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AI Business TV sat down with Tractica's Research Director Aditya Kaul at the AI Summit San Francisco 2019 to discuss the AI investment forecast for 2025 and the use cases and trends and set to shape key enterprise verticals, in the years to come.
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Welcome to Addison's TV. We're here at the AI Summit San Francisco 2019 and we're very glad to have those today. I need to call Risa star exactly. How 00:05 you keeping very busy here this week Workshop. What are you been up to today? Then? 00:14 I have a good section in the morning. We had quite a few 00:23 companies talking about not what a i is defined as but basically how are companies are 00:33 vendors are going out implementing Solutions. And there are customers so it's all about getting your hands dirty and you know, implementing a 00:43
good friend that we've seen all the last you know for 5 years ago. We are now moving the space where 00:52 company is starting to move into the deployment implementation phase so I was really happy to 01:01 hear from lots of companies about how they're implementing 01:08 another Workshop tomorrow that we doing where we going to 01:16 talk about which are actually 01:26 seeing a lot of activity 1 second Leaf level of maturity in the solution. 01:35 You know, we can actually talk about render Solutions compare apples to apples in some cases Note Apple Store in 01:46
approaching from different angles 01:55 in 02:00 San Francisco. So we thought it would be good to talk about this way Foundation layer of 02:07 a within an Hardware from the 60s to the end of 02:16 a 02:25 session in the morning. 02:34 Track very closely and you know I can talk a little bit more about that. 02:46 At Remington Heights either directly or indirectly through AR application software 02:58 said to be 105 billion 03:03 Point 03:12 vs It software Revenue Services 03:22 cut it across like 30 different 03:26 vertical Market activity in 03:36
a bundling up you can call it and then there's all these other. You can call them Niche vertical markets which 03:45 are going to actually the long tail going to take up a very large proportion of my presentation Barbies two 03:54 different groups of vertical. One of the fat had the other is a long day. And I know they can go very true turn back 04:04 on Facebook and Amazon and consumers face. Define 04:11 lad with a i and they're kind of building a massive data centers. 04:20 We think are going to shape up in a similar way 04:24
to example Healthcare Automotive in a vertical region is another one. Another one is 04:34 business services are all the functions within an Enterprise. Like you know, what 04:44 love is business services 04:51 companies 04:57 for Enterprise. It companies specialist Enterprise solution providers Cloud providers. 05:08 We come in and Sakura wedding solutions. And where do you play Matt markets? What I talked about was the worst you can either play on the 05:20 dating site. You can play on the east side or you can play in the implementation side. So 05:30
that's 05:35 kind of the bottom line is that you have to be smart about 1 understanding this landscape understand. How do you use cases are spread across all the 05:45 way around. Where do you say 50 in? What are your key strengths, you know where you come from what your background and I'll see if you're up mighty 05:55 company essentially targets example, I talked about it company start getting Healthcare, 06:04 you know, that's an area where the laws of tradition ID systems already in place now, The scary movie with the eye. What can you add in their 06:13
business services? Another IT services companies. That's why I know who 06:22 essentially is. It's time to Target lot of the newer Mount vertical markets today looking at three example Automotive 06:32 infesting vertical. I think overall it's all about being smart about 06:39 how can you play store in terms of upcoming research kind of a big 06:49 pieces of all kind of reasonable doubt that you drink at the moment that I approached the verticalization of the 06:59 markets. And now what are you trying to do going forward is restarted after you report a business model. So what we've found is the clients that 07:09
that come to us days. The general consensus is that look real under Stanwood AI is a we understand how to 07:19 implement the law to the Frameworks that we can apply but the next question is, how do I start to 07:28 make money from it? How do I package my solution? What's my go to market strategy, right and an impact an area where there's not a lot of good 07:38 answers the basic model, which is used today the Centre of software licensing staff model traditional Subway Surfer 07:48
licensing approach, which has been around for many years and most AI companies today. Basically just using that model. Now the question is what else 07:58 can you do how to make me think of new ways of approaching it outside? 08:08 The new ways of thinking about the business model last night. So that's the one the other one is cloud cloud and data center. 08:21 Does a lot of activity from one the hyperscalers go to Google and Facebook driving in 08:32 Chardon, mostly private on Primus 08:38
companies like General Electric, you know Bank of America 08:46 100 companies are starting to think about how much should I invest in this data center infrastructure? And how 08:54 much of that infrastructure is going to run starting to see a lot of insurance login 09:04 server and infrastructure side have a lot of interest in finding out where this 09:10 is going. And so there's a lot more coming What you talkin food for the stake in the ground and have a report and it's actually answer some of some of 09:20
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