Rethinking performance metrics and buffers can reduce disruption even in highly streamlined operations.

The second paper in a joint MIT Sloan Management Review India and Infinite Uptime series finds that weak execution, not weak insight, is holding back industrial AI.

A new MIT Sloan Management Review India study finds that fragmented operational data and missing plant context continue to limit the accuracy and credibility of industrial AI systems.

A practical framework for mitigating disruptive effects of international conflicts can help companies protect their supply chains.

A new three-part research initiative by MIT Sloan Management Review India, in collaboration with Infinite Uptime, will examine whether prescriptive AI can close the persistent gap between insight and execution in industrial operations.

You can reframe client grievances as an opportunity instead of a burden. At one Swiss hospital, complaints have become a pipeline for improvements to the customer experience.

The joint study examines how Indian enterprises are translating the Digital Personal Data Protection Act into operational controls, risk frameworks, and strategic decision-making.

The directive follows union protests and reflects growing scrutiny of rider safety in India’s fast-growing quick commerce sector.

From rollable PCs to humanoid robots, Day 2 of the show underscored how AI is being redesigned to work within real-world constraints.

A late production restart, tariff pressure and model transitions converged to pull down sales at the Tata Motors' subsidiary across North America, Europe and China.