Artificial intelligence (AI) and machine learning (ML) are part of a game-changing technology phenomenon that gives enterprises a competitive edge in the market. However, despite the fact that enterprises know AI and ML can help extract value from their data, they still have a lot of operational challenges to see the business benefits.
Without a seamless and automated approach to data management, data science models underpinning AI and ML initiatives can be inaccurate at best, catastrophic at worst. Learn 5 characteristics of an optimal strategy for operationalizing AI and ML data requirements in a fast, secure and automated fashion at scale.
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