These and many other new insights are from Gartner Hype Cycle For AI, 2019 published earlier this year and summarized in the recent Gartner blog post, Top Trends on the Gartner Hype Cycle for Artificial Intelligence, 2019. Gartner’s definition of Hype Cycles includes five phases of a technology’s lifecycle and is explained here. Gartner’s latest Hype Cycle for AI reflects the growing popularity of AutoML, intelligent applications, AI platform as a service or AI cloud services as enterprises ramp up their adoption of AI. The Gartner Hype Cycle for AI, 2019.
“Augmented analytics” is a true emerging trend: we’re on our way, but the number of applications is still thin. I’m not too sure about Gartner’s “citizen data scientist” concept, but if it helps us understand and define the interrelationships among data preparation, the automated and quasi-automated generation of insights, and “human assistance” in areas like natural language processing (NLP) and auto-generated visualization, then I guess “citizens” are better than traitors.