Put AI to Work
April 15-18, 2019
New York, NY
Suresh Vadakath

Suresh Vadakath
Data Scientist, DataRobot

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.

Sessions

3:00pm–3:10pm Tuesday, April 16, 2019
Automated machine learning for the enterprise
Intel® AI Builders Showcase
 Location: Grand Ballroom West
Suresh Vadakath (DataRobot)
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. Suresh Vadakath examines DataRobot's automated ML platform within the context of a personal loan default case. Read more.
4:55pm–5:35pm Wednesday, April 17, 2019
From prediction to prescription: Optimizing AI (sponsored by DataRobot)
Sponsored
 Location: Beekman
Suresh Vadakath (DataRobot)
Average rating: **...
(2.33, 3 ratings)
Many companies want to influence the future by adjusting factors that they control. Suresh Vadakath covers practical ways to extend machine learning models via simulations and points out common pitfalls to avoid. Suresh then discusses a few applications in marketing, pricing, and operations to illustrate how this approach works in the real world. Read more.
1:00pm–1:40pm Thursday, April 18, 2019
From prediction to prescription: Optimizing AI (sponsored by DataRobot)
Location: Petit Trianon
Suresh Vadakath (DataRobot)
Many companies want to influence the future by adjusting factors that they control. Suresh Vadakath covers practical ways to extend machine learning models via simulations and points out common pitfalls to avoid. Suresh then discusses a few applications in marketing, pricing, and operations to illustrate how this approach works in the real world. Read more.