Intel Vision 2025

The AI landscape is rapidly changing and as AI adoption accelerates, organizations need the flexibility to deploy AI solutions where they make the most sense—whether in the cloud, on-premises, or in hybrid environments. This session explores how businesses can implement AI solutions that balance performance, scalability, and cost-effectiveness. Learn how modern AI architectures, optimized hardware, and cloud-integrated solutions empower enterprises to implement AI with agility and control.

With every wave in industry trend, Red Hat has remained on the cutting edge of technology and has done it the open source way. By tackling operational inefficiencies and empowering developmental creativity, Red Hat has lead the industry in enterprise Kubernetes. With the newest integrations and engineering, Red Hat has been able to deliver Openshift AI, a turnkey platform built for the developer, data scientist and administrator alike. This session will encompass the AI portfolio Red Hat offers and how we apply it in the real world. AI from laptop to data center using out of the box features like Data science pipelines and AI workbenches to integrations with Gaudi, Hugging face and OpenVINO.

Running AI in the cloud allows you to scale your AI models and infrastructure up or down based on demand. Now, the latest cloud services give you more options to meet your cost, performance, and locality needs. Learn about new Inference as a Service offerings that let you choose your underlying hardware based on cost and performance needs—with no coding changes. See how IBM watsonx and Red Hat AI streamline deployments across hybrid clouds so you can run GenAI where you want.