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The architectures of today's Knowledge Management systems are not designed to deliver answers to the people that need them. Instead, systems have been built to provide storage, organization, collaboration, curated navigation, or pointers to documents that may or may not provide answers. This has created knowledge friction as employees search for answers, costing midsized companies $20M+ per year according to McKinsey driven by lost productivity, reduced work quality, and customer frustration.
In this webinar, our experts will discuss the need for organizations to unlock institutional knowledge for their workforce along with the role advanced AI technologies like computer vision (CV), large language models (LLM), and natural language processing (NLP) play in eliminating knowledge friction.
Attendees will learn:
– The challenges and economics of knowledge friction for organizations
– Critical considerations around institutional knowledge and the use of AI
– Strategies for avoiding roadblocks and solving the knowledge friction problem
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Marydee Ojala
Editor-in-Chief
KMWorld magazine |
Don't miss this live, one-hour event on Tuesday, May 9 - 11:00 AM PT / 2:00 PM ET.
Register Now to attend the webinar AI's Role in Unlocking Enterprise Knowledge. |
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| SPEAKERS |
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Chris Mahl
President and COO
Pryon |
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Jason Zhou
Sr. Dir. Solutions & Services
Pryon |
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