From AI Proof of Concept to Production: Why Most Projects Never Make It
Your AI proof of concept worked perfectly. So why is it still sitting in a notebook six months later? The gap between demo and production is where most AI investments go to die.
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Articles tagged “AI Implementation” on Ryshe.
Your AI proof of concept worked perfectly. So why is it still sitting in a notebook six months later? The gap between demo and production is where most AI investments go to die.
Most companies either over-hire for AI (building a data science team before they have data infrastructure) or under-hire (expecting one engineer to do everything). Here's what an effective AI team actually looks like.