Former Executive Vice President of MLOps, DataRobot
Diego Oppenheimer is the former EVP of MLOps at DataRobot, and previously was co-founder and CEO of Algorithmia, the enterprise MLOps platform, where he helped organizations scale and achieve their full potential through machine learning. After Algorithmia was acquired by DataRobot in July 2021, he continued his drive for getting ML models into production faster and more cost-effectively with enterprise-grade security and governance. He brings his passion for data from his time at Microsoft where he shipped Microsoft’s most used data analysis products including Excel, Power Pivot, SQL Server, and Power BI. Diego holds a Bachelor’s degree in Information Systems and a Masters degree in Business Intelligence and Data Analytics from Carnegie Mellon University.
Posts by Diego Oppenheimer
To make laser-sharp predictions, McLaren’s Formula 1 drivers and team members use DataRobot automated time series capabilities to forecast air and track temperatures.
The stakes in managing model risk are at an all-time high, but luckily automated machine learning provides an effective way to reduce these risks. Learn more.
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Model risk refers to the inherent risks associated with running machine learning models in production. Read this post to learn how to manage model risk.
Today’s organizations are up against a great machine learning paradox. Most are investing more than ever in artificial intelligence and machine learning (AI/ML), but far too few have implemented ML models or seen the business impact that AI/ML promises come to life. With businesses pouring resources into AI and machine learning, why are results still so elusive? DataRobot dove deep into the AI/ML strategies of over 400 organizations across industries to find out.