Red Hat Summit: Connect 2024

In 2022 CentOS Stream and the end-of-line for CentOS was announced. A year later in summer of 2023 Red Hat revoked access to RHEL sources and the open source, Join us in an effort to clarify the changes made by both Red Hat and the CentOS community, and understand how it will change the open source world

Understand the technical underpinnings of retrieval-augmented generation (RAG) in AI systems, including how Open Platform for Enterprise AI provides a framework for AI building blocks and facilitates the integration of LLM

In this session we will discuss how we can utilize the flexibility provided by RedHat OpenShift being able to deploy solutions where most suitable and still make sure that the data this solution either produce or need are governed and handled correctly. Governing data is becoming increasingly more important, both because authorities requires this through legislation (like NIS2) or through the certications paradigms that many of our customer wants/must adhere to (like ISO and NIST). And the handling of data in hybrid setups has become even more important in the light of GenAI, not that this was not important before.

Short story from the trenches about the journey from a management idea to a production platform.

Become a hero by using OpenShift Virtualization and Ansible Automation Platform to make VMs fun again. We will demontstrate an end to end workflow to build, run and manage VM's at scale using the proven virtualization technology in OpenShift. Apply cloud native principles and automation to leverage new capabilities.

Automation can be a powerful tool to streamline and scale a business effectively. By automating repetitive tasks, businesses can save time, reduce errors, and improve overall efficiency, allowing them to focus on more strategic and value-added activities. During this session you will get familiar with the essential elements of a successful automation strategy. Understand how to incorporate emerging technologies into your automation strategy to improve efficiency and productivity.And learn how to design and implement a secure, reliable, and scalable IT automation architecture.

Red Hat Ansible Automation Platform, Dynatrace Davis AI, and the Dynatrace observability and security platform enables closed-loop remediation to automate the process from detecting a problem, identifying the root cause, and executing corrective actions. This way, disruptions are minimized, MTTR is significantly decreased, and DevSecOps and SREs collaborate efficiently to boost productivity.

AI is the hottest topic in the IT industry, with the promise of generating new business opportunities, making advances within life science and many other areas. But how do you get started building and implementing AI models? How do you protect your data? How do you make sure your model is robust and trustworthy? HPE makes OpenShift and AI workloads consumable, just like in public cloud, but on-prem - Easy for you to manage, or even “managed for you” - Sensitive data stays on-prem. - Run your AI projects in a secure and on-prem environment

In today's rapidly evolving technological landscape, the need for real-time data processing has become essential, especially in AI and machine learning applications. We will delve into several key use cases where streaming data platforms serve as the backbone for AI-driven solutions. By enabling seamless integration and data flow across various systems, Kafka empowers organizations to process vast amounts of data in real-time, allowing for quicker insights and more responsive decision-making.

Ignoring the possibilities of AI is risky business. At the same time a lot of our best practices are suddenly bad habits New habits and new thinking are needed. Therefore, we must address how to overcome management reluctance and how to save our company from inertia. Important stuff you should know about. Knowit invite you to YABTAA - Yet Another Talk About AI - enabling yoy to get started with AI the awesome way.

Join Neurospace and Red Hat for an introduction to AI. Get an understanding of how to start up AI projects and select the platform that is right for your company, on premise or in the cloud. Neurospace is a Red Hat Partner that works within the AI space from Education to Model building. This talk will be both for technical personnel and leaders on all levels.

Red Hat OpenShift Service on AWS combines the power of Red Hat's OpenShift Kubernetes platform with the scalability and flexibility of Amazon Web Services (AWS). Fully managed service enables organizations to easily build, deploy, and manage containerized applications in the cloud. With automated operations, integrated security, and a streamlined developer experience, businesses can accelerate innovation and reduce operational complexity. Red Hat OpenShift Service on AWS makes it easier to run workloads across public and private clouds.

On overall Automation, more specifically on Ansible Automation platform – how we are using it to increase and strengthen our automation journey, This session focuses mainly on Ansible Automation Platform, how to setup it up as configuration as code to be provided as Automation as a service, by requesting which users/developers can onboard quickly, get all relevent resources, integrations, guidelines and also access to an organized operating model to get required support going forward.

Ansible automation in the enterprise: most certainly! In our daily lives: ...perhaps? Can we use Ansible for the most important task of all, automating household chores? Let's find out!

The fusion of Red Hat's open-source prowess with Google's AI capabilities has the potential to revolutionize the instant payments landscape in several profound ways: Enhanced Security and Fraud Detection, Improved Transaction Speed and Efficiency, Personalized Customer Experiences, Expansion into New Markets and Driving Innovation. The partnership between Red Hat and Google AI can bring about a new era of instant payments, one characterized by increased security, efficiency, personalization, and accessibility. By leveraging the strengths of both organizations, payment providers can gain a competitive edge and deliver exceptional value to their customers.

In the spirit of envisioning an inclusive and advanced future, this session will explore thetransformative power of open source in democratizing artificial intelligence (AI). As we venture into uncharted territories, we will delve into the pivotal roles played by RHEL AI and OpenShift AI in making advanced AI technologies accessible to everyone. Lets boldly go where no one has gone before, together.

Traditional Linux management at scale presents challenges for DevOps workflows. This session will introduce Image Mode for Red Hat Enterprise Linux and how standardised container tooling and automation will enhance security, simplify management and deployment into hybrid environments.

Whether it is modernizing applications, improving developer productivity, shielding against software supply chain attacks, or embracing the rise of generative AI - enterprises face a myriad of challenges to remain competitive and ensure their business remains resilient. In this talk attendees will learn how building on a Hybrid Application Platform and implementing a platform engineering approach is key to ensuring enterprises solve these problems in a way that allows them access to the greatest innovation and greatest flexibility for future change. The talk will walk through key considerations to help build and modernize apps, increase developer productivity, improve supply chain security, and adopt AI with technical details and customer examples.

Introducing a new community-based approach to build truly open-source LLMs.

Red Hat offers the world’s leading enterprise Linux platform, along with tools like Insights, Satellite and Image Builder to simplify Linux management. Join this session to discover the latest updates and upcoming features for RHEL, Insights, and Satellite.

There is a lot of hype around AI - some warranted others not so much. Come and get an overview of what AI means to you as a developer. Will show with concrete examples and tips on how to explore GenAI today using Java, especially Quarkus