From Data to Decisions: Foundation Models in Action with Stanford’s Jure Leskovec

Описание: How can enterprises unlock the true value of their proprietary data? In this insightful conversation, Jure Leskovec, Professor of Computer Science at Stanford University, shares his expertise on foundation models and their transformative potential for enterprise data.

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Recorded at The Business and Economics of AI workshop co-hosted by Stanford University and Infosys, this session explores:

Why generative AI is commoditizing skilled work and shifting competitive advantage to proprietary data.
How foundation models can reason over semi-structured enterprise data like customer records, financial ledgers, and supply chains.
The unique challenges and opportunities for industries like financial services in deploying AI at scale.
Key takeaways for business leaders:

Build trustworthy, data-grounded AI systems to drive strategic differentiation.
Leverage internal data as a competitive advantage in the age of generative AI.
Navigate data complexity and regulatory trust requirements with confidence.

00:08 – Introduction: Jure Leskovec, Stanford University
00:12 – Focus: Foundation Models for Enterprise Data
00:18 – The Nature of Enterprise Data
00:22 – Understanding Semi-Structured and Tabular Formats
00:27 – Why Foundation Models Must Adapt to Enterprise Contexts
00:32 – Enabling Smarter Decisions Throu

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