How do you take machine learning (ML) out of prototype purgatory and into the real world driving business outcomes?

Too often organizations think going from an ML prototype to production, at scale, and with optimized ROI is the same as what they’ve done thus far. Or sometimes they just wrap a model in a container and deploy it onto a server. 

In reality, AI teams need to be better aligned, aware of common pitfalls, and shift their thinking at key points. 

Built based on learnings from client deployments, this eBook shows how properly prepared AI teams can:

• Deploy models in seconds
• Analyze data up to 12.5X faster than average
• Reduce compute costs by 80% compared to average
• Iterate quickly and scale easily
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