New Delhi, Oct. 29 -- India's industrial AI opportunity is moving beyond the question of how much data companies can collect to a more consequential one: how effectively can they use that information to make decisions across large industrial facilities?

For energy producers, refiners and other industries operating large and complex assets, the stakes are considerable. An equipment failure can disrupt production, an inefficient shutdown can inflate costs, and an incorrect recommendation in a safety-critical environment can have consequences extending well beyond the balance sheet. While companies have invested in digitising operations, much of the information required to make timely decisions remains distributed across engineering systems...