Foundation models, computer vision, edge inference, digital twins, data infrastructure, and the AI systems that cut across every industrial vertical.
A new industry report reveals a striking disconnect: nearly every manufacturer is investing in AI, but four out of five remain stuck in mid-stage automation maturity with fragmented data and manual workflows blocking real deployment.
Energy operators are deploying autonomous AI agents that don't just recommend actions — they take them, orchestrating grid assets, balancing renewable intermittency, and self-healing outages in real time.
Mind Robotics has raised $100 million to build the intelligence layer for industrial robotics — betting that general-purpose foundation models will finally crack the flexibility problem that has kept factory automation expensive and brittle.
New Gartner research warns that surging AI power demand is straining grids and forcing supply chain leaders to treat energy availability as a strategic risk — not just an operating cost.
As predictive maintenance matures from buzzword to baseline, edge AI processors from NVIDIA, Intel, and Qualcomm are enabling real-time decision-making that was architecturally impossible just two years ago.
The industrial sector is going through the same data architecture evolution that tech companies experienced five years ago — and making
Generative AI captured the world's imagination with chatbots and image generators. On the factory floor, the technology is
Manufacturers have long faced a paradox: they need shared data to train better AI models, but competitive pressures and regulatory
While the tech industry obsesses over ever-larger language models, industrial operators are moving in the opposite direction. Small language models
Computer vision in manufacturing has been synonymous with quality inspection for the better part of a decade. But 2026 is
Digital twins were supposed to revolutionize manufacturing. Gartner, McKinsey, and every automation vendor promised that virtual replicas of physical assets
Gartner reports that 70% of enterprise digital transformation initiatives fail to meet their stated objectives. That's a remarkably