“Where and how is generative AI accelerating and impacting knowledge use cases, areas, and processes?” Read more...

"Most organizations don’t struggle because they lack intelligent people or good ideas. They struggle because of hidden patterns among people, knowledge, and capabilities. These patterns are rarely visible on organizational charts or in strategy decks, yet they shape how work actually gets done." Read more...

"Innovation is the lifeblood of modern business. Every organization wants to be faster, more creative, and more disruptive. And yet, despite an abundance of ideas, most innovation efforts fail to deliver results. Let’s look at the numbers:.." Read more...

"Have you ever tried to explain how to ride a bicycle or recognize a trustworthy person? You might describe it, but something remains out of reach, beyond words. Now flip the question — have you ever read a manual in detail that made you master something without the need to experience it, touch it, or even feel it yourself?" Read more...

"Knowledge Management is often misunderstood. Some think it’s just document storage, an intranet, or a portal. Meanwhile, KM teams get caught between unclear expectations and silent frustrations. That’s why awareness matters — not just for KM professionals, but for everyone involved. When we align on what KM is (and what it isn’t), we build shared ownership, realistic expectations, and real impact." Read more...

"Innovation is no longer optional. It’s a necessity. Across industries, organizations are launching digital initiatives, investing in R&D, and experimenting with AI, automation, and new business models. But amid all this activity, a critical question remains: Are we truly capturing the value of our innovation efforts?" Read more...

"Everyone agrees that knowledge is power. It’s a favorite line in corporate strategy decks and digital transformation roadmaps. But here’s the reality in most organizations: That knowledge stays locked inside people’s heads." Read more...

"While the phrase “knowledge is power” has stood the test of time, in today’s results-driven environments, power without economic justification often isn’t enough. The challenge knowledge management (KM) programs frequently face is clear: “We believe in KM… but what’s the ROI?" Read more...

"Catchball is a widely recognized practice in lean management, particularly linked to Hoshin Kanri, the process of strategic planning and deployment. It involves colleagues exchanging ideas in a back-and-forth manner to refine and enhance them through iteration. " Read more...

Lean management, a philosophy rooted in the Toyota Production System (TPS), emphasizes the elimination of waste to maximize value. While the original framework identifies seven types of waste, an eighth category — the waste of unused tacit knowledge — has gained recognition for its critical impact on organizational competitiveness. "" Read more...

Technical expertise within organizations represents a complex web of theoretical foundations, procedural knowledge, and experiential insights. Technical expertise is fundamentally developed through tacit knowledge — the unwritten, experience-based insights employees develop over time. Read more...

‘What does it take to create an AI-based personal tutor following instructional design principles at minimal cost?’ Read more...

Not knowing stimulates self-reflection which in turn drives Learning. The journey of learning is active, iterative, and dynamic. Read more...

It’s a reality that some members don’t ask questions because they’re intimidated and afraid to look incompetent in front of their colleagues. Going online may impact their image in front of their managers, affect their evaluation, or be hesitant about it. Read more...

This is a frequent and relevant question regarding the current and future state of AI integration within knowledge management. This question merits some reflections to better understand the opportunities and limitations when interweaving generative AI technology with any knowledge-driven event or activity. Read more...

Organizational knowledge metamorphoses or may become obsolete as product and service offerings evolve. New products may get introduced and some products/ services may be decommissioned. What will happen to the knowledge associated with dismissed products/ services? How can Large Language models (LLMs) accommodate for these changes? Read more...

What I call “Interactive AI” is the upskilled iteration of Generative AI. The interactive AI iteration has reasoning capabilities and a multimodal AI model. I have formulated a conviction that GenAI should be considered as a cultural transformation rather than a digital transformation. Read more...

Implementing AI successfully requires careful planning and adherence to a set of guiding principles. I have compiled a set of 7 guiding principles with concrete examples.  Read more...