Ravi Bapna: Professor of Business Analytics, University of Minnesota
Summary
Drawing from his rich background in data-driven decision-making, he shares real-world stories that show how AI can drive positive change — from predicting housing evictions to improving healthcare outcomes. Bapna underscores the need to grasp AI’s complexities, urges businesses to use data more effectively, and highlights AI’s potential to reduce, rather than reinforce, societal biases. His talk is a powerful call for organizations to adopt AI with care and intention, ensuring it contributes to human well-being.
Drawing from his rich background in data-driven decision-making, he shares real-world stories that show how AI can drive positive change — from predicting housing evictions to improving healthcare outcomes.
Through anecdotes from his extensive experience in data-driven decision-making, Bapna highlights the transformative potential of AI in society, including projects that predict evictions and enhance healthcare outcomes.
Bapna underscores the need to grasp AI’s complexities, urges businesses to use data more effectively, and highlights AI’s potential to reduce, rather than reinforce, societal biases.
His talk is a powerful call for organizations to adopt AI with care and intention, ensuring it contributes to human well-being.
