Industrial AI adoption is no longer limited by awareness but by execution—especially poor data structure, legacy systems, and lack of workflow integration in manufacturing environments. Real value comes from tailored, use-case-driven AI built on company-specific data, not generic models or broad transformation efforts.
Industrial AI delivers the most value in everyday, high-frequency processes, like predicting train door failures, where accuracy, reliability, and domain-specific data are critical. However, the real challenge isn’t the technology itself but organizational readiness, including data sharing, workflow integration, and preserving expert knowledge.
Siemens’ CTO on industrial AI: train doors matter more than brakes Read More »
Dassault Systèmes introduced Virtual Companions on the 3DEXPERIENCE platform—AI-powered assistants (Aura, Leo, Marie) designed to support engineering, testing, and scientific workflows across the product lifecycle. By combining AI reasoning with validated multi-disciplinary models, the tools aim to improve compliance, traceability, and efficiency in complex industrial environments.
Introducing AI Virtual Companions for Industrial Innovation Read More »