23 Burst results for "RPA"

"rpa" Discussed on The Crossover NBA Show with Chris Mannix

The Crossover NBA Show with Chris Mannix

02:16 min | 6 months ago

"rpa" Discussed on The Crossover NBA Show with Chris Mannix

"I can I think it really matters to him to average a triple double. I think we're past that point where that's just speculation. I think it really matters to him to have the statistical output. And he just can't, I think he struggles anyway to get to that place mentally to actually understand what it takes with the role he's going to have to play and however limiting that may feel to be on a winning team because he's only advanced past the first round of the playoffs one time since KD left him. One time and I think like LeBron sees that and is like, that's not good enough for what I want to achieve. But I don't know if Russ balances his desire for the role that he thinks he should play with trying to be a winning team. I think he believes if somebody would just let me play the way I would play everything would happen, but reality has demonstrated that's not true. So I don't know. I think maybe that is trying to break through to him in this very damaging but definitely an attention grabbing way. No question was attention grabbing. You wanted to see me miss swinton? Have you been hearing about the new government modernization efforts? AI, RPA's data science, things are changing at this agency, and people will need new skills. I'd like you to get some training. Look at this management concept catalog. Wow. Over 275 courses. That's right. And local classrooms or instructor led online classes. We still have budget in this fiscal year, so sign up online. Advance your career with courses for management concepts, get a catalog of management concepts dot com or call 8 three three 5 7 8 80 four 66. American corn farmers. A proud and chosen profession inspired through generations. Tested, resilient, and committed to giving back as much as they're growing, pushing the boundaries of what's possible with every bushel.

LeBron Russ swinton RPA
"rpa" Discussed on Software Engineering Daily

Software Engineering Daily

01:39 min | 1 year ago

"rpa" Discussed on Software Engineering Daily

"To get someone to talk to. So much could be over the automated today, just with what we have today. And UI path definitely could enable it in a fairly quickly within a reasonable time to configure. So I can see a lot of large enterprise. We've talked about medium small business opportunities. Is there an angle for the indie developer to be leveraging UI path? Actually, I think for the developers, now an ideal time, say, if I'm a developer and I'm always interested to work very close to the business needs or business process or I want to solve a business problem, the good thing about the RPA on about UI path is that you can turn that around much faster than before. And it can work very closely with the subject matter expert from the business than before, because now you have tools where the subject matter expert can just curate a simple recording generates an entire document generates the skeleton code, whatever needs to be done. And immediately you can turn that into a practical application that then this same person subject matter expert can then test and verify and use right away. One of the beauties that RPA was giving is that it really made it much quicker of implementing a complex process in bit by bit immediately and giving that back to the users immediately saw the benefit. And as you kind of went ahead, you could solve entire complex processes, but because we.

RPA
"rpa" Discussed on Software Engineering Daily

Software Engineering Daily

03:07 min | 1 year ago

"rpa" Discussed on Software Engineering Daily

"Cash flow of a company. That's one, but we have also ready made models for document understanding. So any kind of forms receive invoices, you can just send to our robots these invoices, and we would be able to extract the information, and we have them this whole mechanism within what we call human in the loop. So whatever these system is able to recognize if there's anything that the system is not very confident to have recognized it just then puts it into the queue of the human to revise it. And when they basically revise it or make any kind of correction, we would then track that information and then retrain the model automatically. So our engine also does AutoML on automatic machine learning basically. So that's all part of our platform. Do you see any rules of thumb for, I'm thinking of any organization of a sufficient size, they've got to have some if they're not already doing RPA. There's got to be a good opportunity for them to find improvements. Do you have any rule of thumb for how big a company is before they need to explore and where to find the low hanging fruit? If you think of a small business or a big business, they all have to do certain same key functions. Yes, to a different scale. But still automation, there's always shared type of activities everywhere, whether I have to process thousands of invoices or whether I have to process in a very small company, hundred of invoices every month. It's still a lot of work. And if I can automate it and save that time, it is as impactful for small businesses as for large businesses. Is our PA purely a cost saving effort or are there side benefits as well? Well, that's an interesting one because I think in the very early beginning when people first looked at RPA, they were all triggered by the vision of, oh, this must be cost saving activity, great, and I can save in many FTEs and whatsoever. But it turns out it's not so much just cost saving. It's just increasing productivity. So it's really helping to actually do more. It gives you more capacity to do work that humans should be doing and not the work that robust should be doing, whether it's taking data from your emails into some backend system or whatever you might be doing. And that's kind of the key proof point that productivity, capacity, increase that reduce the amount of errors that we would be doing as humans as we are humans. Now we would forget some data or mistype something and then correcting that would take even more time and all those things you can really eliminate. A user interfaces like a joke..

RPA
"rpa" Discussed on Drafted

Drafted

01:54 min | 1 year ago

"rpa" Discussed on Drafted

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Ford swinton RPA Geico
"rpa" Discussed on Artificial Intelligence in Industry

Artificial Intelligence in Industry

06:23 min | 1 year ago

"rpa" Discussed on Artificial Intelligence in Industry

"I see a lot of opportunities there got it yet like you said rigid was a word you use of if then something that i hear people kind of mentioned yeah just being able to structure a bunch of if then statements. Of course there's huge swath of work where you can do that. There's other swats of work where you can't. I'd love to put maybe some tangible examples around this when you think about that. Small layer of where. Hey i can bring us around the bend in actually make something handleable by anarchy a system that Traditionally just by hard coding alone would not be able to get done. Do you have a couple that you you can kind of identify. That would help us. Visualize this sure well actually let me. I may be defying like. There's like this is our today but also like there is a notion known as in the literature are to that. Oh it's say new approach by may think i can actually help more than like the interfaces or more than the management aspect of saw. This are paid to that. Oh is Basically looking or seeking to eliminate human dependent training. Or if you will. That memorization analogy that. I just gave it. Relies on basically adopting like reinforcement learning algorithms on the rewards to our and train them issue better performance as i said with minimum human dependent training and enabled. Rpa's needs to really achieve more complex automation by using a i to minimize human dependent training and automating complex tasks that will result in decision making right division here really builds on the traditional. Rpi technologies if we wanna go a step further to automate comic task. Which will require this. You know inside the relation analysis or composition coordination calibration of these multiple arpey solutions. And i want to open up the calibration aspect because there's all these rpa's or buts around. Have the best use of these bouts right and one common practice for creating our piece is to create butts that perform small steps as possible in our workflow therefore you can use. We use them in the future. Right by combining with other box or in some demand used in different contexts et cetera. Like one example could be i. There's a that updates a customer information for him. let's say finance departments in the retailer. You could make a bunch. That does the customer democra- fix update part alone without the bank account. Information which you can use the same baugh. In updating the customers profiling a with a procurement application right so the idea here is to create as much reusable guts as possible. But then after a while you have a lot of these buds right like mar. Either someone many la- needs to remember to reuse them or somebody needs to write those rules to combine them right or somebody to write a script defined combined renault make a combination of these fultz. So this is why. I think i can help to carry our peace next level the most. How can you build a framework that can find automatically necessary buts or automation units. Whatever you wanna call these to coordinate an perform the end goal in a flexible to meet the today. We're not really human touch so you can learn from previous interactions or the success of combining different butts and make better combinations through these learnings liberty. Gay i and again another example here could be like if he used the same example of this customer information update if one but only updates the customer demographic information in another but informs customer about this change you can look at the past patterns to see that these bots almost always use consecutively and end goal was always shift successfully so in the future if similar end goal is defined by the user. You couldn't connect these two butts automatically and be of some confident level that they would work great together by leveraging gay right while i'm starting to see division although i am gonna ask to get an example here so i can paint it a little bit better in my mind in the mind the listeners. This clearly feels like kind of the zeitgeist. We'd like to move into as opposed to where we are that this idea of kind of modular intelligent bots that can start to you. Know cluster in work on problems in humans can figure out which ones cluster frequently and kind of can can be combined in powerful ways at. That's certainly a unique vision. Not wanna have heard before also one that you know clearly were a little bit far from today but somebody's gotta think of the future and certainly. Ibm does a good deal of that when you think about where ai. Maybe this idea of modular. You're talking about or this idea of our two point. Oh or kind of leveling up that intelligence you talked about mortgages early on. We can stick there if you want. You can go to another example. Where's a place where maybe task x. wouldn't really be possible with hard coating but would be possible with kind of this next level of of intelligence layered on top of rpa's ernie tangible we can talk about while sure. I wanted to give two examples. And i think they're both relevant in especially in this pandemic era. Some one of them is we can stick to the mortgage but like the primary one i wanted to use was in trouble of pre approval process because i believe every single company has The days we used to travel for work as a traveler will policy right like that. You obtain after from your management with a business justification and an estimated coastal travel and other use case can begin this loan application process where customer summits alone application long of processes. This requested determine whether to approve rejected right so the traditional. Rpa's can help for example in the lone officer case to automate certain parts of the process. We're like you can query analyze process data etc and. Both case are interesting because like a part of these processes or maybe all the process entire process may need to suddenly become a jal overnight in response to a pandemic for example on for mainly to remove april on or in trouble use gays processes may not be readjusted to address this company policy. Changes like especially at the beginning of this pandemic like we can travel to easily. He couldn't travel to china so like creating intelligent are more automatically with the capabilities. I mentioned earlier such as composing coordinating or collaborating these different butts and basically creating this chain of butts in an automatic.

Rpa la Ibm jal china
"rpa" Discussed on AI in Business

AI in Business

01:54 min | 1 year ago

"rpa" Discussed on AI in Business

"So marvan. I'm glad to have you here with us on the show and i know we're diving into the topic of rpa intersection with a i. I think given the coverted era is a lot of thinking about gaining efficiencies about finding opportunities for automation when you're working with big enterprises obviously. Ibm works as many of the largest firms in the world. How do you walk people through finding those pockets where automation could make a difference. What does it look like spot opportunities in workflows yet. Thank you that. This is a very interesting area. Especially as he emphasized during this pandemic a company has realized that some of the workflows could be rethought through given most of their workforce with two remote working right so before we discussed this topic further. I'd like to open up the definitions of key concepts here for the audience. So what is it business workflow. It's basically an execution of business processes that contain tasks information and paperwork related to all of these right and then they're passed from one person to another to achieve a business school better. It could be alone operable for a bank or could be a claim submissions furnishings company. So this usually moms one or more people and a hub can best leverage automation in these workflows needs to be thought through in a few dimensions so the first one is from overall process and the workflow performance point of view so in order to analyze the performance. Right manner i. We need to understand the end goal of workflow if he thinks through the same mortgage scenario is the goal to sell more loans or is it to process loans faster or it can be combination of these metrics but we need to really define the key performance indicator or the goal of these workflows and then start monitoring the performance towards these goals and one of the very obvious waste of flying. The pockets of automation is then to find the bottleneck tasks in these workflows that will impact the

Rpa la Ibm jal italy china
A Powerful Intersection of AI and Robotic Process Automation With Merve Unuvar

AI in Business

01:54 min | 1 year ago

A Powerful Intersection of AI and Robotic Process Automation With Merve Unuvar

"So marvan. I'm glad to have you here with us on the show and i know we're diving into the topic of rpa intersection with a i. I think given the coverted era is a lot of thinking about gaining efficiencies about finding opportunities for automation when you're working with big enterprises obviously. Ibm works as many of the largest firms in the world. How do you walk people through finding those pockets where automation could make a difference. What does it look like spot opportunities in workflows yet. Thank you that. This is a very interesting area. Especially as he emphasized during this pandemic a company has realized that some of the workflows could be rethought through given most of their workforce with two remote working right so before we discussed this topic further. I'd like to open up the definitions of key concepts here for the audience. So what is it business workflow. It's basically an execution of business processes that contain tasks information and paperwork related to all of these right and then they're passed from one person to another to achieve a business school better. It could be alone operable for a bank or could be a claim submissions furnishings company. So this usually moms one or more people and a hub can best leverage automation in these workflows needs to be thought through in a few dimensions so the first one is from overall process and the workflow performance point of view so in order to analyze the performance. Right manner i. We need to understand the end goal of workflow if he thinks through the same mortgage scenario is the goal to sell more loans or is it to process loans faster or it can be combination of these metrics but we need to really define the key performance indicator or the goal of these workflows and then start monitoring the performance towards these goals and one of the very obvious waste of flying. The pockets of automation is then to find the bottleneck tasks in these workflows that will impact the

Marvan IBM
"rpa" Discussed on AI Today Podcast: Artificial Intelligence Insights, Experts, and Opinion

AI Today Podcast: Artificial Intelligence Insights, Experts, and Opinion

04:49 min | 1 year ago

"rpa" Discussed on AI Today Podcast: Artificial Intelligence Insights, Experts, and Opinion

"But it's made a big resurgence in the form of. Cpi or people realized. Oh i can bring an agile. I can use the seven patterns which basically helps me figure out what kind of project i'm running. And they basically do these things rations so the answer is can. I have a fully functional. Ai project in two weeks yes separate to that can just have a fully functional rpa project in two weeks answers. Heck yeah right as long as you know no problem. You're trying to solve as long as you understand the process and the data requirements. As long as everything has been prepared you can get income with a high degree of reliability. So we harp on this a lot we were advocates for for good process. Good methods right exactly and we continue to be surprised. Maybe we shouldn't be but we are at how many people do not have a methodology so as mentioned if somebody is new to your team or if somebody leaves or if somebody joins the project midway how do you know what data that you've used this goes for. Ai production machine learning projects. This also can go for our projects you know what. What process are you trying to automate. Where is that data coming from. How are you managing exceptions. How are you adding a i into more of that. Cognitive technology with those levels that we talked about. How are you looking to add that into your bots. Are you not are you just doing it ad hoc a lot more people than you know we would like to admit are doing things ad hoc and that's why we advocate for methodologies specifically cpa methodology We did not present the seven patterns here. But we have podcasts on this we have forbes articles on this..

"rpa" Discussed on AI Today Podcast: Artificial Intelligence Insights, Experts, and Opinion

AI Today Podcast: Artificial Intelligence Insights, Experts, and Opinion

01:46 min | 1 year ago

"rpa" Discussed on AI Today Podcast: Artificial Intelligence Insights, Experts, and Opinion

"So you know. We focus heavily on art. Official intelligence machine learning cognitive technologies in our education but one area where we're spending some time. Educating our customers is about robotic process automation are and how it fits into the overall. Ai picture we thought it was important to do this. Because you know especially a few years ago. I think there was some confusion in the market and maybe You know the confusion wasn't always meant to be corrected by some of the vendors about our pa you know how they're similar how they're not similar and how they fit with each other so are are not intelligent and hopefully you know we have hammered that in with a bunch of podcasts that we've had and in our education do as well and they're not meant to be intelligent but they certainly do at a lot of You know value to what you're doing and you can add intelligence to them to make them even more useful and we go over different levels of how you can add to your rpi bots. The real value that are pa provides it comes from removing the bought from the human. You know no longer are humans. You take away those tasks that huge just aren't good at you know. We are not good at sitting and doing very repetitive tasks over and over and over for hours every day so rpi helps take that out of the human take that repetitiveness out of the human and then we give them to machine so that they can do it. These repetitive tasks take time. They can be very boring. They also are error-prone as well. Because as i mentioned humans are not meant to be doing that all the time

kathleen mulch ron schmeltzer one few years ago today one area things cowed Cognreznick dot com few months dot
An Education on Attended and Unattended RPA Bots

AI Today Podcast: Artificial Intelligence Insights, Experts, and Opinion

01:46 min | 1 year ago

An Education on Attended and Unattended RPA Bots

"So you know. We focus heavily on art. Official intelligence machine learning cognitive technologies in our education but one area where we're spending some time. Educating our customers is about robotic process automation are and how it fits into the overall. Ai picture we thought it was important to do this. Because you know especially a few years ago. I think there was some confusion in the market and maybe You know the confusion wasn't always meant to be corrected by some of the vendors about our pa you know how they're similar how they're not similar and how they fit with each other so are are not intelligent and hopefully you know we have hammered that in with a bunch of podcasts that we've had and in our education do as well and they're not meant to be intelligent but they certainly do at a lot of You know value to what you're doing and you can add intelligence to them to make them even more useful and we go over different levels of how you can add to your rpi bots. The real value that are pa provides it comes from removing the bought from the human. You know no longer are humans. You take away those tasks that huge just aren't good at you know. We are not good at sitting and doing very repetitive tasks over and over and over for hours every day so rpi helps take that out of the human take that repetitiveness out of the human and then we give them to machine so that they can do it. These repetitive tasks take time. They can be very boring. They also are error-prone as well. Because as i mentioned humans are not meant to be doing that all the time

Confusion
Interview With James Spencer of Blue Prism

AI Today Podcast: Artificial Intelligence Insights, Experts, and Opinion

01:56 min | 1 year ago

Interview With James Spencer of Blue Prism

"Are really thrilled to have here as our guest for this episode. Are james spencer. Who is solutions. Engineer manager at blue prison so high james. Thank you so much for joining us on ai. Today my pleasure. Thank you for having me. Yeah thanks for joining us james. We'd like to start by having you introduce yourself to our listeners. And tell them a little bit about your background. And your current role at blue prism. Sure thing so. My name is james spencer I have been at blue prison for coming on for years now. I manage a solutions engineering team. Specific focus on our public sector customer base so that includes a mixture of federal government customers and also state local educational customers My background actually believe it or not is in the life sciences. I used to be a a research scientist and found way into the data. Analytic software space Many years back when that's great. Well that's a great introduction and sorta brings here. Maybe tell us a little about about how you got into blueprint. Maybe a little bit about sort of what you're doing there and some of the projects and we have some more questions for you to sort of dig into the experiences there but maybe maybe sort of bring us into a how you left life sciences and came into this role to process automation. And rpa kind of where you see a sure absolutely so. Interestingly enough what What led me away from the life. Sciences was the realization. That i didn't want to get A phd and so that caused a bit of a sea change in my life trying to decide what what what do i do with my life now because without that advanced degree you're fairly limited in the research space And that's what. I came to realize everything they had been already doing in the research. Realm around data analysis in using statistics to identify trends and patterns in my data also applies within the realm of data science. So that was What i think led me to consider a career elsewhere

James Spencer James
"rpa" Discussed on The Pilot Network Podcast

The Pilot Network Podcast

05:43 min | 2 years ago

"rpa" Discussed on The Pilot Network Podcast

"Sixty five says the age of retirement for their thing. You think how about this something you think. Sixty-six-year-old will say you had a year off ir dreer scenario thinking should know about or that that that dude would tell you today to do or keep doing or stop doing. Yeah in your current affairs and situation kind of stems along the lines of the second bolt face whatever you call it in that's Kind of being productive with your time off In saving so saving money be one saving information that you've learned. Don't just read over stuff or think it's gonna just stick to be active in this stuff. Like yeah. I've tried falsely podcasts. You think i'm just gonna know what. I learned the podcast overnight. The next morning. I'll figure it alles yatta remember anything i am and whatever so it's lost but yeah saving money saving information you've learned in using the time that you have like for the last year such reduction in flying that there's a lot of people like okay. What am i gonna do now. And i was one of those people were like. Oh god i don't know what i'm supposed to do your will for other jobs. I'm trying to stay relevant to my understanding of flying. So i don't forget how do everything but that's where you can use that opportunity to learn something new In in that way down the road at the ever come across this again. You've spent this time productively Because again we probably aren't going to help something like this again in our lifetime. Like some sort of big massive event like this but god willing. Hopefully we won't yob let's you know. Hopefully that's going to be the case. But you know. I saw there's a quote from The author john steinbeck and he said if you find yourself in a fair tactic suck and so you kinda wanna stack the deck in your favor so during this timeframe when you are at a disadvantage when when your.

john steinbeck today last year Sixty-six-year-old second bolt next morning Sixty five a year one
"rpa" Discussed on The Pilot Network Podcast

The Pilot Network Podcast

05:08 min | 2 years ago

"rpa" Discussed on The Pilot Network Podcast

"'cause they're so busy. Nobody's nobody's strapping. Everybody's shipping no one's going out to the stores So they're doing just fine. So it's more of the people mover side of the airlines that that is the volatile side because the cargo side doesn't really change Yeah well until they until they have. Rpa that's and antonoff one. Twenty four is flying nobody on board tons with with. It's more tons of stuff for whatever you know. That's the one. That's the one like gotcha with that world. But the only thing that someone said this to me back and was like oh that makes sense. They were like yeah. I'm not really worried about that. Because do they have do. They have like driverless. Trains yet and trains are on tracks. Like oh yeah. I guess not so okay. I guess the cargo will probably find a while. I think we're all safe and i. I had a discussion with a friend of mine. This is ten years gone out least and he said are you should be worried but he said why i'm not worried. They said it's not the air planning airplane can fly alone by itself. I said there's two things though. Yeah one is the infrastructure at the airports currently. I don't know how. I'm sure they'd figured out but i don't know how wants an airplane lands. They're going to get it from the runway to the gate a fast enough time period for it to make sense to pull the pilot out right. We're talking speed money right like speed and a lot of money spent from the terminal terminal lake where you push back to the runway. I mean look at o'hare latency time right talk running voters mean they talk about it all the time in company memorandum's trying to reduce latency time. So if they're talking about coming company memorandum. It's worth a lot of money. Would you single engine taxi. If you've an airplane lands taxi at four knots. Because of the way the said. And i don't know any of this kind of dumbed them meathead and i don't know but if it's got a taxi and it can't get to the gate and you can't and you or or you want to restructure the airport where now the gates are pressed right up against the runway which is great and you have less land and all that i'm all for it but you're talking probably trillions of dollars hoping that that ground.

trillions of dollars two things ten years four knots Twenty four one single engine taxi tons of stuff
"rpa" Discussed on The Pilot Network Podcast

The Pilot Network Podcast

05:17 min | 2 years ago

"rpa" Discussed on The Pilot Network Podcast

"Duties. Those those do occur but there. That's not part of what i was hired into. I was hired into as a as a line flyer for the foreseeable future. It seems like our as are going to be a fairly preval. Winston i guess the operational aspect of the military and probably a lot of other stuff. Love it other things too so it just depends in in this one of the fortunate spots. I've found myself in his to have the ability to figure out which is going to work. Best Do i want to go back to the majors and five for awhile. Air while balancing a traditional reservists slot or do i wanna make it full time for a while and use the military option which the airlines are very good about until things settle out or until i can find that balance. A that's an option to. I think for right now. I'm going to be doing fulltime. Rpa for for at least at least the foreseeable future until i can get a grasp on on where things are headed well. I don't blame you at all. I think a lot of us are doing etc. I can't speak for some people. i know. A lot of people are asking me. Are you flying lot well. I'm doing a lot of work for the guard. That's not necessarily fray some other stuff. That i'm i'm helping out with but one of the funny parts that goes along with that is oh what about the airline guys you know. A lot of people laid off a lot of people furloughed. whatever. I'm like well no not. As many as we'd be right and cases some people are actually because of the way this worked out a calling in sick. The airlines did a lot of flexing to staff correctly on. All right guys are doing. Some guys are are taking advantage of. Yeah absolutely not being manipulated for bad or anything like that or doing something. That's you know Has malfeasance written all over it..

Winston five one parts
"rpa" Discussed on The Pilot Network Podcast

The Pilot Network Podcast

05:44 min | 2 years ago

"rpa" Discussed on The Pilot Network Podcast

"Still struggled with all that and then airbus was in some people You're not a real pilot now. I'm like what little smack i don't care. I don't. I'm i'm not in a measuring contest. What i am into is whatever. I can do to take the load off my very insignificant brain so i can think more and be safer and i just don't like airbus had had kind of that mary matter what i tell you this if i can interject quick that is kind of logic in the way that the darby is built our are built to alleviate workload That's how they're set in when you understand how they're built to alleviate then you can allow it to do that but there's so much stuff to learn to get to that point. You're kind of overwhelmed. Even though those things are fast so long that rolls directly what. I was about to ask you. You went from flying tankers to our platform. And now you're in. A mixed are aside tackle aircraft platform. What kind of a transit. Now okay. you're not doing strafing. Runs in eight ten or cap with an f sixteen but you do have to understand a lot of basic tactical principles. Oh yeah shoot the haiti's bomb as we were talking leagues so when you're getting ready to drop the haiti's for those of you don't know that's an iron eagle reference. Please check it out going from a tanker to that with a little bit smicer in what. What's that like. I mean because a lot of these folks that are doing it are coming straight from pilot training. So they don't know.

eight f sixteen ten
"rpa" Discussed on The Pilot Network Podcast

The Pilot Network Podcast

05:25 min | 2 years ago

"rpa" Discussed on The Pilot Network Podcast

"I don't know what it's called. yeah. I mean i don't. I don't have any idea you everything was was moving along really nicely for us in the airline world and in the military rule everything was great. I was commuting though. It's kind of like in hindsight of very challenging thing to do is to commute to both jobs community. Yeah it's everyone says don't do it and i'm like and it really wasn't that big of a deal. I believe in mind it. nobody else. Everybody else's should you know what i'm better shown. Still then the three jobs out another so. Yeah size commute the two jobs the garden in the airlines and cova girls around in prior prior cova like we were knocking on the door of captain within about five years in the in the majors albeit one of the smaller narrow body jets. But still i mean that's a big deal. Oh yeah so Yeah disappeared As soon as code hit and travel stopped and the writing on the wall that there was going to be a furlough. I mean that was pretty much. What's coming down the pike in everybody. Every airline pilot flew had always said. You know it's going to happen to. It's going happen to everyone at some point in their career at like no. It's not and sure enough here. We are January february timeframe stuff starts hitting in slowing down. And i started thinking. Okay if i get furloughed How's the got how is like the garden aspect play out And i started talking to the guys back at the group and there just wasn't any fulltime opportunities air. It's a small attachment to the larger unit but the funding of course no different pots of money. And all that crap. I comes from a different area so we can't just up a full-time a fulltime officers. There just doesn't occur so with that being said i had to start making some tough choices and think okay. I can probably can't make things come together on pure traditional guard standpoint as probably not going to happen given the limited number of days that we have in if i get if i truly get furloughed furlough pays only a couple of months pay. So he started thinking okay. Where is the for. Logan ahead in an sitting in february march time timeframe Thinking it's going to probably be like late summer early fall. So i started hitting the pavement trying to figure out what the next step is As a stopgap in ideally you'd want something that You could continue after things kinda set allowed so you're not like heaven re jump in screw two different opportunities for yourself so mike. My plan was to find another another military stuff up. Nellis didn't have a whole lot of stuff I kind of looked around like they. Zone areas california kind of a bunch of different like southwest stuff. Because that's where. I was living even the northwest stanley air. So like pretty much anywhere and yeah you just kinda cold call places stumbled into something and they were hiring That's basically it They were just looking for people in is our experience and.

January february california february march two jobs three jobs both jobs late summer one about five years northwest stanley air mike two different opportunities Nellis early fall couple of months
"rpa" Discussed on The Pilot Network Podcast

The Pilot Network Podcast

05:38 min | 2 years ago

"rpa" Discussed on The Pilot Network Podcast

"Where because after you did was not in while you're doing the guard saw you still have that it's to fly civilian get your and we're so a you you sorta in corporate flight plan your. What was that like. Because i remember you were a heavy recruiter For me and others you gotta go corporate. Yeah and oh yeah. It was time to lake. I wasn't. I wasn't interested in being fulltime guard. Or let's say it wasn't working out to be fulltime guard rather so i found another job which was great In i'll say this again with anything you do aviation wise everything career broadening. You might think okay. This is not where i want to wind up. But at the time it seems pretty damn good and At the time yeah. I thought that was where i was going to be about. This is going to be like this. Is the path beyond this balance. I can maintain some great experiences in coming from my previous. Which was you know Flight instructing and then getting paid fire planes in the military for training and then the guard. this was a whole different world brand new equipment. A brand new. Couldn't we had one jet. That was one year old. And one at the time i got in. That was like two months old like beautiful airplanes in it was just amazing stuff Yeah in in. That's where you think you're gonna be and then you know as you progress us kind of start to get a better perspective on what's going on. You're kind of like all right. Maybe there's other stuff out there but yeah really on. I'll say early audio. I was a recruiter for corporate tax. I think i had the sandwich board in the bell and i running. Yeah you slipping the around your job now all day last. Yeah you're spot on. And i know people who stay who stayed in corporate and it has its perks..

one year old two months old one one jet
"rpa" Discussed on The Pilot Network Podcast

The Pilot Network Podcast

04:38 min | 2 years ago

"rpa" Discussed on The Pilot Network Podcast

"That airplane was. I mean amazing out in a testament to the maintenance guys that we had to The guys that we have in madison are just amazing. These guys have been with that airplane since its inception into the guard back in the nineties in so they just know everything about like in the unlike. Any guard Probably the reserve to Against become the reserve. Your haven't had any experience with their kuchis like from the guard standpoint like those are their babies like those airplanes yacht. The tankers yet. They're fifty six years old now. But i mean they're in tip top shape and and better off than some airliners. I mean certainly less hours. you know. yeah that's for sure. I realize those things. I can speak to the reserve side and the reserve guys sacred. They take it's it is and it's unfortunate when When they cross a little doll happened at macdill and they were trying to keep the so. They're trying to keep their airplanes babied and taking care of and they intermingle with duty side. The active duty side is a lot of turnover. Their crew chiefs need not saying that they don't care but they just don't have the time because they're going to be there for twenty years right there with that airplane for their entire. They'll never have their name painted on the side and if do six months to a year later it's switch someone else. Yeah so they have a little bit of time to put some effort into by the time they can get their hands dirty. It's it's too late. And i i get what you're saying. It is cool and you have that kind of experience. Those airplanes i mean. They're they're they're old. We don't have. Of course you know the the newfangled stuff. I mean like the twenty two. When did that come out. Got a great story about that. An amazing aircraft but like even on still like ten years old own thirty. I so i did check this so edwards is where all all of our test stuff happens and i shouldn't say not. I should be caveat that not. All of our tests happens at edwards air force. There's a lot of other stuff that happens in other places for operational testing so ot goes other places but edwards is where you have the right stuff Test pilot school all the all. The baby steps in airplane needs to take after. It's made an factory do edwards so back in two thousand four new copilot and the fed the trip. We had goes out to do raptor testing..

twenty years thirty fifty six years old a year later two thousand twenty two ten years old six months macdill madison four new edwards nineties
"rpa" Discussed on The Pilot Network Podcast

The Pilot Network Podcast

05:18 min | 2 years ago

"rpa" Discussed on The Pilot Network Podcast

"Rc twenty twenty-seven that because first of all it's a cool mission and it's an interesting if not eclectic and quirky airplane. Oh yeah it's very interesting super cool mission stateside counterdrug. So we're going with different agencies yachts counterdrug so we just worked with their counterdrug task force to rid the streets of a bad stuff they evildoers. Yeah and that's really what it is But yeah i mean. There's some parts to it that i probably won't speak about but it's it's definitely an awesome mission and the best part about the mission is its operational from day one year. Not if you're you're balancing jobs which we can talk about later between a guard job and then like a civilian job. There's nothing better than going to your guard unit at executing the mission. Not going to gardner to knock out another trade like Okay we gotta get. You're gonna log pave it. That's great and everything. And that's obviously a big factor but from like a job satisfaction standpoint. It really is. I don't think there's anything better than that. And i don't know enough about our people to speak on that but i imagine that's the same way Where you're going in on day one when you're back from training your operational aside from when you finish on mt you're not you're knocking all like actual operational missions from day one with the end of the year you look at. What did i do last year. And you're like okay will be. We did this week. We took this much stuff off the street. We you know this much in the way of like weapons were compensated or or this much amount of drugs and you could sit as a tangible thing that we did that last year in it feels better. You know it feels good to the Stuff we did versus. Yeah i got fifty two landings and forty five glasses and yeah great you have a specific mission that you can talk about or memory from flying the airplane an rc. Twenty six..

last year this week fifty two landings day one Twenty six forty five glasses first end one year day Rc twenty twenty -seven
"rpa" Discussed on The Pilot Network Podcast

The Pilot Network Podcast

05:44 min | 2 years ago

"rpa" Discussed on The Pilot Network Podcast

"In your in your last year if he wanted to his volks multi-resistant adam but the first my freshman Keep instructors riddle like they were gone. They were going to like at the time..

Advancing intelligent automation: Interview with Chris

AI Today Podcast: Artificial Intelligence Insights, Experts, and Opinion

04:22 min | 2 years ago

Advancing intelligent automation: Interview with Chris

"Hello and welcome to the AI. Today podcast I'm your host Kathleen Malk. I'm your host Ronald smells or our guest. Today is Chris Townsend. Who's the area vice president of federal at Uri Path? Hello Chris Thank you so much for joining us on today. Good Morning. Thank you so much for having me. Yeah Welcome Chris. And thanks for joining us. We'd like to start by having you introduce yourself to our listeners. Tell them a little bit about your background and your current role at you. I pass hurt. Thank you I've been back for about eight months now. Joined in September of last year point prior to that I was at semantic where I loved their federal business for about four years on the cybersecurity side of things and prior to that I was at Cisco for about ten years and led their federal healthcare protocol. I'll tell you it's so refreshing. Cybersecurity is section important segment of our business. And what we do with our security you were always talking about. Haywood the bad things that could potentially happen to us in the technology we need to protect ourselves and now joining you I pass. And talking about our and the efficiencies we can gain and how we could make people's lives better by improving their day to day jobs and taking a lot of those mundane work off. Their plate has been really rewarding and very excited to be here great. We'll definitely you know it's kind of interesting. We obviously here today. We we talk a lot about television systems in a and machine learning and of course the role that automation has to play as part of that whole thing as well and it's interesting because we talk. I'll let you mentioned a little bit about cybersecurity. And that's been a hot topic for well over a decade DECA two decades of course but people didn't realize they go out cybersecurity prior to say the beginning of the two thousands. Because we didn't know didn't realize we had all these vulnerabilities in these systems. And now I think people are sort of making the same realization with intelligent systems. Like we have all these processes but like. Oh wait we can make the more intelligent. And this idea of hyper. Automation has gained popularity in recent years. And it's the the idea of combining a bunch of things together because not just about automations. Obviously more but the word hyper is all about so for our listeners. Who may not be familiar with the term hyper automation? Can you explain a little bit about what it is? And what role does robotic process automation and other forms of automation. Artificial intelligence have to do with hyper automation. And of course the relationship to kind of what you're seeing and your customers absolutely and I love the parallel use the evolution of cybersecurity. Nearly two thousand. GonNa everyone was I connected to the Internet needed to protect their systems. And how that evolved to what is today and and the importance of it. I think we're really on the cusp of that right now. With artificial intelligence in our PA the evolution of how to use technology and apply if you look at the productivity of worker you know back to the industrial revolution over the last one hundred twenty years productivity is consistently increase over that time. And you know it was pretty dramatic in the beginning of the nineteen hundreds when we had assembly lines and more mechanization and an industry that really propelled that productivity when we moved into the I T H and of course introduction ubiquity ubiquity of it really accelerated the productivity of workers as. Well now we're seeing is. Productivity is increasing at a decreasing rate. That's flattening out. And the reason for that is we have all this great technology just providing a tremendous information and we're leaving it to employees now to sort through all that information aggregate collect analyze and it's really impacting our ability to be productive so the value of our PA and AI is to outsource that work were to shift that work of collecting aggregating and analyzing that data to robots to automation into A. So we're also seeing which is driving the shift to hyper automation. And the move to hyper. Automation is really putting. Rpa as the core of this evolution. And how we'RE APPROACHING AUTOMATION IN THE APPLICATION OF AI to improve productivity to offload this low value work so hyper automation in a nutshell aggravates. A lot of these technology capabilities across whether it's cloud. Hey I or PA other tools and systems to really accelerate productivity and accelerate the use of our PA. And if you look at the Gardner Studies Garces the top ten technology trends in twenty twenty. Move to hyper automation. And we're GONNA see a thirty percent. Operational cost reduction and the next two to five years as a result in sight broader mason.

Chris Townsend PA AI Kathleen Malk Area Vice President Intelligent Systems Uri Path Ronald Cisco Gardner Studies Garces Haywood
Global AI Adoption Trends

AI Today Podcast: Artificial Intelligence Insights, Experts, and Opinion

08:31 min | 3 years ago

Global AI Adoption Trends

"Hello and welcome to the AI today. PODCAST I'm your host Kathleen Mulch. I'm your host Ronald smells so one of the things we do at cognitive let occurs we produce research on the markets and landscape. We look across all the people that we've spent time talking to the use cases. The case studies all Venice. Did you spend time talking to and we ask ourselves the question once a year. Well how is he. I being adopted worldwide. What's happening in the world with people actually implementing an yeah right right are people or companies are certain regions more heavily adopting ai than others? What's really going on so a few weeks ago? We published the report called Global. Ai Adoption trends and forecast for twenty twenty. So we'll linked to it in the show notes. This one is a free download so we encourage all of our listeners to download it and check out the findings but we're going to spend some time today going through the report itself and highlight some of the key findings and maybe some unique or interesting. MM findings that we found from the survey and the report that we did and so the way that we accomplished this as we serve it we sent out the survey to over fifteen hundred individuals individuals various different companies and countries all over the world and got some two hundred and something responses and use those responses to one inform US specifically what's happening of course allowed allowed to also generalize in some ways about the trends that we're seeing for that if you're interested by the way participating in future surveys. I encourage you to reach out to us. Send us an email to info so I- NFO at Melissa and L. Y.. Dot Com and we would be happy. Include you in future service right so so we'll go through some of the key findings first and then the way that we also broke. This down was by our seven patterns obey because we said okay. Well let's one thing to say people are adopting ai but how truly are. Are you adopting A. Are you doing predictive analytics. Application or chat BOT application or hyper personalization application so some of the key findings that we've found from the the report is that by twenty twenty five over forty percent of the respondents that answered our survey said that they will implement a I in one or more of the identified seven patterns earns of Ai and almost ninety percent said that they'll have some sort of impress a implementation over the next two years. We found those numbers to be. You know very positive positive signs for the industry because it saying almost half will implement one or more pattern by two thousand twenty five so just a few years and then ninety percent so nine out of ten said that they'll have some sort of a m progress within the next two years so you might be thinking. He's looks like contradictory information. Wise that the forty percent or say and do but ninety percent have a project that they're doing two years you would think that ninety percent they're doing well this has to do with of course understanding versus the patterns because we asked them all. Okay yeah great well. Let's not talk about. How many of you are looking at doing a chat Bot and the next two years okay? How many of you are looking at doing a machine learning predictive analytics or recognition project or some sort of automation project? That's using cognitive automation. Oh well all of a sudden now. The numbers started going up and in our chart will show you kind of how the adoption patterns are looking looking because basically when you start looking at the more details yeah machine learning honestly an ai are being embedded in everything and it actually may be difficult to avoid using a machine learning. So even if you're saying well maybe we're not intending to build her on machine learning models it may end up being the end up using them anyways so we also sort of looked looked at turtle how the world was moving with. We're like well. Maybe you know North America Europe bird kind of moving at a different pace Rasiah Africa. Now you know what this is one of the interesting things about I in our research from all respondents and a response come from all over the planet they are all roughly moving at the same pace. It is true that you know Australia. Eliana Asia Europe. They have different timing. What their plans? But basically it's not like we're seeing an over concentration of aggressive plans and North American Europe and less so otherwise it's just it seems like this is just the global movement and then another thing we've talked about process automation a a lot and many companies especially many government agencies here in the. US are very hot and heavy on and process automation. In general. What we found is that fifty four percent of respondents plan to implement a approaches to process automation within the next few years so over half and then fifty two percent of respondents plan into implement a enabled conversational systems by twenty twenty five so those again were not really surprising numbers for us but something that we wanted to point out because because people are finding value in automation and I think in general taking their data cleansing it and then using it for higher level value uh-huh and so when they're able to take cognitive approaches in process automation they're starting to really see value in so we're excited that people who are really moving forward with that? Let me talk about a enabled conversational systems all the time and how companies can use that to help in a variety of different ways that can help with customer service service can also help with. It self service so they could use it internally as well and it's able to allow companies to do more with the same or less resources than before right right so our last sort of key finding sort of digging so some of the more details in a moment is that for the organizations that are sort of struggling with making ai ham or like a haven't quite quite yet taken the step. What they've said is that their biggest barrier to adoption is actually insufficient quantity or quality of data? That's like one of the biggest things things followed by lack of talent so basically people in data for a lot of response to send you know even for the people who are moving ahead. They have acknowledged that these are things that a slowing them down so for the companies that are not planning to implement ai at all within the for the next two years. The thing that they said was the biggest showstopper was just. They haven't yet justify the Arwa. which kind of makes sense or that? There isn't enough of an advantage of AI. Over non approach sprang for the ones that have taken that next episode okay. I think there's I want to do this project you know. I have have an R. Y.. I think it's going to give me an advantage. There getting stuck on people and data right right and that really comes as no surprise because cleaning data it can be a very very manual process very time intensive it can also be very costly as well and depending on the sensitivity of that data. That depends on what vendor or you can go with and where physically the data needs to be cleansed and crapped then followed by limited availability for a talent and skills. We've talked about. There's a big telling cruncher especially around data scientists so some of these smaller organizations. Just don't have the money to afford a data scientist on their team. So what can and they do then. That's where they're limited by hiring talent so digging a little bit deeper in one of the things we did our report is we asked them say okay. Well how many of you doing okay. Great Right now. How many of you are doing hyper civilization or pattern about is a nominally? Is predictive analytics. No automation which is not AI. We spent many reports talking about that. But we do track it because it is that when those pathways to get Aso we talk about process automation separate from autonomous systems. And then we talk about conversational systems recognition recognition systems and then goal driven system. And maybe it might not come as much of a surprise but the thing that's been the most widely implemented as of last year conversational national systems chat bots voice assistance Alexa skills. You know smart tech spots and embed. Yeah because you may not necessarily be thinking of those things is they. They're are all powered by machine learning especially the constitutional system. I you know high rate of adoption moving at a very sort of steady in four grants annual growth that the annual growth but like the OT overall adoption is like twenty percent and twenty four percent just keeps growing that episode. The thing that's kind of more interesting is the ramp. The rate at which people are implementing running process automation right or plan to within the next few years so in twenty nineteen there were about. Ten percent of participants had are bought in production production. Twenty twenty about sixteen percent but by twenty twenty five so five years from now fifty four percent so one out of every two every other. Yeah half half of the people want to have. Rpa In practice and implementation at their various companies and that says a lot to the growth in the potential of that

AI Venice Kathleen Mulch United States Ronald Twenty Twenty North America Australia Eliana Asia Europe Melissa Alexa Scientist Africa
Intelligent Automation in the Public Sector

AI Today Podcast: Artificial Intelligence Insights, Experts, and Opinion

09:14 min | 3 years ago

Intelligent Automation in the Public Sector

"Need to combine technologies and approaches together in a seamless manner to can you share share with us some examples where and other approaches have been used together to help automate routine operations and really help increase it up that ladder of intelligent ignition question. Kathleen our software is built to work with just about any system and we have a lot of partners we built to work specifically alongside in fact we have an online store of prebuilt spots that organized the applications they are designed to work with like Microsoft Office. SAP Oracle for example. I would say one really cutting edge example of intelligent. RPA paired with a technology partner is automation anyways. I Q bots. Let's combined with data robot. Though this pairing works is let's take an example a company who may be submitting a claim to the government could be a contractor could be a beneficiary could be a medicare provider. Take your first step and automation anywhere. Digital worker are collects that submission and sorts the data into the highly organized flexible format Deccan step that data's fed into the data robot machine learning Latte form which is designed to automatically train the model or produce a prediction for example. The model might flag certain transaction is high risk potentially fraudulent three that prediction would be Ben. Fed back into the I q dot to take action on that information by doing whatever task is necessary for example Learning Special Investigations Unit to take a closer look the client the more transactions you run through the system. The more accurately detects fraud and saves taxpayer money and the government really needs to get better at preventing fraud. Did you know since two thousand four government has accumulated one point three trillion and improper payments. I like to see this as an example of how the bots are getting smarter every day which results in the human worker gaining more and more time to creative analytical Oughta work. They were generally higher to perform yeah. I think that's really intriguing. I think that's for us. The most intriguing being benefit of this technology that's being used in the public sector is that governments are supposed to serve the constituents and citizens and supposed to be affecting affecting a lot of very necessary things organization but of course we have systems that are very paper bound and document bound and people bound process bound and of course that does prevent these organizations comes from not just serving an increasingly larger community but doing broader things in a world that doesn't slow down at all those news all the Times news today. That's causing the markets to go crazy. Sorry things got a response so what are you seeing some of the most interesting use cases so far with governments adoption of our sort of like some of these interesting ways in in which RPA's helping in the public sector already several successful implementations have emerged one government health agency for instance tapped RPA to automate thirty thirty four processes that improve data quality over a hundred thousand records which equals thirteen thousand five hundred manual labor hours save per year bring up employees to focus on strategic tasks a couple of interesting things here I this agency is using bots on their back office systems which is a traditional use case as well as using them on frontline mission processes or one of their sub-organizations is using bots to identify linkages between older and new drugs drugs second item here is I point out. This customer ramped up to ninety five bought within five months of launch which seeks to their ability to scale quickly and realize it's near term benefits. Another customer of note is a legislative one who is deploying. RPA bots powered by artificial intelligence process hundreds of forms related. It's a judicial actions which are generated from emails online submissions backs missions and snail mail. You can imagine how much manual effort they have to do to sort all that together and put it in one cohesive place but bots are helping them do it much more simply and much more quickly. Yeah those are some really okay. Great use cases and you know every agency and department has their own journey and they're all at different stages so for agencies that are very new in this journey and are just just looking to get started with intelligent automation. What are some of the do's and don'ts and lessons learned that they should take into consideration. I would start with say begin with the end in mind. It's great to explore shallow end of the pool with a trial set a box but if you stall out and just a handful of bots that automate a simple task or two. It's really hard to call success so when you're thinking about scaling to hundreds or thousands of the industry leaders have done. You really need to keep three things in mind. I is a system easy enough for business users to deploy think about if each time you want to build a bottle even tweet one if the business user has to wait in a queue for a programmer progress us slows to a crawl the key scaling is a user friendly intuitive environment where business user can build her own boss automate tasks. She does every day every month. Every quarter issue is do you have a good governance structure to avoid bought sprawl decisions need to accommodate large numbers of Bots in order to achieve efficiencies as well as making sure that bots are believed allies danger is that without an enterprise view to programmers are likely to be building similar box in two different corners of a department wasting testing time and money third and this is really important for the government. Make sure you have a product that meets all the security standards required to operate safely on a government network. Nothing it'll get you in more trouble than to have a security violations and today we've had no hacks of any significance or of any time. That's that's great. That's really important you know because that's the last thing that I think people want to make sure that these systems are not safe and secure and make sure that you're you're using them effectively. You know we always say start small think big iterating often and so you know you're right. You don't want to just one or two bots to replace one or two two manual tasks while that's great and can save a little bit of time in the end. Is it really the looking for the efficiencies and improvements that you want yeah I think part tired of this thinking big starting small and thinking big is also thinking about that angle is that start with the end in mind and SORTA work towards that end and not think in terms of these additives which is absolutely true and you can think about that even broader to like we'll where people heading these cognitive technologies and with artificial intelligence which itself can be applied to a wide range of things so I would love to hear from you what you I believe the future of a is and in general and its application to corporations public sector agencies and beyond the former transportation department research and development official. I was lucky enough to see some cutting edge research around driverless cars and I'm really excited about when that comes to light. There's benefits in terms of safety productivity convenience environmental imagine a car that you can trust. Dr Itself to run to the store for milk or pick your kid up and soccer practice. What a huge time inconvenience savings. It'll help boost national productivity safety wise we have nearly forty thousand highway deaths every year and the vast majority order caused by human error mainly speeding and drinking but cell phones are not helping the matter expect these cars would be environmentally friendly so that should get environmentalists excited. Harking won't be an issue. We're making our way toward this with ways. I no longer really know which direction I'm going. I just blindly follow the voice commands and when the day comes that's what I can take a nap in the back seat. I won't even have to listen to that anymore. You know that's great. I'm really excited for autonomous cars as well. We because I don't love to try and so I think man. How could I be spending this twenty minutes that I'm driving here doing something else optimistic. We've we've made the commute on the beltway anytime soon. It's a dream optimistic that the twenty minutes well depends on where I'm going but yeah those were some really great. You know examples of what we have to. I look forward to in the future with an. Ai Enabled Future and actually we've talked about in AI enabled vision of the future and autonomous everything is one part of that vision and also for those of you who are our listeners we talk about this pattern with therapy and process automation intelligence automation is part of one of his seven patterns of Ai so we'll link that in our show now we talk about at that in what's called the autonomous pattern the sort of the goal of the autonomous pattern for our listeners that may not be familiar with our seven patterns to reduce the need for the human in the loop to basically basically make the thing happen that doesn't mean eliminate the human it just means. We're just the need for the human to basically be non-emissive eventually be right eventually but that's not that's sort of the pattern is is to basically build those systems that don't require the human in the loop so this fells into that how do we talk about this in terms of intelligent automation cognitive automation so definitely look through through our research for that and through other podcast that we have on this subject so Keith. You've been an amazing gas. You provided some really great insight into what's happening. Especially within public sector and you're amazing experience experience has been there done that and I guess still Glenn for punishment because you're still doing it so a Keith really want to thank you so much for joining us on this podcast. We really appreciate your

RPA Fraud AI Keith Microsoft Partner Learning Special Investigation Deccan Soccer Times Programmer Glenn Official Twenty Minutes Five Months Milk