Amy TurnerHead of Digital Content at Informa Tech
About the talk
Being one of the world’s largest professional services firms, Deloitte is familiar with many ways to apply artificial intelligence in business.
To find out more about how the company approaches AI, we talked to Nitin Mittal, principal for Analytics and Cognitive at Deloitte, who won the AI Innovator of the Year award at the AI Summit New York in December.
In this interview, Mittal discusses what got him into tech, talks about the transformative potential of artificial intelligence, and describes some of the work being done in this space by his organization.
Welcome to add business TV here at the Altamont New York 2019. We're very pleased to have with us today. He's principle of cognitive analytic 00:05 Consulting. How are you doing today? I'm doing great. How about yourself? I'm very well. Thank you so much for joining us here at the anthem at New 00:14 York. Thank you for inviting me. How are you enjoying your time here for the summit and a frankly up the level of 00:21 Engagement the topics obviously and the content and actually been fantastic day. I invade of the 00:31
Year 2019 first time we've ever had this award go outside without heel Korean search. Congratulations. I want to ask you what the 00:41 heck in a I specifically I have always been passionate about your technology not so much about technology for the 00:51 sake of it, but more about the potential that it The potential it represents in terms of the change. It can foster the value that frankly a businesses 01:01 and Enterprises can drive out of it as well as set the societal impact of technology and the 01:11
point you lift that it's actually can represent in terms of how we progress as a civilization. That's the price if it's always going to be enough 01:21 interesting to me and when I got into this sherfield it was more about how do you apply technology? What do you do with it? How can it be? So the 01:30 first taken into account by organizations by stakeholders by us as a human civilization and where could we take it for the benefit 01:40 of not only the businesses that we are but for our communities at large that's kind of fun aspect. It's really fascinated me 01:50
represents the in my View kind of the next door quantumly it represents ascent. A way to it literally harness 01:58 not only their cognitive abilities that we have always had as a human species, but also start essentially comprehend learning 02:08 from the data that turned around us from the environment at large at taking into account how much of basically for the knowledge that we as an 02:17 individual may not be able to do a comprehend on our own but do you think Collective power of everything that is generated in and around us and bring 02:27
that to fusion and bring that too forward in a manner that actually sort of augment human cognitive abilities and that's the part that I'm truly 02:36 fascinated about the 02:44 business that we have around analytics and cognitive which is what I eat in a Deloitte Consulting. It's a large scalable business. Most of our Focus 02:54 tends to be Helping our clients in terms of what could they comprehend? What could they do and how best to basically Drive value from the underlying 03:04
data that they generate day-in-and-day-out HowToBasic need to write meaningful insights from that data by using frankly, meaning of the analytical 03:13 approaches that have been around but also no more and more applying machine learning algorithms. We help Tony basically put a program in place 03:22 comprehend the data manage and govern their theater apply machine learning algorithms to essentially to write those meaningful insights 03:31 at the oven in two what I would call the business decision-making fabric of that the particular organization to make impact. 03:41
So that's one aspect to it. The other aspect to it is Investments That We're actually making in a i specify platforms and 03:51 Solutions in AI assets that we're actually building. So that we essentially chordify the intellectual Capital that we as consultants have always 04:01 been known for codified into intellectual property so that we could take that to our plans as additive value that some another aspect that to our 04:10 profession the third one that I kind of mentioned is automating what we do so that a parts of our business how we 04:20
basically kind of service our clients how we deliver that business and how we basically going to bring officiants in introduced at the optimization to 04:30 apply can be automated to what we call digital RFD is wherein we are literally digitizing some of the interactions the work 04:38 activities and the job profiles that are necessary to deliver Valley to apply at the major Milestones of leveraging Nai 04:47 within the Enterprise. I would say this probably about 04:56 18 months back or so. A lot of the work that we were doing is helping clients comprehend a i l think that kind of thing threw up. What is the art of 05:06
the possible with AI imagination type of labs a building prototypes pilot, excetra 05:15 imagining thinking group and experimental today. A lot of the focus 05:21 is essentially kind of helping these flies comprehend everything from structured to semi-structured to unstructured to streaming a data 05:31 putting in an entire data ecosystem so that they could comprehend that comes from the internet of things that comes from basically connected Vehicles 05:40 connector Jones connected to appliances and the connected World At Large making sense of it determining what basically algorithms would actually be 05:50
appropriate which can be applied on this particular day. And then having the means and the ability to deploy AI platforms to take 06:00 advantage of the inside of a generator and consequently, I would say kind of the write exponential of value that are perhaps may not have been that 06:09 possible and certainly not possible at the scale and at the rapid spikers that we can essentially going to help our clients with that's a lot of the 06:19 work that we do work today. I'm looking at kind of defining a appliance roadmap. Then there's a lot of misconceptions around a I so she asked 06:28
Enterprise on their project for them. So frankly become an umbrella for 06:35 many things. If you can look into for half the strictest the definition of AI it is Little Italy computer system says starting to 06:45 mimic and augment human cognitive ability. But job like today in many of the businesses that we work with literally use the term 06:55 liberally to include everything from Big Data to computer vision to natural language processing like to language a generation frankly, even robotic 07:04
process automation or the advancements a piercing in the world of RPF two words are intelligent automation Under the Sea ubiquitous 07:14 search that we now call artificial intelligence. What I would like to going to say is that yes, it's become a cacio, but the 07:24 greatest promise. Does not necessarily lie in going and inventing a new basically of mathematical or statistical model 07:33 the promise that's not necessarily lie in essentially coding in new algorithm for determining in New Lex a machine learning or deep learning a 07:43
technique, but the greatest promise actually lie in the ability to stitch everything that is out there the ability to harness Big Data 07:53 the ability to basically develop digital agents by taking advantage of both natural language processing and natural language generation the ability to 08:03 use computer vision and the ability to stitch all that together so that you essentially building a solution that is impactful that can be 08:12 utilized by Appliance and Dubai the market at large and they actually see images results and they feel that this is actually making a difference that 08:22
is where the greatest promise of AI in my View kind of Lies. Looking to the Future then we took a lot of all kind of what's happening. Now, we're 08:31 going to be on the hype. So what are we going to be talking about it to ask them if it's 20 20, 20, 21 22, what you think is going to be the biggest 08:40 rented the van the industry what I do hope that we talked about is a philosophy that we have and that be passionately believe in which is called the 08:47 age of with which is essentially we are living in an age where we now have the means of humans working with intelligent machines and this is not about 08:57
frankly machines. However, we Define these machines for the software Bots whether they're automation routines with a machine learning algorithms 09:06 weather there. This is not about these machines Cottonport replacing the 09:16 need for humans to undertake certain jobs or to undertake certain activities. It is truly about harnessing the data that is being generated. Send 09:26 it out as we lead our lives and for these intelligent machines to truly augment the human fact that your capabilities augment The Human 09:36
Experience augment the human intuition that we have so that we literally are able to take advantage and leverage these machines 09:45 in a manner that we proceed with speed will be able to get it up in a manner that we are essentially take advantage of the 09:55 insights that can be generated from the data and business is able to kind of leprosy ahead in a competitive world with with 10:04 scale with speed with precision and with the right Physical Therapy information and that's our hope that essentially 10:14
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