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As the demand for data scientists continues to grow, so does the pressure for them to work rapidly, while also ensuring that their processes are transparent, reproducible, and robust. By having more automation capabilities at their fingertips, data scientists can tackle more strategic problems head-on. In our ebook, 5 Ways Automation Is Empowering Data Scientists to Deliver Value, we take a deep dive into how automation accelerates data science development and frees data scientists to focus on higher-level problems.
DataRobot's gotten pushed into the hands of more data scientists that wouldn't be doing machine learning before, but now they can actually deploy models, and deploy it smartly. It's been a game-changer for us.