Machine learning is being touted as the solution to problems in every phase of the software product lifecycle. However, like every solution, it comes with challenges. In an article contributed to InformationWeek, Ness CTO Moshe Kranc outlines the phases and challenges of the ML workflow and introduces us to a new category of products that counter these problems by providing a seamless, end-to-end ML operational environment. As Moshe concludes, machine learning is poised for explosive growth, and we can expect to see this product family mature and expand in the coming months.
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