Operationalize Machine Learning

The emerging field of ML Ops aims to deliver agility and speed to the ML lifecycle – similar to what DevOps has done for the software development lifecycle. A recent Forrester study, commissioned by HPE and Intel, highlights how 97% of enterprise organizations investing in ML Ops believe it will give them a competitive edge. Participants of this study expect that investments will lead to 53% increased profitability; 52% better customer experience; and 49% better adoption of data science best practices and increased skills.

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