Exponential experimentation

AI is fueling an all-out competitive race in model development. Speed up your time-to-model and stay ahead of the pack.

When most of your experiments fail, how do you avoid failure?

You find a way to run a lot more tests, fast. Identify and set aside failing experiments as soon as their weaknesses become apparent, double down on those that show promise, and keep filling the pipeline with new experiments.

That’s what developers and data scientists are grappling with today, to identify winning models and deploy them as quickly as possible in real-world environments.

With access to so much data – some of which is tremendously valuable when refined into insights – they’re facing pressure to find more and better ways to put it to work. It’s all about more effective model development and management.

AI is a big part of the answer. But the processes, tools and infrastructure your organization builds to support AI capabilities are just as important. That’s where SAS® Viya® Workbench comes in.

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