Driving High Impact Business Outcomes from Artificial Intelligence
Artificial Intelligence has entered a renaissance thanks to rapid progress in domains as diverse as self-driving cars, intelligent assistants, and gameplay. Underlying this progress is Deep Learning – driven by the explosion of digital data, hardware advances, and algorithmic breakthroughs. One of the biggest challenges for AI in the enterprise is that each company—even within the same industry—has unique problems. So, for the most part, businesses today need capabilities to engineer custom AI solutions to drive specific value and create strategic differentiation. Challenges abound in the area of strategy, technology, and talent. The information and opportunity for AI development, however, is out there. We’ll examine how deep neural networks are being used to drive business outcomes in the enterprise for fraud detection and industrial IoT.
Director Advanced Analytics & Data Innovation
Dr. Frank Saeuberlich is the Director of Advanced Analytics and Data Innovation at Teradata Germany and a member of the Teradata Germany leadership team. Previously, as Director of Data Science International, he led Teradata's International Data Science team in a role combining demand generation across EMEA and APJ with analytical innovation. He joined Teradata in July 2012. Before joining Teradata Frank worked at Urban Science International where he was responsible for the Urban Science Customer Solutions practice in Europe. He holds a Doctors degree in economics and a Masters degree in economic mathematics from the University of Karlsruhe.