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In this video, Matt Boehne explores the role of AI in IBM Maximo®️, covering where AI stands today and where it is headed. He explains the importance of data and algorithms, highlights real-world use cases like visual inspection and predictive maintenance, and discusses how poor historical data limits accurate predictions. Matt also shares how improving data quality through workforce mobilization unlocks greater business value and more reliable insights in IBM Maximo®️. Like, comment, and subscribe to continue the conversation. #IBMMAXIMO #MaximoAI #ArtificialIntelligence #PredictiveMaintenance #AssetManagement #EnterpriseAI #DataDriven #MattBoehne 0:00 – AI and IBM Maximo®️: where we are and where we’re going 0:21 – AI fundamentals: data and algorithms 0:49 – Where AI works in IBM Maximo®️ today 1:12 – Visual inspection with AI (real-world example) 3:12 – Predictive maintenance and failure prediction 4:02 – Why poor historical data limits predictions 5:09 – What better data enables in IBM Maximo®️ 5:31 – Mobilizing the workforce to improve data quality 6:14 – Business value of better data and prediction 7:04 – Final thoughts and discussion Want to learn if IBM Maximo®️ is a fit for your organization? Complete a quick value assessment with us today and speak directly to one of our Maximo experts! IBM Maximo®️ ➡️ https://info.banetti.com/connect/ __ Like & Subscribe To Banetti's Youtube Channel: / @banetti Follow Banetti On LinkedIn: / banetti-inc Read Weekly EAM, Maintenance & Reliability Articles: https://info.banetti.com/