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Architecting data and AI systems that remain explainable, governable, and trusted at scale
In today’s enterprise environments, data no longer functions as a record of what has happened. It operates as a live ...
AI does not typically fail because it lacks intelligence. It fails because many enterprises have an architecture that is ...
The path to AI success starts with a single, well-chosen use case: one that is bold enough to inspire, urgent enough to ...
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