Blending AI disciplines and human experts to build smart assistants of the future (sponsored by Intuit)





To unleash the full potential of AI, Intuit envisions a future that melds the best capabilities of machines and humans to deliver deeply personalized customer experiences, all on one secure platform.
Bharath Kadaba explores how the company is combining rules-based knowledge engineering with data-driven machine learning and natural language processing to build human-expert-in-the-loop AI systems of the future.
In financial services—where compliance is a key consideration and the margin of error is slim to none—this approach can give consumers accurate, optimized, and explainable personal finance guidance. This approach is equally pertinent to many other domains.
This session is sponsored by Intuit.

Bharath Kadaba
Intuit
Bharath Kadaba is the senior vice president and chief innovation officer at Intuit, and leads the Technology Futures Group. His organization is responsible for creating game-changing technology in support of Intuit’s mission to power prosperity for consumer, small business and self-employed customers. Bharath has served in a variety of executive leadership positions at Intuit; he’s been vice president and engineering fellow with responsibility for leading engineering teams that built innovative new technology for the company’s QuickBooks, TurboTax, and Mint product lines; he led advanced technology development as vice president for global ready offerings, and vice president for the Global Business Division, Product Development, respectively. Previously, Bharath was vice president of media engineering at Yahoo, where he led the development of a shared services platform to serve as the foundation for all media properties (news, finance, sports, games, etc.) and significantly expanded the US media product capabilities; and he was an executive with Siebel Systems, AristaSoft, and News Corp after spending 15 years at IBM and IBM’s TJ Watson Labs. Bharath earned a PhD in computer networks from the University of Hawaiʻi at Mānoa and a BSEE and master’s in computers and control from the Indian Institute of Science.
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