How Knowledge Management Supports Artificial Intelligence

Knowledge management is undergoing a renaissance.  However, it is not being called knowledge management.  It is hiding under the covers of artificial intelligence (AI) and cognitive computing.  It is a component of these classes of emerging machine learning and machine intelligence technologies that require knowledge as an input. Unfortunately, some of the statements made about AI are preposterous, and do not stand up to scrutiny. But that doesn’t mean AI can’t have a role in your organization, both over the near term and over the long term.


Taking Knowledge Management to the Next Level: Go Back to Basics

It is time to start thinking about knowledge management differently. 

Many new and emerging means of leveraging knowledge are now on the table - think cognitive computing and chatbots.  These tools and new capabilities are being extended outward to the entire enterprise.   However, bad data cannot be thrown into an algorithm and magically produce results for a business process, no matter how “smart” the algorithm is at parsing and organizing information.

In this ebook you'll learn:


Knowledge Management and User Engagement – Weaving the Experience into Work Practices

Organizations are maturing in their understanding of knowledge management.  But true engagement and acceptance is still a major obstacle to success 

Knowledge Management for Healthcare and Life Sciences

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

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Location

Houston, TX

 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.

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Back to Basics: Getting to the Next Level in Knowledge Management

Is your knowledge management system like a superhighway without adequate on-ramps? In other words, lots of great information but no way to access and leverage information in a useful and practical way?


Knowledge Management in Healthcare and Life Sciences

In the age of observational outcomes, skyrocketing healthcare costs and personalized medicine, applied knowledge impacts every aspect of the industry. 

I recently started reading The Rational Optimist by NY Times Best Selling author Matt Ridley.  The subtitle is How Prosperity Evolves, and the first few chapters are devoted to comparisons of our modern living standards with prior historical and economic eras, going back through antiquity and prehistory.
 

Designing an Information Management System for Your Employees

This article originally appeared on September 14, 2016 on CMSWire.com.

In an ideal world, enterprise information management (EIM) systems provide every employee with a comprehensive view of all available information resources.

But we don't live in an ideal world.


Training the Robots: Evolving Virtual Assistants and the Human Machine Partnership

Turing test or no Turing test, Intelligent Virtual Assistants are here to stay.

As more and more of our daily interactions are between people and artificial intelligence systems, the demands for meaningful and effective interactions is increasing. Expectations from users of intelligent agents need to be the source of great attention, with the appropriate planning, modeling and measurement in place to guarantee the desired performance and results.


You have chosen a BI tool—what’s next?

Congratulations!  You just selected a business intelligence tool. This product or platform will be either a new undertaking in your company or will replace existing tools. As a next step, you are probably thinking about your first implementation.