The ROI of Industrial AI will be decided on the shop floor, not in the boardroom
By Srinivas Choudhary, Founder & CEO, Alligator Automations
Artificial intelligence is quickly turning into part of the manufacturing technology stack, with uses going across predictive maintenance, quality inspection, production optimisation and energy management. But as adoption speeds up, manufacturers need to make sure that AI investments are assessed not only by the number of systems that get deployed but also by the operational value they somehow end up generating.
Does industrial AI minimise unplanned downtime? That is the true test. Does it increase throughput? Does the quality remain constant? Does it enhance the use of energy and other resources? Does it also enable maintenance staff to make better decisions?
For manufacturers, those results should be the core base for basically any AI strategy.
From AI adoption to measurable outcomes
Manufacturing is fundamentally like an outcome-driven industry thing. Production teams often end up measuring performance using cycle time, throughput, utilisation, quality...
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