Unlocking Industry 4.0 with DataOps & AI

A core goal of Industry 4.0 is to create adaptive manufacturing systems that respond to real-time data, improving efficiency, quality, and decision-making. Achieving this requires more than just AI—it demands a strong data foundation that ensures AI models can operate at the edge, where adjustments need to happen instantly.

In life sciences manufacturing, this challenge is even greater due to strict regulatory requirements and the complexity of process data. Industrial DataOps and the Unified Namespace (UNS) provide a structured, scalable way to manage and deliver real-time data, enabling machine learning (ML) models to continuously adapt processes without disrupting operations. Through a live demonstration, we will showcase:

• How Industrial DataOps & UNS enable adaptive, AI-driven manufacturing
• The role of real-time process AI in improving efficiency and compliance
• A live demonstration of AI models dynamically optimizing a process at the edge

This session will provide a practical understanding of how data, AI, and Industry 4.0 come together to support real-time decision-making in regulated industries.