Foundations of an AI-First Approach to Knowledge Flow

Video produced by Steve Nathans-Kelly

Professor of Business Administration at Harvard Business School and co-authorof "Competing in the Age of AI" Marco Iansiti explained how transitioning from traditional knowledge flows to an AI-first approach can help break down organizational silos at KMWorld Connect 2020. 

"We have organizational silos and we're building the technology itself in silos, in hard coding applications, across different things," he said. "We see the information flows, the data flows and knowledge flows are essentially hardwired often by teams of consultants that come in here and say, 'okay, we're going to do one targeted application for forecasting, one targeted application for inventory management.' That model is being replaced by another model. In many ways we have a transition from the traditional approach, right?" 

He suggested businesses make a concerted company-wide effort of literally gathering hundreds, if not thousands of citizen developers to build individual processes to begin to rethink the way the company works.

"And this is really fundamentally how the process of transformation occurs across companies," Iansiti said.