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Explore the economic implications of choosing between open and closed AI models in this 31-minute conversation with Frank Nagle, Chief Economist at The Linux Foundation. Discover how organizations racing into AI adoption may be overlooking tens of billions of dollars in unrealized value by not considering open model alternatives. Learn about the performance gaps between open and closed models, understand the true costs of switching between different AI solutions, and dispel common misconceptions about data exposure risks. Examine the emerging economics that could reshape the AI landscape and gain practical insights for CIOs and CTOs on integrating open models into production workflows. Understand the strategic considerations for enterprise AI implementation, cost optimization strategies, and how open source approaches can impact your organization's AI economics and long-term technology decisions.
Syllabus
Open Models vs Closed Models: The $25B Question Explained by Frank Nagle, Linux Foundation
Taught by
Linux Foundation