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Why Companies Need To Apply Machine Learning To Overall Digitalization Efforts

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In my last article, I explained how businesses need to differentiate between digital strategy, digitization and digitalization. The piece focused on how everyone uses the terms differently and, ultimately, how digitalization was really about thinking through how companies can best automate processes and practices in their organization.

Case in point: Digitalization is converting an entirely or partially manual process to be entirely digital. This could involve automating workflows or processes. Digitization, on the other hand, is converting analog content to digital format. Simply put, the goal of digitalization is to create efficiency and capture value.

A big part of digitalization is figuring out how to improve processes, not only to cut costs and save time, but also to improve an organization’s productivity and the overall customer experience. Machine learning (ML) and artificial intelligence (AI) become an important part of the formula, since both help companies scale.

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