Deeper Insights

The Gemini 3 Era is Here: Why Your AI Strategy Needs Agnosticism, Not Allegiance
For many businesses, the knee-jerk reaction is to go "all in." To rewrite code, migrate data, and hard-wire their systems to this new champion. But this is a trap. While Gemini 3…
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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…
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Navigating Your AI Journey with Hainzelman: From First Steps to Lasting Impact
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…
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Making 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…
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Why 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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