We’re in the golden age of data science and artificial intelligence. It’s estimated that more data has been created in the past two years than the previous 5,000 years of humanity. And while you may recognize that AI will be the backbone of all technology in the future, it can be hard to keep up with the speed of innovation and even harder to move your AI efforts from your product roadmaps into the market.
Entrusted with the rich financial data of 46 million customers, Intuit is in a unique position to take advantage of AI to help solve some of the biggest financial pain points for consumers and small businesses. Leveraging technology enablers like deep learning, natural language processing, automated reasoning, and more and combining those enablers with a delightful end-user experience and sophisticated UX, Intuit is using technology to help consumers and small businesses find more money, do less work, and have more confidence in their financial management.
Drawing on his experience at Intuit, Ashok Srivastava explains how to make your organization AI ready, determine the right AI applications for your business and products, and accelerate your AI efforts with speed and scale.
Ashok N. Srivastava is the senior vice president and chief data officer at Intuit, where 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—and in the process is hiring hundreds of people in machine learning, AI, and related areas at all levels. Ashok has extensive experience in research, development, and implementation of machine learning and optimization techniques on massive datasets and serves as an advisor in the area of big data analytics and strategic investments to companies including Trident Capital and MyBuys. Previously, Ashok was vice president of big data and artificial intelligence systems and the chief data scientist at Verizon, where his global team focused on building new revenue-generating products and services powered by big data and artificial intelligence; senior director at Blue Martini Software; and senior consultant at IBM. He is an adjunct professor in the Electrical Engineering Department at Stanford 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 won numerous awards, including the Distinguished Engineering Alumni Award, the NASA Exceptional Achievement Medal, the IBM Golden Circle Award, the Department of Education Merit Fellowship, and several fellowships from the University of Colorado. Ashok holds a PhD in electrical engineering from the University of Colorado at Boulder.
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