Christine
Rizzo
Senior Software Engineering Manager at Red Hat, Inc.
"The 4-Pillar Blueprint for Scale: Leading Generative AI Transformation from Pilot to Global Enterprise"
"The 4-Pillar Blueprint for Scale: Leading Generative AI Transformation from Pilot to Global Enterprise"
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Session: The 4-Pillar Blueprint for Scale: Leading Generative AI Transformation from Pilot to Global Enterprise
Despite a surge of experimentation following the rise of generative AI, the majority of companies remain stuck in the "micro-productivity trap"—a state characterized by fragmented pilots that fail to scale and deliver enterprise-level ROI. This stagnation persists because leaders often mistake AI adoption for a simple technology deployment rather than a comprehensive business transformation.Despite a surge of experimentation, many organizations struggle to navigate the complexity of AI adoption, finding themselves in the "micro-productivity trap" where fragmented pilots fail to scale and deliver enterprise-level ROI. This stagnation occurs because leaders often underestimate the scope of the necessary transformation.
Drawing on my experience as the leader of my organization's AI adoption initiative, this session provides senior leaders with the actionable, four-pillar framework necessary to cross the critical chasm between isolated experiments and Stage 3: "Developing AI ways of working." This blueprint focuses on practical and strategic tactics to build a truly resilient, AI-native organization.
We will detail how to manage complexity by securing C-suite mandate, transitioning monolithic systems to a globally distributed, resilient architecture, and employing zero-based process redesign for step-change value. Critically, we will focus on the Synchronization pillar: sharing proven strategies to champion "human-machine symbiosis" and "skills amplification", turning the workforce into orchestrated, intent-driven teams. I will also cover the essential framework for Stewardship, discussing how to operationalize trust through compliance standards like the NIST AI RMF and principles derived from the EU AI Act. Attendees will gain the strategic tools to lead AI adoption as a comprehensive organizational change, not just a technical deployment.Attendees will learn how to leverage my 18+ years of experience in software engineering and leadership to secure an executive leadership mandate, drive zero-based process redesign, and build the empowered, future-ready teams necessary to transform AI from a series of experiments into a core engine of sustained competitive advantage.
Key Takeaways
- Master the cultural shift required for an AI-ready workforce by championing "skills amplification" and "human-machine symbiosis
Bio
Christine Rizzo is a Senior AI & Cloud Transformation Leader with over 18 years of experience in software engineering and leadership, known for transforming complex technological challenges into strategic, high-value business solutions. At Red Hat, Christine was asked to spearhead the AI adoption initiative for our organization, leading the critical transition from experimentation to enterprise-wide scaling.Her expertise spans AI Strategy and Digital Transformation, demonstrated by her leadership in driving the strategic vision for the Hyperfleet architecture, migrating the platform to a globally distributed, multi-regional service, and her certification in Generative AI and LLMs: Architecture and Data Preparation.
A graduate of the MIT Sloan + CSAIL Artificial Intelligence: Implications for Business Strategy Program and the Engineering Leadership Accelerator program, Christine is deeply committed to coaching, mentoring, and fostering team empowerment, specializing in creating inclusive, high-performance cultures that thrive through human-machine symbiosis. She is proficient in English and French..
