Artificial intelligence is rapidly moving beyond isolated copilots and prototypes into enterprise-scale systems that must operate reliably across infrastructure, workflows, teams, and governance boundaries.
Yet many organizations still struggle to move from experimentation to durable operational impact.
This session explores what it actually takes to build “agent-ready” organizations in the emerging era of agentic AI.
Topics will include:
– Why many enterprise AI initiatives stall after the prototype stage
– The shift from models → systems → autonomous workflows
– Agentic AI architectures and orchestration patterns
– Infrastructure realities: edge, cloud, distributed inference, and scalability
– Governance, evaluation, and human-in-the-loop design
– Organizational readiness and AI operating models
– Practical lessons from enterprise AI deployments, startups, and research ecosystems
The session will combine systems-level technical insight with practical enterprise transformation perspectives for engineers, researchers, startup founders, and technology leaders interested in operationalizing AI responsibly and effectively.
Speaker(s): Chhavi,
Agenda:
Agenda
– San Diego IEEE & WIE
– Introductions
– Speaker Presentation
– Queestions and Answer
– Upcoming Sessions & Events
Virtual: https://events.vtools.ieee.org/m/559053
