Agentic AI systems capable of autonomous reasoning, planning, and execution are quickly emerging as a transformative force in the enterprise. But scaling these systems requires an infrastructure that can handle multimodal data and orchestrate complex workflows, all without compromising performance or security.

The upcoming IBM TechXchange conference provides an excellent opportunity to learn about the latest developments in agentic AI with a session, “Enable Agentic AI at Scale in the Enterprise with NVIDIA and IBM”, that explores how two industry leaders are working together to accelerate the deployment of large-scale agentic AI capabilities.

Speakers Joseph Dain (IBM) and Jacob Liberman (NVIDIA) will show how the NVIDIA AI Data Platform, IBM Fusion, and IBM Storage Scale can work together as a high-performance foundation for agentic workloads. They’ll demonstrate the ability to extract the semantic meaning from video data, enabling a semantic search and summarization agent to quickly access the specific content the user is looking for, a capability that previously would have been impossible.

The focus is on practical insights for infrastructure engineers, solution architects, and AI strategists: how to design pipelines, optimize data flow, and unlock new levels of automation, decision-making, and operational efficiency.

TechXchange session 3508 takes place Wednesday, Oct 8, from 12:30 PM to 1:30 PM EDT in room S330E.