Focus on: CMMS Maintenance Matters (APIs) and modular system designs should be the standard, allowing organisations to adopt new technologies without overhauling their entire infrastructure. For maintenance teams, investing in upskilling is key—training on data interpretation, AI applications, and IoT monitoring will help bridge the knowledge gap and empower professionals to make the most of their systems. Additionally, businesses should approach integration in phases rather than attempting a full-scale implementation all at once. Starting with small pilot projects can help identify potential issues early and allow teams to adapt before rolling out changes more broadly. Furthermore, collaboration between CMMS vendors and end-users must improve. Vendors should actively seek input from maintenance teams during the development of new features to ensure they are practical and truly beneficial. Many software providers focus on selling a vision of the future rather than addressing the immediate, everyday challenges maintenance teams face. More transparency is needed when it comes to the true capabilities of a system before organisations commit to significant investments. Another key aspect is data standardisation. Many businesses struggle with integrating new technologies because data is stored in different formats across multiple systems. Ensuring that CMMS platforms support universal data formats and seamless data sharing across departments will reduce friction and enhance overall system effectiveness. A lack of standardised data management often leads to inefficiencies and errors that counteract the very benefits that AI and IoT are meant to provide. Regulatory compliance is also a consideration. Many industries have strict regulations regarding data security and equipment maintenance records. As CMMS platforms evolve, they must continue to align with compliance requirements while leveraging new technologies. Organisations should assess whether new features introduced into their maintenance systems meet legal and operational standards, avoiding any costly compliance breaches. Finally, companies should take a pragmatic approach to AI and IoT adoption. Rather than viewing these technologies as a silver bullet that will instantly transform maintenance efficiency, businesses should recognise that meaningful improvements take time. AI-driven maintenance is only as good as the data it is trained on, so the quality and accuracy of existing maintenance logs are crucial. If organisations have poor historical maintenance data, AI predictions will be unreliable. Therefore, ensuring high-quality data collection should be a priority before expecting AI to deliver significant benefits. Ultimately, for CMMS to remain relevant in the modern industrial landscape, vendors must go beyond marketing buzzwords and focus on genuine compatibility, ease of use, and seamless integration. Organisations, in turn, need to be realistic about the effort required to make these technologies work effectively. AI and IoT have the potential to revolutionise maintenance, but only if they are implemented in a way that enhances—not complicates—the work of the people using them. By focusing on practical implementation, structured data management, and targeted upskilling, organisations can bridge the gap between traditional CMMS and cutting-edge maintenance technology, ensuring a smoother transition into the future. Safeguard your machinery – it doesn’t have to be complicated Wireless vibration and temperature monitoring Industry-leading measurement technology Wi-Fi or cellular network communication WE ARE EXHIBITING AT 01706 835 331 | info@spminstrument.co.uk | www.spminstrument.co.uk 4-5 June 2025 | NEC Birmingham COME AND SEE US AT STAND 5-M20
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