"The biggest obstacle to AI is therefore not a technological question, but a governance question. The gap between ambition and reality is not in the technology itself, but in the layer beneath it."
"As long as that foundation is missing, AI remains stuck in pilots and proof of concepts. Not because it does not work, but because no one can say with certainty that it is safe, controllable, and compliant enough to go live."
AI initiatives often fail to reach production due to governance issues rather than technological shortcomings. Data silos, poorly managed APIs, and unclear decision-making processes hinder progress. The gap between organizational ambition and operational reality grows as companies struggle to translate plans into functioning systems. Without a solid foundation for data access and system communication, AI remains in pilot phases, unable to demonstrate safety, control, and compliance necessary for deployment.
Read at Techzine Global
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