Deeper Insights

Vendor Lock-In in AI: A Risk Companies Can’t Afford
Where Lock-In Really Happens A risk map across the AI stack shows just how many doors can quietly close behind you: The effect? You lose flexibility, costs creep upward, and innovation slows…
Mehr erfahrenNavigating Your AI Journey with Hainzelman: From First Steps to Lasting
The Four Phases of AI Adoption with Hainzelman 1. Orientation & Potential Analysis – “Making AI tangible” The first step is about clarity: Which processes can be automated and deliver measurable value?Hainzelman…
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Crossing the GenAI Divide: From Hype to Real Value
Why Pilots Stall Executives in the report were clear: That’s why so many initiatives deliver demos but not impact. What the Leaders Do Differently The organizations on the right side of the…
Mehr erfahrenMaking Employee Knowledge Usable with the Hainzelman Expert Companion
The Challenge: Knowledge Loss in Organizations This is where the Expert Companion comes in. How the Expert Companion Works The Expert Companion uses a multi-step approach to secure and activate knowledge: The…
Mehr erfahrenWhy LLMs Struggle with Structured Data – and What They Actually Do Behind the Scenes
Why Structured Data Is Hard for LLMs LLMs are built to predict the next word in a sequence of text. They excel at language, reasoning, and summarization. But structured data (like numbers,…
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