PRECISE Seminar: Enterprise AI for Business 4.0 - from Automation to Amplification

PRECISE Seminar: Enterprise AI for Business 4.0 - from Automation to Amplification
Thu, May 31, 2018 @ 12:00pm EDT
mLab
3330 Walnut Street
Levine Hall - Room 279
Philadelphia, Pennsylvania 19104
Speaker
Gautam Shroff
Vice President, Chief Scientist, and Head of Research
Tata Consultancy Services
Abstract

Every industry today is both impacted by and also seeking exploit AI technologies already widely used in the ‘new economy’. Our “Business 4.0” framework guides this ‘digital transformation’ of traditional enterprises by focusing on extreme personalization, developing ecosystems and embracing risk to drive exponential value: Enterprise AI developed with agility and deployed on the cloud form the critical technical enablers for Business 4.0.

In this talk I shall describe in how TCS Research is applying AI in traditional enterprises spanning the spectrum from automation to amplification, beginning with our hands-on experience of developing and deploying a deep-learning based semantic system for virtual assistance as well as knowledge synthesis within TCS, at scale, on our internal collaboration platform. The underlying framework is also being used to develop conversational systems for a variety of scenarios in banking and insurance.

Natural-language interfaces are also changing the way data is accessed and analyzed, with natural-language interaction replacing dashboards and even programming. Our deep- learning based platform for intelligently reading from images, be they scanned documents, handwritten notes, photographs, or even engineering drawings, is also an example of program synthesis where rules are crafted in natural language using examples.

Next I shall give some examples of how AI and IOT are transforming manufacturing, by using deep-learning for detecting, diagnosing and sometimes predicting faults, as well as how deep-reinforcement learning can be used to manage supply chains from source to shelf., across ecosystems. Finally, since risk and compliance forms a surprisingly large fraction of enterprise IT spend, we are using NLP and semantic modeling to automate large parts of this onerous exercise.

Last but not least, embracing risk is critical to deploying AI in the field, as I shall explain with some examples: it is this cultural transformation rather than technology deployment alone might be limiting the pace at with traditional enterprises ‘go digital’.

I’ll close with an overview of TCS Research, focusing on AI, and highlight some other research problems we are working on: From machines learning to negotiate contracts, or trade in inefficient markets with limited information; to how AI systems can be tested for safety and correctness. Going beyond IT alone, our work in life sciences includes discovering biological networks to aid in improved drug design or applying AI in the physical sciences to characterize manufacturing processes or even design new materials.

Speaker Bio

As Vice President and Chief Scientist in TCS, Dr. Shroff heads TCS Research reporting to the CTO of TCS. TCS Research.

Prior to joining TCS in 1998, Dr. Shroff had been on the faculty of the California Institute of Technology, Pasadena, USA (1990 - 91) and thereafter of the Department of Computer Science and Engineering at Indian Institute of Technology, Delhi, India (1991 - 1997). He has also held visiting positions at NASA Ames Research Center in Mountain View, CA, and at Argonne National Labs in Chicago. In 1994 he was conferred the ‘Young Scientist Award from the Indian Department of Atomic Energy. Dr. Shroff has published over 60 research papers in the areas of computational mathematics, parallel computation, distributed systems, software architecture, software engineering, big data, information fusion, virtual reality as well as artificial intelligence including machine learning, deep learning, Bayesian inference and natural language processing. He has written two books “Enterprise Cloud Computing” published by Cambridge University Press, UK, in October 2010, and “The Intelligent Web”, published by Oxford University Press, UK, in 2013 (paperback ed. 2015).

In addition to corporate research and writing, in 2012 Dr. Shroff offered a massive open online course, or MOOC, titled “Web Intelligence and Big Data” in his capacity as an adjunct professor at IIT Delhi and IIIT Delhi.

Dr. Shroff is an active member of ACM and ACM-India, is a member of the ACM India Council, was the founding chair of the ACM-India SIG on Knowledge Discovery from Data (IKDD), which is also the India chapter of ACM SIGKDD; and wass a member of the AI Task Force constituted in 2017 by the Ministry of Commerce & Industry in the Govt. of India.