Red Hat at IBM Think 2025

Image mode for RHEL is a new approach to build, deploy and update the operating system using container native tooling. This approach brings application-style workflows to infrastructure, creating a shared language between development, operations, and security teams. It's especially powerful for fast-evolving environments like AI/ML stacks, where consistency and agility are key. Image mode enables automated, verifiable updates and rollbacks, minimizes configuration drift, and supports fully immutable system partitions. We’ll explore how to treat your OS like firmware: tested, reproducible, and updated as a unit.

Eighty-two percent of enterprise leaders cite IT complexity as a barrier to innovation. As demand for AI-driven application delivery rises, success hinges on doing hybrid cloud right—standardizing operations, eliminating silos, and building scalable systems of record. Explore how IBM, HashiCorp and Red Hat are helping clients establish a modern automation foundation through Infrastructure, Security and Network Lifecycle Management, connecting these practices to simplify Day 0 to Day N operations while enabling organizations to scale confidently in a hybrid and multi-cloud world. Join IBM to explore how a modern, policy-driven approach to automation empowers enterprises to unify AI-ready IT operations and meet the demands of digital transformation.

As enterprises move AI applications from pilots to production, they face three key challenges: cost, complexity, and flexibility. Scaling large models is expensive and requires specialized talent. Customizing AI with private data adds complexity, especially for teams lacking deep expertise. And rigid platforms limit flexibility across hybrid environments. In this session, we’ll introduce how Red Hat AI, including OpenShift AI, addresses these challenges with a trusted, consistent platform. From tuning efficient, domain-specific models to deploying across clouds, data centers, and edge, Red Hat AI helps organizations scale AI effectively—without vendor lock-in.

Agentic workflows have the potential to extend the impact of generative AI to every corner of the business. However, if not developed carefully, agentic automation can lead to increased risk, performance inefficiencies and costs. Optimized AI requires transparency across the agent development lifecycle, flexibility at every layer of the AI stack, ability to select and customize the right model for your use case, and robust evaluation capabilities to ensure your AI solutions adhere to your specific enterprise requirements. By empowering developers with a streamlined, unified, and optimized AI development stack, enterprises can build faster, scale AI with confidence, maximize ROI, and drive business growth.​

As IT environments grow more complex, so do the risks—downtime, security threats and escalating costs. Traditional tools and approaches fall short in preventing disruptions before they impact business operations. Enterprises need a smarter, more automated approach to resilience. IBM delivers AI-powered resilience, automated remediation and cost optimization to ensure continuous performance and business continuity. By unifying automation, observability, cost governance and security, IBM helps enterprises move from reactive troubleshooting to proactive, intelligent resilience. The future of application resilience starts now.

Organizations across industries are realizing that success hinges on their ability to leverage their most precious asset - their data. While the ultimate goal is to unlock the value of all your data, the journey to get to that point is just as important. Instead of starting with the question “which AI will I use,” the journey to tactical impact with AI should start by asking “which platform should I use." A hybrid architecture approach meets your data and IT where they are,while managing costs and enabling better AI capabilities. Learn how a well-designed hybrid architecture unifies data; takes advantage of high-performance computing; and improves security to support you on your journey to success with AI at scale.

From AIOps and AI infrastructure to AI enhancements in the Red Hat Ansible Automation Platform experience, Ansible is the key to unlocking more value from AI with mission-critical automation that makes managing modern IT environments simpler, smarter and more effective at scale. Ansible unlocks the potential of AIOps, bridging the gap between siloed tools and processes, and converting observability data into meaningful, actionable insights that drive operational efficiency and resilience. Join this session to learn how to leverage the Red Hat Ansible Automation Platform to deliver strategic automation and achieve greater speed to value from your IT infrastructure investments, including IBM Terraform.

Today's business leaders are discovering a harsh truth: while everyone faces the same technical challenges in deploying AI across hybrid environments, only a select few are turning these obstacles into market-dominating advantages. Deploying AI-enabled applications across hybrid environments presents challenges such as data management, latency, security, model consistency, and cost optimization. The winners in this space are already emerging—make sure your organization is among them.

Is your organization truly ready for the AI era? While businesses around the world aspire to use artificial intelligence, outdated applications remain barriers to innovation. Understand how forward-thinking organizations are transforming their applications into AI-ready assets without sacrificing business continuity or breaking the budget. Reshaping modernization efforts through AI-powered automation. And learn about the latest approaches to overcoming common modernization challenges in scalability, integration, and cost optimization while maintaining business agility. Join us to explore how to navigate the hybrid cloud journey with confidence and speed.