AI meets Web 2.0: Building The Web Of Tomorrow Today
Details
PARC Forum
Imagine an Internet-scale Knowledge System where people and intelligent agents can collaborate on solving complex problems in business, engineering, science, medicine, and other endeavors. Its resources include semantically tagged Websites, Wikis and Blogs, as well as social networks, vertical Search engines and a vast array of Web services from business processes to AI planners and domain models.
Research prototypes of decentralized knowledge systems have been demonstrated for years, but now, thanks to the Web and Moore’s Law, they appear ready for prime time. I will introduce the architectural concepts for incrementally growing an Internet-scale knowledge system, and describe early commercial deployments in manufacturing and healthcare.
Presenter(s)
Dr. Jay M. Tenenbaum is a world-renowned Internet commerce pioneer and visionary. He was founder and CEO of Enterprise Integration Technologies, the first company to conduct a commercial Internet transaction (1992), secure Web transaction (1993) and Internet auction (1993). In 1994, he founded CommerceNet to accelerate business use of the Internet. In 1997, he co-founded Veo Systems, the company that pioneered the use of XML for automating business-to-business transactions.
Dr. Tenenbaum joined Commerce One in January 1999, when it acquired Veo Systems. As Chief Scientist, he was instrumental in shaping the company's business and technology strategies for the Global Trading Web. Earlier in his career, Dr. Tenenbaum was a prominent AI researcher, and led AI research groups at SRI International and Schlumberger Ltd.
Dr. Tenenbaum is a Fellow and former board member of the American Association for Artificial Intelligence, and a former Consulting Professor of Computer Science at Stanford. He currently serves as an officer and director of Webify Solutions and Medstory Inc., and is a Consulting Professor of Information Technology at Carnegie Mellon's new West Coast campus.
Dr. Tenenbaum holds B.S. and M.S. degrees in Electrical Engineering from MIT, and a Ph.D. from Stanford.
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