As more financial organizations look to accelerate their adoption of artificial intelligence (AI), they are finding that bringing large language models (LLMs) to production is challenging, often requiring expensive resources and are hard to reproduce. Additionally, developers must understand deployment processes and synchronize application development with required data science end-to-end workflows. Red Hat OpenShift® AI can help your organization create production-ready LLMs, bring them to production faster with MLOps, and infuse developers’ applications with AI. In this session, we’ll discuss how to:

• Optimize LLMs using repeatable, end-to-end machine learning (ML) workflows orchestrated via data science pipelines.
• Move LLMs from training to production with MLOps.
• Improve data security by keeping critical workloads on premise while using public cloud environments for everything else.
• Help developers integrate Quarkus with OpenShift AI and understand how MLOps and DevOps align.

We find common themes as the automotive industry reevaluates its overall virtualization strategy. Join us as we address the challenges faced by large, global automotive manufacturers, irrespective of whether they are on-premise, on-edge, in plants, or in a public cloud. Regardless of where virtualization is needed, sensitivity must be around people-process and tech in a new, modernized virtualization platform within a container. Join us to hear of some approaches that are key to moving forward.

In today’s landscape of escalating cybersecurity threats, software supply chain security has emerged as a critical priority for financial organizations. The interconnected nature of modern software development and deployment processes has exposed vulnerabilities within the softwaresupply chain, making it a prime target for malicious actors seeking to exploit weaknesses for various purposes, including data breaches and system compromises. Therefore, ensuring the integrity and security of the software supply chain has become imperative to safeguarding sensitive data, protecting customer trust, and maintaining regulatory compliance. In this session, learn how platform engineering has emerged as a strategic technology trend in optimizing software delivery processes by streamlining the developer experience and facilitating efficient workflows. It can enable organizations to adopt and scale DevSecOps and secure their software supply chains, measurably reducing the security risk to the business.

Be at your best. When people need you the most. The technology landscape in healthcare is unique. Overwhelming data, data integration requirements, and vendor-dependent software, all collide together in a dated technical landscape. With the right IT strategy, we can change this landscape to engage more people with their health and wellness, using an agnostic platform approach. Join our healthcare session as we discuss AI, cloud and automation impacts on your industry.

Join Red Hat as we bring together federal government and IT professionals to explore what technologies are powering agency missions more effectively and securely than ever before. Join us to discuss artificial intelligence, event-driven IT automation, and hybrid cloud.

As more financial organizations look to accelerate their adoption of artificial intelligence (AI), they are finding that bringing large language models (LLMs) to production is challenging, often requiring expensive resources and are hard to reproduce. Additionally, developers must understand deployment processes and synchronize application development with required data science end-to-end workflows. Red Hat OpenShift® AI can help your organization create production-ready LLMs, bring them to production faster with MLOps, and infuse developers’ applications with AI. In this session, we’ll discuss how to:

• Optimize LLMs using repeatable, end-to-end machine learning (ML) workflows orchestrated via data science pipelines.
• Move LLMs from training to production with MLOps.
• Improve data security by keeping critical workloads on premise while using public cloud environments for everything else.
• Help developers integrate Quarkus with OpenShift AI and understand how MLOps and DevOps align.

Explore Event-Driven Ansible (EDA) within Red Hat Ansible Automation Platform in our insightful workshop. Uncover the nuanced orchestration of EDA, showcasing Kafka as event catalysts and rulebooks as the blueprint of dynamic automation. Participants will craft intricate decision environments and delve into the real-time communication synergy of ChatOps and automation, elevating team awareness and response.

Key Takeaways:

• Unravel EDA’s adaptive automation within Red Hat
• Master the crafting of precise decision environments
• Witness the fusion of ChatOps and automation for enhanced team connectivity

Join this hands-on-lab to learn how the InstructLab project aims to simplify GenAI model alignment tuning and enable a community-based approach to model development. We will discuss how IBM Research has partnered with Red Hat to open source IBM Granite LLMs & InstructLab model alignment tools, based on the LAB (Large-scale Alignment for chatBots) methodology. Finally we will cover how RHEL AI delivers this as an enterprise supported foundation model platform, to help users seamlessly develop, test and deploy GenAI models.

In the ever-evolving landscape of information technology (IT), containers emerged as a fundamental component that revolutionized software development, deployment, and management. These lightweight and portable units encapsulate applications and their dependencies. However, operating system customization remains a persistent challenge during day two configuration management and the initial creation of operating system (OS) images.

This lab introduces image mode, a novel approach to address these issues using bootc images. This approach combines the capabilities of Open Container Initiative (OCI) container images with the power and flexibility of Red Hat Enterprise Linux.

Virtualization is more than just deploying a VM and handing it over to the application team. As an infrastructure architect and virtualization admin, you’re responsible for the platform, including how to manage the hardware, apply patches and updates, configure and manage storage, and more.

Join us for a hands-on lab and overview of OpenShift Virtualization where you’ll experience managing virtual machines and the underlying infrastructure using OpenShift’s cloud-native paradigms and methods. Learn from our experts about OpenShift Virtualization, along with the platform management tools and methods that will assist you with modernizing your approach to deploying and managing a virtualization platform.

Migrating painlessly from a CentOS system to Red Hat Enterprise Linux (RHEL) before upgrading to the latest version is a dream scenario for many system admins. However, CentOs and RHEL are not identical, and upstream Linux changes a lot between major Red Hat versions. But these challenges don’t mean that this dream can’t come true!

Join this session to learn how—whether at once or in phases—to make a painless CentOS to RHEL migration a reality.

Organizations are faced with a challenge: how to invest in innovation (like modernization and AI) in the face of flat budgets, unknown innovation costs, and recent pricing and packaging changes virtualization space. Something has to give. What's needed is a holistic approach that not only finds a new virtualization platform for existing VMs, but helps you evolve from VMs to containers and serverless, and from traditional applications to cloud-native apps and AI. OpenShift Virtualization can be part of the solution: with a migration factory that uses Red Hat Anisble Automation Platform to accelerate migraation and Red Hat Advanced Cluster Management to orchestrate migration and day 2 tasks as well. In this session, we will introduce you to OpenShift Virtualization, its features, comparisons with other platforms, and how it can meet your current virtualization needs. We will also look at how the whole Red Hat portfolio of Ansible®, RHEL, and Red Hat OpenShift can help you do more with less budget, optimize your training and skills requirement on standardized platforms, and help you deliver your modernization and AI objectives.

IT organizations are struggling to scale and keep up with the increasing number of regulatory programs, changing controls requirements, and continuous compliance expectations. Automation can help teams automate policies and govern compliance in their regulated environments so that the development experience is tuned to the regulations rules and the applications are systematically validated before deployment. With Ansible pipelines for compliance, teams can now:

•  Complete the validation or enforcement on their controls automatically.
• Administer remediations or mitigation actions.
• Gather the required evidence and posture for their audit reports.

This technology makes it easier for teams to automate policies and bridge them to compliance to regulate development and deployment. It has flexibility in controls, rules, and policy and actions and can be used by teams without an extended project or deep coding skills. In this session, we'll discuss:

• How to get started.
• Policy as code automation via Open Policy Agent (OPA) engine.
• Compliance as code authoring via Trestle.
• The solution's flexibility due to its architecture and usability.

Join this session to learn more about how to take the next step with your automation strategy.

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.

This session provides a hands-on technical discussion of Ansible from the perspective of a former Lead Engineer for the FBI’s Biometric Information System. It will cover how the FBI used automation to remove barriers between disconnected departments, improve efficiencies, and facilitate mission-critical outcomes.

* Available to executives only

CXOs understand the potential competitive advantage offered by Generative AI. A new Harvard Business Review Analytic Services (HBR-AS) survey reveals a critical truth: 77% of Executives believe Gen AI will revolutionize their industries. Yet, many struggle with developing and implementing an AI strategy that best fits their business model and needs as well as minimizing costs and maximizing their return on investments.  

Join Red Hat executives, Alex Clemente, Harvard Business Review founding managing director, and your peers as we discuss the concerns and opportunities associated with AI innovation. We’ll also share real examples of how other organizations are leveraging AI to transform their business.  
Don’t miss this opportunity to walk away with an action plan for success. Directly after the session, we’ll have a cocktail mixer giving you more time to continue these impactful conversations with your peers. 

Topics for discussion include:

• Barriers and challenges such as automation, data curation and trust, security, governance, business processes, hybrid cloud strategy, and virtualization 
• Strategic Roadmap Development: Learn how to craft a clear plan for successful Gen AI deployment, from infrastructure to the edge
• Workforce Impact: Understand the evolving role of humans alongside Gen AI and how to navigate cultural complexities with adopting AI