 Boom, what's up everyone? Welcome to simulation. I'm your host Alan sake and we are on site at co-fest 2019 the Congress on the future of engineering software for our second annual partnership with them. We are very very excited We are now sitting down with the Microsoft industry experiences team and cloud and AI engineering We have Paul we have Air jank and we have Diego. Thank you for joining us on the show you three It's very nice to have you I'm very excited to talk to you guys about what you're working on I would love to know about your team. You have a crazy amount of experience Together somewhere around like 45 years or more of experience in this industry, which is nuts So teach us about your team while you're here at co-fest Thank you. So you make me feel old with the with our tenure So yeah, as you mentioned, so I lead the the industry experiences team at Microsoft We sit within engineering and really sort of our goal is we work across industries specifically in my team We look at of course manufacturing, which is why we're here at co-fest today But thanks to services insurance retail and healthcare also so we cover the sort of a broad gamut in my team And our goal is really very simple I mean number one we want to understand what we're seeing in terms of trends in industry and opportunity around digital transformation movement to the cloud and then the team charter is really focusing on our Microsoft partners and helping them with their move to the cloud So our end goal is if we think about customer problems and their opportunity and their journey around Transformation and disruption is to make sure we have a thriving partner ecosystem Effectively solving those problems at a point of mind and obviously in our case We're very much focused around the Microsoft cloud also known as Azure of course I'm helping make sure we onboard those partners in a good way To to our platform or cloud platform and making sure that they're really delivering value and efficiencies on our cloud to the end customers And you know specifically today and this week at co-fairs. We're super excited. We are platinum sponsors So it's great to be here a few snippets from the keynote as we kicked off yesterday It's really nice to hear some of the analyst feedback around sort of Microsoft and our journey and being sort of much more Really elevated in terms of our maturity around manufacturing So it was great feedback to hear about you know Kind of the respect that we're gaining in terms of our momentum around really be focused on around the industry verticals And in the case of co-fairs around manufacturing So excited to be a sponsor Excited to be in You know sort of part of co-fairs sort of the the non-conference if you will which is all about the conversations And that's certainly one of the goals of my team being here this week is how do we amass ourselves in industry? How do we amass ourselves with thought leaders and in manufacturing? How do we learn and how do we take those learnings back to so we can help in terms of our decision-making evolving our cloud platform and Fundamentally, you know our goal is to really build connections and be connected to community one one of the these crazy keys that you said in there was that there's So many different industries that you are onboarding to the Microsoft cloud to Azure And so I'm excited to have you teach us about that a little bit more Later Diego, you had a keynote yesterday. You were speaking about the future of manufacturing from the Microsoft view So go ahead and teach us about that. Okay. Yeah, so so as a preface that what we do is Underpol we have sub teams that focusing on specific industries And the idea is that is that we want to go out and interact with with industry to make sure that We have all the partners not just the established ones, but the up-and-coming and the promising one on our platform So that requires a significant amount of knowledge and an interaction with the industry We're not just cloud vendors. We also Understand the industry and and in our case here in in these couches manufacturing So yesterday I was talking about the the trends in manufacturing and also the Our areas of focus so we we we articulate our point of view on the on the industry as Basically for transformation pillars that are enabled by by the cloud and and and our platform so the first one is all about empowering the workforce and It's more about about delivering the right information to the workers in the factory floor Deliverings for example work instructions using using mixed reality and augmented reality to to help them execute Work instructions or quality control The second pillar is about Delivering new services Since now products are connected to the internet of things and to the cloud and ingesting data There is an opportunity for for manufacturers to deliver attached services like predictive maintenance Or optimization that that were not Possible before so the third the third pillar is all about Optimizing manufacturing operations So now that you have all these machines and and all this equipment connected to the internet of things It's not only about ingesting all this data, but it's analyzing it and providing insight to the people So in the factory floor so they can make decisions on time as opposed to to guessing or waiting for a decision And the fourth and final Peeler is all about a remodeling manufacturing. So that that speaks more about the the The virtually infinite compute power that you have in the cloud and the kind of things that you can do now With simulation generative design that you just weren't practical before So so we We establish we define those four pillars and some scenarios under the pillars and we tell partners Build solutions that align to them and because we are not a manufacturing software company. We're a platform company Granted there are many of our services in the platform that are particularly interesting to manufacturing like IOT machine learning A cognitive services, etc But at the end of the day we deliver the vision of manufacturing through partners to software vendors What what else was just so interesting when you're describing these four main pillars is that you have on on of on a very On a very like futuristic level you have a mixed reality that is happening inside of the workforce And this is a very major key to Hopefully what we see in the education system where we are learning in spatial intelligence In a way that is just helping us retain information and have our awareness expanded to new ways of thinking just much more quickly and So that's a huge part of this as well as predictive maintenance is very interesting all of the sensors that are happening inside on All of the machines and being able to it's kind of like similar to our biometrics Like we want to be able to predict pathology before it starts developing and we get sick So same thing with the machines inside of factories and then all of the data and then reimagining reimagining is such a crucial part of of Both children and adults lives and we can reimagine a better world We can take these incremental steps to figure out how to how to better get to that To that goal now all right with air jank so working with partners Technology trends in general solving solutions to problems moving to the cloud teach us about all of that I think that's the most exciting part of of my day-to-life for me it what matters is is always building something new and Working on the cloud especially on Microsoft's cloud and looking at the real problems people are talking About here in a conference like Kofas is very crucial so I can go back and work on the interesting Solutions that you can put together on the cloud given the fact that there are many different services that are available on Microsoft cloud What I'm doing in my daily life is that we're working really closely with Diego here My daily life is all about working with the partners that we have now or up-and-coming partners and looking there looking at Their solutions and how we can put it on The Microsoft cloud in the most effective way. I think the keyword here is the most effective because People can argue that at the end of the day. This is a solution moving parts moving technologies But we were really talking about a huge variety of different like services Choosing the right service and I'm putting it in the right configuration for solving that problem is usually the key So that's that's what I focus on. That's where I have the most fun So examples like when you look at that the typical Situations or typical scenarios in manufacturing and as Diego mentioned looking from the business point of view They all point to certain higher level technology problems things like we're talking about analyzing IOT data for instance That actually translates into At the highest level the first things that you will think how am I going to store the data? How am I going to process the data? But that is you double-click. There's going to be more some more more questions Like how am I going to secure the data? What are the things to? Make it secure so that only the people who are actually Entitled to see the details and the results can actually see it. How am I going to make it more performant? How am I going to? Make it high available so that whenever I need to access today that I want to make sure that they are there So all of those problems are Very interesting and fun problems to solve Yeah, as you teach us about data It also reminds me about all of the the conversations that we've had with you know These security leaders at IBM and these other companies where they're explaining to us this you know These concentric circles of security that they put up to to make sure the data secure But then also like you said, how do you store it? How do you query it? How do you analyze it? How do you make it most? Most relatable to what you're actually working on that is a very very important process This is it is it okay to potentially say that Part of what you do when you work with the partners is you identify What they what they what they need and then you pair them together with your cloud solutions In a way you can you can say it that way Because if you look at the platform As Diego mentioned before we're a platform company We provide sub services that can solve or building blocks that can solve problems And when you look at the building blocks You can see it both at the variety and also variety in terms of the capabilities But also variety in terms of the abstraction level Let's let's pick up this example of the abstraction level case for instance Very typical IOT problem and you look at IOT situation on the cloud is data ingestion Data ingestion means that there needs to be an endpoint that your data devices are sending the data to And you need to capture it in a way that you don't lose the messages But also put them in order etc. And make sure that that that's performant At the very low level low level what you can do is that you can choose to have a set of virtual machines with services that are public or that are open source like like Kafka or like flink and then you can install them there or You can choose to have a higher level abstraction service That's provided by Microsoft cloud, which is IOT hub. So my daily work made a little life again is Going and looking at the partner Have the discussion to make sure that visa because our our trade is all about Trade-offs right so you may choose to have You may choose to use this service versus that service But there's also tons of other things that you should think about and at the end of the day Your trade-off should be at a point that it's optimum and it's the customized thing for that team So just technology by itself really doesn't mean a lot it should also come forward to the team and I guess that's where we bring the experience a Echo at the table together with Diego and rest of the team so that we can help to partner in the best way when you speak about the variability in both the capabilities and the abstraction level that Really does explain the complexity of what you're dealing with and how to properly get people the solutions They need also you spoke about data ingestion and and this this this term is very interesting because you think about all of the Data that's coming from the IOT world and then how to actually be able to you know Make sense of that data and make the actions that you need in order to save the organization money and all these types of Of very important things now Paul We have a lot of things happening at Microsoft This is one of the teams that you're working with now does your team now What else is happening at Microsoft at the high level? That's a pretty broad question So I mean of course at the core of if kind of your Microsoft and all transformation is cloud So you know cloud is at the the central of all future So I'll kind of talk to within my pair view my remit sort of what what's happening So in number one I think one of the interesting things is you know if you go back a few years We were thought thinking in terms of disrupting as Microsoft ourselves and so you know obviously over Historically, we've been known as a company around things like windows and Office and so on so forth and then forward-looking obviously we've transformed to moving ourselves thinking about business models and transformation to the cloud So that's really super interesting is is taking those landings that we've had to really sort of internally disrupt And so when we're having conversations with customers and partners about that conversation around transformation disruption We can be sort of genuine in that dialogue and we can share our landings. That's number one I spend a lot of time doing that number two, of course The big thing that I would say in all transformation beyond obviously building our cloud platform Microsoft Azure is Really thinking about pivoting to industry So again as we think about that that transformation as a company before you know We talk about ourselves as the the you know the technology platform Company, but of course we've had to amass ourselves and build much more knowledge around the industry themselves. So You know, we've always had sort of externally focused roles around industry But even internally, you know as the name implies with my team industry experiences And we sit within engineering within cloud engineering. We even have built that that's causation there So that is is helping us really build that Have much more of a meaningful conversation with industry because we have thought leaders and people who have come from industry So that helps us not only in sort of external facing activities around sort of go-to-market and sales Which we've historically done but also internally as we're building out our cloud platform having that understanding of what industry needs And being able to prioritize capabilities as we build out the cloud platform has been a very pivotal change for us So that's kind of a second thing and third I think with As we've kind of look ahead just across the company, you know and carrying on this theme of digital transformation I think having real experiences now so around the you know Our cloud platform has matured. So I actually started out in cloud in 2005 talking to analysts about this thing called cloud I'm trying to convince them that it was the future Fast-forward to my day job now is talking to a lot of you know this thing called the digital transformation officer saying you know Hey, if you don't have a transformation strategy, you know, you better think about it pretty quickly And so, you know that that whole being able to really be floyd-looking and having dialogues With customers now and partners around that move to the cloud having the maturity of our cloud platform But also having some really really significant wins in the marketplace now that we can reference So my point is cloud is not necessarily new anymore It's now that we need people to kind of play catch up and we need to engage with these digital transformation officers And we need to get out which is a big part of my role get out into industry and share all landings Share knowledge about the platform and how cloud and cloud technologies can help in that transformation So I encourage people to think very very carefully about Understanding that you know, it's important to think about transformation It's important to think about cloud But also take the landings from others because there is lots lots of great across industries lots of great landings So I you know, I talk a lot about people who it could be they're looking to transform that business to building our engineering Organizations to building on the cloud Fundamentally take advice bring an experienced leaders that can help in that, you know And that might be people that are full-time on staff It might be taking external consult and of course closing the loop and looking back at Microsoft We are a partnering organization. So, you know, there's organizations like myself and we have many many organizations across segmentations of customers and partners and and kind of roles and responsibilities where our goal is to really build that connection I mean historically we we are the cloud platform company, but we are a partner and company And so for us to be successful our goal if we think about digital transformation and cloud is how do we kind of really raise the Watermark so how do we make it much easier and simple to take away the complexities of building on cloud? You know security compliance regulations and so on that's all hard stuff that we've built over time, you know today We have, you know, 50 for regions As we think about cloud we have 70 plus compliance Certifications these these are all built over time across industry So the point I'm making is we're trying to abstract away some of the the hard things so that then our customers and partners can really Focus on high value IP focus on their competency get up and building on the cloud super quick Leverage the capabilities that we're providing on the cloud. So I think that's as I think about sort of pulling all together You know myself and many of us at Microsoft are all about how do we how do we engage in industry? How do we help our customers and partners? How do we continue to take consult to make sure we're delivering value in our cloud platform? There is is really sort of on point and needed and how do we share our landings? And also let's say the takeaway is this thing called cloud isn't necessarily new now So there are lots of great experiences so go take console go go take landings to set your future projects up for success If I may add Another answer to your question and what is exciting that's happening on the Microsoft Microsoft world and put a spin on the Manufacturing industry so as Paul mentioned It's all about increasing the level of abstraction when you're providing services and one example and also the partnerships So one example of Microsoft's partnership in the manufacturing world is the partnership with OPC foundation Microsoft OPC foundation, that's yes, so OPC has been around for quite some time It's key for a lot of manufacturing Organizations, it's all about connecting the devices and machines in a secure way performance way etc. And then over the years it Morphed into or the architecture morphed into the new version called OPC UA and One key example here is that Microsoft is the let me let me try to put it English is still my second language So I'm still working on it. So let me put it in a way So Microsoft is the organization a single organization that has got the largest Or biggest number of lines contributions in open source on github With their reference implementation showing how you can implement OPC UA services. So if you go to OPC UA repo on github what you're going to see is that Contributions by Microsoft on examples how we can put together an OPC service different different OPC different components on OPC UA and one of the recent announcements we had during the Hanover MSA International last last week was that two additional OPC UA services that are that that are that can be used in connected factory IOT Solution one is OPC UA twin service and the other is OPC UA waltz service So and again if if you just go back to the main themes here Increasing the level of abstraction. So the services can be used With less effort. So which basically democratize democratizes the whole access to technology piece And also the second part is partnership the strong partnership between OPC foundation and Microsoft also entailed other partnerships like Open manufacturing platform, which was also announced last week between BMW group and Microsoft The words that you're using are interesting. So you increase the level of Abstraction and then that does that does that kind of make the technology a little bit more of Of a black box at times though when when people are trying to or potentially use it But then that's potentially your role as partners to make it less of a black box for people to understand That's I love that you actually catch caught on that because that was that's that's very typical way of you know Like thinking but if you just look at the whole computing Industry or what we have been doing in the past when I just like I need to admit I've been around for 25 plus years doing computers and my first program was on the punch cards And I did assembly level programming. I did programming on the sea Using the sea language on the Unix kernel, etc The those don't go away The whole point here is that by just providing higher level abstractions You're letting more people to access technology and do cool stuff But at the same time if you want to double click and getting get into the details, it is still available, right? So so hence it was like the discussion about IOT hub versus installing Kafka on VMs You still have the capability for putting together your own service that runs on a different Deployment surface on the cloud which accepts Http connections and then you can still deal with all of the nitty-gritty details. It's still available. However If your staff is not really capable of doing that or they don't have The they are they might be capable, but they may not have the time Then your choice is going to go for a higher level service Take advantage of that so that you don't have to think about the plumbing and then build new capabilities on top Okay, so so you can always double click in to look at the plumbing This is this is a good way of explaining it. Okay, so I like this a lot Okay, and then now I want you guys to walk us through what it's what it's like for Industry to use the the Microsoft cloud. I can't believe it like yeah 15 years ago. It just seems like It seems like it just what came so quick that now everyone's doing all these different cloud computing technologies and onboarding industry into cloud computing and And sometimes it feels like You know, when is this gonna come online for like biotechnology, which is a massive Industry and and how will it come online for that because iot seems like it's the big one right now so Walk us through what it's like to have an industry That gets on boarded with Microsoft because i'm interested in how this works. So when I when I sign up I have a certain amount of Like you were explaining either data or manufacturing. Maybe I have robotics. Maybe I have um anything in that needs to connect to your cloud for um I'm paying you guys Monthly for you to help me with my data with the an analysis of the data With understanding like you were explaining earlier with the With predictive maintenance all these types of things that are helping me save money So you're even trying to then take something like what is normally A cost of paying you monthly, but actually you're saving the company money by giving them The decreases in cost of predictive maintenance and things like that. So can you walk us through a couple like industry? Let me back up a little in Very simply Simplistically put Going to the cloud Means basically using somebody else's data center in this case asher, right? Of course that leaves a lot of the complexity and and The idea was originally that if you were a manufacturing company and you had uh, you have software Running in your data centers in your location. They could be backend systems pln systems Whatever manufacturing execution systems that now with the cloud you have the option of of of running it in somebody else's data center So so the first instinct of everybody was what we call lift and shift Which is to take these applications and instead of running them in in that machine in my in my location run it on in Microsoft data center So so that was not now the the Of course, I mean the first thing is that you don't have to worry about the the physical machines and the physical space and And updating the machines and dealing with machines that inevitably break down You for you you are outsourcing that to Microsoft, right? And then there's the Kepax versus OPEX right So so even for tax purposes is Yeah, I'll let me Uh, so so the the and and also there is the the the concept that you don't have to you don't have to provision Hardware for for your peak you you can scale and it's flexible, right? If uh one year you need you have more projects or more production You just ramp up more machines and then you ramp them down. So so it's the elasticity, right? That and you're you're Essentially taking advantages of uh economies of scale, right? We we buy machines by the bulk and and we we operate them in in very efficient environments. So so you You pay less for that, right? So so there is that so So that's that's the the first move was okay. Let's move our stuff to to to a cloud, right now more and more The the independent software vendors are developing cloud native solutions, right? So so that brings that brings a whole new paradigm It it's that's enable what we call software as a service So so that's software that not only does it run in the cloud But basically it's based on subscription you pay you pay a subscription Think the the the most the easiest one to recognize is office 365, right? You've probably noticed that you cannot really buy The the dvd of office 365 anymore you subscribe to it So that's been enabled in in in a big part by the cloud So the the combination of of short of sourcing your your data centers and your hardware and And and also enabling new business models where you're actually subscribing to software instead of buying the license That's what manufacturing companies are are And companies of in all industries are are evolving into So you want to talk about taxes? This is the right time right now. I'm not going to talk about taxes. It's it's not a fun discussion Yes, because op ex versus cap ex discussion is actually interesting and also planning So it's traditionally when you looked at any typical data center for an enterprise company It's been done in cycles and the cycles are not in months, but years And what the it departments have been doing is that they're always planning for the peak Which means that it's inevitable that you're going to have unused capacity In your data center and you'll be probably paying a lot for just making sure that Your business continues running. However, um with the Introducing introducing introducing the cloud environments What you now you can do is that you can basically Use resources and I would like to underline the concept of resource, but not the Different units like virtual machines resource is a key thing here resource means it can be Networking it can be compute in terms of virtual machines. It can be compute in terms of serverless Serverless environments, so you don't really think about the server or the virtual machine All you really think about is this is the function. I want to run This is the resources it will need in terms of cpu network memory And also higher level services like I don't really care about this is a vm. This is Function or whatnot what I care about is I want to process the data in the Streaming data in a way that I want to apply a sequel like query language on the streaming data and I that's all I want to all I want to do In order so just to be able to or just looking at the capability of provisioning such as resource Where you can basically Apply a sequel like query on a streaming data Is actually pretty quite profound because there's no equal into it on the capex world Other than just buying large machines Yeah, I'll add a few points and kind of just I think distill sort of some of the fundamentals So I think you know there's cloud there's no views word and in some respects and but if I broke it down It's a sort of from a microsoft perspective. Of course, you know people historically using things like one drive So obviously that's you think of cloud storage Um, of course office 365 there's obviously, you know, kind of thinking about subscription motion of using Office products in the cloud and then of course we have microsoft as your room So some of the fundamental things I think to learn that you think about it and and this sort of probably Lends itself to the way sort of organizations or companies or depending on the persona you are think about cloud So if you're say in it in a company one of the first things you'll think about is potentially looking at data So ha you know as Diego mentioned a little earlier on thinking about lift and shift So looking at you know, you have these things called virtual machines and data in the cloud and so on that you can use So that's one of the most fundamental primitive things you you can do and The reason for bringing it up is you know, that's kind of people generally labor on the point of thinking of cloud is Okay, I can move my data to the cloud That's kind of one of the things and it's a very fundamental it infrastructure type play and that's good And data becomes a commodity and you think about price one The other thing just before I talk about the types of motions across cloud is to To be really clear of the benefits, right? So when you think about cloud number one, you're moving to a page You go model so you're not per se moving to a subscription model You're using to a pay for what you use model, right? So that that's you know, really transformational and fundamental So if you think about that model and then the capabilities of being able to have things like virtual machines that you provision Think about it You have your pc or your service today in your data centers and be able to say in a pay for what you use model You're able to provision hardware that you can run in the cloud of you know defining things like cpu's data and so on So this is where people need to now sort of understand. It's not just I'm moving data to the cloud It's now I have computing power in the cloud and then the third piece is we of course provide native services We have 100 plus services in cloud So they're all enabling services. It could be thing everything from driving workflows to Even thinking about things like data and analytics and that's again part of our goal when we talk about being able to Up-level capabilities is to look at industry and needs and provide capabilities of cloud. So Then if you think about that in in your mode of operation and the personas It might be i'm the it guy that says, okay I'm moving my my core infrastructure my data to the cloud. Great. You have that model It might be your persona as you're a developer. So I'm building on the cloud So instead of thinking about and I'll introduce some terminologies now So instead of thinking about infrastructure as a service that lift and shift model where I'm just looking at pure sort of You know capabilities of the cloud I'm thinking about building on the cloud and this is where we have a term called platform as a service So this is where you're now leveraging cloud capabilities as a developer building on the cloud And then releasing your your capabilities to be consumed Right. So so in the infrastructure as a service model Really you're responsible for those sets of capabilities for those virtual machines You're provisioning your responsible things like upgrades and so on so forth You have that manageability kind of admin kind of requirements in platform as a service That's where those requirements Now enable you if I looked at the developer persona to be able to build on the cloud But that we we as Microsoft take away the management and the maintainability of the hardware that you're building on the services that you use And then the third scenario is software as a service. This is consuming services This is a little as you think about things like office 365 So I think as people, you know, I talk a lot about transformation I talk a lot about cloud and people are at different stages You know, I think people need to evolve and understand that cloud is not just data storage. It's not just one drive It's not just office 365. It's a paradigm shift. It's a set of capabilities It's thinking about computing power in the cloud and depending on your your persona You're going to think about it very differently and then picking up on asian's perspective on that sort of capital expenditure versus op-ex Imagine you're the cio. You're the cio of the company that's acquiring companies Well, number one, it's hard enough to look at a five-year amateurization of saying here's my buying And then what does that amateurization look like on the hardware? Imagine you're acquiring companies then that cio now has pressure to say I don't know tomorrow which net new companies i'm buying And then when I do that that my plan my five-year plan on capital expenditure and hardware now Is going to be very very different Well, imagine a world we're in the cloud You don't have to do that forward planning in a pay-as-you-go model You can provision that infrastructure on demand for what you need That's where the magic starts to come in. This is this is now You have almost infinite scale you pay for what you use you can scale up scale down And it makes that that planning cycle much much much easier And then it flips that capex in that op-ex model So just again just just kind of really wanting to land the point because it's important I feel for us to educate the market around what cloud really is beyond thinking about Drop locks or one drive or data to it's actually much much more than that Yeah, that was such a good lesson. I that was a really good one So I'm happy that you three broke it down like that the One of the first really profound ways of shifting was this this mentality Of like elasticity. I really like that word a lot So then the the the industries get to to to pay for what they use And they can really like you said when they have big periods of increasing their compute And this is a major part of the future as well It seems as though just cloud computing in general and what is being used with You said there's a hundred plus services that you offer in the cloud So, you know, then the question is asked Well, what are the services that you provide versus what other cloud computes provide? So then now what are your proprietary algorithms that you help industry with? And so then who's getting into the the quantum computing world who's going to be offering that as a service? These are all very interesting questions that that that we like to That we like to ask and get into into that we like to get into detail With Um, can you guys speak a little bit about the what it looks like, you know with 15 years now of of getting industry Involved in cloud computing and then what does these next 15 years potentially look like for All of the different offerings that that cloud computing organizations are are going to it seems like quantum computing's in there It seems like trying to use Um, potentially blockchain technologies in order to make a decentralized version of of of of the digital ledgers for people to To be able to use what do you guys think about that this next sort of period of time Um, so let me I think there's a couple of questions in there and so one was sort of the parity with the cloud vendors So I guess I'll answer the question this way I mean, you know kind of the market is the market and everyone can kind of take a look at sort of market share And what that looks like In terms of sort of services and capabilities This goes back to that fundamental paradigm change that we talked about that we had as a company So what I feel good about with the microsoft is your cloud and when we think about capabilities and services Of course, we're always looking left to right in terms of what other cloud preventers are providing You can that's kind of a given in common business sense But more importantly we of course look very closely and work with our community So for example being here at co-thes today, so You know when we think about delivering capabilities in the cloud and when we think about our planning That's not done in isolation or an ivory tower There's a lot of you know really Working closely with our customers and partners and being involved And then being part of our planning cycle. So With all of that my point is our goal and I think we do a really really nice job of this is that We stay connected to understand You hear things about you know minimal viable product and minimal viable capabilities and so on and continuous integration and continuous delivery We do that very very well And we've actually shifted that over the past few years in terms of the way we deliver software And of course, you know a lot of that was driven through how we deliver our cloud platform So I feel good about our feedback loop We have with the community and how we prioritize the capabilities we deliver And then I think that's also reflected in when you go look at things like You know a good location if people want to look at some some Lighthouse wins who's go to enterprise microsoft.com? You'll see some of the customer stories of customers building on the microsoft as your cloud So I feel good about that to sort of answer your question and we continually look to evolve and see What are the set of capabilities we need to deliver that are helping really helping our customers and partners solve those problems In terms of forward-looking it's kind of always a fun kind of question of what's next Um, you know, sometimes it's good to look back to say what's next So, you know, certainly things that are point of mind If I think about the three things and I talked about this yesterday cloud data and ai are sort of things that are point of mind That obviously are pivotal at the moment that are sort of driving transformation Um, so if I look at sort of the here and now and forward, which is sort of I think the evolution of some of those technologies You know, we're just going to continue to evolve cloud and that's going to continue to grow and you'll see more services and so on And expansion number one Of course artificial intelligence and augmented reality is a hot topic Um, I think the the the big thing though is with cloud and capabilities and price point That's number one, but with the advancements and things like algorithms around artificial intelligence That's opening up a new generation of just capabilities there So I think you're going to see much much more on artificial intelligence And it's probably one of the most talked about things across all the industries I work on in terms of You know everything from you know thinking about anomaly detection to Personalization, you know and so on so forth. I mean there's lots and lots of great things even Thinking from a development point of view. How do we use artificial intelligence to actually generate software? So there's some really really cool interesting things happening You know that that are going beyond sort of phd and science projects to reality And I think you have this nice coming together this intersection of technology and algorithms and capabilities capabilities that's making this a reality Uh, you talk about quantum computing, of course, you know, we've made announcements around that It's obviously the next big thing and if you kind of lord look at that that's going to be super exciting and we have Obviously we're working with some of the world's renowned leaders on that of what that looks like So that's an interesting one to track Blockchain you also mentioned you'd hit and all the the favorite topics at the moment My belief there is it's it's super interesting As I talked about in the keynote yesterday the key thing there is going to be the use cases You know, there's been a lot of confusion between cryptocurrency and blockchain and so that I think is Not being good for driving forward momentum But I think that those the muddying of the waters have cleared around things like blockchain now And so there's a lot of great work across industries with consortiums that have Really sort of thought leaders in the industry is thinking through what's the set of problems where this technology might be be useful So I think that's really really really really interesting I think robotics and augmented reality is super interesting as well So, you know kind of blaring the lines of the two Yeah, what I would add to that is that one of the things that we're very keen on when it comes to kind of what's coming next in manufacturing and and technology is is focusing on the worker and And and this is not just because it's nice to say this because it's the right thing to do from the societal point of view It's also because it makes sense. I mean automation And uh machine learning and all those cool technologies work best when they augment the human powers So it's about working with automation along with automation instead of automation replacing the human being So we get sometimes too excited about technology and we want to automate anything and and within that AI is magic And and now we are we are sobering up a little bit and and we are seeing very tangible Use cases with machine learning and artificial intelligence and robotics and all that Where they're actually saving real dollars And and we we like a lot those applications where Where they're incorporating the the human and they're getting the best of both worlds if you try to just ignore it I mean It's not only from the point of view of jobs and and and skills, which is a very important point It's just because it makes more sense to augment the the human powers and rather than to try to replace them with with technology So in that regard, I think the best Um best indication indicator of the future is always the past Right, so looking at the computing story. It's all about it has always been about access the capacity And also, uh, the speed so when the computers were started It was basically in this huge room with one single computer probably a few Um operators and the only interface was a bunch of papers, right? Just look at how it changed over the past The access to it Start to increase the speeds the data get transferred continue to continue to increase The excess the accessibility of that start to again continue to increase What I what we will see I think is that we're going to have a lot of more a lot more people And things that are connected because the highway the information highway is much broader And also with the kip with the capacity increased capacity on The overall computing platforms You mentioned quantum computing. That's one of the other things that it's all about How fast am I going to process the data and run the algorithm so that I can do a good thing? And it goes back to uh, Diego's point again that the One thing that we're of course going to be seeing in the future is that I don't know where those numbers come from but that The number of jobs lost to automation Versus the new jobs that are going to be created by automation is some crazy numbers Elimination of jobs is a displacement. Yeah, exactly. It was just like well Is the number like 133 million new jobs because of the new technology or something like that? It's it's it's fascinating and the way that people access to technology the way that we see things going on going forward is just Me being the ultimate geek. I cannot be more excited about it So many good things there as well, um, I I'm totally in agreeance that I think a lot of the Conversations that are happening around a job loss I think is very important to realize that it takes so many designers and engineers and cloud computing techs to be able to Piece together the new age that's being put together But how do we retrain the the millions of jobs that are that are in the um, the driving and the and the Retail and service industry. How do they get retrained into these positions is a very Difficult thing to to fit to figure out. There's so many other things that you guys talked about in there The three words cloud data and ai and where where we're going with that. I really appreciate it I didn't get to touch on this but when you explained a platform as a service It's very interesting to think about someone being able to take their own proprietary Compute putting it up on your cloud and then offering that to other people That's a whole new you're acting as like a marketplace as well For people to put up their own stores in the cloud basically for people to access that's that's very interesting and then of course on the on the um on the actual augmenting Work side of things. This is very key. You can actually save real dollars by By augmenting work instead of replacing it and all these new jobs that are opening up as as we said And then just on the on the on the decentralization side of things I also am very fascinated by if as we go into the computing The quantum computing cloud world is are we going to see companies like microsoft? Like google that are at the forefront of these industries. Are we going to have silos of cloud computing? Are we going to open up the algorithms for? For going across these silos for people to use Do you guys have any last thoughts about you know about that little bit? So, I mean in terms of kind of the algorithms and opening up I mean, I think that's already there in today and I think as yank. Yeah, absolutely Yeah, and we'll kind of pass it along And so I mean, I think that's why you're seeing Such a thriving ecosystem around artificial intelligence is the sharing of the algorithms and that people can can leverage that um, and I think as yank touched upon it earlier on as well as that You know, we are the largest contributor to open source that but I'll pass along and we can kind of share some thoughts on that Yes, yes, and The acquisition of github by microsoft is actually a very interesting Indicator of that. So Microsoft's culture has been changing. Yes, and it's all been changing towards being more open providing access to The Those technologies that were not accessible before so another example here is that It's a first of all just full full disclosure. I'm not a lawyer, right? So what I'm going to tell is about some law related law related related stuff But it's actually very important for the startups and for new businesses Um, microsoft has a new service called, uh, azure ip protection So this is all about an ip just pretty much like any other acronym It does not mean that it's internet protocol. It's intellectual property. It's all about Microsoft opening up Patents that are really important and key for the technology to thrive And letting the use of those patents available Microsoft also expanded ip protection services to the startups which allows the startups to Not to be afraid of the there. So there's an interesting term for that and I love it. It's not patent trolls It's non practicing entities which are equivalent by the way So those people those companies who don't know who who just happen to have ownership of a patent But not necessarily producing anything on top of that. So they're not practicing anything using that patent this That setup actually may prevent a lot of up and coming startups and businesses that can solve new problems To just hold back because they're afraid of being sued by those entities And and and they cannot go forward for forward with interesting solutions Just because of the legal problems. So those two things the ip protection and microsoft opening up those patents are actually amazing contributions to the community Who want to do uh additional work on top of the existing uh intellectual property? That is that is it. Thank you so much for joining us Diego or jake paul. Thank you so much. This has been fascinating. I feel like I have been more really well More well informed now about what's happening in cloud and hopefully for everyone that's tuning in as well We greatly appreciate you tuning in and give us your thoughts in the comments below about everything that was described about microsoft's cloud Computing azure and more go share it with other people. We'd love to hear The more conversations happening around the world about this up and coming technology huge shout out to cofess cofess's links are below as well And go and build the future everyone manifest your dreams into the world support the artists and entrepreneurs that you believe in our links Are below as well. Thanks everyone for tuning in and we will see you soon