NEXT GEN KM: ROLE OF KNOWLEDGE ARCHITECTURE IN ML AND AI 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. This session will share a brief history of and advances in machine intelligence and how AI is embedded in almost every system and application in use today. You will explore 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 will leave with a better understanding of how their 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.
Meet the Author
Earley Information Science Team
We're passionate about managing data, content, and organizational knowledge. For 25 years, we've supported business outcomes by making information findable, usable, and valuable.
