APQC 2017 Annual Knowledge Management Conference

Next Generation KM: The Role of Knowledge Architecture in Machine Learning and Artificial Intelligence Applications

Artificial Intelligence (AI) researchers and experts have been focusing on machine learning as a way to improve capabilities of technology to interpret human intent and deal with ambiguity. But many emerging AI applications miss the role and importance of good old fashioned knowledge engineering. In fact some prominent, respected experts dismiss it as a misguided approach. Nothing could be further from the truth. KM is a crucial component of AI.

In this talk, Seth guided attendees through an exploration of the role of supervised and unsupervised learning and how knowledge architecture is part of every solution even when technology vendors say it’s not. Attendees left with a better understanding of how current approaches fit in the AI technology landscape and how to continue to build a foundation to support current user needs and develop the needed infrastructure for next generation KM.