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Red Hat OpenShift: Your intelligent platform for applications and virtualization
Join our Red Hat OpenShift roadmap session for an overview of its evolution into an intelligent application platform.
Discover how OpenShift integrates agentic AI to streamline operations, accelerate troubleshooting, and improve efficiency for container, VM, and AI/ML workloads. We will also cover new support for post-quantum cryptography, native multi-cluster capabilities, extended lifecycles, and digital sovereignty.
Learn how these built-in capabilities simplify development and management across hybrid cloud environments, positioning OpenShift as your catalyst for innovation and success in today’s digital ecosystem. Simon Tan, OpenShift Virtualization Senior Specialist Solution Architect, Red Hat |
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Modernize fast without losing your safety net
Join Red Hat and Veeam to learn how to modernize on Red Hat OpenShift without leaving a protection gap behind you regardless running on containers or virtualization. Veeam Backup & Replication v13.1 now protects Red Hat OpenShift Virtualization VMs natively, so teams lifting and shifting off legacy hypervisors keep the workflows, repositories, and immutable backups they already trust. Kelvin Mun, Veeam Kasten Specialist APJ, Veeam |
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Powering the future: The next-generation IT automation platform
Already have automation in place but unsure how to integrate AI? You don't need to start from scratch. Instead, you can build directly on your existing investments.
In this session, we will demonstrate how to converge task-driven, event-driven, and AI-driven automation to solve complex operational challenges.
You will learn:
- How to harmonize task-driven, event-driven and AI-driven automation into a unified workflow.
- How Red Hat Ansible Automation Platform serves as the central orchestration engine across these different types of automation.
- Why existing governance and security policies are critical when scaling AI.
Through a practical, real-world walkthrough, discover how to operationalize AI without disrupting your production infrastructure. If you want to leverage AI while maintaining operational stability, this session is for you. Nicholas Chia, Automation Platform Specialist, Red Hat |
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Coffee break, networking and solution showcase
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Navigating the AI and Quantum Frontier with Red Hat Enterprise Linux
The next generation of Red Hat Enterprise Linux (RHEL) is here, designed to accelerate IT operations while future-proofing your critical infrastructure. This session explores how the latest RHEL updates help you balance rapid innovation with uncompromising security.
Key highlights include:
- AI-Powered Operations: Streamline maintenance and reduce toil with advanced AI-driven tools and AI-guided upgrades.
- Next-Gen Security: Protect your environments against emerging threats using Sealed Images and quantum-resistant certificates.
- Hybrid Cloud Efficiency: Scale seamlessly with robust image-mode enhancements and deep Red Hat Satellite lifecycle management integration.
Join us to discover how to maintain rock-solid stability while empowering modern enterprise workloads across any scale. Gulshan Prasad, Red Hat Enterprise Linux Specialist Solution Architect , APAC, Red Hat |
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The data foundation for modern infrastructure: VMs, Containers, and AI on Red Hat with Everpure
Enterprises are being asked to modernize virtualization, run modern applications, and stand up AI — often all at once, and often on separate stacks. How do you do all three without trading one lock-in for another? Everpure (formerly Pure Storage) and Red Hat make it one decision, not three: a single platform on Red Hat OpenShift, with a shared data foundation beneath it all. In this session, we'll discuss how Portworx by Everpure delivers reliable performance, protection, mobility, and resilience across every VM, containerized application, and AI workload on OpenShift — whether at the Edge, in the Data Center, or in the cloud.
Jaikrit Negi, Cloud Native Architect, APJ Cloud and Data Services, Everpure Glenn Teo, Specialist Solution Architect, Application Platform, Red Hat
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Navigating the challenges of sovereign AI: From principles to deployment patterns
As organizations transition AI from experiments to foundational applications, they face complex mandates. True Sovereign AI requires more than data localization; it demands a comprehensive strategy across data, operations, assurance, and technology. Many leaders mistakenly believe this necessitates fully isolated, on-premise deployments, which can hinder scalability and create fragmentation.
This session demonstrates how to translate these constraints into scalable architectures using a pattern-based approach. We will explore deployment models, such as the Sovereign Cloud Pattern, to help balance regulatory requirements with AI innovation. Attendees will learn to establish a layered platform architecture for a closed-loop AI lifecycle, ensuring models and data remain within legal boundaries while providing the verifiable audit trails required for trust.
Join us to discover how to leverage open hybrid foundations to deploy policy-driven, auditable Sovereign AI at scale.
Sivaram Shunmugam, Ecosystem Solutions Architecture Director, APAC, Red Hat Rambabu Parvatina, IBM Technical Partner, Global Solutioning, IBM Consulting
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Accelerate cloud native enterprise AI and sovereign AI with HPE AI Factory solutions
Artificial intelligence is reshaping the enterprise, but success starts at the core. Join HPE and Red Hat to discover how scaling from edge Micro AI Factories to core AI Factories unlocks transformative intelligence. We will show how modernizing virtualization and containerization builds the essential cloud-native foundation to power these workloads. See how our joint solutions deliver secure, high-performance sovereign cloud environments—empowering organizations to scale AI rapidly while maintaining strict data control and compliance.
Murali TS, Director, Technology, Cloud Native AI Practice, APAC, Hewlett Packard Enterprise
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From zero CVE to zero trust
The "Mythos moment" has arrived, and frontier AI is now capable of autonomously discovering, chaining, and exploiting vulnerabilities at machine speed. How do you defend your infrastructure, when the time to exploit vulnerabilities is now measured in hours, not on weeks?
In this session we'll explore how Red Hat takes a "Defence in Depth" approach across our products. We'll explore new capabilities like Red Hat Hardened Images, the Zero Trust Workload Identity Operator, and even using AI to better secure AI.
Join this session to learn how you can better use the "batteries included" security capabilities with your Red Hat subscriptions." Anthony Lin, OpenShift Specialist Solution Architect, ASEAN, Red Hat |
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Turning AI ambition into AI reality: How Red Hat AI Enterprise delivers production-ready AI with confidence, control, and efficiency
Join Red Hat as we tackle why most AI initiatives stall, not because the models don't work, but because organisations can't operationalise them.
We'll identify the four barriers to real AI value: spiralling economics, safety and trust gaps, inconsistent quality, and the struggle to reach production.
Underlying all four is one root cause: embedding non-deterministic models into business processes that demand predictability. We'll unpack the six controls that resolve this tension and turn ambition into reliable, governed AI systems, and introduce GenAIOps: the discipline, practices, and platform capabilities that make those controls real at enterprise scale.
Walk away with a clear framework for assessing where your own AI initiatives stand and what's needed to get them to production with confidence. Sandip Sharma, AI Sales Specialist, Red Hat |
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From migration to AI Innovation with Microsoft and Red Hat
Learn how Microsoft and Red Hat help organizations move from traditional virtual machines and applications to containers and AI on one open, jointly supported platform. This session will show how Azure Red Hat OpenShift and the broader Red Hat portfolio on Azure enable phased modernization, allowing organizations to migrate existing workloads, modernize applications at their own pace, strengthen operational consistency, and create a scalable foundation for AI innovation. Sachin Nagpal, Regional Director - Engineering, AI and Infrastructure - Solution Sales (Asia), Microsoft |
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Become your organization’s AI provider: Private model-as-a-service with Red Hat AI
AI adoption often leads to siloed models, fragmented infrastructure, and governance challenges. This session explores how Red Hat AI enables organizations to become their own Private Model-as-a-Service provider, delivering secure, governed AI models through self-service APIs.
Learn how to centralize model serving, optimize GPU utilization, enforce governance, and provide a scalable AI platform across hybrid cloud environments, empowering developers to consume AI without managing the underlying infrastructure. Jing Wen Ng, Specialist Solution Architect, AI, APAC, Red Hat |
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Coffee break, networking and solution showcase
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Implementing a trusted agentic software factory
Join Red Hat as we explore how AI agents are reshaping software development and why the security foundations built for human-speed development can't keep pace with machine-speed risk.
Regulators are raising the bar for secure software supply chains and AI governance as autonomous coding agents move from novelty to mainstream practice, creating both opportunity and risk at speed. We'll introduce the Trusted Software Factory: an SLSA Level 3-aligned architecture that embeds security, policy enforcement, and traceability directly into the build pipeline, built on Red Hat OpenShift Platform Plus and the Red Hat Advanced Developer Suite. We'll then look ahead to the agentic SDLC spectrum, from simple copilots to autonomous, self-directed development agents, and to what it takes to safely operationalise agentic coding at enterprise scale.
Walk away with a practical model for securing software as development itself becomes agentic. Faruq Zafir, OpenShift Specialist Solution Architect, ASEAN, Red Hat |
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Sovereign AI to autonomous operations
Today, every organisation has an AI strategy, but as AI adoption grows, managing multiple AI tools, agents, models and data environments becomes increasingly complex. K2 by Keppel Technology Solutions was built to address this challenge. As a Sovereign AI Platform for Enterprise, K2 brings an organisation's entire AI ecosystem into a single, governed framework, enabling faster AI adoption while maintaining security, compliance and control. By unifying models, agents, data and infrastructure under one operating model, K2 helps enterprises maximise their AI investments, optimise costs and turn fragmented AI initiatives into trusted business outcomes, all while retaining sovereignty over their AI future. Koh Choon Kiat, Director, Hybrid Cloud, Data & AI Services, Keppel Technology Solutions |
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Operationalizing the full AI stack with Red Hat AI: From bare metal to Agentic AI
Agentic AI is reshaping enterprise application development, but realizing its value requires more than deploying models. It requires an operational AI platform spanning infrastructure, inference, model serving, evaluation, governance, and lifecycle management.
This session explores how Red Hat AI operationalizes the full AI stack, from Model as a Service, AgentOps, AI Safety and Evaluation for production workloads. Attendees will learn how Red Hat AI provides a secure, scalable, and open foundation for building, deploying, evaluating, and governing AI applications across hybrid cloud environments. The presentation also examines emerging trends including open weight models, token economics, AI governance, and the evolution toward agentic AI.
Through architectural guidance and real-world examples, participants will gain practical strategies for operationalizing enterprise AI with continuous evaluation, observability, security, and governance while maintaining flexibility, compliance, and control. Cheng Bin Tham, AI Senior Specialist Solution Architect, APAC, Red Hat |
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Unlock AI-driven automation: From AIOps insights to trusted action
Your observability and AI platforms are generating insights faster than teams can act on them. Yet insights alone do not resolve incidents. Every manual handoff between detection and remediation adds delay, inconsistency, and operational risk.
In this session, we will explore the missing layer in many AIOps strategies: a trusted, governed execution framework that transforms insights into action while preserving the auditability, change control, and compliance enterprise operations demand.
Using Red Hat Ansible Automation Platform, we will show how organizations are closing the loop between insights and action through automated remediation, self-healing workflows, and intelligent orchestration, while establishing the governance and execution foundation required for agentic AI. Vinoth Kumar Saruva Sivaprasad, Associate Principal Specialist Solution Architect, Automation, ASEAN, Red Hat |
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