MBA, Imperial College London
AI
Knowledge management systems work best when they match how companies actually learn and share information. I recently consulted with an AI engineering team whose project failed not because the technology was bad, but because the company approached it the wrong way. This case study shows how being too focused on
AI
Cutting through the AI hype is challenging. Many bold claims are driven more by marketing or sales agendas to upsell AI implementations than by technical substance or proven results. 💡Hot Take: This is it. What LLMs can do now might be all they ever do well. Given these limitations, there
Smart RAG using Knowledge Graphs = Second Brain If you ever felt GenAI delivered shallow or incorrect information - then this is currently the pioneering approach to succeed: Don't use GenAI alone, integrate it within a RAG framework. But not just basic RAG, it must be SMART. RAG means
AI
Many people think AI success comes down to having cutting-edge algorithms or a high-powered team of AI/ML engineers and data scientists — but that’s not the case. Research from top universities and global consulting firms shows that up to 80% of the work in AI projects isn’t about
AI
Recent research from top universities and consulting firms demonstrates that human-AI collaboration consistently outperforms both AI-only and human-only approaches, with productivity improvements ranging from 12% to 60% across diverse knowledge work domains. The most compelling evidence comes from Harvard Business School's landmark 2023 study with 758 Boston Consulting
AI
Artificial intelligence systems are only as intelligent as the knowledge they can access, validate, and reason with. Despite billions invested in AI, more than 70% of CEO's are not happy with AI investment return (Gartner, 2025). Research from leading academic institutions and consulting firms reveals a stark reality:
Organizational Learning
Knowledge Transfer and Succession Planning: Critical Component of Organizational Knowledge Management Business Continuity at Risk Every day, 10,000 Baby Boomers reach retirement age in the U.S. alone (Federal Reserve Bank) — and globally, that number is even more staggering. Organizations are facing a demographic cliff: decades of institutional knowledge