Operationalizing AI and ML has become an unavoidable need in business, as various industries heavily rely on large volumes of real-time data as input to automated decision-making processes to yield the best results. Use cases in the data science field have shown that ML models and AI have few tangible business benefits until they are operationalized. In this e-book, our friends over at MemSQL show us how to successfully deploy model-driven applications into production.
A recent report by Gartner describes AI and Machine Learning as being at the peak of hype in organizations today. Although these technologies are still emerging, they are already delivering practical benefits to help solve real-world problems. As enterprises adopt AI and machine learning, they are gaining significant momentum through their use of data.
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