Technology Operating Model for Enterprise AI Adoption
Cloud Native Summit via YouTube
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Explore enterprise AI adoption through a comprehensive technology operating model framework in this 36-minute keynote session from Cloud Native Summit 2025. Learn from Red Hat's Andreas Spanner, CTO Office and Global Engineering leader for Asia Pacific, and Ahilan Ponnusamy, Application Platform Technologies specialist, as they share insights on building necessary capabilities for successful AI implementation in enterprise environments. Discover how to make optimal technology, methodology, and architecture choices when adopting AI at scale, drawing from extensive experience in enterprise transformation programs across automotive, ERP, supply chain, and core banking systems. Gain practical understanding of how hybrid cloud architectures and cloud-native application development practices support AI initiatives, with real-world examples from implementations across Europe, North America, and Asia Pacific regions. Understand the critical intersection of intelligent edge computing, platform engineering, and enterprise AI strategies that enable organizations to create sustainable value through technology transformation.
Syllabus
CNS 2025 - Technology operating model for enterprise AI adoption - Keynote Session
Taught by
Cloud Native Summit
Reviews
4.0 rating, based on 1 Class Central review
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This course provides a comprehensive framework for implementing AI at an enterprise scale. The content is well-structured, covering key aspects of technology operating models, governance, and adoption strategies. I found the real-world examples particularly helpful for understanding how AI can be integrated into existing processes. Highly recommended for professionals looking to drive AI adoption in their organizations.