ABB’s Rajesh Ramachandran outlines how Industrial AI, combining contextualized data, analytical AI, generative AI, agentic AI, and digital twins is helping industries progress from automation toward increasingly autonomous operations.

Nova SMAR’s Octávio Paschoal explores how standardized interfaces, software-defined flow computing, and user-defined function blocks can extend O-PAS beyond traditional process-control applications.

Servitization is turning product-in-use telemetry and Industrial Data Fabrics into strategic foundations for proprietary AI, predictive service models, and closed-loop industrial operation.

Causal AI is giving industrial organizations a more explainable and deterministic way to distinguish root causes from symptoms and improve operational decision-making.

Industrial Data Fabrics are becoming hybrid architectures that combine enterprise platforms, edge DataOps, and lakehouse-native applications rather than relying on a single technology “North Star.”

Industrial enterprises need new commercial models and edge infrastructure strategies to control agentic AI costs as per-seat SaaS and metered token pricing become increasingly misaligned with autonomous digital work.

Generative UI and validated industrial knowledge pipelines can help manufacturers preserve frontline expertise without perpetuating unsafe legacy practices.

Belden has expanded its industrial connectivity portfolio with updates spanning Ethernet switches, HART connectivity, wireless orchestration, and IO-Link solutions.

Yokogawa’s Rajeev Joshi explores how industrial AI, reinforcement learning, and a phased approach to autonomy can help process industries move beyond traditional automation while maintaining safety and operator trust.

Yokogawa has signed a distribution agreement with BuyCo to offer its container transportation management SaaS to companies, particularly in the materials industry.