AI & IoT
capability is not an AI model, but an experienced engineer who has spent decades learning how a particular asset sounds, behaves and fails. The most effective connected systems embed that expertise into connected workflows, making it accessible across shifts and experience levels. Using AI and machine learning should not look to replace engineering judgement but instead to extend and scale it, giving every engineer on the floor access to contextual intelligence that was previously locked inside the heads of senior staff members. In doing so, manufacturers can broaden their skill base and reduce reliance on a shrinking pool of experienced engineers, building a more resilient operation as a result.
AI AS A LONGTERM CAPABILITY, NOT JUST A PROJECT
There is one version of AI deployment that appears complete: dashboards are in place, high volumes of alerts are being generated, and models are running on isolated assets. But little
changes in how the factory operates. Then there is another version that is truly connected – one where downtime is reduced, assets are performing more reliably and maintenance teams shift from reactive firefighting to proactive planning. Building a connected factory is not a one-off project but a capability that develops over time. Early phases should focus on ensuring strong data foundations and clearly defined use cases linked to business priorities.
From there, the scope can scale across assets and sites, from predictive maintenance to wider performance optimisation.
For manufacturing leaders at both board and plant level, the question is no longer whether to adopt AI. It is whether it is being used to turn data into decisions that actively improve reliability, reduce downtime, cut waste, and extend asset life – shaping performance today to improve outcomes tomorrow.
IntelliAM AI
intelliam.ai
Instrumentation Monthly May 2026
53
Page 1 |
Page 2 |
Page 3 |
Page 4 |
Page 5 |
Page 6 |
Page 7 |
Page 8 |
Page 9 |
Page 10 |
Page 11 |
Page 12 |
Page 13 |
Page 14 |
Page 15 |
Page 16 |
Page 17 |
Page 18 |
Page 19 |
Page 20 |
Page 21 |
Page 22 |
Page 23 |
Page 24 |
Page 25 |
Page 26 |
Page 27 |
Page 28 |
Page 29 |
Page 30 |
Page 31 |
Page 32 |
Page 33 |
Page 34 |
Page 35 |
Page 36 |
Page 37 |
Page 38 |
Page 39 |
Page 40 |
Page 41 |
Page 42 |
Page 43 |
Page 44 |
Page 45 |
Page 46 |
Page 47 |
Page 48 |
Page 49 |
Page 50 |
Page 51 |
Page 52 |
Page 53 |
Page 54 |
Page 55 |
Page 56 |
Page 57 |
Page 58 |
Page 59 |
Page 60 |
Page 61 |
Page 62 |
Page 63 |
Page 64 |
Page 65 |
Page 66 |
Page 67 |
Page 68 |
Page 69 |
Page 70 |
Page 71 |
Page 72
