22 October 2026 at 03:00PM
Olelo Video On Demand: 2025 PDD Eyal Darmon "AI Reinvention: Empowering People in the Next Wave of Innovation"
PMI Talent Triangle: .75 Ways of Working. .25 Business Acumen - self-reporting required.

Speaker:
Eyal Darmon
Speaker bio: Eyal leads Accenture’s Data, AI, and Agentic AI efforts across the North American public sector. He partners with public service organizations to turn emerging AI innovations into practical solutions that transform how services are delivered, how work gets done, and how organizations operate.His teams span strategy, consulting, technology, and operations. Together, they design and deliver Agentic AI solutions that help public sector organizations streamline operations and improve citizen experiences—making services more accessible, intuitive, and efficient.Eyal blends curiosity and pragmatism, using AI not just as a tool for innovation, but as a lever for meaningful impact on people’s lives.
Description:
Artificial Intelligence is entering a transformative phase that will redefine industries, economies, and the nature of work. This session explores the evolution from Generative AI, which enables content creation, to Agentic AI, which introduces autonomous decision-making and adaptive workflows. Participants will gain insights into how these technologies are reshaping organizational structures, accelerating software development, and driving operational efficiency. Through real-world examples and strategic frameworks, we’ll examine the opportunities and challenges of AI adoption, including governance, risk management, and responsible design principles. Attendees will leave with actionable strategies to harness AI for innovation while ensuring transparency, fairness, and accountability.
Learning Objectives:
1. Differentiate between Generative AI and Agentic AI and explain their impact on workflows and decision-making.
2. Analyze how AI-driven automation transforms organizational processes and roles.
3. Identify key governance and risk management considerations for responsible AI adoption.
4. Apply practical examples of AI-enabled efficiency improvements to project and operational workflows.
5. Evaluate strategic implications of AI for business models, compliance, and workforce development.



