![]() ![]() Spoiler alert: my role now has an official title. Finally, from a professional perspective, I still have meaning and direction in my career. Forrester released an independent report noting that teams using DataRobot save $1.2 million over three years in efficiency alone. Second, as businesses strive for scalability and first mover advantage, AI and automated machine learning offer a competitive edge. So, what’s happened? First, machine learning is table stakes. Surely no computer could automate my infallible* outputs. Surely my careful feature engineering, carving out holdout periods, and checking for monotonicity were inextricably linked to human judgment. What was I going to do? Did this mean my GQ Man of the Year invitation wasn’t in the mail? I had spent years cleansing, reconciling, and wrangling data, and building, testing, and rebuilding models. I can hear their pushback: “But I enjoy solving complex mathematical equations over the course of ill-defined periods by hand!” I wondered what those statisticians were doing now. Perhaps this was how statisticians of old felt when their departments first purchased an IBM mechanical punched-card tabulator (aka a computer). I felt an eerie sense of dread wash over me. 51% of respondents expected data science tasks to be automated within ten years. I was a nerd, and I knew it, but now nerdy was the new sexy.įast forward three years to 2015, when the cult blog published survey results that took the wind out of my sails. I was seven years into my data science career, scoping, building, and deploying models across retail, health insurance, banking, and other industries. ![]() Patil published an article in the Harvard Business Review entitled Data Scientist: The Sexiest Job of the 21st Century. DataRobot Success Stories See how organizations like yours have realized more value from their AI initiatives.Deployment Infrastructure Choose how you want to deploy DataRobot, from managed SaaS, to private or public cloud.Platform Integrations Unify your data warehouses, ML APIs, workflow tooling, BI tools and business apps.Monitor and Measure ROI Monitor, measure and diagnose model accuracy, ROI, and bias in real-time from any hosting environment.Integrate Models Deploy and integrate any model, anywhere with multiple deployment options.Validate and Govern Models Create a centralized system of record for all models, test, approve, and automate compliance documentation.Make Business Decisions Evaluate model performance, identify key drivers, and create customizable apps to drive decisions.Build Models Train hundreds of modeling strategies in parallel using structured and unstructured data.Prepare Modeling Data Connect data, assess data quality, engineer new features, and integrate with feature stores.Discover the DataRobot AI Platform The only fully open, end-to-end AI lifecycle platform with deep ecosystem integrations and applied AI expertise. ![]()
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