Tips for CIOs: How to implement machine learning projects

Those CIOs starting to implement machine learning projects in their organizations should pay attention to the quality and source of their data, according to Ed Featherston, VP and principal architect at cloud computing consulting firm Cloud Technology Partners. Featherston spoke with SearchCIO at the recent Cloud Expo in New York. In this video, he offers pointers on how CIOs can prepare their organizations for machine learning projects and explains the need for figuring out the best way to transport their data into machine learning algorithms. He also sheds light on how internet-connected devices and crowdsourced data are changing data pedigree, and explains why candidates with data science skills are a top priority for CIOs hiring for machine learning projects. Read excerpts of the interview below, or click on the player to hear the interview in its entirety.