Artificial Intelligence is entering a new era defined by autonomy, reasoning, and action. Agentic AI — systems capable of independently planning, making decisions, and executing multi-step tasks — is rapidly reshaping how enterprises operate, compete, and deliver value. Unlike traditional AI models that respond to isolated prompts, agentic systems orchestrate tools, data, and workflows to achieve business outcomes with minimal human intervention.
This talk offers a comprehensive exploration of Agentic AI through both a technical and functional lens. It begins with the foundational concepts, covering the architecture of AI agents, the role of large language models as reasoning engines, and the frameworks that enable memory, tool use, and multi-agent collaboration. From there, the discussion shifts to the transformative opportunities that agentic systems unlock across industries, including productivity gains, intelligent automation, and new models of human-AI partnership.
The session will then examine practical use cases across key business functions such as finance, supply chain, customer experience, sales, human resources, and IT operations, highlighting real-world examples where agentic AI is already driving measurable impact. Attendees will gain insight into implementation considerations, including governance, risk, integration with enterprise systems, and strategies for responsible adoption.
The talk concludes with a forward-looking perspective on how organizations can prepare for an agent-driven future and build the capabilities required to lead in this space. Designed for business leaders, technologists, and practitioners alike, this session aims to demystify Agentic AI and equip the audience with a clear framework for identifying, evaluating, and advancing agentic opportunities within their own organizations.
Speaker(s)
Anupam Banerjee
Practice Manager – Innovation Labs @Miraclesoft
Ex-Ford, Ex-APTIV
M.S. – Mike Illitch School of Business – Wayne State University
Rahul Cavan
AI Engineer @Miraclesoft
M.S. – University of Michigan – Dearborn
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