504: Does your AI strategy address tacit knowledge?

Economists, AI experts, and business strategists are converging on the idea that AI transformation depends largely on proprietary organizational knowledge—how much an organization knows and has documented about itself, from processes and customers, to skills and competitive landscape. Without proprietary organizational knowledge, AI is a generic commodity with limited benefits. But with it, AI has the potential to revolutionize every aspect of business.

 

The problem is that the most valuable organizational knowledge isn’t documented in systems or tools; it lives in the heads of people as tacit knowledge…. And those people are reading headlines about layoffs. 

 

Drawing on her work at the intersection of cognitive and motivational psychology, AI, and knowledge, Sandra Loughlin, Chief Learning Scientist at EPAM, will answer a critical question for AI strategy success, "What makes employees want to share what they know?” She will explore why sharing tacit knowledge is difficult, necessarily slow, and scary for employees, and then describe the conditions necessary for people to contribute what they know. Critically, she will challenge learning leaders to rethink their role in enabling those conditions. 

 

Throughout the session, you'll consider