If you’re an Anaconda user and/or frequent reader of our blog, then you know how passionate we are about empowering our community (and future community!) with all the resources needed to bring data science to life. And while it will never stop us from tooting the data science horn, it’s always nice to know we are in good company. Continuum Analytics was recently included in Gartner’s Hype Cycle for Data Science and Machine Learning for 2017, Peter Krensky and Jim Hare, July 28, 2017.

Per the Gartner report, “The hype around data science and machine learning has increased from already high levels in the past year. Data and analytics leaders should use this Hype Cycle to understand technologies generating excitement and inflated expectations, as well as significant movements in adoption and maturity.”

We couldn’t agree more. 

This report comes on the heels of our inclusion in Gartner’s Cool Vendors in Data Science and Machine Learning, 2017 report Peter Krensky, Alexander Linden, Svetlana Sicular, and Cindi Howson, May 11, 2017. 

One important point is that this was the first time Machine Learning was included in Gartner’s Hype Cycle for Emerging Technologies, which we believe clearly validates the growing importance of data science across the enterprise. While this isn’t news to us, it is important that influencers are acknowledging the shift to a more data-driven enterprise and moving data science from an ‘emerging’ category to ‘established.’ 

We witness this shift everyday as the Anaconda community swells to 4.5M active users with more new members joining daily. Our excitement grows along with every new user because we know the impact data science can have on so many areas––from enabling new and cutting edge innovations to solving some of the world’s biggest challenges and uncovering answers to questions that haven’t even been asked yet.

We’re grateful to our incredible community for bringing our vision to life and truly embracing the superpowers we offer for people who change the world. 

Gartner Disclaimer
Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.