Presented By O’Reilly and Intel AI
Put AI to Work
April 29-30, 2018: Training
April 30-May 2, 2018: Tutorials & Conference
New York, NY

Using AI to solve complex economic problems

Ashok Srivastava (Intuit)
4:00pm–4:40pm Tuesday, May 1, 2018
AI in the Enterprise
Location: Grand Ballroom East
Average rating: **...
(2.50, 2 ratings)

Who is this presentation for?

  • Data scientists

Prerequisite knowledge

  • Familiarity with data science concepts and techniques

What you'll learn

  • Learn how Intuit is building an AI-enabled infrastructure for enterprise to solve economic problems


We are at a critical impasse in financial management. Today, only 1 in 20 30-year-olds can buy a house. (In 2004, it was 1 in 10.) Even more alarming, 44 percent of US households cannot come up with $400 for an emergency. However, AI-driven solutions, such as an AI flywheel for finance, can help solve complex economic problems like missed bill payments, insufficient capital, overinvestment in fixed assets, and more.

Entrusted with the rich financial data of 42 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. Ashok Srivastava discusses technology’s role in solving economic problems and details how Intuit is using its unrivaled financial dataset to power prosperity around the world. Leveraging technology enablers like deep learning, natural language processing, and automated reasoning 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.

Photo of Ashok Srivastava

Ashok Srivastava


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.