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.

Join Red Hat subject-matter experts and your peers in financial services for a unique experience, learning about the latest technologies shaping the financial landscape. In this session, we’ll discuss AI strategies, OpenShift Virtualization, Ansible Automation, and supercharging developer productivity with the Developer Hub and trusted software supply chain.

In this session, we will discuss how BSC is leveraging Red Hat OpenShift®, and Red Hat OpenShift AI to deliver these solutions and scale SRE practices. We will be demonstrating an innovative use case incorporating a large language model (LLM) with retrieval-augmented generation (RAG).

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.

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 migration 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.

• 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.

This session is an opportunity to connect with other customers and Red Hat SMEs to engage in technical discussions, share use cases, and explore future roadmaps. After the session, we will continue to meet with your team post-event to develop action plans, workshops, and road map sessions to ensure forward momentum. Feedback and insights are broadly shared within the Red Hat community to better our products and improve your experience.

Panel discussion 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. We will also cover how RHEL AI delivers this as an enterprise supported foundation model platform, to help users seamlessly develop, test and deploy GenAI models.

The move to a modern infrastructure that supports AI is becoming a key transformation catalyst to support digital transformation that can deliver significant value to businesses. However, many companies struggle to initiate their transformation from legacy virtualization due to challenges such as lack of executive support, organizational silos, and budget constraints. This discussion provides a comprehensive guide on how to craft a compelling business case to overcome these obstacles and get your project approved. We will explore the essential elements of a business case, highlighting the diverse areas where OpenShift and AI can drive significant contributions. By showcasing real-world examples and strategic insights, this guide equips you with the knowledge and tools needed to gain executive buy-in, break down organizational barriers, and justify necessary investments. Join us to discover how to navigate your digital transformation successfully and leverage OpenShift and AI to achieve your business objectives.

* 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