Browsing: industrial

In most factories, automation is fixed: robots and machines are programmed for one specific task and product. Changing a line means reprogramming and physical retooling, or swapping out equipment, which can take weeks or months. San Francisco-based Industrial Next says it’s changing that.

At the Manufacturing Innovation Conclave during ARC Advisory Group’s 24th India Forum in Bengaluru, held July 9–10, 2026, DS Latha, Senior General Manager and Discipline Head at Tata Consulting Engineers (TCE), presented “Digital + AI: Powering Industrial Futures.” She described how digital technologies, artificial intelligence (AI), digital twins, building information modeling (BIM), and intelligent automation…

Industrial AI is entering a new phase. After decades of predictive analytics and other specialized applications, advances in foundation models, physical AI, and agentic AI are making it possible to automate more complex tasks across industrial environments. But unlike AI that operates purely in the digital world, industrial AI can interact directly with physical systems,…

CNH Industrial N.V. stock (ISIN NL0010545661) has drawn investor attention after a recent rally that left the shares at USD 13.45 on the New York Stock Exchange as of September 20, 2026, only a small discount to a narrative fair value estimate of USD 13.82.

CNH Industrial (NYSE:CNH) has become a talking point after announcing emissions-related software updates scheduled to begin in the fourth quarter of 2026, which will give equipment owners more control over timing for critical engine repairs.

Some of the world’s leading AI minds have shared their opinions on the future of the technology, revealing some intriguinly diverging viewpoints.

Redesigned from controller to tool flange, the new Gen 7 robot platform is out-of-the-box AI-ready, giving companies the modern software tools and next-level connectivity that they need to confidently take AI from the lab into industrial operations.

The data came from the Monthly Industrial Survey, released on September 2. This is a modest increase, but its importance lies more in the signal than the magnitude.

Most manufacturers didn’t need a business case to understand the cost of reactive maintenance. They’d been absorbing it for years – unplanned stops, recovery overtime, expedited parts, the slow erosion of scheduling confidence and customer trust. What shifted was the available answer. AI in maintenance moved from speculative to deployable fast enough that the investment…