations people use about two. Hundred images a day that are taken from the rover from its NAVC cans, which are camps by the wheels, and it's Mass Cam, which is the big head that take selfies and other things that you see what it's arm. If I told you that today, they only use two hundred images to plan what to do for rover operations. The next day you'd understand why we're bandwidth limited or Ltd what we can process on the reverse sucking them down to the ground and making decisions. What if I told you tomorrow? We'll get close to that nvidia chip maybe not exactly but there's efforts called high-performance space like computing to build a multi-core. GP. Like chip that is radiation hardened. It's a big government project. That has an emulator already that they're making and that we also today have Mars helicopter I'm perseverance, which is a little drone that went along with it that if successful is running a qualcomm snapdragon, which is gp like chip and why are we not fully radiation hardened and all this? It does we've tested in whatever but it's not like has the years and years of testing. Why are we doing that? Because it's a technology demonstration and we have a bigger like the mission is still successful even if Mars Halley you know is not successful with that what you call ingenuity right and I. Suspect that the risk to a little drone helicopter thing
Recorded Future - Inside Threat Intelligence for Cyber Security
The Emerging Role of SASE and the Cloud
"Want to touch on this this notion of Sassy and how that applies to things like zero trust, let let. Can we start with just some basic syrup for folks who might not be familiar with? Can you describe to us? What is Sassy? Sassy it stands for secure access. Edge and it's an emerging concept I think that Gartner kind of put out into the market about a year or so ago. And it's really about moving the The network security stack to the cloud. And when you think about what a network security stack is, it's a combination of things that include. firewalls and secure web gateways and VPN type technology software defined perimeter. remote browser isolation. The number of things that you used to have in your organization on premise, all of those things that entire security stack is now kind of migrating to the cloud, and when that occurs, users of this new security stack this residing in the cloud have a better scale ability better security better control. and there's a lot of. Lot of larger corporations that are starting to put these security stacks together and an offer. Sassy type services if I if I were to go back in time I remember when there was a an appliance for every one of those things that I just described you know a firewall appliance, secure web gateway appliance of VPN appliance and then. During my fortinet days I saw that consolidation occur into what was called a UTM unified threat management where all those different technologies. Instead of being separate appliances, they kind of consolidated into a single appliance all in one appliance. What's now happening is that same concept of consolidation is occurring, but it's not an appliance anymore. It's all moving. To a cloud and consolidated into a single cloud. Are, there any limitations there are. Are there any shortcomings to to moving to Sassy? Argue that you know. They really want best of breed and they. They will argue that you can't really get best of breed when you select. No one single cloud provider to offer all of those services, so some organizations will see that as a weakness and say well I want. This part of the security stack provided by a vendor. Era Acts in a different part of the security stack offered by vendor Y so that they can build a kind of best of breed approach. That I think is probably one of the biggest limitations to doing it. And what are some of the major benefits? Then we'll the benefits are that you don't have to go out and purchase all of these different appliances, and then try to deploy them everywhere. You have offices. It's all centrally located in the cloud, so it reduces your. Deployment footprint significantly, and the administration of all of those things starts to get a lot easier because the cloud provider is doing a lot of that a lot of that work for you updates and things like that so I think huge benefits come from that and I. Think one of the things that. was very telling. When covid nineteen hit, a lot of organizations scramble to figure out how to get their employees working remote better, and they were using the appliance approach. Their appliances weren't necessarily enough to handle the the low that they were now being tasked to put on them before they might have had on hundred users connecting to the VPN. And now it's a thousand users connecting to the VPN to get remote access to the network. So if they had deployed a Sassy solution is just a really a matter of dowling up more capacity from the Sassy cloud provider dialing down once they don't need any anymore.
Motley Fool Answers
How offices will change after coronavirus
"Office. Work will never be the same. And Ron Ronnie writes that of the thirty four percent of workers who are estimated to be working from home. Many will not go back. A survey of senior finance leaders by the research from Gartner found that seventy four percent of organizations plan to shift employees to remote work permanently consulting company global workplace analytics. Such a serious name estimates that when the pandemic is over thirty percent of the entire workforce will work from home. At least a couple times a week before the pandemic, that number was in the low single digits.
Live Happy Now
Making Time for Meditation With Ariel Gartner
"I'm your host and this week we're going to talk about something we all know about. We all know we should do but we might have trouble finding time for it in our busy lives. Meditation has incredible healing value for their mind and our body and today's guest is on a mission to get the whole world meditating. Reo Garden is a neuroscientist psychotherapist mom former fashion designer and the founder of Tech Company Muse created to make meditation easier. She has spoken about the benefits of meditation on stages around the world ranging from Ted talks to mit to south by South West. This week. She's here to talk about how we can. Master the art of meditating and find ways to fit it into our hectic wives are welcome to live happy now. It is a complete pleasure to be here. I mean what is better than living happy now? All exactly and you have so much to say about this. We have so many points that we can touch on with you. Because of what you've done and your interest in meditation and the things that you're doing to move meditation forward so I guess a great starting point is to find out how you personally got interested in meditation shirt so my own background is trained as a neuroscientist and I was working as psychotherapists promised a decade and I began working with an early brain computer interface device. So a little electrode that could track the changes in your brain activity and we recognize that the best thing we could do with this device was teach people to meditate. We had some insight into what was going on in people's brains and you know the brain is the seat of all of our experience. Anything youth think see smell talk about it as all mediated by your brain but we have so little access to it and when he recognized that we had way to help people reflect back on what was going on in their mind We realized that the best way to use this was to apply the tool to teach people to meditate so I was a psychotherapist in private practice. I'd be trying to teach my patients to meditate but frankly I sucked at it. I was somebody. Brain bounced all over the place. And I'm like I'm not good at meditation and I was teaching my patience and you know they would rarely really established the habit and we recognize that if we had a tool that could make meditation easier. We could fundamentally deploy broadscale a win. Did Meditation Become so accepted and embraced? You know when I was growing up I didn't hear about it. So when did it become accepted and also scientifically became something that they embrace as a practice? It's a good question so now there's over a thousand published studies documenting the scientifically validated impacted. Meditation on People's lives as a clinician as a therapist. The early two thousands like two thousand five thousand six it started to become part of our training and then towards the later to thousands. You heard about it more and more by twenty ten. It was one of the front line approaches for trauma and other obviously. There's lots of purchase trauma but meditation was something you were told to reteach patients from a general consumer perspective. It wasn't really until twenty fourteen. Twenty thirteen that you started to hear about it. In the general public at that point meditation was on the cover of Time magazine and it just cracked open that trend and you started to see a flood of articles of big. Ceo's were meditating athletes who are meditating and now only six or seven years later. Meditation is known as something that you should be doing along side brushing your teeth eating well and exercising. It's just understood among the educated populace that it's what you should be doing for your home. It's been a very fast ramp and we hear that you should do it but can you explain why because we here. It's good for you. It's going to help you be more calm. Be MORE PRESENT. But how does it really benefit us? What is it doing to our brains shirt? So meditation very simply is a practice or training that leads to healthy and positive mind states and there are many different forms of meditation. That you might have heard of a zen meditation walking meditation. Mindfulness the most common form that people learn. I is focused attention. Meditation so in focused attention meditation. What you're doing is you're putting your attention on your breath and when your mind eventually wanders away from her breath taller mountains. Do you then noticed that your mind has wandered and the new. Choose to come back to your breath. So it's actually incredibly simple exercise your attentions on your breath. Your mind wanders onto the grocery list or something else you say. Oh my mind wandered away. Okay backed my breath now. Well this might sound really simple. It's actually quite hard to do consistently and the simple thing leads to some tremendous benefits as I mentioned. There's over a thousand published studies demonstrating meditations ability to impact your brain your body your health. Your interpersonal relationships your productivity and more and so breaking down this very simple exercise most of us go through our lives with their minds. Just on autopilot you. We have thoughts in our head and we assume that those are supposed to be the thoughts that are there. That's just what happens and a lot of those thoughts are negative repetitive stressful when not particularly helpful. And they simply loop in our minds and we follow them and we think about them and then they make our experience of life somewhat negative stressful in repetitive. And Meditation. What you're doing when you notice that your mind has wandered and you choose instead of following. That thought like you normally would and now thinking about the grocery list or your upcoming basketball game or wherever. Your mind wanders. You're saying no I'M NOT GONNA follow that wandering thought. I'm going to choose to take my mind elsewhere onto something that is neutral like your breath and as soon as you do that you change your relationship to your thoughts see you now for the first time recognize that you have a choice about what you were thinking and so you can take your mind off of thoughts that are negative stressful repetitive. It's Nope I don't need to be there. Let me go back to something neutral and so as you do that over time you train your mind to stay in a place that is neutral. That is calmer that is not filled with thoughts. And that is actually in the present moment. And when you're in the present moment you're not thinking about the past or the future which is where your worries and concerns live the present moment you just have. What's Hyun in front of you? It's one thing to have that experience while you're meditating. How long does it take until you have that same experience when not meditating? You know even after you've stopped you're mad at the moment you have control over whether your mind is going so like anything. It's a practice. You can't just go to the gym once and then expect to be strong among later. You know you do it consistently as you do it consistently you built the practice so for some people you know. It takes a couple sittings of meditation to kind of get. What's going on and then it takes a couple of weeks maybe to start to notice that okay you feel a little bit calmer and then after a few months you recognize that you have more ability to really manage your mind. You feel less distracted throughout the day. You find yourself more focused you know. Maybe your relatives are noticing changes. How long does someone need to meditate in like daily because people say I don't have five minutes I don't have ten minutes? I don't know how long I'm supposed to meditate. How long do you need to meditate every day for it to be effective? So that's a good question and what you WanNa be doing is starting off with a small amount because the most important part about meditation is doing it regularly and building the habit. So if you start off with ten minutes Dan Meditation and that amount of time. It's frustrating to. You're probably not GONNA do it. So some people start with as little as three minutes or four minutes five minutes and then build their way up to ten. Most of the studies are done with twenty minutes per dave meditation. But it's also been shown that you can get benefit with ten minutes of meditation and that will give you an ice consistent practice us and is it something you necessarily have to do sitting in a corner quite a you know. Do you need to make space for it? Does it become something that you can do really anywhere. Ideally at something that you can do anywhere because what you're ultimately building is the skill of being able to be focused and attentive and in the moment wherever you are in a meeting in a crowded environment in times in real life where you're frustrated and you need those skills. So people find it useful to have a spot in their homeowners. Quiet because you can then spend that time really sitting with yourself and observing your thoughts but as you get better at it you want to be putting yourself in all sorts of situations where you practice your meditation so that you can draw on that scale when you need it anywhere
Jason Lemkin Clip: Why now is the best time to start a SaaS company
"A few weeks ago I had the opportunity to chat with former founder. Active venture capitalists and driving force behind. Sastre Jason Lincoln. Jason Zoster a community for Sassan cloud founders also organized the annual Sastre Conference in San Jose. That now attracts five figures. Were the folks each year. We spoke with Jason before the novel. Corona virus had evaded containment efforts affecting domestic markets after upending their counterparts abroad the current community since dacians forced Jason Deport. Sastre back a bit. But that doesn't mean that our chat with him any less timely in our forty five minute conversation we covered a ton of stuff from the potential for cloud slow down to how founders should use or not use venture debt to Jason's outlook on SAS consolidation. And even half asked. He's writing checks today. We're sharing one of our favorite clips here. The rest is over on techcrunch for excellence subscribers we're GONNA get into VC's lately that have been talking about the beginning of cloud. Slow down and I I. This is a very specific thing. What they mean is cloud is no longer an upstart phenomenon. Saas LONGER NASCENT. We've now seen a large percentage of the inner voice software world move over to SAS and nine means that the growth rate will descend as the actual aggregate basis larger and critically. They think that this might lead to income and squeezing out startups from certain spaces in the Saas market. That might have been attractive before. And this is from Alex over at scale venture partners recently and I thought it was interesting hypothesis. I don't see why wouldn't be correct. But I want to get your take on. I know your cloud optimist. You've always been a believer in my experience. So when you think about the maturing of this ass market does that leave less space for starts in as you look at the the overall landscape. Well let's see. I think there are two different points. I have two different perspectives. If you look at data from Gartner which is imperfect. But at least we haven't you. Can you can say that. Maybe thirty percent of old school on Prem type software has gone to SAS thirty percent so the pollen of user seventy percent left but the flipside is. That's a lot of market penetration right. It actually starts approach forty fifty percent. You should see a slowdown this secular trend into SAS. When when even when you started doing sas certainly when I started doing it was risky. It was quirky. It was weird. It was it disliked. It was it was not trust about two thousand sixteen through about Twenty Sixteen. Maybe even a little later at the first astronaut. Aaron Levy came one week after the box roadshow and asked him what the public markets. He said they're starting to learn about it. They're starting to get comfortable in two thousand fifteen. That's that's only twenty five years ago so we are so that thirty percent was probably eight percent right and so there is so there's so so there's a the good news is seventy percent left. The the risk is like you know there's only so much of this crazy growth and another thing happened. Which if you look at any Gartner or whatever this and this no one anticipated more of. It went we all knew there would be a substitution that of however you define it a trillion three and there's different metrics how much infrastructure include. We all knew that like the old the old on Prem Safra would go to sas we didn't realize that it would. It would take up thirty to forty percent more of those. It budget so they used to so we got an extra boost. People are spending more on software. No no one from scale no one from anybody realized we would spend more on business software because of SAS but has physical limits. It budgets are only be so much of global two thousand budget so these Amazing Trans created many many Saas companies. Doing a billionaire are billionaire are but but they're gonNA hit headwinds there. There's no question those headwinds that's different from whether that's going to box out startups. By the first half of the apotheosis there is going to be a slow down as we just forty fifty percents over the next five years. Yes there has to be and as we stop putting more and more of our fixed. It budget into SAS. These are two great trends and they will reach saturation. Got It okay. Now on certain point and and being boxed out using more skeptic I think this is the best time to start a startup time. Tell me why because all the SAS leaders are billion. Two BILLION COMING UP ON A billionaire. Zenda shop is the hub spots. They don't have taught they don't have time so if you're a billionaire and they're all growing like a weed growing thirty forty percents shop advice. Going fifty percents off. But they're all growing. They're all growing with a few exceptions. They're all growing north of twenty percent. All the leaders true. So let's imagine you're in a building air which now they're like twenty of these companies. How much do you have to add this year? Two hundred even three hundred. Maybe a lot you're thinking about non-organic time to compete with your little startup. That was just on tech crunch. You know ten years ago. Five Years Twenty fifteen. When when Aaron came from box Aaron would see a startup. Doing five millionaire. Get a little worried. I mean not literally worried but they. Hey this may disrupt me. Is that right Stewart. Butterfield doesn't have time he's GonNa read it. He's all over social media. He's an incredible founder but slack doesn't have time going to a billionaire to worry about someone that did five million has got to worry about. Microsoft has gotta worry big guy so that means you have a lot of air cover to get not just to a million before your competed with by maybe one hundred million owes underneath the. We'll just ignore you because they have to focus they have to hold it and adobe turning around now and everyone from fig on down is competing aggressively with them. But why because they're stupid of course not? They're very smart. Sap there they were busy. It's too small. It was too small right and there's too much growth in creative cloud creative cloud fuel the dobies text market cap growth. So they just. It's not that they don't watch what's happening with web flow and figment everyone. It's just too small until it's nine figures in revenue because figure has become materialists. I don't know how they're all super successful and it's not because anyone was dumb. It's just because you can't compete when they were small you just can't. You're too big. You're they've grown too quickly so it sounds like instead of this problem. It's actually there's there's more freedom because become now too busy to kind of mess with you get up to ten fifteen twenty million a are before they even begin the guns on your ship and because cloud got so big. These niches got big. Every niche. That used to be a millionaire NECC- now can be one hundred million Monday dot Com. Where you're talking about who we needed another project. Management for Non Tech folks that went from one hundred twenty million in four years. But that's a that's a piece like ten years ago. That would be a two million dollar business going to two hundred million so let's whole years one hundred times bigger. This little niche that Monday found and they're going to do a billionaire art. So let's talk about Vertical Saas. Jump ahead my question because this is what I wanted to get. Borough Ready It seems like you're thinking about Vertical Saas than isn't that this is GonNa be constricting idea but inside these these these takes on like the dentist industry or whatever and building software for those could be enormous because the niches have gotten larger to your points. I presume your a bowl on vertical sats. I've always been a ball. I would say even more simply. Look at any company to billionaire. Look at his desk job. Okay which is already two billion. That means they're gonNA keep growing. That means they're going to get to five or ten billion. My rough math is there's another billion vertical version of that so there's another billionaire could be more and that means there could be ten UNICORNS. One hundred million ten verticalised desks right And doesn't even have time to meet with them right. I Investment Company gorgeous which is like a vendetta ECOMMERCE. They're almost all on shop. Affi- it's very niche right. They're gonNA be growing three. X Ten million error. Is that tune it? People thought this company was to NICCI twelve. Apparently it's not nine. Three hundred percent honest has an offering it as a great product but all they do is make sure your fulfillment from instagram to shipping. That your contact center works magically. Which is good enough. Note is enough. It is enough to build a three hundred million Arab business. But it's just a niche today. That's so big because cloud is look how shoplifting. Today seventy million dollars in two thousand fifteen it was worth eight hundred million so these niches have grown astronomically and that means these vertical SAS things. We've like gorgeous and others. You turn around. And how could we do be a unicorn? Well it wasn't four or five years ago right when I met I met the founders only twice twenty fifteen. They were great but it wasn't clear it could be as big today but cloud. Gubbay point about Zen desk in there being room for ten unicorns underneath the desk at one hundred air. The implications vertical sights will still generally smaller companies than the original broader. Sass play so to me even smaller than salesforce. That's an example I don't Viva is a Pharma. Sierra Viva is the most successful verticals ass company so the CTO salesforce left salesforce a decade ago founded VIVA. It only raised three million dollars from emergence plus. It's now worth twenty billion dollars. Today he was also in my class. Like everyone did better than me in my bye-bye on the show but you should just get out. We should bring Peter Gassner. He's like a hundred times would have been me and vivas was twenty something billion and then how to products and he. He said look sales versus a great horizontal play I WanNa do Pharma and there. There is a legacy vendor in the space and it's big. It's a big space and all their deals are seven figure eight figure deals. But it's still. It's still a thirty billion dollar company and salesforce is one hundred fifty billion so I can't think of a vertical SAS that is bigger than its horizontal play but it may well it may well exist but thirty billion still outcomes. You're at three million dollar investment. Even if they are smaller by definition you know there's going to be enormous your general point about the client it's up it's becoming growing the high antigone larger piece of the overall. Everyone seems to be very hot. Verticals ask these days. So that's why I wanted to ask because they like it because the cloud got bigger and because competition is simpler the amount of domain expertise you have to do to build a viva is. It's rich compounds on itself and there aren't going to be twenty startups out of y Si. They're going to build that. But but and so there are these verticals because finally they realized they can be three hundred air business and then they can actually millionaire and they realized look it actually works. I can like I. Invested in in a SAS company just for environmental compliance called map history right. They disclosed their first. One million dollar deal okay. They have like no competition not in the whole space but in what they do they can have a few bumps and they can get through it. They have time they have times. There's not ten other players in the exact same thing. We've guys may disagree. But they had like one or two competitors and their original competitor was I think. Ms Dos based in offices. So you have time and so like this because you just. You're you're overwhelmed with the competition. You're overwhelmed with everyone. Wanted to take on snowflake and data dog and and there are many great apm companies. But it's exhausting. How do you know what's the next day doc?
The 7 Best Marketing Conferences 2020
"Welcome to another episode of Marketing School. I'm Eric Su and I'm Neil Patel and today we are going to talk about the seven best marketing conferences to go to in twenty twenty. I will start with the first one. I'm always looking at content marketing world. I think that's a great one because you have the best content marketers in the world talking about the Trans and the content marketing means not just konta marking. We're talking SEO as well. We're talking about how demand generation fills in with that too. We're talking about social media too so I think that's always a good one to take a look at number two traffic and conversion summit San Diego. Now they're trying to do events on the east coast as well in different states or countries. The reason I like traffic and conversion summit as you got marketed from all types of industries like INFO copywriting ECOMMERCE SAS and. They're sharing different tactics that they're using so most conferences out there. You'll see segments. Small businesses only or only enterprise fortune one thousand companies. But the reason I like. This is the variety of size of companies and the industries gives you a very broad range of new marketing tactic. style that you may have not heard about before. Yup That's plus one on that one. The last couple of years on three good so number three inbound inbound is put on by hub spot and actually become a really big congress. They actually have really good keynote speakers and just learning a lot about inbound marketing strategies in general so. I think the conferences. Maybe I might be wrong here. But over. Twenty thousand thirty thousand people or so. It's become really big. Neil yes a huge event number four so if you WANNA get into marketing or do while you may not have the to spend a ton of money paid ads. You may not have the time for. Seo So what other option do you have? I love performance based marketing specifically affiliate marketing. And you can check out affiliate world. Affiliate world has a ton of affiliate conferences throughout the world. Whether it's in Asia or Europe the. Us version is affiliate summit. And at this event. You'll not only need a lot of people that can grow your traffic also learn about Philly at tactics but the reason I liked the event is more so you can meet people who will promote your product or service for you and only charge you a fee. Every time they drive you lead or a sale all right so this is number five. I think so. Gartner Marketing Symposium. That's happening I think it's June and basically I mean Garner's while no research firm but the talk about insights top on new technologies strategy all that kind of stuff all marketing cool stuff and I think it's in San Diego Neil number six marketing school. Eric and I are marketing school. We have an event. It's in San Francisco March eighth ninth and Tenth. Which is actually very soon. You can learn more about marketing school dot. Io Slash live and we have really unique speakers and education that you can't get anywhere else. For example we have like the guy who grew facebook twitter Gora Talking about growth strategies that most of us have never heard of we have people talking about pricing. And how you can optimize the price of your pocket or service or SAAS APP and generate extra fifteen percent per year in revenue. So we have very specific speakers that a healthy solves problems in your business that you can see immediate growth. Plus we have an event also New York that's July thirteenth fifteenth. And then another one. Beverly Hills that one's November ninth through the eleventh. But we're trying to keep the group purposely small so that's another thing around it. The last one I'll put in. Here is the adobe summit so adobe is really good at just kind of all things around design but have a whole kind of creative cloud as well. This has about twenty thousand. Attendees I believe and they do this one in Vegas so you can have some fun. There eat some good food as well
Marketplace with Kai Ryssdal
Nissan to cut 12,500 jobs as crisis deepens after profit wipe out
"Have you along everybody up i in the yes business it is hard but how does that happen category today nissan prophets the japanese automaker fell ninety nine percent in the last quarter compared to the same period a year ago ninety nine percent and because of course the company announced it's going to lay off nearly ten percent of its workforce as a result almost thirteen thousand jobs worldwide what went wrong you ask says marketplace's megan mccarthy carino go just about everything nissan's troubles started piling up with the arrest of former chair and c._e._o. carlos gone on corruption charges last year that really put the company into a tailspin michelle crabs analyst for auto trader says that came on top of an ill-fated strategy to grow market share at the expense of profitability that caused some bad behaviors like relying on deeply discounted sales to car rental companies for a disproportionate share of its business that cut profits and tarnish the brand michael ramsey an analyst with gartner says says consumers used to see
Marketplace Tech with Molly Wood
The design legacy of Apples Jony Ive is iconic, but eco-problematic
"Apple is known for beautiful expensive products that get replaced pretty often either for status or because the battery is dying when longtime designer Gianni. I've left apple last month to form his own design company. Lots of people looked back at his time at apple and his influence on creating. Waiting products that were hard to repair prioritized thinness and beauty over sometimes reliability and whether as apple gears up to announce new iphones this fall that might actually change now that I've is Gone Kyle Wiens is the founder of the electronics repair site. I fix it. He wrote a blog post about ives mixed legacy at apple especially when it comes to the environment and he said sometimes simple isn't better. It's this idea that it should be so simple to use the you shouldn't have to worry about how it works. What's under the hood? They decided intentionally that they were going to hide the complexity of the battery from us but what that did is a side effect was it limited the lifespan it made these last shorter and and so then when the new you know a sexy renew features comes out next year like Ammiel one doesn't work as well. I'm going to get a new one. How much did these design choices influence? The rest of the tech world like phones used to have walkable batteries until the iphone came along and Apple Paul really you could argue drove the rest of the industry into this sort of more throw away tack. Absolutely they drove the rest of the industry this idea that it was acceptable that you could get away with say integrating the hard hard drive onto the main motherboard. If you want to separate the computer from the data. There's no way to do it. That's the kind of thing that that most other companies would have said No. That's a red line. We won't Cross Apple crosses that line and then everyone else follows you've also. Written recently about how Johnny is designs based on the style of German industrial designer deter roms and a principal like a really important principle of deter ROMs design was sustainability environmental sustainability and you talk about how Johnny lives is leaving apple without having reconciled really a big gap there. Why do you think that that shift happened and really hasn't been addressed right out of design? Principles Design Zayn is is sustainable and design long lasting and I think those things get coupled together when you do something like like doing in a battery that artificially limits the life of the entire device to the life of its shortest component. You're getting on this consumer a treadmill treadmill where we just have to go out and buy more things and the the environmental impact of manufacturing these things is significant. It's it's over two hundred pounds of raw material to make an iphone but the fundamental product architecture of saying as thin as possible and damn the consequences it really is a challenge. What we've seen is apple's environmental team who is very good have done everything they can to make? The products is sustainable except change the design that has been driven by Johnny Ivan his team and there have been A. A number of very specific decisions that they've made that of limited lifespan of these devices I think probably to the Chagrin of apples embarrasment team who then has to support it in the best possible late how much of it is on us the consumer I I mean we have certainly bought them all the time. We've complained about them. You know you've got rid of the headphone Jack. Oh I can't slot my battery out. This is so annoying and yet we we do keep buying them absolutely and this is a challenge that we have is a culture. Is it when you when you have something where there's multiple variables that you have to choose from you want the best audio player but you also would like something that will last a long time <hes> because it doesn't have stamped on the box. Hey this thing last eighteen months. I think we tend to forget we put out of our minds. Were not very good. <hes> psychologically it making long term decisions and then then later we tend to justify say oh well you know it's not running as as long as it used to but <hes> you know there's a new one that came out so I think I think that is <hes> they've been able to take advantage of psychology <hes> that yes we bear some responsibility but I think the lack of disclosure if they said hey if a single key on this computer breaks it's going be over a thousand dollar repair that might change people's mind when they're purchasing things up front but people don't have that information and how do you think that that mentality that psychology is starting to change sort of like as you get to the point where you're feeling like <hes>. I'm about to buy my fifth iphone. Phone this one seems fine except the battery for example and then of course there was the scandal about it. Do you think that as these devices get longer in the tooth. There's more awareness that they don't last as long as maybe they should or could I think so we're starting to see people wanting to push their devices longer part of that is the improvement in smartphones is not as great every year as it used to be so as that's potatoing. We don't need to get new phones <hes> all that frequently but the batteries don't last any longer than they used to so all of a sudden. We're GONNA keep our phones twice as long as did three four years ago <hes> we're going to have to be replacing the battery and at that point making those batteries available <hes> is going to be an important competitive differentiator and that's where you have companies like Motorola that have come out and said we're going to sell service parts for our funds. We're going to make them available both to repair shops into consumers <hes> there's a there's a crack that apple has left in the market that perhaps mother all will exploit so we could start circling back around to the beginning where we have phones with <hes> swap -able batteries and maybe S._d.. I D cards lots and so this is something really funny people as as because we take these things apart I take apart every iphone. There is room inside the Iphone S._d.. Card Slot. There's room for some cards. There's room for Nestea card. They put that in there the only reason that you can't upgrade. Upgrade the memory on the iphone is is because they want to charge you an extra hundred or two hundred dollars for the extra storage Kyle Wayans the founder of the electronics repair site. I fix it and now for some related links lots of words have been written about apple and whether it still has its legendary Mojo and what will happen now that Johnny Ive is gone but I fought Jonathan Troy Aikman in the New York Post put a really well a week or so ago you said apple needs to figure out how to keep creating things that we didn't even know we needed. We of course also have linked to Kyle wiens piece on our website Marketplace Tech Dot Org and obviously it isn't only design. That's made apple products especially the iphone more likely to get replaced then repair. It's also the fact that a new device gifts introduced every year always at least in theory with some must have set of features that means the old one is now useless or at best unwanted and then new features in its operating system. Them Aren't always available for older phones like in the upcoming thirteen. There's a software fix to keep your battery from overcharging which should prevent your battery from getting old and not holding a tarred so quickly after you buy a new phone except that I._S.. Thirteen will only be available on newer iphone models but it does seem like consumers increasingly want off the hamster wheel research firm Gartner forecast last week that smartphone shipments will have their quote worst ever decline in two thousand.