Senior Technical Staff Member IBM Fishkill, New York, United States
AI is no longer just a tool. It is a collaborator in our evolving professional stories. Traditional AI automation follows predefined rules, but real-world challenges demand adaptability, problem-solving, and collaboration. Enter agentic AI and workflows. These AI systems don’t just execute tasks but reflect, plan, and dynamically work together to achieve complex goals. This session explores how agentic workflows mirror human intelligence. We will discuss real-world applications, challenges in trust and governance, and how AI can enhance rather than replace human decision-making. Join us to discover how agentic AI is reshaping enterprise automation, enabling AI systems to learn, adapt, and collaborate like us. Your story is evolving, and so is AI. Are you ready to embrace the future of intelligent workflows?
Learning Objectives:
Understand core patterns of agentic workflows to improve AI-driven automation.
Utilize agentic workflows versus traditional automation to boost productivity.
Evaluate trust and governance challenges in deploying agentic AI.
