Decoding Decision Intelligence: Frameworks and Technologies

Presented by

Eric Topham, The Data Analysis Bureau, Peter Bailis, Sisu Data, Pragyan Nayak, Hitachi, Bipin Chadha, CSAA

About this talk

In the quest to modernize the way they think about making decisions, organizations are turning to AI and automation wherever possible. AI models can help with creating predictions and labels, but to get deeper insights on the meaning behind the data, organizations are starting to embrace decision intelligence. Discover how businesses can use decision intelligence to create strong decision models for their processes and how to map actions to outcomes. Learn about the decision intelligence framework and hear from the experts on what DI can mean for your business. Viewers will hear more about: - The impact of the pandemic on the quality of decisions made, especially in the context of business - The emergence of decision intelligence - How DI differs from AI  - Eliminating errors and biases when making a decision - Decision intelligence for critical business moments - How data and analytics leaders can leverage DI to design, model, align, execute, monitor, and tune decision models and processes in the context of business outcomes and behavior Moderator: Eric Topham - CEO & Co-Founder, The Data Analysis Bureau Panelist: Peter Bailis - CEO at Sisu Data Panelist: Bipin Chadha - VP Data Science at CSAA Insurance Group Panelist: Pragyan Nayak - Chief Data Scientist at Hitachi Vantara Federal This episode is part of The Business Intelligence Report original series with Eric Topham, Co-Founder & Data Science Director at The Data Analysis Bureau. We welcome viewer participation and questions during this interactive panel session.

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Sisu enables organizations to operationalize all their data to empower everyone to make the best possible decisions. As the industry’s first decision intelligence engine, Sisu helps teams leverage their data to quickly understand what’s happening, why it’s happening, and how to take action. Based on years of research at Stanford University and proven at Microsoft and Facebook, the Sisu proprietary engine uses scalable machine learning to analyze cloud-scale data in real-time to surface relevant business insights in seconds. Innovative organizations worldwide — including Samsung, Wayfair, Mastercard, Gusto, and more — rely on Sisu to make the best decisions for their business. To learn more about Sisu, visit