The AI Summit New York 2019
December 11 2019, New York, NY, United States
The AI Summit New York 2019
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Experts in AI: Mark Tabladillo, Cloud Solution Architect, Microsoft
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Our team of Data Scientists and Architects works with Microsoft's most strategic enterprise clients, global leading institutions, and high-tech startups to work toward digital transformation using intelligent technology through pilots and into production.

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Welcome to add as a TV here at the AI Summit New York or very pleased to be joined today by moths have the deal with the cat solution architect on 00:04 Microsoft. Welcome. How you doing? Great. It's wonderful. So it's great to be here in New York and so close to so much 00:12 energy and we're even so close to the Microsoft Office here. But as we seen and and the panel behind us, there's so many vendors here and so many 00:22 people involved and key leaders in this industry-leading and doing so many initiatives. So it's just a lot of great energy 00:30

congratulate you cuz you're just being shortlisted as AI Innovative the year 2019 announcement going to happen little later today. 00:37 What kind of LED you into the world of tank and specifically AI so I think my interest in a I started 00:46 early on Interest really in science and math and I just received that throughout my career through my doctorate. Georgia Tech which I'll call out my 00:56 school love being there and since then my career has been largely working with clients. And if that think there's one thought 01:06

leader that I could point to not early in my career. I was a man W Edwards Deming and he was a American statistician that 01:16 worked with the Japanese after World War II help rebuild their industry there many people have influence my career, but he was he was out there to 01:25 make a difference in Industry. He was there to help a nation rebuild and they honored him overtime by inviting him back many times over the years 01:34 not to get his wisdom. I got to meet him later in his life before he died and which was a treat for me and one of my dissertation 01:43

advisors was one of his aides. So here's a thought leader and in terms of my own career since then I've been involved with many Industries 01:53 and Company. In the United States and also around the world. And so I had a chance to work in a lot of interesting projects since then 02:03 what's AI projects that have you been spearheading annual in a row currently at 02:13 Microsoft interesting projects and I'll talk about team that recently went just in this last month to India and we went there to 02:22

work with one of our clients and we are sharing our new technology AI cognitive search. I have introduced the subject this way perhaps 02:32 search is the number one use of the internet. It might not be one app, but it's some it's a feature that we 02:42 find in many applications. We already know it Microsoft that it's one of our most popular AI offerings and it's been it's a 02:52 theme that a lot of people are building their AI Solutions around and of course Microsoft we have many AI products in categories of vision and speech 03:01

and so many categories, but when it comes down to the very human condition of looking for information that is such a 03:11 cross-cultural and widespread industry need that. We think it can translate well into a lot of business case is beyond just what we've 03:21 known in the past and we have you know, today people's experience with search is like searching in search engines, but people are searching for 03:30 information. They're looking for people are looking for Solutions it looking for resources and to help organizations build that capability is you 03:39

know, it's a very exciting thing. So in our trip to India, we had a team 10 coaches and I was among those coaches that was working with this 03:49 organization of other leaders to embed search or look for ways to add search to their Already existing capabilities 03:57 and that will be you know, one of the innovative ways working alongside with companies to build those Solutions is something that really energizes me 04:07 as a professional. I'm very interested in having people adopt their skill sets. So whatever 04:16

her creativity and Innovation people people are very creative and just giving them the tools and seen them being able to run 04:25 and run at full speed with these Technologies is to me a very exciting and rewarding experience 04:35 that 04:41 you're you're seeing still being being discussed as part of the Basin about currently. 04:53 Have a paradoxical response and on one hand people think AI is very difficult. But in 05:04 some areas, it's actually really easy and Microsoft's not alone in making AI technologies that are very simple for developers to use and get started. 05:14

And I I know this from having monitored several College hackathons this year. We had one at Georgia Tech and Georgia State 05:23 and students just within a few hours were able to get going very quickly. So it was a lot easier than they thought and on the other hand. Sometimes 05:33 people think it's very easy, and actually it's difficult and in some of the difficult topics. I might have to do a data quality or getting the right 05:42 data or putting datum in the correct form. So realigning perception with reality is often the conversation 05:51

that we have with with our customers and it's not the same. Name for the same to customers we get to customers for example in the financial services 06:01 business. And by the way, we've talked to a lot of them over here at the forge Lounge. They may have similar types of topics, 06:09 but then they might not have the same exact situation. So they might have slightly different use cases and personas. So it becomes a very 06:19 tailored and customized conversation and you know what it's what we would expect. We're in the area of customization and personalization. A lot of 06:28

people are looking to AI to create a much more personalized technology experience. So the organization's also going to find there's going to be 06:38 General patterns. They can follow but that last mile is going to be the creativity of their own leadership to customize the experience. 06:47 Unique cases of a case-by-case basis people are Never Getting different challenges in different classes in different ways are some examples of 07:05 a kind of major Roblox 07:15 possibly 07:18 considering aai. They do need to consider potential roadblocks. That might be out there and one of the area's I feel that it will be a challenge is 07:28

even inspired by book. I used my dissertation was called leadership challenge leadership generally is a topic but then more more recently and when I 07:38 work with with customers may I can be an individual activity? There's often many organizations in have that solo 07:47 data science or a eye specialist that is charged with leading a project but also its Also a team sport and 07:57 learning how to get the the right team behind what what a I can be what kind of team could that be that could be the data engineer the application 08:07

developer the data scientist the AI specialist the devops person who project manager so a coach and 08:16 involving all the team players and deciding on how far should the steam be do we have capacity to have six people for all those roles. Do those rolls 08:26 need to be bundled in one or two people it is it is a lot different from organizing Sports in and as many sports fans know 08:36 that's hard enough along Define rules. And on top of that in the business world people running several game place at the same time 08:45

every challenging time to be involved and I think even a good reason that many people need to be connected to communities and 08:55 Conferences such as AI Summit and continuing to go stay in the conversation find out how people are organizing 09:05 is about people leadership people to Define and got the deposit to today kind of 09:12 that kind of looking back at you. 09:22 Bean. I was mixed up with a guy. What kind of key Milestones have you seen with an AI that is right. 09:31 Well, I think a lot of people would point to the development of deep learning is really what it one of the Breakthrough mathematical developments 09:41

which has spurred on a lot of innovation and research and products and for Microsoft in a we have an entire Microsoft research with so many 09:49 dozens of data scientist in a i a scientist that have now Products made them available to the public from 09:58 Microsoft and so many other companies and and we're not alone but really the industry's saying unless look to open source as the basis. Let's have a 10:08 community discussion on what technology development should mean and what I'm so excited about is when you see we see the innovation in Aries likes 10:17

park and random Python and even in specific languages were deep learning has become Forefront those 10:27 all those Technologies together have been really has whispered on so much Innovation and quick to Market and then we see products just hitting the 10:36 market regularly every month. It seems there's new Innovations coming from the same companies and even from new companies people have a lot of new 10:45 ideas and the germinating a lot of new energy and the tools are out. They're both in terms of hardware and software. So this is actually really great 10:54

time. To be involved in a I I 11:04 was 11:06 going to be the next big thing in the AIG thing. I think maybe three or he's going to pick one that I think it's exciting just in terms of practical 11:17 things is more discussions about pipeline Marissa pipelines. I'm talking about technology to take data from the beginning to the end. What type of 11:26 Technologies are needed to do that. Why because people talk about being the other side bureaucracy red tape in the 11:35 technical field in data world to many organizations working pipelines to stream like that and make that go forward second area of interest, you know, 11:45

originally started life as an electrical engineer all involved in devices and asking for coming around on the importance of devices and what that 11:54 will M4ai so people are very interested. Now what we're calling the edge and what does a I mean at the edge maybe the disconnected Edge or the 12:04 continuously connected Edge. What does it mean for devices devices people use as consumers daily or also is organizations. 12:13 So, you know, that's a second area and then the third area I think that we are all talking about is ethics and 12:23

Microsoft made some statements and ethics. I got to work with some of the key teams in shaping our messaging on that topic and as we go 12:32 forward in a and I think even as what I've observed in working teams in Microsoft, it's not going to be one voice that's going to say, this is our 12:42 ethical position. There might be one representative that's going to express that but as in the conversations, I've been with an internal to Microsoft 12:51 and also with customers and it's going to expand to communities. It's Expand to users stakeholders. It's going to be very a communal. So 13:00

even people far beyond the technical level of knowledge of something like this conference very very interested in the ethical 13:10 conversations of how to use it responsibly. And and how are we good stewards of what we have 13:19 Banks Amy. 13:25

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