The Yes-Man in the Machine: Avoiding the AI Sycophancy Echo Chamber
Introduction AI sycophancy happens when tools like chatbots or large language models (LLMs) deliver overly agreeable responses. Instead of prioritizing...
Spotting AI junk words: Why AI still can’t write like humans
In an age where AI seems to be doing it all, from writing never-ending sales cadence emails, generating mediocre marketing...
Generative AI: Turning Hype into Real Business Value—Insights from My Conversation with Yves Mulkers
Generative AI is often surrounded by excitement and speculation, but how can businesses turn this technology into genuine value? In...
AI Isn’t Enough: The 5 LLM Patterns That Separate Talk from Action
As organizations begin to get serious about generative AI, they realize that moving from experiments to enterprise-scale AI systems is...
Why LLM Patterns Are the Key to Enterprise Success – And Why Ignoring Them is a Mistake
As the generative AI aura begins to fade, organizations realize that the technology is not the panacea they once thought....
How to Build a Compelling Business Case for Generative AI
Introduction The race to implement generative AI is no longer an option for enterprises—it’s an imperative. Companies delaying AI adoption...
Are You Data-Driven, Insight-Driven, or AI-Driven
As the world turns, data is created at a pace that is incomprehensible to most. In fact, in the 2030s,...
The Rise of AI Agents: Harnessing Autonomous AI to Drive Business Results
Introduction As the sizzle of generative AI wanes, organizations realize that artificial intelligence (AI) is not the panacea they once...
Garden Party: Using LLMs for OCR and Data Analytics
Unlocking the Secrets of Garden Productivity In this article, I’ll share my experience using large language models (LLMs) to digitize...
Generative AI Deployment Strategies
A Strategic Guide for CIOs and CTOs Introduction As organizations continue to tinker with generative AI, they face with a...