Driving AI Innovation with Machine Learning in the Enterprise
GM Financial, the wholly-owned captive finance subsidiary of General Motors, will discuss their AI journey with Machine Learning, Deep Learning, and Natural Language Processing. In this session, GM Financial will discuss their challenges, technology choices, and initial successes:
· Addressing a wide range of Machine Learning use cases, from credit risk analysis to improving customer experience
· Implementing multiple different tools (including TensorFlow™, Apache Spark™, Apache Kafka®, and Cloudera®) for different business needs
· Deploying a multi-tenant hybrid cloud environment with containers, automation, and GPU-enabled infrastructure
Gain insights from this enterprise case study, and get perspective on Kubernetes® and other game-changing technology developments.
Lynn Calvo is the AVP of Emerging Data Technology at GM Financial where he introduced big data analytics and machine learning capability into the lines of business and continues work with enabling its application for multiple AI use cases. Lynn is a recognized inventor on three US patents. He holds a master’s in Computer Science and is a former IT consultant servicing Fortune 50 clients with big data, data center, and security next-generation research. Lynn’s forward thinking and depth of knowledge allow him to skillfully leverage his 30-years of results-oriented IT experience into a winning model for GM Financial.