A global survey reveals that nearly 50% of industrial businesses lack the internal expertise to adopt advanced tools like artificial intelligence (AI). The Ultimo Maintenance Trend Report, based on insights from over 200 maintenance professionals, underscores the growing recognition of AI, machine learning, and digital twins as crucial for enterprise asset management (EAM). Despite the rising interest in these technologies—contextual intelligence saw a spike from 8% to 68%—barriers such as workforce challenges and skills gaps remain prevalent, with 63% citing an aging workforce as a concern. The findings indicate the urgent need for knowledge transfer and effective recruitment strategies. Moreover, EAM systems have evolved to provide actionable insights, transitioning from reactive to proactive maintenance. Ultimo’s AI-driven EAM features aim to minimize adoption barriers, facilitating operational advancements for asset-heavy industries. Combining human expertise with technology is expected to enhance maintenance outcomes across diverse sectors, including manufacturing, healthcare, and logistics.
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