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In order for projects to be successful, the time between concept to execution needs to be reasonably set. Far too often, we see the iteration time of AI projects to be months, if not years, from the initial pilot. Additionally, we see organizations run a proof of concept in a controlled lab setting (why?) rather than a pilot using real world systems.
Continue reading AI Today Podcast: AI Failure Series – Iteration Time & Proof of Concept vs. Pilots at Cognilytica.
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In order for projects to be successful, the time between concept to execution needs to be reasonably set. Far too often, we see the iteration time of AI projects to be months, if not years, from the initial pilot. Additionally, we see organizations run a proof of concept in a controlled lab setting (why?) rather than a pilot using real world systems.
Continue reading AI Today Podcast: AI Failure Series – Iteration Time & Proof of Concept vs. Pilots at Cognilytica.
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