The advantages of automated machine learning in the front office, the importance of problem framing, and how automated machine learning techniques expand the problem space that can be investigated. Plus, why the choice of machine learning algorithm should be seen as just another parameter to search on.

Introducing DataRobot Pathfinder The potential impact AI will have on the global economy has been estimated to be huge -- about $13 trillion by 2030 (McKinsey). However, even with all the research and media around AI, many executives are still perplexed as to how AI can improve the profitability of their individual organizations. From the difficulties of choosing the right use case to the intricacies of adopting predictions into existing workflows, AI comes with a wide array of challenges that prevent organizations from maximizing the returns on their AI investments.

“I define nothing. Not beauty, not patriotism. I take each thing as it is, without prior rules about what it should be.” — Bob Dylan It’s entirely possible that someone, somewhere, has successfully built one of the amazing market predicting magic boxes from the previous post in this series, but if so, they’re (sensibly) keeping very quiet about it; the…