A detailed recap of IFS’s Industrial X Unleashed event, highlighting agentic AI innovations, partnerships, field applications, and the path to scalable industrial AI.

Rockwell Automation introduces an edge-based generative AI capability designed for industrial environments, using the Nvidia Nemotron Nano small language model.

Bentley Systems’ acquisition of Cesium strengthens its open, scalable, and context-rich digital twin strategy, with Bentley’s iLab accelerating real-world infrastructure innovation.

Bentley’s YII 2025 showcased how AI, digital twins, and open data platforms are reshaping global infrastructure design, delivery, and management.

The new OPC UA Companion Specification for Identification and Locating creates a unified spatial data model to support physical AI, autonomous robots, and next-gen industrial automation.

Litmus secured new strategic funding to accelerate its mission of delivering instantly accessible, contextualized, and AI-ready industrial data across global manufacturing.

This episode explores how AWS-powered digital twins are becoming the live, learning foundation for Physical Intelligence and the next wave of industrial autonomy.

ZEDEDA launched Edge Kubernetes App Flows, a full-stack edge Kubernetes-as-a-Service that simplifies deployment, enhances zero-trust security, and scales AI workloads across distributed environments.

From engineering co-pilots to humanoid robots, Colin charts the full battlefield of the Industrial AI Wars, revealing how ARC’s Industrial AI Models Taxonomy and the Industrial Data Fabric connect every front of intelligent industry.

Colin and Mike Guilfoyle launch ARC’s “Energizing Industrial AI” webinar series, exploring the paradox between AI’s energy demands and its sustainability promise, and revealing how Industrial Data Fabrics are bridging the data divide between Pacesetters and Laggards.