Ashok Srivastava

Ashok N. Srivastava, Ph.D. is the Senior Vice President and Chief Data Officer at Intuit. He is responsible for setting the vision and direction for large-scale machine learning and AI across the enterprise to help power prosperity across the world. He is hiring hundreds of people in machine learning, AI, and related areas at all levels. Previously, he was Vice President of Big Data and Artificial Intelligence Systems and the Chief Data Scientist at Verizon. His global team focuses on building new revenue-generating products and services powered by big data and artificial intelligence. He is an Adjunct Professor at Stanford in the Electrical Engineering Department and is the Editor-in-Chief of the AIAA Journal of Aerospace Information Systems. Ashok is a Fellow of the IEEE, the American Association for the Advancement of Science (AAAS), and the American Institute of Aeronautics and Astronautics (AIAA). He has extensive experience in research, development, and implementation of machine learning and optimization techniques on massive data sets. He has built successful research and development teams in these areas and serves as an advisor to numerous companies such as Trident Capital and MyBuys in the area of big data analytics and strategic investments. Ashok has a range of business experience including serving as Senior Director at Blue Martini Software and Senior Consultant at IBM. In these roles, he led engagements with numerous Fortune Global 500 companies including Bank of America, Saks 5th Avenue, Chevron, and LG Semiconductor. He has won numerous awards, including the Distinguished Engineering Alumni Award, the NASA Exceptional Achievement Medal, IBM Golden Circle Award, the Department of Education Merit Fellowship, and several fellowships from the University of Colorado. Ashok holds a Ph.D. in Electrical Engineering from the University of Colorado at Boulder. For more information see: ashoksrivastava.com

Posts by Ashok Srivastava

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AI for a better world

Ashok Srivastava draws upon his cross-industry experience to paint an encouraging picture of how AI can solve big problems.