Automated machine learning is one of the trendiest and most popular areas of enterprise AI software right now. With vendors offering everything from individual automated machine learning tools to cloud-based, full-service programs, autoML is quickly helping enterprises streamline business process and dive into AI. In light of the rise of autoML, analysts and experts are encouraging enterprises to evaluate their specific needs alongside the intended purpose of the tools -- to augment data scientists' work -- instead of trying to use autoML without a larger AI framework. Whether your enterprise has a flourishing data science team, citizen data science team or relies heavily on outsourcing data science work, autoML can provide value if you choose tools and use cases wisely. Enterprises are applying automated machine learning in a diverse range of use cases, from developing retail insights to training robots.

Why do enterprises buy into artificial intelligence systems? Where are they investing the most? As you go to your C-suites and boards with new concepts, where should you direct your pitches? Business process automation and customer support are foremost on the minds of executives and managers buying or implementing AI systems, and where many of the budget dollars. That's the word coming out of a survey of 100 executives by Leverton, which looked at corporate motivations for AI acquisitions.