Enterprises are rapidly evolving to manage AI-ready data, scale AI, automate IT operations, and modernize applications within hybrid cloud environments. By embracing open source innovation, AI-powered automation and hybrid cloud agility, organizations can unlock new opportunities for growth, resilience and differentiation. The future is open, intelligent and automated, the time to lead is now.
Join IBM at Red Hat® Summit, booth 1133 to engage in thought-provoking discussions and interactive demos. Gain firsthand knowledge on how to drive innovation, efficiency and revenue growth through AI-powered solutions. Visit us as we discuss how IBM can help your organization:
- Operationalize AI with optimized infrastructure
- Enhance AI for trust, performance and value
- Scale AI with an intentional hybrid cloud
- Boost DevOps with accelerated IT automation
Also, visit the IBM LinuxONE AI Arcade at booth 1141 for an interactive experience with an IBM® LinuxONE virtual machine. Install and build classic arcade games and explore the power of artificial intelligence and machine learning with a Jupyter-powered fraud protection demo.
AI models rarely operate in isolation, they span public cloud, on-prem, and edge compute environments. This creates challenges in workload mobility, security, and data control. Fragmented infrastructures slow down AI pipelines, introduce silos, and increase the complexity of scaling AI models across environments.
This session focuses on building an intentionally-designed hybrid cloud infrastructure that adapts to dynamic workloads. Learn how to:
- support AI model training and deployment with highly secure, high-performance computing;
- make application modernization simpler across hybrid cloud environments;
- deploy storage solutions that enhance AI workloads with flash-optimized architecture and intelligent data placement.
The result is a unified AI infrastructure that scales horizontally and vertically, running AI models where the data is.
AI innovation is often constrained by rigid infrastructure and fragmented pipelines. As AI models grow more complex, training, deployment, and orchestration processes become disjointed, slowing the entire lifecycle. An open AI ecosystem can remove these bottlenecks and speed model-to-production workflows.
In this session, we’ll share technical demonstrations of how to unite isolated AI into flexible, cross-environment pipelines that simplify model training, tuning, and deployment across cloud and on-premise environments. Join us to learn how an adaptive AI platform breaks down barriers to foster innovation and achieve efficiency and security at scale.
AI adoption often stalls, not because of AI itself, but because of IT bottlenecks. Cloud provisioning is slow, app deployments are complex, and manual workflows create a reactive environment. As AI models evolve, these outdated processes can’t keep up, delaying innovation and making AI scaling a cumbersome task.
This session explores how AI can enhance automation to transform IT operations into self-optimizing systems. Demos will highlight the latest integrations with Red Hat solutions that create dynamic resource allocation, automated workflows, and intelligent monitoring, empowering customers to build an IT environment ready for AI innovation.
Program Director - watsonx Code Assistant for Ansible
Director of Product, Terraform HashiCorp, an IBM Company
Senior Product Manager, watsonx.ai®, IBM
Chief Product Officer, IBM Z® and LinuxONE | MHV Senior Location Executive
Group Product Manager, Instana Observability, IBM
STSM - Executive Architect, Cloud Services, IBM
Manager, Solution Delivery Lead, Payments Canada
Product Marketing Manager, Granite, IBM
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