AI and big data were among the biggest talking points at MAINSTREAM UK 2026 in Birmingham. In this Mainstream UK 2026 recap, we looked past the familiar idea that AI is only as smart as its data.
For AI to improve maintenance and reliability, that data must also be connected, understood in the right engineering context, and put in front of experienced people who can act on it.
AI and big data in the Mainstream UK 2026 technical sessions
AI and its potential to transform maintenance and reliability kept coming up at the Mainstream UK 2026 technical sessions. Big data, and how AI can help teams manage it, was one of the event’s biggest talking points. A panel on why AI projects often fail in asset management, and how to fix it, also stood out to us on this year’s program.
That question stayed with us. The idea that AI needs good data is familiar by now, so the more useful question is what gets in the way. For most maintenance and reliability teams, the answer comes down to three data problems.
What AI in maintenance needs beyond good data
The people who stopped by Stand C9 came from manufacturing, so we’ve set the examples below in a manufacturing facility.
Connected condition monitoring data for AI
If your vibration data, oil analysis results, and thermography images live in different software packages, no single system sees an asset’s full condition. The same goes for AI. If it’s built into one of those systems, it only sees that system’s data. Disconnected plant data is one of the most common reasons AI tools fall short.
Picture a beverage bottling facility. A gearbox drives the conveyor on its main filling line. One day, the oil lab sends a report showing more metal in the gearbox oil than usual. The lab saves the report in its system. A few weeks later, the facility’s vibration software detects a slight rise in gearbox vibration. The software has a built-in AI tool, but it can’t see the oil report. Based on vibration alone, the AI decides the change is minor. A month later, the gears fail mid-shift. The filling line stops, and the team waits for new parts.
The oil report and the vibration rise both warned of the same problem, but they sat in two different systems. MAINTelligence™ brings that data together in one platform, including inspection results, laboratory oil analysis and data from FLIR, UE Systems, SDT and PDMA. At our stand, the FLIR and UE Systems integrations drew the most interest.
In this example, the oil report and vibration trend would sit side by side in the gearbox record. The reliability engineer would see both warning signs, and the plant manager would plan a repair during a scheduled shutdown instead of an unplanned main-line stop.
Incomplete and inconsistent maintenance records
Connected data still has to be complete and consistent. At the bottling facility, the inspection route for the filling line gets skipped during busy weeks, leaving gaps in the gearbox history. The vibration software calls the gearbox “GB-01,” while the CMMS lists it as “Filler Conveyor Drive.” An AI tool reviewing those records sees missing readings and what looks like two different assets. It can’t build a reliable trend from a history that doesn’t line up.
When inspection results and condition monitoring data flow into MAINTelligence™, they land on the same asset record. Teams can trend equipment condition over time from one consistent history, making gaps easier to spot and giving AI a clearer record to learn from.
Too much data to make sense of
Big data, one of the biggest talking points at Mainstream UK 2026, brings the opposite problem. Every new sensor, route, and technology adds more readings, and the question becomes how to make sense of it all. AI can help sort through that volume, but your team still needs to see what matters and verify what the AI says.
MAINTelligence™ helps teams visualize that information, identify developing problems and make better-informed maintenance decisions. With MAINTelligence™ Insights, condition data becomes visual KPIs, and each role can see what matters to them. A reliability engineer can focus on developing faults, while a plant manager sees the assets that put production at risk.
Partnering with JPS Reliability at Mainstream UK 2026
Every one of these data problems starts with condition monitoring, and that’s where our UK distribution partner, JPS Reliability, made a difference at our booth. The JPS Reliability team brought local knowledge to the stand, and UK maintenance and reliability professionals clearly know and respect them. Their condition-monitoring experience came through in every conversation, giving visitors a trusted local contact for MAINTelligence™ in the UK.
Mainstream UK 2026 recap: our biggest takeaway
Before adding another AI tool, look at the data you already have. Most sites hold years of inspection results, condition-monitoring readings, and maintenance history that rarely get used. Using that information gives AI a stronger foundation than any new tool can on its own.
The goal is better maintenance decisions, less unplanned downtime, and more reliable equipment. So before you ask AI to predict your next failure, ask yourself one question. Can you trust the data it’s working with?
Is your maintenance data ready for AI?
If this Mainstream UK 2026 recap has you thinking about what’s behind your AI plans, book a 10-minute Reliability Strategy Conversation. Tell us which condition monitoring technologies your team uses, and we’ll show you how MAINTelligence™ can bring that data together and connect it with your CMMS or ERP system.
Frequently asked questions about Mainstream UK 2026
What is the Mainstream UK Summit?
Mainstream is an Australian maintenance and reliability community founded in 1996. It brought its summit to the UK for the first time in 2025, at Millennium Point in Birmingham, with talks, workshops and an exhibition for manufacturing and engineering leaders.
When and where was Mainstream UK 2026?
Mainstream UK 2026 took place October 20-21 at Millennium Point in Birmingham, UK. DMSI exhibited at Stand C9, where we showed how MAINTelligence™, InspectMT™ and WorkMT™ help teams get more from their maintenance and reliability data.
When and where is Mainstream UK 2027?
Mainstream UK 2027 takes place October 18 to 20, 2027 at LEX in Liverpool. Pre-registration is open now.
