Generative AI holds the promise to transform industries, yet countless organizations find themselves stuck in the experimentation phase. Moving AI workloads from isolated pilot projects into reliable, full-scale production is a complex challenge with technical hurdles and organizational silos. Cross-functional teams often lack a shared vocabulary, and bridging the gap between innovative technology and existing corporate culture remains a significant roadblock to realizing AI's true business value. Join us for an exclusive overview of our GenAIOps Enablement with Red Hat AI Enterprise (AI501) training course to discover how to overcome these hurdles. This episode will demonstrate how to solve the production puzzle by combining Red Hat's enterprise-grade technology with targeted enablement services. We will explore how platforms like Red Hat OpenShift and Red Hat OpenShift AI provide the robust, scalable infrastructure needed to deploy and manage AI workloads securely. In this episode, we’ll cover: - Bridging culture and technology: How to break down organizational silos and use storytelling to unite cross-functional teams around a shared generative AI strategy. - Accelerate the path to production: The strategic frameworks required to confidently transition generative AI workloads from the experimentation phase into scalable, secure environments. - Optimizing AI infrastructure: The core building blocks for effectively deploying, managing, and scaling AI solutions using Red Hat OpenShift and OpenShift AI. - Leveraging real-world strategies: Actionable methodologies drawn from successful customer use cases and demonstrations to help you drive measurable business outcomes. - Whether you are an AI developer, a platform engineer, an IT architect, or an executive upskilling your workforce, this session will equip you with a unified strategy. Discover how Red Hat’s integrated software products and enablement services provide the exact foundation your organization needs to successfully operationalize generative AI.
Maurizio Montel is a Learning Architect and Red Hat Certified Engineer® (RHCE®) with over 20 years of expertise spanning software development, hybrid cloud infrastructure, virtualization, and technical writing. As the AI Subject Matter Expert for the EMEA Training & Certification Team, Maurizio spearheads the regional scaling of the "AI501: GenAIOps Enablement" program. He is responsible for designing comprehensive, customer-facing training and empowering training facilitators across the region.
David is the Global AI Delivery Leader at Red Hat, where he owns the strategy and frameworks for how Red Hat Services delivers AI outcomes for customers worldwide. He works across engineering, product, and global consulting teams to turn enterprise AI from proof-of-concept into production reality, with a focus on open, repeatable delivery built on OpenShift and Red Hat AI. A hands-on practitioner as much as a strategist, David runs his own AI and infrastructure experiments to keep his guidance grounded in what actually ships. He lives in Albuquerque, New Mexico.
