Knowledge management is advancing on many fronts, but many organizations have neglected the foundational systems that help people collaborate. Intranets and knowledge bases do not receive adequate funding, and technology vendors are promising that the next generation of tools will make the basics unnecessary. Even organizations that are relatively mature in KM complain that their users cannot find what they need. These organizations are therefore missing key elements in their programs.
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. 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.