Name: Deploying containerized AI-enabled applications
Start: 2025-07-15T15:00:00Z
End: 2025-07-15T15:01:04.000Z
Location: BrightTALK
Rating: 5

Discover how Red Hat’s open hybrid cloud delivers IT services on any infrastructure quickly and cost effectively with a broad portfolio of hybrid cloud infrastructure, application services, cloud-native application development, and automation solutions.

Identity security is inherently complex—regardless of your role, organization, or location. And when it comes to machine identity security—protecting virtual machines, containers, and now, artificial intelligence agents—the challenge is even greater.

Security leaders are grappling with the scale, diversity, and dynamic nature of machine identities, making protection efforts more difficult than ever.

Join Red Hat and CyberArk for an engaging webcast that brings together two industry thought leaders for an insightful discussion and open dialogue on the evolving landscape of machine identity security.

What You’ll Learn:
The current state and latest developments in machine identity management
How to navigate the complexity introduced by the velocity, variety, and volume of machines, including containers and serverless architectures
The advantage of a full-stack security strategy
The implications of AI agents as a new form of identity

Being secure with machine identities

Is siloed collaboration halting your predictive AI rollout? This webinar confronts those challenges head-on, showing how MLOps pipelines and Red Hat OpenShift AI can help you implement a truly collaborative, agile framework for AI. Learn how to transform chaotic handoffs into a seamless, enterprise-ready AI pipeline that delivers measurable, continuous advantage.

What you'll gain from this session:

Understand what MLOps is and why you need a machine learning pipeline.
Learn strategies to overcome common challenges that slow AI initiatives.
See a real-world pipeline example predicting the next great music hit.
Preview our immersive “MLOps Enablement with Red Hat OpenShift AI (AI500)” training course.
Join us to learn how Red Hat can partner with you to accelerate AI initiatives across the enterprise.

Unleashing Collaborative AI: Creating a Fast-Paced Pipeline Across the Enterprise

tbdRising costs, outdated technology, and tech sprawl are challenging IT leaders who are  trying to optimize their virtualization landscape. Strategically migrating virtual machines — and the associated technologies like containers and storage — to a modern hybrid platform is a preferred tactic for many, but presents a host of challenges: potential downtime, data integrity risks, integration and compatibility issues, and poor performance. In this webcast from Red Hat and NetApp, you’ll hear how a platform approach to virtualization can address the common challenges, while serving as a pathway to IT modernization.

Optimizing your virtual landscape — Discover a modern approach to migrating and modernizing VMs, containers and storage

AI has become an integral part of modern applications, enabling personalized experiences, predictive analytics, automation, and more. Deploying AI-enabled models requires addressing several key issues and a strategy for deployment on a purpose-built platform.  Assessing your data’s quality, volume, and relevance and choosing the right model to balance accuracy with performance is critical.  But deployment isn't just about the model—it's also about the infrastructure. Organizations must consider the compute resources, storage, and networking requirements as well as legal and ethical standards, to ensure scalability, security, flexibility and ease of use.

Red Hat helps to automate the entire AI lifecycle from model development to deployment and monitoring, leading to more reliable AI applications and quicker iteration cycles. This enables organizations to build, deliver, and manage their own AI-enabled applications and services across any cloud, on-premise, or edge environment

Join this webinar to learn about:

-Key considerations before deployment
-Choosing a platform for AI deployment
-Deployment strategies and best practices

Deploying containerized AI-enabled applications

Technology breakthroughs are democratizing AI and making it more accessible to build gen AI applications and organizations are now more prepared than ever to take advantage of this innovation,  but they still struggle to realize value quickly. 

Lack of collaboration between AI developers/data sciences, app developers and IT cause friction that creates bottlenecks. AI development is a process, not a singular step and it requires organizations to operationalize AI development through a MLOps process in collaboration with their DevOps workflows.

Join this webinar to learn how Red Hat helps organizations to enable the right technology and involve the right people to realize value faster from AI with a common modular, composable platform to build, train, tune, serve, deploy, monitor and manage AI workloads in any environment.  You will learn how Red Hat’s approach: 

-Simplifies adoption and reduces cost
-Supports existing use cases as well as future innovation
-Accelerates AI across the hybrid cloud

Simplify AI Adoption for faster time to value

Generative AI (GenAI) has changed the game in terms of new products and service offerings, improved customer experiences, and accelerating efficiency and productivity, but the technology is changing rapidly.  Enterprise organizations of every size are under pressure to identify, choose, build, and deliver these AI solutions. They need ready-to-use solutions that provide a quick ramp up and allow scaling at their own pace without making large investments or having a strong AI knowledge base.

The key challenges that they face include: 
-Option fatigue. They are met with too many options and approaches for getting started with their AI projects.
-Budget, hardware, and data requirements. There is no one-answer-fits-all solution. Both predictive and generative AI models require large data sets, skilled personnel, and specialty hardware and deciding where to train or deploy models can affect budget, hardware accessibility, and data concerns.
-Scale across the model and application lifecycle.. Once models are ready to be incorporated into existing and new applications, then a new set of challenges arises such as: scalability, resource management (storage and hardware), lifecycle management, and monitoring. As more and more applications are modernized with AI, enterprise organizations will need to consider the impact on IT operations and the effort it takes to manage and automate the lifecycle of both models and applications.

Join this Red Hat webinar to learn how Red Hat’s approach to AI helps organizations overcome the challenges of getting started quickly and scaling AI deployments consistently with enterprise-ready, curated open source AI innovation.

Red Hat AI to fuel innovation

Learn how the rise of artificial intelligence is transforming the way organizations build, deploy, and scale their platforms. In this webinar, we’ll discuss the findings from the most recent Platform Engineering Survey by Red Hat and Illuminas, spotlighting the trends and best practices that can help you stay competitive with your engineering teams. Our experts will share insights from the survey showing how forward-thinking IT leaders are accelerating innovation, reducing complexity, and driving business value through their platform engineering initiatives.

Platform Engineering in the Age of AI

Red Hat OpenShift Virtualization is an add-on component to Red Hat OpenShift that allows you to run virtualized workloads in the same infrastructure as your existing containerized workloads. For those who are already familiar with OpenShift, the concepts and tools you already know can be applied directly to running virtual machines on your existing infrastructure, affording you the opportunity to lift-and-shift virtual machines into OpenShift and then containerize those applications without huge changes to your infrastructure. In a live demo, which is the first in a two-part series on OpenShift Virtualization and migrations, we will explain the installation and configuration of the OpenShift Virtualization operator, as well as the creation and management of virtual machines. In part two, we will discuss the Migration Toolkit for Virtualization that will allow you to migrate virtual machines at scale into your new OpenShift Virtualization environment.

Introduction to OpenShift Virtualization

In the rapidly evolving IT landscape, modernizing your infrastructure from traditional virtualization platforms is critical for staying competitive. However, such migrations can often be complex, time-consuming, and fraught with risks of downtime.
Join us for a live webinar on [date], where we will introduce you to the Red Hat Migration Toolkit for Virtualization (MTV) — a comprehensive set of tools designed to simplify and accelerate the migration of virtual machines (VMs) from alternative virtualization platforms to OpenShift Virtualization.
This session will cover everything from planning your migration and configuring the necessary environments to executing and validating the migration with minimal service disruption. Our experts will demonstrate how MTV automates many of the migration tasks, reducing the manual effort required and simplifying such transitions.` 

Whether you’re looking to move from Red Hat Virtualization, VMware, or even exploring the possibilities with OpenStack, this webinar will provide you with practical insights and real-world examples to ensure your migration is successful - and leverage tools such as Red Hat Ansible Automation Platform to scale.
Don’t miss this opportunity to learn how the Red Hat Migration Toolkit for Virtualization can enhance your IT infrastructure’s efficiency and scalability. Reserve your spot now and start your journey towards a smoother, more efficient migration.

Effortless VM migration: Streamlining your path to success

In the dynamic landscape of virtualization, effectively deploying your virtual desktops is key. Adopting a flexible approach that allows for both on-premise and cloud deployments empowers you to align your VDI strategy with your operational, financial, and security objectives.

Learn how to:

Deploy virtual desktops on-premise or in the cloud for consistent, highly available operations
Reduce operational complexity through automation
Maintain robust security and compliance
This presentation is ideal for IT infrastructure managers, architects, LOB leaders, and CXOs seeking an efficient, scalable, and secure virtual desktop solution.

*Red Hat collects your personal data when you submit information as a part of the registration process within BrightTALK. By registering for any of our webinars, you agree that Red Hat and the Red Hat Partner Program may contact you by email about products, services, and offerings that may be of interest to you. You may opt out at any time. For more information, please visit our Privacy Policy and Partner Preference Center: https://connect.redhat.com/en/partner-preferences. By registering for this webinar, you agree that, in addition to Red Hat, your registration information may be shared with Citrix and you may be contacted via email by Citrix.

Architecting Citrix Virtual Apps and Desktops with Red Hat OpenShift Virtualization

Join this Red Hat webinar, hosted by Omdia, to explore the importance of hyperscaler cloud marketplaces and how customers can take advantage of this exciting new procurement route. Red Hat’s Oliver Reid and Canalys (now part of Omdia) explode some of the biggest myths around marketplaces and assess the many benefits of embracing this modern deployment platform as part of an effective technology and commercial strategy.

Busting the biggest myths of cloud marketplaces

In today's hybrid IT landscape, virtual machines and containers coexist across environments, posing challenges for IT leaders aiming to modernize infrastructure, protect investments, and maintain stability. The need to optimize costs, update licensing, and prepare for AI workloads only adds to this complexity.

This webinar highlights how Red Hat OpenShift Virtualization offers a unified platform for running VMs and containers, supported by a robust partner ecosystem. During the session, Red Hat experts will provide insights on:

• How to assess your virtualization environment before migration
• Ways the Red Hat partner ecosystem integrates storage, networking, and data protection
• Strategies to modernize infrastructure while safeguarding investments
• Tips for transitioning skills and workloads effectively

Tune in now to discover how Red Hat, together with partners, can help you build a flexible, cost-effective strategy for modern virtualization.

Elevate your virtualization strategy - Building your ideal solution with Red Hat and partners

Are you adopting or considering Red Hat OpenShift to modernize your VM or cloud-native workloads? This webinar is for you. 

Modernization with OpenShift provides scalability, availability, and agility, but without comprehensive protection, your business and data remain at risk. It’s essential to protect your modernized workloads with unified operations, at scale — wherever they run.    

In this session, you’ll learn how to: 
- Build a complete data resilience strategy for hybrid workloads 
- Operationalize and safeguard your hybrid environment
- Protect your cloud-native workloads on Red Hat OpenShift

Join us to discover how to secure your OpenShift workloads and keep your business future-ready with confidence.

Veeam & Red Hat: Resilient by Design - Protecting Your Hybrid and Cloud-Native Workloads

Modernizing virtual machine environments is typically seen as a long, risky, and architecture-disruptive project. But it doesn’t have to be. In this webinar, Red Hat and Arctera share a behind-the-scenes look at how a global financial institution modernized 20,000 VMs—without costly storage re-architecture, data migrations, or prolonged downtime. Whether you're planning your own move from traditional virtualization, exploring OpenShift Virtualization, or looking to avoid the pain of storage redesigns, this session will give you actionable insights.

You'll hear:
- How OpenShift Virtualization enabled the move from traditional VMs to a modern, container-native platform.
- How InfoScale provided seamless, resilient storage continuity across heterogeneous environments.
- Strategies to decouple compute and storage modernization to dramatically accelerate timelines.
- Lessons learned from the team who delivered one of the fastest VM modernization projects in the financial sector.

Arctera & Red Hat: Fast lane to VM modernization

Are you feeling the pressure to modernize your virtualization environment but concerned about vendor lock-in, data security, or the daunting migration process? In this panel discussion from Red Hat Summit 2025, you’ll hear from key leaders at Red Hat, Advent One, Cohesity, and Portworx as they discuss how to navigate this critical transition with confidence.

This session explores how Red Hat OpenShift Virtualization offers a dual advantage: addressing your immediate commercial challenges while providing a robust, future-proof platform for containerization and AI. 

This panel highlights how:
•  OpenShift Virtualization serves as a unified platform for both virtualization and the journey to containers and AI.
•  A strong partner ecosystem reduces vendor lock-in, enhances data protection, and minimizes migration risks.
•  Customers are successfully modernizing and reducing VM footprints by moving to OpenShift.

Red Hat & Partners: OpenShift Virtualization in action panel discussion

No one likes disruption, especially when it impacts your critical infrastructure. If market dynamics have caused you to rethink your virtualization strategy, now's the time to explore news ways to meet your goals. Consider this: according to IDC 62% of organizations are already using containers, and 28% of organizations are actively looking to invest in the technology in the next 12-18 months. What if you could migrate and deploy new and existing virtual workloads alongside containers on the same platform? And how valuable would it be to scale infrastructure programmatically to run virtualized and container workloads, anytime and anywhere?

Join this webinar to learn how Red Hat and Cisco are providing a fully tested and validated blueprint to modernize application infrastructure based on a single, unified platform for virtualization and containers with Cisco UCS. You'll come away with a new vision for building future-ready infrastructure for application modernization.

Virtualization got you down? Red Hat and Cisco can help.

How can you meet current virtualization needs while preparing for a future that includes containerized applications and workloads? Join us for an insightful webinar exploring the strategic shift in the virtualization landscape. As organizations seek alternatives, Red Hat OpenShift Virtualization emerges as a robust solution, offering a unified platform for container and virtualized workloads. F5 offers a comprehensive suite of products specifically designed for application availability and security throughout the migration process. 

Learn how F5 and Red Hat can help you take the next step, including:

• The advantages of migrating VMs to Red Hat OpenShift Virtualization.
• Practical insights on achieving a streamlined migration.
• How F5 solutions can enhance the security and efficiency of your migration efforts.

F5 & Red Hat: Red Hat OpenShift Virtualization Migration & Security with F5

ESG roundtable: Building your ideal solution with Red Hat and partners

AI has become an integral part of modern applications, enabling personalized experiences, predictive analytics, automation, and more. Deploying AI-enabled models requires addressing several key issues and a strategy for deployment on a purpose-built platform.  Assessing your data’s quality, volume, and relevance and choosing the right model to balance accuracy with performance is critical.  But deployment isn't just about the model—it's also about the infrastructure. Organizations must consider the compute resources, storage, and networking requirements as well as legal and ethical standards, to ensure scalability, security, flexibility and ease of use.

Red Hat helps to automate the entire AI lifecycle from model development to deployment and monitoring, leading to more reliable AI applications and quicker iteration cycles. This enables organizations to build, deliver, and manage their own AI-enabled applications and services across any cloud, on-premise, or edge environment

Join this webinar to learn about:

Key considerations before deployment
Choosing a platform for AI deployment
Deployment strategies and best practices

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Deploying containerized AI-enabled applications

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