From Automation to Autonomy: Scaling Agentic AI Ecosystems for Enterprise Transformation

Every time I talk to people about AI, there’s this moment when we realize: automation was just the beginning. What enterprises really need now isn’t simply to do things faster, but to empower systems that think, decide, and act—to evolve from rigid processes into living ecosystems. That’s where agentic AI steps in. In my session, we’ll explore what it takes to move beyond traditional automation toward true autonomy. Together, we’ll cover: 1. What “agentic AI” actually means, how it differs from rules-based automation and where it overlaps with intelligent agents and self-learning systems. 2. Key building blocks: not just the algorithms, but the data pipelines, governance, human oversight, continuous learning, ethics, and feedback loops. 3. Scaling challenges: as agents move from pilot projects into full enterprise deployment, what tends to break? Some of the key use cases and transformations we’re already seeing across industries. 4. How to chart a practical roadmap for your own journey, identifying incremental steps, measuring value, aligning with strategic goals, and ensuring safety, fairness, and adaptability.
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Rajesh Sura is a distinguished data and AI leader with over 16 years of experience driving enterprise-scale data platforms, advanced analytics, and AI-powered decision intelligence. As Head of Data Engineering and Analytics at Amazon North America Stores, he leads the foundational infrastructure that powers strategy, automation, and reporting for thousands of users across Amazon’s global ecosystem. His career reflects deep expertise in data architecture, cloud computing, artificial intelligence, business intelligence, and external data integration—spearheading cloud-native BI transformations, launching NLP-driven analytics, and establishing governance frameworks that deliver scalable, compliant, and business-critical solutions across complex enterprise environments. A Senior Member of IEEE and Fellow of multiple global scientific societies, Rajesh is also a trusted advisor to international think tanks and innovation forums. He is an active global mentor on ADPList, a peer reviewer for Springer and Elsevier journals, and a judge for international hackathons and technology leadership awards. As a researcher, keynote speaker, and thought leader, Rajesh contributes extensively to the global data community through publications, talks, and advisory roles. Passionate about mentorship and ethical innovation, he is dedicated to advancing intelligent analytics systems that are not only powerful, but responsible.