IT leaders and business leaders are constantly being asked to make strategic decisions and make difficult tradeoffs to meet business goals. This year the challenges are even more challenging as they balance growing AI opportunities and increasing IT infrastructure costs. Learn how Red Hat is helping customers build solutions that address today’s challenges and establish a foundation for a future that includes standardized IT infrastructure, mission-critical automation, modernization, cloud and AI.

Whether you're exploring AI solutions or are ready for full-scale adoption, this is a session you don’t want to miss. From choosing the right model and customization techniques to deploying AI-enabled applications where you need them, this session will cover how Red Hat helps simplify your AI adoption journey. We’ll cover how Red Hat’s AI platforms - Red Hat OpenShift AI (RHOAI) and Red Hat Enterprise Linux AI (RHEL AI), current and future capabilities help organizations to develop, test, and run both predictive and gen AI models and power enterprise use cases across the open hybrid cloud.

OpenShift is best known for running container-based applications at scale. However, not every application can be or should be containerized. Resource-constrained corporate IT shops now contend with supporting modern, cloud-native applications, monolithic databases, and virtual machine-based solutions. OpenShift Virtualization closes the gap between modern cloud-native architectures and those virtual-machine based solutions. Join members of the OpenShift Virtualization product team and Red Hat’s IT department for an overview of OpenShift Virtualization and hear first hand how Red Hat uses OpenShift Virtualization internally for everything from hosting COTS applications to building RHEL. In this session, we will cover OpenShift Virtualization, some newer features that have just been released, and how Red Hat IT is leveraging OpenShift Virtualization across both internal data centers, as well as in the public cloud.

In this session, you will learn automation strategies for incorporating AI into an existing enterprise technology stack, with insights into removing siloes, improving governance and leveraging the Red Hat Ansible Automation Platform to drive operational efficiency. You'll get a better understanding of how enterprise automation and AI adoption will impact individuals and teams, alongside transformation lessons you can apply for your organization.

Maintaining security is a priority for every enterprise, but it can be hard to keep up with constantly evolving cybersecurity threats, let alone the controls provided by the OS to mitigate them. You will walk away from this session with practical knowledge of how to implement security controls on Red Hat Enterprise Linux, from disk encryption to application whitelisting, security hardening, and more. We’ll also remind you why you should stop disabling SELinux!

It’s hard to know how to translate the current hype about AI into a plan for enterprise AI adoption at your organization. In this session, we’ll discuss the end-to-end needs for enterprise AI platforms and how Red Hat’s AI platforms can help navigate your adoption journey, including the unique benefits of bringing Red Hat OpenShift AI and RHEL AI to: Help you get started with gen AI. Manage the requirements of your full AI/ML lifecycle deployment at scale. Using Red Hat OpenShift Pipelines and Red Hat OpenShift GitOps in tandem with OpenShift AI to create a single MLOps and DevOps platform. Connect your full AI/ML lifecycle to data without risking your organization’s intellectual property (IP). Create production-ready AI/ML models and connect them with core business applications following GitOps best practices.