TechCrunch News 07月09日 23:32
Pinecone founder Edo Liberty explores the real missing link in enterprise AI at TechCrunch Disrupt 2025
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在TechCrunch Disrupt 2025大会上,Pinecone创始人Edo Liberty将探讨AI应用的核心——知识的重要性。他认为,仅仅拥有语言能力或预测准确性是不够的,AI需要结合专有数据、领域特定见解和实时信息检索,才能真正为企业带来价值。Liberty将分享Pinecone的经验,Pinecone的矢量数据库帮助企业构建高性能的AI应用,实现大规模、可靠的知识库实时使用。Liberty在AWS和雅虎的研究经历,以及他在机器学习领域的丰富经验,将为与会者提供深刻的见解。

💡 演讲核心:Edo Liberty将在TechCrunch Disrupt 2025上强调知识对于AI应用的重要性,认为仅有智能是不够的。

🔑 关键区别:Liberty将阐述智能与知识之间的关键区别,并解释两者结合如何释放AI的真正潜力。

🏢 Pinecone的角色:作为Pinecone的创始人,Liberty将分享Pinecone的经验,Pinecone的矢量数据库帮助企业构建高性能AI应用,实现大规模、可靠的知识库实时使用。

👨‍💼 Liberty的经验:Liberty曾担任AWS的研究主管,领导Amazon AI Labs,并在雅虎和普林斯顿大学有研究和教学经历,他在机器学习、数据挖掘和流式算法方面拥有丰富的经验。

At TechCrunch Disrupt 2025, the AI conversation goes deeper than just the latest models. On one of the AI Stages, Edo Liberty, founder and CEO of Pinecone, will deliver a session that challenges one of the most persistent assumptions in the field — that raw intelligence alone is enough. With 10,000+ startup and VC leaders expected in San Francisco from October 27–29, this fireside chat and presentation is one of the must-attend moments for anyone building AI systems that actually work in the real world.

For AI to be truly useful to businesses, it needs more than language fluency or prediction accuracy. It needs knowledge. Proprietary data, domain-specific insights, real-time information retrieval — these are the ingredients that power task completion, accurate answers, and enterprise value. Liberty will break down the critical difference between intelligence and knowledge, and explain why delivering both is the key to unlocking AI’s true impact.

As the founder of Pinecone, Liberty is leading one of the most important infrastructure companies in the AI ecosystem. Pinecone’s vector database helps organizations build high-performance AI applications at scale, with reliable retrieval and memory systems that enable real-time use of massive knowledge bases.

Before launching Pinecone, Liberty served as Director of Research at AWS and led Amazon AI Labs, where he worked on key services like SageMaker and OpenSearch. He also ran Yahoo’s research lab in New York, taught at Princeton and Tel Aviv University, and authored more than 75 papers and patents on machine learning, data mining, and streaming algorithms.

At Disrupt 2025, Liberty brings all of that experience to bear in a session that will speak to technical leaders, AI founders, enterprise builders, and anyone trying to bridge the gap between promise and performance in artificial intelligence.

Catch this conversation on one of the two AI Stages at TechCrunch Disrupt 2025, happening October 27–29 at Moscone West in San Francisco. The exact session timing to be announced on the Disrupt agenda page, so be sure to check back in often for frequent updates. Register now to join more than 10,000 startup and VC leaders and save up to $675 before prices increase.

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