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
Successful customer service automation with GenAI requires a strong foundation of integrated knowledge management. Investing in a modern knowledge hub to power GenAI projects will help you meet aggressive operational cost reduction and CX goals.
Anand Subramaniam //
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
AI continues to disrupt the knowledge management space and experts in the field predict that it's a trend that still hasn't reached its full potential, yet. In 2025 there's more room for improvement.
Stephanie Simone //
06 Dec 2024
One thing is clear: The widespread adoption of GenAI will not lead to fewer knowledge jobs, but rather, it will pave the way for their growth and evolution.
Egor Kraev //
04 Nov 2024
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
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
While process mining started years ago as a mainly data-driven exercise, its stated goal is to be knowledge-driven. Given KM's multidisciplinary scope, we can play a major role in achieving that goal. Any process, no matter how simple, has the potential to reach across an entire business ecosystem, including all stakeholders. This seems like a perfect match for collaborative workflow, AI/ML, knowledge graphs, human sensemaking, and many of the other arrows in our KM quiver.
Art Murray, D.Sc. //
09 Sep 2024
The third place I alluded to goes far beyond mechanistic KM or curated knowledge and takes us into the actual world of tacit knowledge. Here, knowledge comes from and often remains as personal experience, impressions, and intuition; it's undocumented and often hidden and elusive.
Alan Pelz-Sharpe //
02 May 2024