Decoding Decision Intelligence: Frameworks and Technologies

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.