| Title | : | Challenges in Engineering Scalable AI/ML solutions for Enterprise SaaS Applications |
| Speaker | : | Kannan Govindarajan (ServiceNow Inc.) |
| Details | : | Thu, 25 Jan, 2018 4:00 PM @ Aryabhatta Hall |
| Abstract: | : | AI/ML is pervasive these days, although most of the attention is being
garnered by consumer applications, enterprises have been using AI/ML
to improve their operations for a long time. The problem though is
these efforts are typically expensive and time consuming because you
have to hire consultants to implement it, and when you do, it is
difficult to change and only the largest organizations can afford
them. The good news is that the democratization of ML/AI that has
happened in the consumer world is beginning to happen in the
enterprise world. This however presents some unique challenges because
unlike Google or Facebook who have all the data they need within their
organization, these solutions have to work with each enterprise's data
that may not be uniform. In this talk, we will outline some of the
challenges for seamlessly incorporating AI/ML in SaaS applications so
that they can be deployed to multiple customers without any manual
effort, while delivering good performance. These challenges go well
beyond the challenges that non-AI SaaS applications have. Seamlessly
incorporating ML/AI into applications brings a whole host of other
challenges that custom ML/AI solutions do not have to address. For
example, providing non-expert end users with intuitive but effective
knobs to control the performance of the solution. We will explore some
of the problems, and some of the solutions and outline some of the
open problems that still need to be solved. Speaker Bio: Dr. Kannan Govindarajan is Director ML/AI Platform Engineering at ServiceNow Inc., a Global 2000 SaaS software company. Prior to that, he was co-founder of DxContinuum, a ML/AI company that was focused on empowering enterprises make better decisions and sold the company to ServiceNow in 2017. Prior to that, he spent more than 10 years at HP in a variety of roles including Director, Strategy and Planning, for HP's $27B Enterprise Services business, Chief Technologist for HP's outsourcing business, product marketing lead for HP's massively parallel data-warehousing platform, research manager at HP Labs where he started HPs services research group, and as architect of HP's pioneering web services product, E-Speak. Prior to joining HP, he was with Oracle, where he was responsible for parts of Oracle's Java infrastructure within the database. He holds a B.Tech. in computer science from the Indian Institute of Technology Madras, a masters in management from the MIT Sloan School of Management, and a doctorate in computer science from the State University of New York at Buffalo. This is the second talk of the TCS-IIT Madras Computer Science and Engineering Colloquium Series  |
