Watch this on-demand webinar for a case study with GM Financial on deploying Machine Learning and Deep Learning applications using a flexible container-based architecture.
GM Financial, the wholly-owned captive finance subsidiary of General Motors, is a global enterprise in a highly regulated industry. Learn about their journey in implementing Machine Learning, Deep Learning, and Natural Language Processing – including how they’ve kept up with the blistering pace of change, while delivering immediate value and managing costs.
In this webinar, GM Financial will discuss some of 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
Don’t miss this webinar! Gain insights from an enterprise case study, and get perspective on Kubernetes® and other game-changing technology developments.