Deep Learning For the Future Enterprise
The initial wave of deep learning breakthroughs led to an explosion of exciting new applications based on superior solutions to problems in vision, speech and text. However, the initial solutions were largely focused on end user applications such as music recommendations and photo tagging, and the impact did not immediately translate to applications in Banking, Healthcare, Retail, and Manufacturing. There are multiple challenges that impede the effective application of deep learning to real world problems such as machine health monitoring, container stowage planning and healthcare recommendations. Insufficient and noisy data, compliance with privacy regulations, interpretability requirements on predictions, incorporation of domain knowledge during learning, contingency planning for model failure and an inflexible enterprise culture are some of the prominent obstacles that deep learning has to overcome for effective application to enterprise problems. Slowly but surely, companies are finding solutions to these problems and the impact of deep learning is now percolating to enterprises in many different sectors. As one of the worlds largest IT consulting firms, TCS has nurtured a dedicated team of deep learning researchers to provide solutions to these problems for use cases across sectors ranging from manufacturing and shipping to healthcare and finance.
Dr. Gautam Shroff is a Vice President and Chief Scientist in Tata Consultancy Services and heads TCS Research. He has published 90 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). 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. He completed his B.Tech degree in Electrical Engineering from IIT Kanpur in 1985, and Ph.D in Computer Science from Rensselaer Polytechnic Institute Troy, NY in 1990.