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.

Join this session to get started with generative AI in your application development process using open-source tools like Podman AI to help build and serve applications with LLMs, InstructLab to fine-tune models locally from your machine, and OpenShift AI to handle the operationalizing of building and serving AI on an OpenShift cluster.

Tasks, Collections, Jinja, Modules, Filters, API's, Workflows, AND...Excel! - TD's network migration project had it all!

Hear the technical story behind TD Bank scaling up Ansible using every trick in the book, to mass migrate routing and switching between vendors across thousands of devices.

From custom python modules scraping configuration as code, jinja powered conversion to radically different vendor syntax, augmented with external data and bulk workflows for hundreds of conversions at a time.

Learn how you can use all the tools in Ansible's toolkit to orchestrate not just technology stacks, but operational tasks for humans as well. Presented in chronological order, follow the scaling of the playbook and the tasks that solved challenges during the project, and delivered success on time.

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.

The concept of open source software has remained successful throughout decades of technological evolution. Will that trend continue? In this session, we’ll explore the dynamics of carrying the core ethos of open source into the age of artificial intelligence (AI), including:The balance between intellectual property considerations and the power of AI ecosystems. The societal impact of AI and how open source plays a critical role in achieving its full potential.How Red Hat’s broad investment in AI organizations and projects helps create a foundation for future open source AI research, enterprise MLOps, and AI-infused development—including InstructLab, the AI Alliance, the Cloud Native Computing Foundation (CNCF) Kubeflow project, the CodeFlare distributed training infrastructure project, and participation in the Ray, Kserve and Pytorch open source communities.

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 in the 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 Ansible 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.

As more 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.

Today's hybrid cloud infrastructures demand robust and agile orchestration and automation. This talk delves into the combined capabilities of 3 tools: Red Hat Ansible Automation, ServiceNow, and Terraform. We will showcase 3 scenarios:

• Unified provisioning with Red Hat Ansible Automation Platform and Terraform: Unveil how, through a survey, you can provision a diverse range of resources, from Microsoft Windows to Red Hat Enterprise Linux. Experience the interaction where an Ansible workflow activates Terraform's infrastructure as code (IaC), culminating in real-time notifications for team awareness.
• ServiceNow bridging the gap: See ServiceNow in action, as it seamlessly invokes the Ansible survey job template (JT). This demonstrates the role of IT Service Management (ITSM) platforms in connecting user requests with backend automation, enhancing the user experience.
• Responsive automation with Event-Driven Ansible: Imagine a situation where resources are allocated outside the conventional systems. Event-Driven Ansible (EDA) comes to the fore, detecting these provisions and subsequently initiating controller actions. This ensures such provisions are swiftly dealt with, maintaining system integrity.

Additionally, we'll showcase how EDA can function after provisioning, integrating newcomers into Identity Management (IdM) and Active Directory. This not only enhances system security but also centralizes management.

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.

* 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