Predictive AI has been used by telecommunication service providers for many years. GenAI is the new kid in town, with growing expectations to provide innovative ways to lower cost and drive new revenue streams. When it comes to AI, service providers have options. They can buy ready made solutions off the shelf or partner with innovative companies. They also have the option to task their data scientists, data and ML engineers as well as their application developers with tuning AI to their specific needs. This session will look at these options in more detail and provide a guide for partnering and in-house developments.

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.

Event-Driven Ansible introduces additional Ansible content types that are used to ingest and evaluate events to trigger actions. Join this session to learn about developing rulebooks and plug-ins and dive deeper into event handling and data transformation. You'll learn about different integration patterns and event transports for receiving payloads from the upstream source, as well as how these new content types can be packaged into collections and built into decision environments.

Session topics include:

• What are the different Event-Driven Ansible content types?
• How can I create my own event source plug-in?
• What are the different integration methods for receiving events?
• How can I read the event payload and write a condition against the event structure?
• How can I distribute my source plug-ins and rulebooks?
• What are best practices or getting started tips for writing rulebooks and plug-ins?

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.

[FED] 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.

[SLED] Join Red Hat experts and your peers for an interactive discussion on current trends and best practices in state and local government and education. Learn how agencies and universities are using Red Hat technologies and solutions to deliver higher quality services faster - while improving the security, stability, and privacy of systems.

Predictive AI has been used by telecommunication service providers for many years. GenAI is the new kid in town, with growing expectations to provide innovative ways to lower cost and drive new revenue streams. When it comes to AI, service providers have options. They can buy ready made solutions off the shelf or partner with innovative companies. They also have the option to task their data scientists, data and ML engineers as well as their application developers with tuning AI to their specific needs. This session will look at these options in more detail and provide a guide for partnering and in-house developments.

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.

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.

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Proin eget massa volutpat lacus fringilla efficitur. Proin iaculis, odio euismod lacinia congue, lorem metus pharetra nunc, ac varius metus magna vitae nulla. In nec augue eleifend, varius nisl non, tincidunt mauris. Sed euismod volutpat ipsum, vel facilisis dui accumsan et. Nullam tincidunt, mauris ac tristique pulvinar, lectus augue euismod risus, sed interdum nulla est eget nulla. Nulla faucibus, metus ut tempus euismod, nulla ex ornare risus, et tincidunt justo urna vitae nunc. Donec viverra nulla elit, quis placerat neque dapibus ut. Donec aliquet in felis ut placerat. Quisque a posuere massa. Donec consequat justo eget risus ornare rhoncus. Sed vehicula semper porta. Nunc eget magna diam. Nulla sed dui id ante sollicitudin pretium.

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Proin eget massa volutpat lacus fringilla efficitur. Proin iaculis, odio euismod lacinia congue, lorem metus pharetra nunc, ac varius metus magna vitae nulla. In nec augue eleifend, varius nisl non, tincidunt mauris. Sed euismod volutpat ipsum, vel facilisis dui accumsan et. Nullam tincidunt, mauris ac tristique pulvinar, lectus augue euismod risus, sed interdum nulla est eget nulla. Nulla faucibus, metus ut tempus euismod, nulla ex ornare risus, et tincidunt justo urna vitae nunc. Donec viverra nulla elit, quis placerat neque dapibus ut. Donec aliquet in felis ut placerat. Quisque a posuere massa. Donec consequat justo eget risus ornare rhoncus. Sed vehicula semper porta. Nunc eget magna diam. Nulla sed dui id ante sollicitudin pretium.

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Proin eget massa volutpat lacus fringilla efficitur. Proin iaculis, odio euismod lacinia congue, lorem metus pharetra nunc, ac varius metus magna vitae nulla. In nec augue eleifend, varius nisl non, tincidunt mauris. Sed euismod volutpat ipsum, vel facilisis dui accumsan et. Nullam tincidunt, mauris ac tristique pulvinar, lectus augue euismod risus, sed interdum nulla est eget nulla. Nulla faucibus, metus ut tempus euismod, nulla ex ornare risus, et tincidunt justo urna vitae nunc. Donec viverra nulla elit, quis placerat neque dapibus ut. Donec aliquet in felis ut placerat. Quisque a posuere massa. Donec consequat justo eget risus ornare rhoncus. Sed vehicula semper porta. Nunc eget magna diam. Nulla sed dui id ante sollicitudin pretium.

* 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