36 Burst results for "aws"

Fresh update on "aws" discussed on Insight Out with Billy Samoa

Insight Out with Billy Samoa

02:41 min | 18 hrs ago

Fresh update on "aws" discussed on Insight Out with Billy Samoa

"Amazon could have a hotel. I think Seth godin is his best. You know, if Nike had a hotel, we would know what would happen in that hotel. You could imagine what a Nike hotel looks like. It's the same thing with Amazon. If Amazon started a hotel tomorrow, we would probably all go. We could imagine our heads what it looks like. Like a whole foods there. And it looks amazing. So that's the key. The brand is more important. I think that played another good piece into Amazon Web Services success as well. Yeah, and the brand extends beyond one vertical that exists within this company because clearly they have their hands in so many different things. And some aren't as profitable as others. The margins just aren't there. And you think prime, yeah, I mean, made it so easy to get a package delivered to your house. And now Prime Video makes it so easy to get a movie delivered to your house. And obviously, these are just two of literally hundreds of different verticals in spaces that Amazon's in, but yet to your point, the consistent through line amongst all of these is the brand and the expectations of what you're going to get. Because you know when it's Amazon, it will be at a certain caliber that it's going to be fast. It's going to be affordable. And it's going to be Amazon. And it's going to be the known entity there is that it will always be an Amazon experience. And when it's an Amazon experience, whether that be cloud based services or shopping or entertainment, you know what you're going to get and it's you're not going to be disappointed. And if you are disappointed, they will take care of you. And so because of all those things, the brand becomes such a central component to the success of the business. And then when you operate in areas where you can have higher profit margins, and you can allow yourself to really have your fingerprint on so many different things. I don't think people even realize AWS powers almost anything and everything you could imagine. It's shocking when you look at just the reach and the scope. And so if you aren't aware, go ahead and do your own due diligence and research AWS and just see how wide and far the tentacles go. I want to double down on this culture piece. When you think about culture within the organization, clearly there's great companies like Zappos. There's southwest. There is companies that are known for building incredible culture like even a Netflix and what is it about Amazon? What are some of the things that you know aside from what you've already mentioned, having openness and other things like that?.

Amazon Nike Hotel Seth Godin Nike Zappos Netflix
"aws" Discussed on AWS Podcast

AWS Podcast

04:00 min | Last month

"aws" Discussed on AWS Podcast

"Whether it's video and audio and images a lot of organizations find are sitting on a trove of data and in many cases that trove of data is sitting in older technologies like tape based media archives the challenges of course how do you leverage these assets. So what the media cloud solution does is it sets up a service end to end ingestion workflow to move customer video assets and its associated meta data to the cloud and that can allow a customer to do to be able to streamline automate that entire migration costs more importantly to be able to use services like machine learning able to analyze data in identify events in break points and other types of data about that particular aisle that. Maybe you just didn't have access to before a good reason. Example of that is formula one formula one had a trove of ada that they had sitting in a tape based archive. And they work with us. Leveraging the media to cloud solution. It is one of the solutions that you can download from. Aws solutions library and stood that up tailored it and was then able to use that to be able to process. Or i should say store from the archives. Their tape archives lots of media that they're now able to use to better analyze some of those assets that they had another good example is in manufacturing. We're having lots of conversations with different manufacturers particularly around improving manufacturing processes. Something called overall equipment effectiveness. Basically making machines factory floor machines more productive and making sure that they don't go down in unexpected ways which can be very disruptive in very costly and some of the solutions that were able to bring to bear. Is everything being able to take data off those machines and store in the cloud to be able to analyze to apply machine learning and advanced analog lettuce and visualizations to improve reliability asset availability and overall at the end of the day provide value to their customers as an example of. Volkswagen is undergoing a transformation from an automaker perspective. They want to be a leader and stackable mobility and others a lot of emissions. That volkswagen has just one example of a customer. That's using that. And the other thing. That i'll i'll note. Is that vast majority of the solutions that we're bringing to market our partner based so in the manufacturing space i'll highlight one partner. Seek seek is a vendor who are independent software vendor provides the analytics hayler to the manufacturing industry to be able to provide rich insights to be able to harness all of that data. That's coming off the machines whether it's not based or internet of things based or a big able to tap into other systems like manufacturing execution systems or european data be able to bring that together to highlight new kinds of insights so those are just a few examples have many many more. I think it's so interesting. Examples you use across media and manufacturing these disparate industries but seeing that transformation so clearly yeah you know the other interesting thing in the perspective that i benefit from is you see that some of these use cases in these some of these solutions that appear very taylor to let's say manufacturing it actually be used in other contexts. For example in in retail the direct to consumer.

Volkswagen taylor
"aws" Discussed on AWS Podcast

AWS Podcast

02:16 min | Last month

"aws" Discussed on AWS Podcast

"Some of the things that we can also provide are is access to experts in resources folks who've lived the journey or maybe a step ahead and seeing what can be done in being able to meet perhaps similar challenges and we also have a rich set of programs that we can deploy to help customers navigate and really help frame up that business challenge in that ambition But i would say it starts with just having that dialogue with us through your eight of your account representative. Either way that i would say is you know. Maybe you want to check things out for yourself and you wanna see what's available. We have lots of resources on our website. it'll be west dot amazon dot com. We have lots of these blueprints kind of guidance in reference architectures and sample code that people can download and check out for themselves organized across many different industries and use cases in of course technical use cases as well that can allow folks to get started. We have lots of people who go there to kind of check things out late with things and see how they can meet those. Those business challenges also our partner network. We have many thousands of partners. Who are there who operate in those industries in in those particular domains likely have a lot of products that they've already brought to market and we love to highlight our partner solutions. And then the final place that i would call out is aws marketplace. it'll be marketplace. Is a place you can go to Directly consume software and stand. She aided in your aws account that's pre configured and ready to go so we have analytic space solutions and industry based solutions that can be deployed almost immediately and with very little friction. And we can put links to those resources are on the show note to. Can you tell us who is doing this already. Can you share some customer examples of success using solutions. Yeah of course. One example is our media to cloud solution so with the proliferation of media assets..

amazon
"aws" Discussed on AWS Podcast

AWS Podcast

03:17 min | Last month

"aws" Discussed on AWS Podcast

"One of the biggest customer questions we here is how can i leverage the cloud to implement a business transformation an answer to that question or aws solutions which are bill to address business challenges and deliver tangible benefits here to talk about what's available and what's next for. Aws solutions is joe chung worldwide director of solutions. Go to market joe. Thanks so much for being here today. Thanks so much for having me at script pleasure to be here with you. So joe can you give us some examples of business challenges that customers are facing today. Yeah i have a lot of conversations with customers. In one of the things that i'll start with is that there isn't any business or industry that isn't being faced with the question of how do i- digitally transform and that word itself i know his quite tricky and sometimes really difficult unpack. I remember the first time. I heard that were digital transformation. By over ten years ago. I remember laughing with some cynicism of that being the most ridiculous term that i've ever heard especially given that we're working with computers for a long time. That question when it was asked to me was in the internet era. So it was like we were talking about mainframes and mini computers back in the seventies but that question is really haunted. Me ever since and sort of the epiphany that i've had around digital transformation in that that challenge that creates for business is to think about an analogy from the industrial age arguably the most transformational aspect of the industrial revolution. Came with the electric motor goes in the past. Uh seem engine was pretty expensive and you only had one of them in. You had these belts in police in rods that would power many machines offer this one thing and so you know the move to electrical motors really changed things because you could shrink down. You could put it in. Every machine digital transformation to me is really akin to that period in time and the cloud in my opinion and some of the technologies that we talk about today like machine. Learning and artificial intelligence is essentially akin to that way. Where you know. It wasn't actually that long ago. Doing things primarily by paper to things being automated instead of the impact still many processes that are still arguing very manual april base. The challenge of course is each industry. How will these new tools that build upon the information age that you know over the last fifty years has been built up to be able to leverage to create new kinds of experiences. New products ought to be able to meet needs of today's day and age. Yeah that is a really great explanation for digital transformation. Because you're right that phrase can definitely raise some hairs of what do you mean by that and sounds shooting glances and some suspicion but you really put it into context for us. So why do you think. Solutions are such an important driver to address those business challenges. Yes solutions are important because it really helps.

Aws solutions joe chung joe
AWS for Health Offers Transcription Assistance and Ambient Listening To Solve the Problem of Note-Taking in Healthcare

Project Voice - Healthcare Summit - 2021

01:49 min | 2 months ago

AWS for Health Offers Transcription Assistance and Ambient Listening To Solve the Problem of Note-Taking in Healthcare

"As well. Medical doctors spend too much time writing notes, kws for health provide better solutions to address this problem and in your estimation, what's the best current product that allows physicians to better capture no sir voice accurately? Yeah, I don't know if I can pick a winner on the last part, but yes, this is something that we're doing a lot of work with that we call a group of things like transcription assistance or ambient listening solutions, right? You know, where they're able to do that. And one of the things I would note is that, you know, with some of our partners working with Cerner, for example, was one of our strategic partners. And we've developed a transcription assistant with Cerner that is something that can be utilized. It was actually demonstrated at one of our conferences when we used to have in person conferences. And. These kinds of tools can plug right into electronic health record systems and provide that kind of direct transcription notes and other. Annotations and things that physicians or anyone else provides. And then with some of our partners, we've been working in very specific workload scenarios like in the work that we've done for customers like Houston methodist where we utilize these tools as part of the surgical setup and. Note taking in theater experience. So surgeons are able to not just describe what they're doing and have that entered into the record, but also utilizes voice control for some of the essential things that they need to do without having to take their hands away from the patient.

Cerner Houston
How Can Family Physicians Utilize AWS for Health Technology?

Project Voice - Healthcare Summit - 2021

01:52 min | 2 months ago

How Can Family Physicians Utilize AWS for Health Technology?

"What are the greatest opportunities for family physicians to utilize your technology? I think one of the. You know there's many dimensions when I think about it. You know, when we got started, what we see a lot of physicians making direct use of it is in better kind of activity and better connection with their patients. And actually utilizing AWS for a lot of immediate analysis on the populations that they work with. And so, you know, there's some really easy to get started with tools that can be used to do basic informatics work or light population health work where physicians can take a look and try to understand if they're emerging trends or other kinds of maybe disturbing trends emerging in the population that they serve. And then also foster a closer connection between them and that population. You know, getting them connected with a lot of the different digital front door services that we have to help guide patients through their care. Or the different kind of health dashboards and things that connect them to their records and notes and other things. And providing a space for physicians to interact with their patients directly, but without having to see them face to face and crowd them into their schedule. So I think there's a lot of opportunities for individual physicians to even just hop on and utilize these technologies and really jump start help accelerate their practice today.

How Can AWS for Health’s Tech Help Customers Navigate Resource Shortages?

Project Voice - Healthcare Summit - 2021

02:06 min | 2 months ago

How Can AWS for Health’s Tech Help Customers Navigate Resource Shortages?

"Do you AWS for health? Help customers navigate a shortage of nurses. You know, a big part of your post that you wrote to kick this whole thing off, which I posted in the chat talks about managing costs, managing resources. You don't have to tweet or something. Some healthcare systems offering any nurses will show up as their license and credential person, of course, $5500 a week. So, you know, that's a lot of money. It's blowing a hole in the cost structure of somebody's organization. Can you speak to that issue and how you think about it and how you help? Yeah. That's good money. My daughter's a nervous I should let her know. But, you know, the way the way we think about it is that these technologies can be utilized to achieve the scale that we can achieve in other areas. You know, things like the nursing shortage and different places, especially due to the pandemic itself and things. Really, you know, the kind of uneven distribution of resources that just take place takes place sort of naturally across any system. But it's really felt very acutely by those in immediate need and with a need for nurses. And so like we saw last year with the emergence of effective telemedicine, not, you know, the technology was there. The tools were there. But what, you know, the change in reimbursement rules and everything allowed for was better mobility for telemedicine services across state lines and across large geographic areas and things. And so it was really able to sink in and take advantage of the technology to scale that way. And in a similar sense, these technologies and tools and what we've pulled together with AWS for health is a set of things that can be utilized to help offset those resource shortages in particular

What Is AWS for Health’s Role in the Emergent World of Voice Technology and Conversational AI?

Project Voice - Healthcare Summit - 2021

02:24 min | 2 months ago

What Is AWS for Health’s Role in the Emergent World of Voice Technology and Conversational AI?

"Describe what you see with your role with AWS for health. When you look at this emergent world of voice technology and conversational AI, you know, there's a lot of businesses in this space before the pandemic. It's growing. It's an area of opportunity to share your perspective. Yeah, no, this is actually probably one of the most fascinating areas that I see. And actually mark from constant companion touched on something that I think is probably the most valuable aspect of voice and conversational AI, which is to make things not only accessible, but understandable and comprehensible by everybody for everybody, regardless of status or age or anything. Everything from elder care to providing better kind of interactivity and understanding to people who otherwise would not have access to these advanced resources to all these other things. So I think, you know, what I would look when I look at it is that, you know, a lot of initial uses of things like conversational AI tools focus on enabling capabilities that we all kind of take for granted, right? Today, the normal actions turning on the lights and so on. And I think going forward in the future is really the potential here is that what we have is a tool that can make the advanced work that needs to be done in healthcare or chronic conditions and things like that. We can make that accessible and understandable by everybody. So that my grandmother and everyone else can utilize these things just as a regular part of their everyday existence and still access resources that would otherwise be limited to just waiting weeks and on end for a specialist to explain it to them and even then they don't quite understand all the ins and outs of it. The potential of voice and conversational AI is that what you have here is a patient never getting tired kind of resource in front of you that will explain anything in the world to you.

Head of Tech Pat Combes Explains How AWS for Health Ensures Data Privacy

Project Voice - Healthcare Summit - 2021

02:34 min | 2 months ago

Head of Tech Pat Combes Explains How AWS for Health Ensures Data Privacy

"AWS for health ensure the type of data privacy and integrity that healthcare partners might ordinarily associate with independent smaller players? It really, how do you view the challenge on you approach building trust? Yeah, no, it's a great question. And that was a tremendous thing and really a big fan of all the work that concert convenience is doing. We approach securities what we always say around here is job zero for us, meaning that we approach every it's part of the design, it's part of the consideration immediate considerations for everything that we build and everything that we do. And what we provide is a series of real core component services that can be utilized in any number of ways to service any number of workloads. And each one of them is built with this focus, this very direct focus deliberate focus on security, auditability, traceability and so on. And so when, you know, when customers use that regardless of their size, you know, if they're just getting started with AWS, they're a small partner or if they're a large enterprise, they all have access to the same set of security tools and controls and everything that we've placed inside of each one of these services. So we set out with the intention of actually building a number of these to be fit for use within healthcare within finance within government and so on. And so we approached this very deliberately by providing those tools and controls within those services. And then making them available to everyone and all the fixes in advancements that go with that available to everyone. And so part of the part of that, of course, is that we try to make sure and include all the services that we can on our BAA that we provide with HIPAA and things here in the U.S.. And then similar security frameworks around the world. And then also provide a set of additional tools that could be directly extended or inherited by customers under programs like high trust, where we recently expanded the significantly expanded the scope of services that are included in the high trust framework 9.4 of the CSF.

U.S.
Here’s Why Now Is the Right Moment for AWS To Focus on Healthcare and Life Sciences

Project Voice - Healthcare Summit - 2021

01:46 min | 2 months ago

Here’s Why Now Is the Right Moment for AWS To Focus on Healthcare and Life Sciences

"So from a healthcare point of view, life science is point of view. Why now and what do you hope to accomplish over the next one to two years? Yeah. Well, why now it's sort of, you know, one of the things where, you know, why not now, right? I think we have been AWS has been around for 16 years at this point. And was the earliest established cloud provider and within that about 8 years ago, we pulled together a practice focused really on healthcare and life sciences. And we saw that grow just the incredible number of customers and partners that we have today. And we just didn't reach this point, especially with the pandemic, where we had a number of institutions small large and everything turned to us for common tools, assistance, better connectivity to their coworkers, better connectivity to their patients and so on. And with all of those things kind of coming together, we realized we reached a point in terms of that overall availability and complexity that it was becoming challenging for new customers and new partners and everyone to really get started easily with us. And so, you know, really the sort of the answer to the why now is, you know, that we hope to really help people sort through just remarkable volume of things that have developed on AWS.

What Is AWS for Health? Pat Combes, Head of Tech for Healthcare and Life Sciences at Amazon Web Services Explains

Project Voice - Healthcare Summit - 2021

01:44 min | 2 months ago

What Is AWS for Health? Pat Combes, Head of Tech for Healthcare and Life Sciences at Amazon Web Services Explains

"And AWS for health is a program that we started to really help our customers and partners way through the universe of the entire maybe more of a constellation of solutions and tools and. All the different examples of things that have been put together over the years to service the needs and workloads that we've encountered in the industry. And so when people are confronted with AWS and for the first time, they often find it to be pretty daunting, just the we have more than 200 services managed services that are available on the platform. We have a real number of additional tools that are immediately available for use by people and we have tens of thousands of partners in our partner network. And by giving by putting together AWS for health, what we're hoping to provide is a really more of a guided experience for everybody so that they can get started quickly and really let us handle what we always termed to be the undifferentiated heavy lifting. The common pieces that are always needed for every type of solution, be it security or all the encryption necessary or just the base infrastructure and that's needed for all the different solutions that people put together. What we're hoping is to provide is a real quick on ramp for all of that so that everyone can just get right into the media work that they're trying to deliver for patients and providers around the

"aws" Discussed on AWS Podcast

AWS Podcast

08:05 min | 2 months ago

"aws" Discussed on AWS Podcast

"Trends in customer conversations so given all those benefits what might be preventing organizations from taking advantage of these capabilities in their own. Context inte- for smaller organizations. It can be a lack of time and more than half a small businesses about fifty five percent. Say they don't have time right now to implement. Ai solutions of course. Our budget considerations as well many perceived the costs are complexity of modernizing their contact centers. Being too high businesses might also worry that. Ai and m. l. can't create a truly natural and seamless experience for the customer. So then thinking about that. How can connect help. Organizations take advantage of an ill in their own. What amazon connect has built in intelligence and it's enabled with ai and machine learning by default. It's also simple to set up a news. So organizations can launch and omni channel context censure and experienced the benefits. Right away when example. Taking advantage is using natural interactive voice response or ivr an interactive chat bots these making engagement fast and easy for customers ivr and interactive chat bots are driven by amazon lex which is the same automatic speech recognition technology behind amazon alexa. It empowers both live agents and chat bots to drive more relevant messages. It does by integrating with crm systems which creates a positive feedback loop. So let's talk into that a little bit more harris the so of the time together. A hill into the context inter help guidance and manages understand. What the customer sentiment is sure. Well for agents. It makes their job easier with faster. Access to knowledge built-in a. and m. l. capabilities allow agents to anticipate customer needs and proactively offer resolution. This personalizes customer experience through voice and chat. It allows managers to be more proactive assisting in the moment which provides a better experienced for both the customer and the ancient l. get businesses the agility to use historical data. They can learn generalize and predict caller intents for future interactions when agents have that information at their fingertips colors. Get fast personal thing. Namic and natural experiences best of all it eliminates the need to use a rigid and difficult to scale rules-based system for example contact lens for amazon connect offers an alert for anytime a customer says not happy or cancel my subscription. A supervisor's can identify when to assistant agent on live calls. And then they can provide guidance phya chat or have the ancient transfer the call then amazon connect wisdom uses real time called transcripts from contact lens for amazon connect to automatically detect customer issues during calls the agent a supervisor can then recommend relevant content stored across connected knowledge repositories since really interesting. So what impact. In what does this mean for the customer experience overall well. In addition to empowering agents to deliver better customer service amazon connect automates customer interactions with natural contact flows and skills based routing these features help ensure a smooth customer experience as we touched on earlier customer sentiment and inside to crucial to delivering a great experience so amazon connect also used his automation to track. Customer sentiment through real time analytics. This way with as synchronous chat customers can start one chat session then return to another without losing historical context and if they can start chatting with contact center agents any business application web or mobile device the conversation context and transcript can then be shared across agents and channels no matter where the interaction continues or a customer can keep working with the same agent across channels and this preserves. Our interaction history. Which means they get. A seamless experience regardless of agent or channel so the combination of automation. Ai and machine learning is really about delivering the easy intuitive self service that modern customers expect so. This is pretty good. And i get so safe. I'm a customer law. I'll won't these. How do they get up and running. So amazon connect eliminates the complexity expense in manual configuration of the traditional context center so it takes only minutes not months to deploy a pilot or an entirely new contact center. In contrast current context energy solutions can take months or even years to deploy an organizations may need to hire or contract team of specialists to support those contact centers. In addition to being fast and easy to launch amazon connects simplifies things even more with an intuitive user interface it creates voice and chat contact flows or agent tasks without any coding so businesses of any size can tap into the power and agility of the cloud. I have to admit the dragon dropping suffice. Ease a lot of fun and you can change voices and do all sorts of good stuff. So heck can customers fond more amazon connect. Well they can visit are featured partner website at aws dot amazon dot com forward slash partners forward slash featured for its slash contact dash center. And they're they'll find a whole host of resources and of course. We'll put that lincoln the shots so that you don't have to memorize it whilst listening but also one last thing actually. I'm a customer and of god. An existing context into that. I wanna margaret or. Maybe i'm thinking of writing a new one. But i wanted to be extra sleep. Especially customized. can i get help. Absolutely organizations have any size can get technical expertise in support for implementing and optimizing. New technologies certified. Aws partners can provide expert migration support and integrations for amazon connect and we have to partner categories aws consulting partners are ones that have a deep understanding of specific aws services they bring expertise and best practices to help organizations adopt and implement aws services at scale and they help remove barriers to deploying an accelerating the cloud then they're aws technology partners that provide technology solutions that integrate directly with amazon connect. This extends amazon connect contact center functionality with popular services and solutions that are seamless and quick to deploy in a few simple steps and because amazon connect is an open platform it can easily be integrated with existing. Aws services and third party systems including crm help desk outbound and more. that's fantastic. Shall we say thanks so much for joining me again on the podcast to demystify this world a little bit more. Thank you for having me. And thanks for listening. We do love to get your feedback as we continue to open the discussion on improving birth pasta and age and experiences in the conduct center and next time keep on building..

amazon crm systems harris Aws partners lincoln margaret
"They wanted the voice to be as realistic as possible." - Orchid Bertelsen Head of Digital at Nestle Talks Virtual Humans and Alexa Projects - Voicebot Podcast Ep 217 - burst 12

The Voicebot Podcast

03:11 min | 3 months ago

"They wanted the voice to be as realistic as possible." - Orchid Bertelsen Head of Digital at Nestle Talks Virtual Humans and Alexa Projects - Voicebot Podcast Ep 217 - burst 12

"We didn't know if we wanted to go full digital. He'll en route or an avatar leg. Almost twenty twenty version of the x are like on an animated character and think meantime when it comes to urging tag a lot of people have their own opinions on it a lot of union a lot of meetings almost every single meeting with leadership getting up to the point. They're like ra creepy. We want it to be creepy right. And when they see creepy rinsing uncanny valley without realizing which is when you're interacting with a being pay or avatar agent of. It's real or not and we can certainly talk about on the coffee test turing test or whatever we totally but for us we are able. Let's let's test it right leads to a very quick test and let's see if there is a difference between how consumers react to a pixar like animated character versus a digital humid and what we found through. That research was that there was actually very minimal. Difference on how consumers reacted to the face but the difference of were uncanny valley came through in the voice. They wanted the voice to be as realistic as possible. Which led list go into that because as fascinating too because with the voice. Yeah i think a lot of is about setting expectations. A lot of people thought that the this experience was going to be talking to zero or talking to your google home or whatever it is and we actually have two rows that you can t when it comes to the is each part of your voice tech stack and you go on daily. That's a devolve ways whether something google dialogue flow offers amazon. You know holly offers or microsoft or you can get a voice actor and you can have them free reward in different messages now. The challenge with voice actors is that now. You have to go back every time you want to update experience. You have to go back and breathe. Recording licensing is expensive talent fees. Things like that so we went our what is off the shelf. But what is the best version of the off the shelf that we can get it because it gives us more flexibility. Not because it's cheaper rate so when it interested in voice text act. There's speech to text the nlp engine and then text to speech so species taxed and all the engine. We used dialogue gould outflow and then really what was up in question. Was this text to speech. Portion of it i went through all the voices so we decided we ended up landing on. Aws polly neural time because the pacing was the most natural because for a while and this is still something. We're working on. Because i think facing perfect yet because she she's very deliberate and takes pauses in swimming pool. Lake wars on a vast new york. East coast hawker fingers. But you know so. So that's where we're at and that's something that we're saw

Virtual Humans NLP Choosing A Voice AWS Uncanny Valley Pixar Google Holly Amazon Microsoft Gould Swimming East Coast New York
"aws" Discussed on AWS Podcast

AWS Podcast

02:20 min | 3 months ago

"aws" Discussed on AWS Podcast

"Fixing bugs. Pays you back in the end there. You go save money as you fake thugs or right right. One liners basically right less lines of code. Alright subic will so again. It's just really easy for me to get started. I just go to the console. I go to code guru and then i can connect my repo and go from there basically right for eight your event you can also automatically once she created event. Send an invite out chip participants. So you you control. Who's participating they sign up you can at you repose and they go bus bucks so seriously so cool. Is there anything else that you guys wanna tell our listeners that we maybe didn't cover utilize the thirty day pretrial as much as possible even as possible in the thirty days got it used the thirty day drought emphasis. Go bus the bugs and have fun. Like we know that this is like it's a tedious process and like is this is a fun way to to get your teams together to brush box bust drugs using machine learning and you never know you may learn more about your kobe's along the way i mean. We have even beta customers were. We had somebody say. I didn't know anything about java before i did this. And now i do so like this also stuff to learn about the knowledge transfer. Lots of fun to be had so so cool will thank you guys so much for joining me to talk about bug bust. I honestly i'm really upset. I can't participate in this competition right now but i'll get over it all shed. My tears later can send you some swag anyway. I'll thank you appreciate that as if i participated in. I've asked bugs every friday. So i should get some points for that anyways. Thank you guys so much for joining me excited to see where this goes and to see who the top ten developers are that end up at reinvent this year and again awesome job on the launch. This is amazing everybody. This has been a great episode of aws launch. Keep on building..

subic
"aws" Discussed on AWS Podcast

AWS Podcast

04:10 min | 3 months ago

"aws" Discussed on AWS Podcast

"Private you don't have to. Nobody needs to know what your event within your organization results were it just all points without any any information about what bugs and what. Ceo found go onto the leaderboard border. Now you're competing with developers from around the world so was like a public event. Let's say if my ribose open source and the communities actively contributing not yet know that something that we again is something that we've had questions on we really want to do but we're in the future with. We're going to make that happen. Got so later on. So we're on the road okay. so what. Programming languages are supported by bug less. Because obviously i wanna use this so java and python are currently supported by but okay and assuming that there is somewhere on the road map for other programming language support yet. They're more programming languages. Coming in the future state. How do i add my programming. Language to the list of or to prioritize. Is there a place that i can go where i can request that. My program language be added next. Us you can send in requests through other customer support or through our agenda propia for process and we look at those actively in prioritizing which language would be the next okay so on get up. Basically through.

"aws" Discussed on AWS Podcast

AWS Podcast

05:28 min | 3 months ago

"aws" Discussed on AWS Podcast

"A couple of steps can sococo create an event within your organization so you need an administrator somebody to be in charge of the event you can set the parameters of the event you can create your leaderboards. What rewards you want to give. We provide a portal few to get swag so as quick as that. You can create an event within within the eight of console. Then you just simply connect them toco guru scanio code find the bugs and then released the books to your team and then they go by batch and then as point sasco they'll applying the leaderboard and the winner at the end will have all of those points automatically added to the global leaderboard which is where we're going Award the top ten whether trip to reinvent this is amazing. This sounds so cool. Okay so basically. This is a competition of who can bash the most bugs and within their organization and then also globally across all developers. Yeah exactly and we're on a mission to bust a million bucks through this challenge because we know it's challenging right. Bugs are inevitable in software. You can't you can't avoid them and so what we're trying to do here is just make it fun. Make it easy for developers to to get started and actually be motivated do the but bashes as tedious process for even if you've got really the best developers in the world it's manual. It's hard to find. They're hard to find so using the machine learning plus the automated Event in within the console is kind of the best of both roles. So let's start about how this actually works. What is code guru finding for me. Especially if i'm not familiar with code grew. Maybe we can elaborate on little bit what that is What is refining for me. So when i get assigned a bug in the bug bust What am i seeing in code guru. That's able to help me find this bug better or faster are gonna let vishnu. Take this one. Thanks alex so when you when you create about bus stephen the admin associates repository right once. Who associate a quarter positively code gruden analyze court in that repository and automatic air interface box. There are few categories of bugs that we identify here like aws best practices conquer issues security issues and we rate bugs based on severity. Like whether it's a low severity of medium severity and a high severity and accordingly we provide points to participants who fix those box the higher the severity the more points they get and behind the scenes code review users machine learning and automated reasoning to analyze code and do program analysis to identify these one another abilities in court if if i wanted to input a big. Let's say that code guru didn't find that i wanted to add to a bug bash. Would that be something that i could do. That's.

scanio gruden alex stephen
"aws" Discussed on AWS Podcast

AWS Podcast

02:30 min | 3 months ago

"aws" Discussed on AWS Podcast

"This is episode. Four hundred and fifty seven of the aws podcast released on july fourth. Twenty twenty one. Podcast confirmed. Welcome to the official. Aws podcast hello and welcome back to another episode of aws launch. My name is nicky as usual and today i'm joined by two amazing people from our ai. Services part of town. That's alex bush. She is our head of our. Ai services for marketing and bishnu ramey..

"aws" Discussed on AWS Podcast

AWS Podcast

04:57 min | 4 months ago

"aws" Discussed on AWS Podcast

"Semi structured data inbred shift. I think it's it's something that's gonna make a big difference to a lot of folks and maybe let's talk about your own personal weekly says i mentioned you've you've been working with the rich For for ten years. So you've seen it come a long way and an is with any technologist who works very closely with technologies. Kind of like a love. Hate relationship that i think comes along which is sitting areas that you just you just adore and then because you love it so much things you really really want to change what areas few that really leap at us things you love to see happen in the future. Yeah so so i do. I would say that like in with the advent of the already. Three instance family. That was a huge leap forward for redshift. I think and i'll get to why my dream would be so finally saying okay like there's no we've got to get away from instance base storage like we have customers. That are having a lot of trouble. I kinda balancing their their compute and storage needs like just about. Everybody ended up a state that they're either overprovision storage overprovisioned on cpu or somewhere in between because they have the balance one or the other. So so really awesome. Because now we've gotten to a point that the store the only you know if you using that instance class storage is now completely dynamic. You really just have to worry. About how you provision your instances and and statically provisioning your instances to some regard and i know there's currency scaling and some of these things that we can. We can ads. you make redshift more like the storage layer. So i guess my dream would be that we get to a world where we kind of stop thinking about the incidences right. You know one of my favorite services as dynamo. 'cause you just you just use it and for what you right so i think like my dream would be that redshift very similar model so but you know really impressed with the are instances that the performance the the kind of decoupling of storage. Now i think we can just take that kind of lake Dare i say service concept a little further and really amazing clearly moving in that direction. Now elliott you've been an item data here forever ye now and so. I'm really interested as to why you think it's important to be part of a community like that and what you've learned from some of your ps and fellow heroes. Yes i you know i. It's it's a great program. And i'm really really honored to be a part of it so i think It it's been really interesting to be able to interact with folks from different industries different parts of the world and kind of hear the challenges that they're they're trying to solve and the interesting ways that they're using technology really fantastic program. We also have a great forum to ask technical questions volunteer solutions or nod so to me. I think i think it's it's just been Really fantastic to kind of see. Some of the project see see the way that people are mixing together technologies and and kind of thinking to myself. Hey we do something like that and and kind of explore and and that deeper into technology as well as aws services so for me just having a having a community that you know can kind of interact with share ideas with has been really great because you know in a professional setting. It's really difficult to kind of understand what's going on with your peers across industries. So i think it's been really really really powerful to do that in an informal way so setting the best benefit so we have many people who listen to podcast all around the world Different levels and stages vickery said. Try if someone's listening at the moment going are really lock. Elliott's been talking about. And i'd love to be hit of daughter at a company. One day piece of advice besides leaning sequel would you give them besides learning sequel I think i think it all it all starts out with being a technician being being an engineer. I i think you know whether you Index higher architecture or kind of like more on running running running teams growing up teams. Growing alad You know having kind of that experience of building things from the ground up is the number one thing. So what i'd say is get your hands dirty. You know out there and and you know. Try to build some solutions. Make those mistakes. We all learn from our mistakes and and just keep working at become a master at your craft. You know so Yeah i think. I think just going out there doing go and do it. Just do it eliot. Thanks so much for joining us today. On the podcast awesome. Thank you so much. And thanks for listening. We'd love to get your feedback. Adebayo podcast at amazon com is the place to do it and until next time keep on building..

Elliott ten years today amazon com dynamo Adebayo One day aws Three instance one
Fastly Glitch Disrupts Swathes of Global Internet

Bloomberg Surveillance

01:28 min | 4 months ago

Fastly Glitch Disrupts Swathes of Global Internet

"Right now, Ivan, find south with us. The Tigers financial partners here on what we observe today from Fastly and an Internet outage. I mean, you are expert at the review of the companies like Cisco. To make the stuff that we take for granted. Does. AWS does Google, Microsoft and for that matter, does Fastly take for granted the solidity of their systems? Well, I don't believe these manufacturers take for for granted. I believe and users the consumers. They always believed that the Internet is going to work. It's going to work well, it's going to be fast, however. We are in an environment where there is all kinds of cyber attacks just to be disruptive and cyber attacks. To hold companies for ransom to disrupt businesses to create an anti competitive environment. So there's a lot of vulnerability. There's a lot of security, but this again highlights the importance. Of redundancy in the networks, Yes, security in the networks and more and more in the beginning speed of the network and the network worked through the sophistication of the hardware. More and more. A lot of these networks are software defined networks, which are relying on the sophistication of the software. And relying on the software to provide increased security. And

Ivan Tigers Cisco Microsoft Google
Applied AI Research at AWS With Alex Smola

The TWIML AI Podcast

01:49 min | 5 months ago

Applied AI Research at AWS With Alex Smola

"Alex. Welcome to the tamale podcasts. Hey thanks very much for having me here. I'm really delighted to get the opportunity to talk to your listeners. And i hope everybody gets something us floated. I'm really looking forward to this conversation. I mentioned to you when we were chatting earlier. That i corner you at a reinvent like just after you joined. Aws and in perfect and typical aws fashion. You had nothing to do with a pr. Journalists type person and so this is kind of a Achievement unlocked moment for me. It's been a long time coming. I've been looking forward to the opportunity to chat with you. So i am also excited. We're going to cover a bunch of cool stuff. You're working on from a research and aws perspective and we'll touch on the event that you're heading up or participating in the m l. summit towards the end but to get us started i would love to. Have you just share a little bit about your background. How you came to work in machine learning of as i'm actually a physicist by training and this is saying that physicists aren't good at anything but you can use them flavor thing and i think that's probably how ended up with machine learning the flex along the story. Is that when it came to doing my master's thesis. I look around. Didn't find anything terribly citing at my university. And then i look making going do my master's somewhere else in the swath. They can t actually a young convos. The department at the time in the move up nate was mcmaster advisor and this was even at the time of really great opportunity of mind. You this laws in nineteen ninety five

Alex Mcmaster Nate
Amazon Executive, Andy Jassy, Will Take Over the CEO Role

Cyber Security Headlines

00:28 sec | 5 months ago

Amazon Executive, Andy Jassy, Will Take Over the CEO Role

"Andy jesse to take over as amazon. Ceo on july fifth. The ceo of amazon web services had already been named as his successor to amazon ceo. Jeff bezos and now. We know the date that he steps into the new role. Bezos will remain executive chair of amazon's board and remains a massive shareholder. The date marks twenty-seventh years. Since amazon was incorporated jesse joined amazon and the late nineties and began leading the team that would become. Aws in two thousand and

Amazon Andy Jesse Jeff Bezos Bezos Jesse
Three Years of Grind to Six Figures

Startups For the Rest of Us

02:17 min | 5 months ago

Three Years of Grind to Six Figures

"Tony chan welcome to start for the rest of us. Thanks for having me. It's kind of full circle. We've been listening to you all for the last two and a half years three years. We've submitted questions just to get our name out there. As well and i should remember back in two thousand eighteen francois submit of few questions so very honored. That can be part of this show and be a guest here. Yeah man. it's it's great to have you on what you and francoise with cloud. Forecast is is really impressive. In your story. I was telling off. Line your story on. Its own is really interesting in that. Tends to be unusual. Oftentimes have to bounce into pieces of the story joined in the middle because there's just a lot of grinding. That isn't that interesting. There aren't enough highs or lows and your story has a lot of those built into it. Yeah and when you're in the middle of it it's becomes normal life to you and francoise and i were joking saying that morgan. His wife was talking about. Oh yeah things are going great going. They're closing customers and friends. I was like yeah. That's all true but all that was really really hard. So i think you don't really get a good context and you share it with other people and you know hopefully can help other people as well. I think that's what we really enjoy doing absolutely so folks want to check out your app. It's cloud forecast dot. Io your h. One is surprised by your monthly. Aws cost club. Forecast helps companies monitor and eliminate wasted aws costs without spending significant engineering time and resources. Veasley a sas app with your hacker. Plan a growth plan enterprise plan. You want to give folks idea where you are in terms of revenue customer base. Whatever you and francoise are full time and have been fulltime on it and you're profitable company but what what can you give folks in terms of size. Yeah absolutely i think. We're about two and a half years in working fulltime. We started as a side project. We past six figures last year. And after i think working about on this about your and a half little bit maybe a little bit over that we started paying ourselves so that was a huge milestone for us when we started seeing cashable interbank but odyssey we couldn't have done with our wives supporting us so they've been a big cheerleader financially and also emotionally as well. So that's where we're at at the moment and customers. Yeah we work with a lot of startups. Mid market sized companies anywhere from companies that are ten fifteen employees to two thousand employees.

Tony Chan Francois Aws Cost Club Francoise Morgan
Temporal Product: Managing State With Ryland Goldstein

Software Engineering Daily

01:25 min | 5 months ago

Temporal Product: Managing State With Ryland Goldstein

"Done a show about temporal before and workflow engines in general. But i think it's a pretty deep subject and i like to start off by just exploring. The distributed systems related problems that a typical infrastructure team might encounter. That are still not solved by all these nice tools that we have today like. Aws and cooper netease and so on what are the outstanding problems. Yeah it's a great question from my point of view. It's actually sort of the same problems that people have been. Having even before distributed systems were like in vogue and they were the way to build applications. I think you know the same problems around. You know transaction optimistic basically guaranteeing that things like transferring. Money works out. Well those were problems that existed far before you know. Most systems were distributed world. These web scale companies. I think what ended up happening. Is that those problems they lingered you know. Those are still challenges that companies that are really important like banks and other financial institutions. even just like ecommerce. They still have to solve those problems. But now it's under the context of having to do it in a distributed environment and so it's essentially having to solve the same problems that were already challenging but now the pieces that you're actually building your application on top of in the things you're sort of relying on our shifting under you because their these distributed systems with all these edge cases

Cooper Netease
Temporal Product: Managing State with Ryland Goldstein

Software Engineering Daily

01:25 min | 5 months ago

Temporal Product: Managing State with Ryland Goldstein

"We've done a show about temporal before and workflow engines in general. But i think it's a pretty deep subject and i like to start off by just exploring. The distributed systems related problems that a typical infrastructure team might encounter. That are still not solved by all these nice tools that we have today like. Aws and cooper netease and so on what are the outstanding problems. Yeah it's a great question from my point of view. It's actually sort of the same problems that people have been. Having even before distributed systems were like in vogue and they were the way to build applications. I think you know the same problems around. You know transaction optimistic basically guaranteeing that things like transferring. Money works out. Well those were problems that existed far before you know. Most systems were distributed world. These web scale companies. I think what ended up happening. Is that those problems they lingered you know. Those are still challenges that companies that are really important like banks and other financial institutions. even just like ecommerce. They still have to solve those problems. But now it's under the context of having to do it in a distributed environment and so it's essentially having to solve the same problems that were already challenging but now the pieces that you're actually building your application on top of in the things you're sort of relying on our shifting under you because their these distributed systems with all these edge cases

Cooper Netease
Awesome FastAPI Extensions and Add Ons

Talk Python To Me

01:38 min | 6 months ago

Awesome FastAPI Extensions and Add Ons

"Michael welcome back to talk to me. Thank you yeah. It's really great to have you back. You've been on before and there's a bunch of stuff that we're gonna talk about that you've been up to and we've done so you're back on episode two hundred six when you talked about running django and production and you've had a couple of large sites the been running and most recent wanted by test-driven dot. Io where you do some article some tutorials and some courses right. Yeah so life was obviously much different back in when i was on the podcast back and was at february of two thousand nineteen. But so now. I'm still working on tests from that. I so that say training courses for mid to senior level developers that are looking to learn test-driven developments of micro services and aws of the structure and whatnot. It's mostly. I thought in javascript stuff. Is that right. Yeah yeah yeah maybe some of the time. Yeah a bit. I also get a lot until i continue. Orchestration whatnot liberated cooper. Nobody's lopate of aws's es as well awesome. And so what do you do. Now i am running tests from that. I on the side but my full-time main gig is for monitor. And we as the banner there says we're doing machine learning assurance really doing probably she. Learning governments is probably more like what we to redo the website. That's probably what we would establish machine. Learning governments would be there rather than sheri- but basically were helping to ensure that you're a is what it should be doing in production so that your models are basically inferences predictions that your models are serving up are like within certain bounds centrally

Michael Cooper
Questions for Tesla / Elon Musk on Earnings Call

Tesla Daily: Tesla News & Analysis

01:51 min | 6 months ago

Questions for Tesla / Elon Musk on Earnings Call

"Everybody around our here and they were going to be talking about a few subjects. We have technology has opened up their questions mission process for tesla's q. One earning skull so as do most quarters. We're going to go through some of the questions that have asked the questions that i've asked And see what we think are good questions. We then also have some news from a tussle supplier some more information on the tesla accident in texas. Press increase on tesla's stock and then a protester at shanghai's will go through the details on that as well. It's a quick look at the stock here So tesla today finishing up zero point six percent a little bit down after hours from the seven nineteen seven hundred ninety nine closing price. Netflix's did report their earnings after hours. Today they did miss. I think their stock was down about ten percent. Last time i looked at it so we did The mackerels probably impacting us a little bit after hours here as well that could carry into tomorrow. So there's something to keep an eye on but otherwise a relatively quiet day in the markets. Obviously a lot of attention around apple's today. I think that absorbed a lot of the the focus today all right so i want to talk about. Is these questions so as we do. Most quarters just want to go through some questions that have been asked My questions the reasoning behind some of the things. Some of the things. I'm thinking about as a asking these questions And then we'll move onto the next subject. So i guess we can start off here with kind of the questions that i've got in here and then we'll go through a couple of top questions as well so the first question i asked here is how joe coming along. Could though joe unlock in. Aws like business. Line four tesla. Over the next few years so the reason that i chose to you ask. This question is because as i say. Most quarters i think the most valuable thing that we can be asking about our batteries most valuable things we can be asking about our batteries and autonomy but we asked a lot about batteries on the last earnings call.

Tesla Shanghai Netflix Texas Joe Unlock Apple JOE
Interview With Tim Jefferson Of Barracuda Networks

7 Layers

02:25 min | 7 months ago

Interview With Tim Jefferson Of Barracuda Networks

"Alright listeners. i'm here with barracuda networks. Is tim jefferson to talk about cloud. Security hello tim. How're you great connor. Thanks so Just to get right into it. What would you say. Your history is with cut security while my introduction to cloud security was back in Two thousand fifteen. I the opportunity of joining amazon web services in its early days back when it was only a four billion dollar business in was part of the original team that was tasked with working with the security ecosystem and helping them that are understand how their value propositions could apply to public cloud customers in particular airbase environments so there is a big pivot that a lot of the scared ecosystem partners had to do to. You know how their current solutions that were typically built for data centers needed to evolve and kind of re architect and rethink around what value they can bring the public cloud and ultimately how they had architect solution to be Well architect for those types of environments so that tend to be a big pivot for a lot of customers so it was great to see the industry evolve you know from the very mature data center. Well established commercial solutions in how they pivoted to the startups. That took specific Look almost from scratch around what they can do uniquely. And that's where some of the very first cloud security posture management tools kind of popped up way back in two thousand fifteen. So yeah it's been great to see the industry of wall during that period. Yeah so it seems that you were well educated on how to secure the cloud and you're also doing some educating to the companies that we're using. Aws yes it was journeys eighty s platform evolved. And you know those. Those platform solutions became more mature. A lot of them kept adding incremental security capabilities which again created more friction and opportunity at the same time for a lot of the ice vs s are called independent software vendors to kind of rethink what value they can bring to customers ultimately how they can leverage some of those native services and the telemetry that comes with them to bring you unique security value

Tim Jefferson Barracuda Networks Connor TIM Amazon
Microsoft Signs Deal To Outfit US Army With AR Headsets

Techmeme Ride Home

02:11 min | 7 months ago

Microsoft Signs Deal To Outfit US Army With AR Headsets

"Essentially this. This broke yesterday. And what i called. It was the biggest news in the history of the ar industry which is not saying much since the air industry is relatively young but this is like a big bang moment because in one deal in industry can be validated and so the headlines would be microsoft Signed a contract with the pentagon to create one hundred and twenty thousand custom hollow lens. A our headsets for the us army and that deal could be worth as much as twenty one point eight billion dollars over ten years. The point that i made on the show was think of all of those moon. Shots that google has been investing in and this is not me being snarky in one fell swoop. Microsoft has essentially completely earned. Its money back from a moonshot that no one was paying attention to were. But this is a hardware moonshot. This is essentially if people have been thinking about a. r. n. vr as the next big thing to the tune of twenty billion dollars. Microsoft is like this is by the way a thing now so I this follows. Of course the the deals that microsoft has done with the pentagon in terms of their cloud computing stuff. But i'm saying and compared to the moon shots of google and comparing it to what amazon has done with aws and all the sudden amazon out of left field. Or i'm sorry. Microsoft out of left field has this whole pentagon arm of its business that depending on how you term it in terms of years something is worth thirty billion dollars so dialing back from the pentagon angle of it. It's just the idea that out of nowhere. The ar vr space in my opinion has suddenly been validated.

Microsoft Pentagon Us Army Google Amazon
"aws" Discussed on AWS Podcast

AWS Podcast

01:58 min | 1 year ago

"aws" Discussed on AWS Podcast

"These metrics include K sheet right Origin latency era right amongst others. So this gives you far more information you bet. Have interactions going. The other thing that's changed and this is really important if you use Amazon. Cloud front access logs is it. There are seven new data fields in these excess slogs. So these Give additional visibility into the delivery of your content so the included new ones are the seaport which is the number of the requests from the view. Talk to I bought which is self evident the X. Edge detailed result types of the result. If it's an era what actually happened. SE content type EZE content length. `Save ranch style and ranch in as will now this all comes automatically. It's free of charge oversee you get The Serie cost for the storage of that. But this important these fields get added to the end of the log entries so we maintain backwards compatibility with the previous fall foment. But if you're doing anything funky with the way of processing facing these logs you probably want to know that there are these new Newfield Z.. Aws Global Accelerator now supports Amazon cloud. Watch metrics so starting today you can now monitor the trophic processed by aws global accelerator Via Cloud Watch you can view the total number of incoming and outgoing bites processed by your accelerator. And also you can view the total number of new TCP or UDP flows from clients to your application. End Points every minute. This allows you to for example view the geographical distribution of your user traffic and monitor. I wonder how much of it is local or global. That's super cool and super and he for much everyone was on route. Fifty three resolve endpoints for hybrid. Cloud is now available in these Stockholm region. So now us route. Fifty three resolve points for hybrid cloud configurations in the Stockholm region. Some updates on the topic of quick starts or is it quick. Start up for ship point server on a cloud so this quickstart automatically deploy ship once every twenty nine.

Aws Global Accelerator Amazon Stockholm
"aws" Discussed on AWS Podcast

AWS Podcast

02:13 min | 1 year ago

"aws" Discussed on AWS Podcast

"If you WANNA remind inside the clad you can also use the curate a Amazon elastic container. Registry instance as your source of Dhaka images as well so negative that sort the ubiquitous way to get that Access to that particular labrum in Niki from develop a stamp with super important definitely. It's really cool. It's an awesome announcement moving on in. Obviously what is my favorite topic. It or your point now supports Atlassian get cloud in Beta so you can now easily connect accurate lesean. Bit Bucket Cloud source. Vote to your. Aws I blind allowing for the automation of Build Test and deploy phases in your release process. Every time there's a coach Socotra pipeline is fully managed continuous delivery service. That helps you automate pipelines. You previously hook up get hub other other repo a positive and now you can do Atlassian bucket. In Beta it'd be cloud nine is now available in six more regions as you can now take advantage of cloud nine in in Sydney Mumbai. Stockholm soul one and the Canada Central Regions Cloud Nine is just a cloud base. Id that lets you write Rondi Andy Bug code a inside. Your browser really helped for integrating with service applications as well also helps you mine mine lots of independent pendant development environments if. You're a kind of a polyglot developer and like me you keep breaking laptop because you keep installing clutching libraries this kind of separate view view of the world based upon what you developing hopefully Claude is a great resource. Lastly in my favorite topic it'd be US Cohn. Bill now supports cross account resource. Sharing A so-called bill now allows you to securely share your code build resources such as projects and report groups across. Aws Accounts we've been your aws org previously. You couldn't share your beat your bill details or test reports generated in one account with other. Aws accounts but you can now use. Aws US resort resource access manager securely. Share your Kodo projects or report groups across accounts or your aws org fifty moving onto the topic of indies a competing Amazon upstream..

aws Atlassian Amazon lesean Bill Dhaka Niki Socotra US Cohn Sydney Mumbai Stockholm developer Claude
"aws" Discussed on AWS Podcast

AWS Podcast

02:13 min | 1 year ago

"aws" Discussed on AWS Podcast

"If you WANNA remind inside the clad you can also use the curate a Amazon elastic container. Registry instance as your source of Dhaka images as well so negative that sort the ubiquitous way to get that Access to that particular labrum in Niki from develop a stamp with super important definitely. It's really cool. It's an awesome announcement moving on in. Obviously what is my favorite topic. It or your point now supports Atlassian get cloud in Beta so you can now easily connect accurate lesean. Bit Bucket Cloud source. Vote to your. Aws I blind allowing for the automation of Build Test and deploy phases in your release process. Every time there's a coach Socotra pipeline is fully managed continuous delivery service. That helps you automate pipelines. You previously hook up get hub other other repo a positive and now you can do Atlassian bucket. In Beta it'd be cloud nine is now available in six more regions as you can now take advantage of cloud nine in in Sydney Mumbai. Stockholm soul one and the Canada Central Regions Cloud Nine is just a cloud base. Id that lets you write Rondi Andy Bug code a inside. Your browser really helped for integrating with service applications as well also helps you mine mine lots of independent pendant development environments if. You're a kind of a polyglot developer and like me you keep breaking laptop because you keep installing clutching libraries this kind of separate view view of the world based upon what you developing hopefully Claude is a great resource. Lastly in my favorite topic it'd be US Cohn. Bill now supports cross account resource. Sharing A so-called bill now allows you to securely share your code build resources such as projects and report groups across. Aws Accounts we've been your aws org previously. You couldn't share your beat your bill details or test reports generated in one account with other. Aws accounts but you can now use. Aws US resort resource access manager securely. Share your Kodo projects or report groups across accounts or your aws org fifty moving onto the topic of indies a competing Amazon upstream..

aws Atlassian Amazon lesean Bill Dhaka Niki Socotra US Cohn Sydney Mumbai Stockholm developer Claude
"aws" Discussed on AWS Podcast

AWS Podcast

11:41 min | 2 years ago

"aws" Discussed on AWS Podcast

"Welcome back to the podcast Lewis you with a greater heavy back, and we are recording another semi live episode because we're recording. It lobby not hearing live here. The city summit. Hello audience. And I'm joined by very special guests mister, Glenn gore is all the way from his new home in Seattle base on them again. Hey going, I have it. So I was going to be back home in Sydney. It is good to have you here. Now we love to have you on the podcast because if there's someone that we can re about technology with its you. Sounds dangerous. It's always fun. In fact, we're talking in a in the previous episode of bats in twitch stream that I bet the fact that we did an episode where we respected an application, using words sensitive and ties our sentiments exactly which just fun. So what would you today is have a bit of a chat about architecture in particular, what we're seeing working for customers was not working in some other topics? So you travel the world in your role meeting with a bunch of customers, and a lot of different scales. And if you think about sort of what's, what's working, what's not working and all stock because I'll give you a breather because you ran over here is I see a lot of what are called premature optimization. And, and this is thank you for the loft of that. And this is around things like saying, well, I'm going to build this as if I've got a million users, but only got ten oh, I'm going to build in the most distributed. Robust thing I can think of but are done actually Nadya now this is a trial, of course between not doing it soon. Enough and ending up with a whole lot of ticked it. What are you seeing in terms of that balance? And what's working? And what's not premature optimization. All what we used to just over engineering. Yeah. Yeah. Gold screwdriver owed screwed. That's way. Right. You'd be charged. That's true. That's true. Increase number Microsoft's. Yeah we went mentioned in the company there. But, you know, it's over optimization over engineering. He's actually a big issue, especially for startups. When you when you think that you have a very fine iit set of resources when you start. I mean by that it's kind of time cost and, and people, and if you waste that time optimizing for a load, that's never going to come your sacrifice sacrificing your ability to experiment and try different feature sets that he's actually more important than I'd say it's more important at the stop for a startup to experiment, and get the feature set, right. For that kind of minimal viable product on what's resonating for they uses even if it's really rough. Yeah, but then use monitoring and telemetry to try and work out as they do start seeing K. We've got the feature set right. That's now, attracting users, where's the low hanging fruit? And then you start. Optimizing really quickly and often the to the two mistakes, actually go hand in hand, one is, as you said, you know that premature optimization, but the second one is no monitoring. Yeah. And we'll light up now a busy, and we're trying to keep the Titanic afloat, we have no idea where the issue is then even worse than over. Optimizing as we start optimizing guessing, and thinking, okay. I think it's this component. And you spend time you know, sometimes lucky if it's hours sometimes can be days. You release it no difference. While I think it's this, and you just kind of just guessing guessing, it's, it's interesting to talk about the monitoring side of things because one of the things also say with monitoring these, these. Appeal of the average. And as I'll let decided people everage is very everage in terms of the homeless, and, you know, from all the work with the service teams that you do that we focus obsessively on the nineteen th percents hall, or I saw. I saw a way that was talking about the ninety nine point not possessed by so they didn't see any anything going wrong at ninety nine percent tall. So as far as fine. But when I looked at Nahnjohn point nine something was going on there. I think it's we, we need to remind people, that's what you should be looking because it fades into everything else. Yeah. And just to. If you have background in statistics, maybe ninety nine percent whole means something, but I actually find a lot of people that aren't really understand it. So to give you a concrete example of what Simon's referring to is. If you look at, for example, just keep it really simple, digital website. What's the average piji slow time? Yes. I it's two hundred milliseconds, for example, when we look at the ninety nine th percentile though, we want that to be as close to the average as we possibly can. But if it's jumping out and saying, actually not even ninety nine point nine is like a two point six second load. That's way you wanna start looking digging into what happened on that single transaction and this guy gets really, really hard when you start against going up. The load can you can have millions of transactions going through a system every minute, or even every second in the case of, you know, began serving companies, for example, some of the gaming companies are measuring every single event in a game. So how do you find that single transaction? And then how do you work out? What was that single transit? Section touching. What could be dozens upon dozens of micro services overthrowing Dada stores behind them? What was it that caused it to blow out? And what I find is when you when you identify that and you actually say, okay, it's this one, micro service, you often a finding things like rice conditions or a piece of Brito architecture. And when you fix that the whole platforms, religiously resilience and availability, actually increases dramatic. And that's why we have this obsession around the operational excellence within AWS around these ninety nine percent on ninety nine point nine it is an obsession. And it's funny because remember when our joined Amazon sort of discovering these, for the first time through some of the, the self development engineers that we have. And I explained to me and I was trying to understand. Why are you obsessing about these the one percent? That's nasty in bed. But the other good, and he was saying that what happens is optimizing. The non thousand nine th percentile, everything else, actually gets fast too often as a side effect. And so you just see I've been reading some, some updates recently. With some services have reduced light, and see by, like, eighty five percent. It's not uncommon isn't it happens? And you're right. It's just this continual optimization. Sometimes they own say, the easy optimizations, but they big bang ones. Like, well, we go. Okay, we can re factor the application, we can see that, you know, there's an architectural design element. That is not working quite right. And they can get you a big saving but often is actually just the sum of little tweaks here and there that, you know, one percent here another half percent here. But as you start, adding them up pretty quickly, they can add up to pretty large amounts and against often on the edge cases. It's when things start to go wrong that things can spell out of control. If you having done a lotta operational review myself after incidents, I've never seen. Actually, I've never seen a CEO way where it was just one thing. Yeah. It's always a domino effect. It's like somebody did this. And because this other thing wasn't quite shooed. Right. It escalated metric, the third thing in the fall thing. And he's never gonna lie. Seven things in Iraq. Are that all ended up never happen? It could never happen. That's right. But didn't did well, it's interesting. You also talked about particular styles, but I think with any organization that need to be able to make change in the environment in the technology and often come across what's, not as the sunk, cost fallacy, which we've invested so much in these platform where this approach this feature that we can't give up now we've given so much whereas really the rational thing to do since I know this is the wrong direction. We need to cut cut pay. Have you seen any good hacks or approaches culturally to decide we're willing to give these up and do better? I mean again, when you think about it, there's a the innovators dilemma, they talk about the embedded Playa dilemma, which is again. This is what might successful. Why change it actually in the Canaanite this morning at the Awa Sydney summit, we talked about creating tomorrow, and I talked about one of the insights of I've seen across teams is when you get a team together, and you really talking about change people. Seem to naturally gravitate and spend more time on what we're going to lose. You know, we know this structure, it's been well, tested, Ilia it stable, now, there's a danger words that he never able, we haven't touched touch. It really should go to pocket with a steak and see what happens verse. What is it that you're going to gain? I've actually a big, big believer that when it systems a constantly being looked at reviewed modified and changed it forces you to have really good behaviors around. It's good muscle memory as a developer around. We know, for example, that when we saw DevOps I coming in, for example. So you might remember when you doing a released once every six months to that critical system. How practiced are you really at it? Yeah. It's a very manual process normally done at one I am in the morning on a Sunday. No one else's around and things go wrong. And you haven't practiced verse if you start saying, I'm gonna make a change, every actually ho teams are going to be making changes moretons row. You put systems in place. You put mechanisms in place, you practice it, and it just becomes second nature. It's, it's interesting because I think there's a big mental bury their cultural baron some places, Iran doing that because to exercise that muscle and to do things like calcium nearing and testing and production and all that good stuff. And pulling things out when the game is, is another good technique, you have to be really willing to do that and teams that are sort of high performing and super successful other ones that are willing to do that. Uncomfortable hot stuff. But most sort of open to that or once I opened up, but not supported maybe by senior leadership to do that or dunk quite understand that whole the benefits you can get from doing you. Gotta look at where that reluctance comes from, and sometimes it's. Case of both sides. So, yeah, let's, let's talk really simplistically. You've got the engineering, the developers, the tech people and then you've got management. Management. You know, often the two sides blame each other right, management's kinda saying, don't have a skilled enough take force because things are breaking and they don't want to touch things. And, you know, the, the agility is too slow and then the engineering departments blaming management saying, you don't trust us, you know, funding us, we want to make these changes, but you making us jump through hoops and that can be really hard to change because you now have to teams who aren't really talking to each other. And if you want to get the benefits that you were talking about you have to find a way to shorts like, and there's actually quite often away that I'm engaging with customers is actually getting reconnecting on. It's almost like a marriage counselor and kind of saying, hey, what they really mean when they say this is is that. And there's actually kinda believes over little bit into technical debt. Sometimes in that what we as engineers and technical people think of technical debt is often very different to what the management teams thinking is technical as well. And often the two never actually sit down and just say, hey, we should just kind of a lie. And it sounds really obvious when you say it. But if you think about when was the last time you sat down with the business and actually said, hey, his what my priorities are in terms of what I would like to pay off, if I could just say, you have a blank check, what would yours be and often is going to be a pretty big difference is what the different. It's, it's funny, I reflect on the first project ever were democracy Beck in the day. And I remember I've been on that project for maybe six months, and we dropped to release with a whole lot of features and functions. And then I remember going to my, my management saying these this is a dumpster, far an architecture of going on. We need to do an architecture released. We need to spend the next three months, just fixing the architecture by nothing but seems to me, and I'll go to Hoddinott. We're not doing that bit. How can you not do it doesn't add any value from a business standpoint, just because the underlying makes you feel better. And I couldn't understand it at that, at that stage..

developer Glenn gore Seattle Sydney Microsoft Beck Nadya Awa Sydney K. Brito Hoddinott Simon Amazon CEO Iraq Iran ninety nine percent one percent six months eighty five percent
"aws" Discussed on AWS Podcast

AWS Podcast

07:58 min | 2 years ago

"aws" Discussed on AWS Podcast

"Another bragging rights as well. So you can actually test. How would you models compared to other models on kind of a level playing field with everyone using the same Conaco? I think with that to kind of pick it back off of that when they do enter into the council, which again, there's no hardware dependency on AWS deep racer itself with reinforcement with reinforcement learning. Once you're in the council, what are your leveraging? What we've built what our AI scientists have tested in recommended for you. We've pre configured pretty much everything for developers with default optimal configurations really really cool. And if you don't know what you're doing within the council, there's info buttons for everyone to really understand the terminology the functionality of each and every option that they they will be presented with within the council. I went in there this morning, and I literally clicked one orange button that said create model, and then I filled out my model name, and I was able to start training the model so two clicks one field description, and you can get started. And if you know that's a way to get an easy win to build out, your first reinforcement learning model and along the way after you do it and see how easy it is. You can start making customization or different tweaks to the hyper parameters for the algorithm that were using which is the proximal policy optimization or PPO algorithm within the council, so can really see what we've done behind the scenes how we've tied it back to different services such as our Amazon sage maker in an AWS Roble maker. You can see the live simulation. You can see the the live streaming through Amazon conducive streams, and it's really a very cool interactive experience to train and evaluate your model. Now, let's look at somebody else taught them, and it's it's it's easy for us to to get on the on the date, Bryce or at self and rising causes pitcher. But as you mentioned, the stuff is this really came out of a desire to teach customers and help develop as Lynn more bet had used. Reinforcement learning in the die today. World what kind of results have you seen once customers have gone through the the the use of these these types of tools and examples in have of applauded to their own particularly east kinds of share so eight of this deep racer, again, a learning service specifically to follow up on what our mission is which is to put reinforcement learning in the hands of all developers literally, and we do that through the the deep racer vehicle itself. Now, what we've seen is after the initial learning service in starting the customer starting to understand what the process looks like what they're actually doing. How an agent interacts in takes different actions, given it state within an environment. And once they have really all that terminology down, then they can start looking at our platform. Amazon sage maker in looking into the different reinforcement learning. Cases that they can then build themselves, and we've already seen a handful of use cases that are out. There were customers have gotten started of robotics is a good use case. There's also in industrial control, there's different age back systems of about cooling and autonomous driving. In those those that use case that we've depicted as just one of many, many different use cases. I think another one that is is pretty cool is around vehicle routing where objective might be to fulfil an actual customers. Order that they've placed on a mobile app, and what the agent needs to do is really understand it state where am I right now on GPS in what is the distance from where the order where the request came from. So with that state inside of this environment, which could be outside or or driving within a different type. Neighborhood. It needs to take an action that action would be either except pick up or delivering order and the way the training works in after all the different episodes in optimization of the model. It self understanding the rewards that it would be able to be very efficient vehicle routing model that was created through reinforcement learning where the the reward would be delivering on time or it would be you failed to drive the right way or deliberate when it was needed before the actual products needed to reach his destination. So different some really practical use cases out there, and it's one of those technologies at once you understand it, you can see many places where red mud feet. So if you wanna get started you can sign up for the preview, it's at abused on Amazon dot com slash depress. You can also prio Oedipus deep rice ta. Although as Todd mention jut need that however it east pretty cool. So it's probably a case of one this is need. But I think Todd we could probably argue that that we need is rather we wanted to know what you think. Sure. Absolutely. I would I would agree with that. And it must be really gratifying to say these sort of come at to to to a global audience given that you sort of helped identify that need for these landing opportunity for customers. Trod something at it. Reinvent 2017 customers really locked it. And here it is in in in twenty eight twenty nine hundred I should say able to be in the hands of customers. It's it's it's always exciting to that customer need fulfilled much. So, and I think just from the feedback that we received from customers at reinvent twenty eighteen was overwhelming they some header data. Scientists at very large enterprises have even spoken to me specifically around their thoughts of reinforcement learning in the future. At AWS. We believe that many many more workloads will be unleashed with reinforcement learning and we've had a number of different enable men sessions at reinvent twenty eighteen for the private preview. And specifically we enabled over two thousand two hundred people and while we were there. There was also the MGM speedway event where they were able to get hands on and the hack of Thon, and we there were there were really over three thousand four hundred people that came into MGM to participate with over five hundred of them making an entry on the actual leaderboard the live leaderboard. So it was again bit high expectations were said for what we wanted to achieve at reinvent. We absolutely did that and I would say prior to us even going G a with AWS Debray, sir in the council for everybody. While you wait for the the public preview as well. You. Can actually get started right now by looking at the AWS racer developer guide, which really guide you through. How to use our sage maker tubular notebook to build train and value way. A reinforcement learning autonomous driving model? So go do that today. Also, please join us on this journey. We believe that everyone should not be forced into the weeds of the underlying equations and algorithms and therefore have found a way to empower you. This is truly truly democratization of reinforcement learning. And thank you for your time continue to give us feedback. Tessick told thanks so much for joining us on the put custody. Thank you. And thanks for listening would love to get your feedback. Anyways was podcast at Amazon dot com is the place to do that. Until next time. Keep on building.

Amazon Todd AI MGM AWS Bryce Lynn Tessick developer
"aws" Discussed on AWS Podcast

AWS Podcast

08:52 min | 2 years ago

"aws" Discussed on AWS Podcast

"Rally at. Reinvent twenty seventeen. So the goal to go. There was customers to be able to basically have a a kava has a whole bunch of senses on it and can go along a track and can self teach essentially itself had to be more efficient Matric with that. Is that a fair is that the goal he like what what are we trying to achieve? Yes. Absolutely. So you're trying to teach all the customers around about deep learning and leveraging it in a funding exciting way the goal of the rubble card self is to make it around the track. And while you are manually driving, the vehicle you start taking images of the track and some vitamin and that essentially creates your labeled training data set because every single image has an associated Jason file with a throttle in the steering angle at the time. So now, it starts to see the real world and associate. The behavior that it should be performing. And we call this imitation learning. So it really models. The behavior of the actual driver itself after around five to ten laps or so you will have original data set to pass that data as input into the neural network to essentially create a very efficient model. So when that model is deployed it has the ability to drive autonomously at that point. So now, it makes inferences based off of the image that it sees during its current state. That's where the all-time it's driving tape really takes place. Do you really learning about that loop between some form of training, then the input of vast amounts of Dada, and in general real-time real will daughter, and in the ability of the model to adapt and change to seek those correct at comes which in this case is stay on the track and propagate around the track as fast as possible. That's correct. That's correct. And they had a very very fun time doing this entire experience. And we encourage interational right because machine learning is a cyclical process that happens over and over again, you know, we refer to this as continuous learning where you can continue to label your data said make it richer optimize your model, and then the play the the new version of it out into the environment. So it has a higher level of accuracy. And that's that's where they really sometimes people without even knowing it. Learn this process and one they are exposed to this. And they remember what they've done in. They learn the machine learning process, and how it works a Consejo recall. I've done this before I understand how it works. So it's really making it very easy in adjustable for our customers absolutely now between. Twenty seventeen and twenty I team a look evolved and changed in the world of of I l so more models more frameworks more technologies probably more accessible than ever before. And that really led to launch of Adam his deep razor, can you? Tell us about what that was. And what that is that customers can use it. Sure. Absolutely. So eight of the us deep racer is are offering another one of our our learning services that really allows our customers to get hands on with reinforcement learning with a very low low barrier to entry. So let's step back towards reinforcement learning in general because this kind of discusses the challenge in where where we came into what are fall process was. So as as you're the to answer the question directly around kind of wide reinforcement learning when there's a requirement to teach a machine learning model to make complex decisions, and there's really little to no training data available. That's when you would look to making a reinforcement learning model or leveraging reinforcement learning to to create an optimized model now, I think in general what you'll see from AWS is that we are very focused. On salving. The toughest challenges at holds back success with machine learning, and it's been quoted within AWS numerous amount of times, that's our charter. That's one of our focuses in as you're well aware or the customers are well aware that Emo is undergoing a renaissance as we speak developers all across the industries. They're using the latest technologies. They're using the latest techniques all different use cases fraud recommendation for casting novelty detection, many many more. However, recently reinforcement learning has emerged as a key technology for building more sophisticated intelligence systems. It's a way of really complimenting more common methods to deliver key breakthroughs around the automatic decision-making process coordination, robotics Cybernetics security and now. Now reinforcement learning just for the listeners that may not be as familiar with it is sufficiently different than the more traditional amount techniques. As it requires a very diverse set of skills, and this is where the challenge comes into play. And this is where we kind of have our our roots of building out AWS racer. So what's what's interesting is that this diverse set of skills consist of creating real world simulations? And I remember the first time I've looked at reinforcement learning. I didn't really understand how to configure a physics engine, for example. Right. But those are some of this feels that you need to have on. So again from treating the real world simulations out there to using and testing out new algorithms from bottle selection methods to of physics engine that I spoke a little bit about or even three d rendering in general, all these skills are difficult and most developers. Don't really have these skills from an end to end perspective, and there's not really a specific job role that helps you acquire all of these organically, right or they're very few and far between so with that entire process. There's also a lot of heavy lifting nets involved and as excited as many developers to learn about reinforcement learning, there's really a broad chasm of experience for them to cross before they can even get started in many cases, the full collection of technologies either doesn't exist in an easily consumable digestible manner or the complexities are just acting has deterrent. They're not they're not fully abstracted. And this is where AWS deep racer comes into play. We made this announcement because it's a new learning service that leverages reinforcement learning, and it changes all of that it it's it's us lowering the bar to entry. For our L by providing a very easy to use set of tools, which helps developers bridge this gap. And we do it in a very compelling way. We do it through an autonomous driving use case. So again, it's evolving what we understood robo car to be in at reinvent twenty seventeen. And a really allows developers to literally take their newfound skills out for a test drive. It doesn't in a way that is very relevant. Given kind of knows about Qasem the the challenges of driving most people drive. So they know that that there's a lot of unconscious decision making starts to happen. Once you've driven for a long period of time. And so the benefit of the day pricers is that it's an accessible expression of that reinforcement learning that he saw important. So what are you get you get a car? These are available for preorder now. And you get a one is chain scowl rice car, which is pretty looks pretty cool. Pretty fun. You also get a simulator. So that you can Bill. Your Amazon side Jamaica models to try and test in it, right? Really quickly. Never nauseating about using Amazon side. Jamaica is you're using executive signed tooling et cetera that you might use for a business application or an application of writing a self. So you getting familiar with the tools, and how to use them in a way that makes sense and gets you to answer very quickly. The extra cool thing that the told them show you're going to enjoy is the the world's first global autonomous rising league. So you can actually rice for for prizes and glory in another

AWS Amazon Jamaica Jason us Dada fraud Adam Emo executive
"aws" Discussed on Software Engineering Daily

Software Engineering Daily

01:46 min | 3 years ago

"aws" Discussed on Software Engineering Daily

"Amazon web services changed. How software engineers work before AWS. It was common for startups to purchase their own physical servers AWS made server resources as accessible as an API request and AWS has gone on to create higher level. Abstractions for building applications for the first few years of AWS the abstract. Notions were familiar S? Three provided distributed reliable object storage elastic map, reduce provided a managed cloud. Duke system can nieces provided a scalable queuing system. Amazon was providing developers with managed alternatives to complicated open source software, more recently, AWS started to release products that are completely novel. There unlike anything else a perfect example is AWS Lambda the I function as a service platform. Other newer AWS products include ground station, which is a service for processing satellite data and AWS deep racer a miniature race car for developers to build and test machine. Learning algorithms on as AWS has grown into new categories the blog announcements for new services and features have started coming so frequently that is hard to keep track of it. All Corey Quinn is the author of last week in AWS a popular newsletter about what is changing across Amazon web services. Corey joins the show today to give his perspective on the growing shifting behemoth that is Amazon web services as well..

AWS Amazon Corey Quinn
"aws" Discussed on AWS Podcast

AWS Podcast

04:29 min | 3 years ago

"aws" Discussed on AWS Podcast

"The ad car model encompasses the different phases. Individuals go through and need to go through as as their. Going through a big change in certainly as your migrate into the cloud. Your organization in the individuals in it are under are gonna go through a big change. Add car stands for it's a D K A R and the eighth stands for awareness. So, you know, as individuals we need to understand the business reasons of of the change. So why we are going to the cloud and the D stance produce ir, and that's our individual desire to participate or not in the change. And as as managers as we're working with our staff through their personal change journey people who aren't on board that is not necessarily a bad thing. That's just a conversation. Right people who are resistance to change in my all our different times. That's an important conversation to have into hope move that person towards being part of the change of the K in the model stamps for knowledge. So knowing how to change that involves, you know, training in a is the. Ability to actually make that change to do the new work than needs to be done and the Nour's reinforcement getting to practice that and build that muscle. So a change management model like like add car or Qatar? They're really great in absolutely crucial because without bringing your people alongside certainly cloud. Initiatives will will feel differently different. It's it's good to have a robust model to to work to and for least how big is your department. Give us an audio sky. Yeah. The about two hundred and twenty people in our IT division. So this is not sort of getting a a group of five or so folks in a room and saying hi this what we're doing? This is this is that classic challenge of logical organizational change, it absolutely is. And it's also compounded a a little bit. Because a about a year ago, our IT division really reported up to two executive. So we had our our infrastructure group. Reporting to one. Executive and then our application development teams to another. And so we have also combined those two groups into one one division. So that's also additional change that is being layered in and because you know, all of that and going to the Cobb isn't complicated enough. We're also going to DevOps as we migrate to the cloud. And so we really have changed on on a lot of fronts. So there's a lot of moving pots it. What was some of the against the tactics and approaches he used to to address some of those components, some of the knowledge components, and some of the the the awareness components at Sitra says some of the things that that we have done so far have been we've done several cloud panels with all of our staff in in a room. And we've talked about things like raising awareness of these are the reasons why we're going to the cloud and why we're going to DevOps we've had another cloud panel about just focusing on migration. This is everything we know that we can tell you about our migration approach for next year. And where we're at. At we've also engaged in enabled our managers. So we in a manager meeting. We actually shared a change management model with them. We prepared them with answers our questions and answers. So that they would be prepared to have discussions with their staff about a pending changes. We've tried to create learning opportunities for everyone to on our staff early on in our efforts we enabled a AWS sandbox. So people can go in and and learn and explore we have online training. We certainly encourage AWS certifications. We don't require it that probably about twenty of our folks do have certifications. Now, we've developed cloud learning paths may have lunch and learns we certainly participate in some of the AWS regional conferences as well. As reinvent one thing to just going beyond IT, we've conducted several sessions column demystifying the. Cloud sessions for our business partners. So getting them together and really demystifying what the cloud is. And then talking about some of the impacts that would be specific to their business unit. Whether it be finance or HR or another area. We've also on a more subtle note have been modeling and encouraging a different way of working..

cloud executive AWS Qatar Nour Sitra Cobb