Artificial intelligence (AI) researchers and experts have focused on machine learning as a way to better interpret human intent and deal with ambiguity using technology. 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.
In this conference overview, Seth Earley of Earley Information Science explored the role of supervised and unsupervised learning and how knowledge architecture is part of every solution even when technology vendors say it’s not. He discussed how current KM 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.
Click here for the presentation slides.