In 2012, DataRobot co-founders Jeremy Achin and Tom de Godoy recognized the profound impact that AI and machine learning could have on organizations, but that there wouldn’t be enough data scientists to meet the demand. The technology they invented, automated machine learning, allowed organizations to scale data science capacity by teaching machines to perform much of the tedious and time-consuming work for a data scientist while also giving them access to hundreds of different algorithms. Automated machine learning gave them the power to use their unique skills to compare dozens of models simultaneously and immediately put the optimal one into production.
Over the past seven years, we’ve been solely focused on automating all 10 steps in the machine learning modeling and deployment process – raising $225 million, hiring some of the world’s top data scientists and developers, and consuming hundreds of thousands of hours of their time to make automated machine learning a reality.
We’ve known for years that automation is the key to embracing the power of AI, and we’re thrilled to see Forrester acknowledge, in our opinion, its contribution with its recently released report: The Forrester New Wave™: Automation-Focused Machine Learning Solutions, Q2 2019. DataRobot was named a Leader in this New Wave, and states: “DataRobot leads the pack with a broad set of robust capabilities.” DataRobot received a differentiated rating in nine of the ten assessment criteria, including user experience, model operations, vision, and road map.
According to their research:
"The company leverages its experience in the market to quickly evolve the product to set the standard of what it means to be an enterprise AutoML solution."
In addition to Forrester, other leading industry analyst firms are recognizing the importance of automation. In Gartner’s Top 10 Strategic Technology Trends for 2019, they wrote that “By 2020, more than 40% of data science tasks will be automated.” Earlier this year, we were included by Gartner in its 2019 Magic Quadrant for Data Science and Machine Learning Platforms as a Visionary, achieving the furthest overall position for completeness of vision. We believe this focus on driving the automated machine learning market forward has been the key to our success and incentivized other automated platforms to hastily enter the market.
It’s nice to be recognized and we see this as validation for the work we’ve done since our founding to make data scientists more productive and empower even more people, including data analysts and developers, to achieve success with machine learning. But we’ll never stop working toward our mission to provide our customers with the best possible AI capabilities, provided through a combination of industry-leading software and hands-on data science expertise.
We’re pleased to offer a complimentary copy of Forrester’s New Wave (as well as Gartner’s 2019 Magic Quadrant for Data Science and Machine Learning Platforms) to help you learn more about the power of automated machine learning and its benefits. In this valuable research, you’ll learn more about Forrester’s view of the automation-focused machine learning market and see why DataRobot is positioned as a Leader.
About the Author:
Bob Laurent is a Sr. Director of Product Marketing at DataRobot. Prior to DataRobot, he ran product marketing at Alteryx, where he was responsible for driving awareness and growing a loyal customer base of empowered data analysts. He has more than 20 years of marketing, media relations, and telecom network engineering experience with Fujitsu and NYNEX (now Verizon). Bob resides in Dallas with his wife and two boys, and holds a Bachelor of Science degree from Clarkson University, plus an MBA from New York University's Stern School of Business.