Machine learning (ML) has moved beyond the hype to become a meaningful driver of value for many organizations. Over two-thirds of businesses that have fully embraced artificial intelligence (AI) say the technology has created a better customer experience, and more than half say it has improved decision-making, increased productivity, and allowed for innovation while achieving cost savings.
While it’s clear that ML is an essential part of business transformation, many organizations struggle to understand where to apply ML for the most impact. Selecting the right ML use case requires you to consider a number of factors.
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