Simplify AI Adoption for faster time to value
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. Watch this episode 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
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Martin Isaksson | Lead GTM & Business development EMEA, AI BU, Red Hat
Over the last decade, Martin has been focused on exploring the opportunities that AI and deep learning offers to business leaders. With experience ranging from conducting AI research with Stanford University to leading a Silicon Valley AI startup, Martin now uses his skills to lead Red Hat’s AI go-to-market strategies and business development in EMEA.