Keynote: Accelerating AI application delivery with Red Hat & ecosystem partners

In this session, learn how Red Hat, the world’s leading provider of enterprise open source solutions, is addressing innovation in AI by providing a powerful platform to get models into production faster. We’ll review how our key AI/ML ecosystem partners can help you simplify the deployment and lifecycle management of ML ISV software running on the Red Hat platform. And, we’ll recommend solutions that provide the flexibility and choice you need to meet your innovation goals. Discover how to: - Gain the flexibility to use containerized ML tools of your choice to quickly build, scale, reproduce, and share ML modeling results with peers and software developers. - Accelerate the delivery of AI-powered intelligent applications across data center, edge, and your cloud(s) of choice. - Enable collaboration across your organizations and teams - data scientists, software developers, and IT operations - to eliminate silos and speed implementation of ML models. - Utilize leading software and solutions to realize innovation and achieve business results from AI/ML. - Eliminate dependency on IT to continuously provision infrastructure for iterative, compute-intensive ML/DL modeling tasks, with the goal to achieve the highest prediction accuracy. About the speaker: Bill Wright is currently responsible for AI/ML and intelligent edge initiatives in the Vertical Industries and Accounts organization. He is a member of the Red Hat AI Leadership Team, and began Red Hat’s early efforts in AI networking. He previously worked on establishing global standards for AI/ML in Mobile Networks as a member of the ETSI ENI working group. His background includes starting VMware’s Telco group, which pioneered the R&D that led to the first production NFV implementation in the industry. Red Hat collects your personal data when you submit such information as part of the registration process. For more information Red Hat’s Privacy Statement, please see: https://www.redhat.com/en/about/privacy-policy