Why Knowledge, Not Just Intelligence, Is the Key to Enterprise AI Success
Enterprise AI’s Missing Piece: Edo Liberty’s Perspective from Disrupt 2025
Most discussions about artificial intelligence focus on smarter models, larger datasets, and faster algorithms. But at TechCrunch Disrupt 2025, Edo Liberty—founder and CEO of Pinecone—will spotlight a crucial, often-overlooked ingredient for successful enterprise AI: knowledge. His upcoming session promises to challenge the idea that raw intelligence alone delivers real business value.
Beyond Intelligence: Why Knowledge Matters
According to Liberty, intelligence—such as advanced language skills or prediction accuracy—is only half the equation for enterprise AI. What truly makes AI systems valuable is their ability to access, retrieve, and use knowledge specific to a business’s needs. This means integrating proprietary data, domain insights, and real-time information to drive accurate answers and actionable results.
- Real-world utility: To complete tasks, answer questions, and create value, AI must connect intelligence with relevant, up-to-date knowledge.
- Enterprise demands: Companies require AI systems that can leverage their unique data and expertise—not just general-purpose intelligence.
Liberty will break down this difference on stage at Disrupt 2025, sharing why the real-world impact of AI depends on marrying intelligence with knowledge infrastructure.
Pinecone: Powering Knowledge Retrieval at Scale
Pinecone, the company Liberty founded, has emerged as a foundational layer in the enterprise AI stack. Its vector database technology enables organizations to build AI applications that can efficiently search, retrieve, and use massive knowledge bases in real time. This makes it possible for businesses to create smarter, more context-aware AI solutions—ranging from intelligent search to advanced recommendation systems.
From Amazon AI to Building the Future
Liberty’s insights come from a rare blend of academic and industry experience. Before founding Pinecone, he led Amazon AI Labs and served as Director of Research at AWS, working on influential services like SageMaker and OpenSearch. He also ran Yahoo’s New York research lab, taught at Princeton and Tel Aviv University, and authored over 75 papers and patents in machine learning and data mining.
At TechCrunch Disrupt 2025, Liberty will bring this expertise to a session designed for technical leaders, AI builders, and anyone seeking to bridge the gap between AI’s promise and its practical impact.
Don’t Miss This Must-Attend Session
Liberty’s fireside chat will take place on one of the two dedicated AI Stages at TechCrunch Disrupt 2025, held October 27–29 at Moscone West, San Francisco. The exact session time will be announced on the event agenda. With 10,000+ startup and VC leaders in attendance, this is a prime opportunity for anyone invested in the future of enterprise AI.
To secure your spot and save on tickets, register here.
