Tabular and time series data is the heartbeat of modern business, containing invaluable insights into trends, patterns, and anomalies across sales transactions, product data, financial records, and more. Unfortunately, current approaches to generative AI are not well suited to use cases that operate on numerical data, such as prediction and forecasting, planning and optimization, resulting in high investments in AI projects that are doomed to fail.

In this session, we’ll talk about

• New approaches to AI applied to time series data and structured business data
• Actionable strategies for organizations across all industries to adapt and thrive in this evolving AI landscape
• Guidelines for industry leaders and policymakers to responsibly navigate the transformative potential of Gen AI