Join manufacturing leaders at the Cognizant Manufacturing Innovation Center at MxD for a closed-door discussion, live demos, and peer exchange on turning connected data into real operational intelligence.

​

Manufacturers have no shortage of data, but what they often lack is trusted, real-time intelligence that can drive autonomous decisions.

​

Manufacturers have invested heavily in sensors, platforms, and cloud infrastructure. Yet critical decisions on the shop floor are still made with delayed, fragmented, or context-poor data. Physical AI changes this. But only if the data backbone is right.

​

Physical AI is not about deploying isolated automation. It’s about building adaptive systems that learn, act, and improve in real-world manufacturing environments.

​

Without a Unified Namespace, AI models remain disconnected from the physical world they are meant to optimize.

​

At scale, this disconnect doesn’t just slow AI adoption. It introduces operational, compliance, and decision-risk.

​

This roundtable explores how manufacturing leaders are using UNS to:

• Establishing a single trusted operational truth across plants

• Operationalize AI beyond dashboards and pilots to decisions that matter

• Scale intelligence without ripping out brownfield systems across plants, lines, and ecosystems

• Translate Unified Namespace into Physical AI use cases that enable adaptive, real-time decision making on the factory floor

 

Hosted at Cognizant Manufacturing Innovation Center at MxD, Chicago, this session shows how advanced technologies are tested, proven, and scaled on real-world machines. Leaders attending will move beyond discussion to see how Physical AI and real-time intelligence come together on the factory floor.

​

Led by Cognizant and AWS, this exclusive, closed-door session is designed for manufacturing leaders focused on turning AI ambition into real operational impact.