Deploying AI agents in enterprise environments presents a unique set of challenges that extend beyond implementation and into organizational strategy, risk assessment, and long-term scalability. This panel brings together industry leaders to unpack critical considerations, including how to assess and mitigate risks like automation bias, ensure traceability in agentic AI systems, and evaluate whether single or multi-agent architectures are best suited to your business goals. Panelists will also explore how to differentiate between types of AI—including GenAI and agentic systems—what successful operationalization looks like, and how to drive change management and literacy across teams. Whether you're exploring adoption or refining your strategy, this session will help you better understand the trade-offs, architecture decisions, and cultural shifts required to deploy AI agents responsibly and effectively.
Stephen Gatchell
VP of Data and AI StrategyBigID
Stephen Gatchell is VP, Data and AI Strategy at BigID. With expertise in AI & data governance, strategy execution, and product innovation, Stephen has developed and influenced cutting-edge solutions for companies EMC, Dell, Bose and BigID. He holds a patent on Hierarchical Value-Based Governance Architecture and is a recognized thought leader, contributing to industry standards, innovation councils, and graduate-level education. Stephen's work has earned him multiple awards for excellence in governance and data strategy.