AI Conference 2026: Turning Intelligence into Action for the Future of PLM

AI at the Core of the Product Lifecycle

The Cerebital team attended The AI Conference 2026 in San Francisco, a global gathering where researchers, developers, and industry leaders explored how artificial intelligence is evolving from experimentation to enterprise infrastructure.

This year’s theme was clear: operationalizing AI responsibly, efficiently, and at scale.

For Cerebital and our PLM platform, Nora IPLM, this mission resonates deeply. The discussions reinforced our vision of an AI-driven PLM ecosystem that connects design, data, and decisions into a continuous cycle of intelligence.

Knowledge Graphs + RAG: Building the PLM Digital Brain

Retrieval-Augmented Generation (RAG) and Knowledge Graphs were standout topics, presented as the foundation of enterprise AI. RAG allows large language models to access live organizational knowledge, while Knowledge Graphs structure relationships between data, designs, and decisions.

Together, they form a digital brain that connects every element of product development, enabling AI to answer questions such as:

“Which past designs used the same alloy and failed under vibration testing?”

Cerebital is advancing this vision by integrating RAG and graph-based reasoning directly into Nora IPLM and creating a platform that continuously learns, adapts, and improves.

RAG allows large language models to access live organizational knowledge, while Knowledge Graphs capture structured relationships between data, designs, and decisions. In the context of PLM, this combination forms a digital brain that connects every element of product development. It enables AI to answer queries like: “Which past designs used the same alloy and failed under vibration testing?”

Cerebital is advancing this vision by integrating RAG and graph-based reasoning directly into Nora IPLM, creating a platform that learns and adapts with every iteration.

Read full guide here…