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Artificial Intelligence has emerged as one of the most impactful strategies that enterprises across industries can use to stay relevant and competitive—from smart factories in manufacturing, to recommendation engines in retail, to fraud detection in financial services. As AI adoption becomes more mainstream, AI in enterprises is shifting from experimental to actual business use cases with improved outcomes, unfolding the true value of enterprise AI.

While many organizations realize the importance of AI and the heightened pace of data-driven innovations, developing and deploying AI applications can be challenging. Unlike traditional enterprise applications, AI applications are anchored in rapidly evolving and often opensource code and lack proven approaches that meet the rigors of scaled production settings. To be successful, enterprises need a flexible AI platform that can be supported in their current data center environments and can evolve to support best-in-class AI tools and frameworks.