The Missing Layer: What Enterprise AI Still Gets Wrong About Context #SFTechWeek

Wednesday, Oct 7

2:00pm

Hosted by

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Event Description AI can analyze more data than ever before, but it still struggles with a surprisingly fundamental question: where? Geographic data is fragmented across ZIP codes, neighborhoods, school districts, political boundaries, markets, and thousands of other overlapping definitions of place. Without understanding how those places relate, even sophisticated AI systems can lose context, introduce noise, or generate misleading conclusions. Join TeroAI and leaders across AI, data, enterprise, and investment for a conversation about the missing geographic layer in AI — and what becomes possible when machines can better understand not just the data, but where it exists and how those places connect. We’ll explore real-world learnings from retail, real estate, advertising, and economic analysis; why traditional geographic data creates challenges for AI; how spatial context can reduce hallucinations and improve decision-making; and what this means for the next generation of enterprise AI. Who should attend: AI and data leaders, founders, enterprise technology and innovation teams, investors, and companies building data-driven products. Format: Pre-panel networking, a 45-minute structured panel, 15-minute audience Q&A, and post-panel networking. Light drinks and bites will be available. This event is a part of #SFTechWeek—a week of events hosted by VCs and startups to bring together the tech ecosystem. Learn more at www.tech-week.com.