Our Blog

Ensuring the adoption of new knowledge management programs, systems, and tools requires thorough planning well in advance of actually launching a new initiative. It also takes an agile approach to designing your solution so that you can adapt what you deliver based on what your employees truly need to help them get their job done.

In this presentation, you’ll learn how to develop, refine, and execute the following critical plans, which will ultimately maximize employee engagement with the “new way of doing things.”

Effective knowledge sharing is the lifeblood to knowledge-based organizations. High-performing organizations are ones that have mastered the art of empowering their newer employees with the knowledge and experience of the more-tenured, highlighting new ways of thinking and doing, and fostering a broad set of avenues for knowledge to flow up, down, and sideways throughout the organization.

Take a moment to remember how you felt the last time you were surprised at work with an announcement of a big change. No, really – pause for a moment and think about it.

In part one I examined the connection of KM and AI and how this connection has led the way for cognitive computing; while in part two I examined those industries that will or are soon to be disrupted by Cognitive Computing.  In this post I will examine those technologies that will lead in the disruption brought to many industries by the way of cognitive computing.

Similar to the old adage, “you can lead a horse to water, but you can’t make him drink,” you can deliver a solution that uses the most cutting-edge technology and beautiful design, but you can’t guarantee that your stakeholders will embrace it. This blog offers practical tips on how to maximize and measure user adoption to ensure that your new tool or process is fully embraced by those for whom you’ve designed it.

The Disruption of Cognitive Computing

This is the second of a three-part post on the connection between Artificial Intelligence (AI) and Knowledge Management (KM). In this post I examine those industries that will or are soon to be disrupted by AI and KM, specifically in the form of Cognitive Computing.

This is the first of a three (3) part post on the connection between Artificial Intelligence and Knowledge Management.

Given the 45th anniversary to of its launch this year, what can we learn about Knowledge Management from Pioneer 10?

In our last blog post, our featured author discussed how "knowledge change is not a technology project."  This week our author presents the case for the use of tech tools especially in dealing with issues of employee retention.  Endorsement of specific vendors by KMI should not be implied.

Implemented in organizations with high employee turnover, knowledge management tools are not only to facilitate knowledge accumulation and transfer but also to stimulate employees’ engagement and retention. Here how it works. 

This article is referencing concepts and terminology common in “Knowledge Management” (“KM”) and “Adoption & Change Management” (“ACM”) and assumes that the reader has at least some experiences in one or the other. It also references the use of SW solutions and “collaboration tools” as a means to realizing organizational benefits, and value, of KM concepts.

I have inserted links to articles explaining some of the concepts where appropriate.