DataRobot, powered by Intel Xeon Scalable processors, is the first automated machine learning solution that enables enterprises to become AI driven and build machine learning models at the click of a button. DataRobot automates machine learning to deliver a productivity boost to organizations of all sizes in order to maximize value from their data analytics endeavors. Intel CPUs bring power and scalability as well as the ability to build production-scale machine learning models on AI-optimized infrastructure.
Suresh Vadakath examines DataRobot’s automated ML platform within the context of a personal loan default case to show how it automates key tasks while applying best practices as well as guardrails throughout a typical machine learning process. Suresh then shares insights and complementary functionalities with regard to model and prediction results explainability.
Listen to DataRobot’s Intel on AI podcast episode to learn more.
Suresh Vadakath is an NYC-based data scientist at DataRobot, where he helps customers and prospects understand and leverage automated machine learning. Suresh has eight years of experience in analytics and data science. Previously, he was a senior solutions engineer at Alteryx, where he guided high-touch enterprise customers in their data prep and predictive analytics initiatives. He holds an MBA in finance from the University of Rochester in Upstate NY.
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