One of the strongest driving forces for launching an initiative to capture tacit knowledge is to ensure that institutional knowledge is not lost as people retire or resign. Another is for succession planning and organizational growth. Lack of succession planning results in loss of knowledge. It undermines organizational stability and impedes innovation.
Judith Lamont, Ph.D. //
12 May 2025
The long history of KM's reliance on taxonomies and ontologies is adding new, transformative possibilities as practitioners explore technological developments with AI.
Jelani Harper //
12 May 2025
Kim Glover, Director, Communications Change Management, TechnipFMC, will lead two sessions at this year's KM & AI Summit—'Cooking With KM: Knowledge Sharing & Building Skills,'"and "Storytelling for Collaboration & Change"—exploring how "human-in-the-loop" concepts reflect and affirm the broader purpose of AI, technology, and KM itself.
Sydney Blanchard //
17 Mar 2025
Whether you're starting with strategy development or ready to implement AI solutions, our expertise spans from tacit knowledge capture to the design and development of enterprise-level AI, ensuring your organization achieves its KI goals.
Zach Wahl //
10 Mar 2025
By promoting cross-departmental collaboration and alignment, organizations can ensure a seamless and consistent customer experience across all channels.
Todd Tierney //
12 May 2025
The manufacturing sector is at a crossroads. While investments in new technologies and infrastructure are essential, they must also be utilized to preserve and share institutional knowledge. By adopting a comprehensive KM strategy that includes centralized data management, digital innovation, and a culture of knowledge sharing, manufacturers can safeguard their expertise and secure long-term success.
Yushiro Kato //
10 Mar 2025
To secure their data, certain industries have strict regulations regarding data storage, requiring data to be kept in specific geographic locations or under stringent security measures. This is yet another reason for organizations nowadays to switch back to on-prem resources.
Matthias Gromann //
06 Jan 2025
One of the things KM can do for AI is to empower learning communities to help people how AI applies to them and how to navigate through changes generated by it.
Dan Rasmus //
06 Jan 2025
History tells us that industrial revolutions ultimately do create more jobs, but that the transition period is long and highly turbulent. Thus, when we see resistance in the workplace to AI and automation in general, we should acknowledge that the resistance and fear are well-grounded.
Alan Pelz-Sharpe //
12 May 2025
A much less-known but arguably more critical tech law is Amara's Law, which states that we tend to overestimate the short-term impact of new technology while underestimating its long-term effects.
Alan Pelz-Sharpe //
06 Jan 2025
There are 195 countries in the world. How many more entrepreneurial innovation hotspots are out there, waiting to be tapped and awakened? In our high-tech, virtual world, all of the steps Pakistan has taken can be replicated virtually anywhere, regardless of your country's size, GDP, or location. Imagine the possibilities ...
Art Murray, D.Sc. //
06 Jan 2025
We are in the earliest stages of Agentic AI, and, much like the early days of RPA and GenAI, there's a lot of excitement but also a lot of uncertainty. While the potential benefits are enormous— streamlined operations, lower costs, fewer human errors—there are equally important concerns about job displacement, bias in AI decision making, and a lack of transparency in how these systems operate.
Alan Pelz-Sharpe //
04 Nov 2024