VERDANTIX REPORT: SENSEYE PROVES THE VALUE OF AI-POWERED PREDICTIVE MAINTENANCE
Verdantix investigates how Senseye uses machine learning to prevent unplanned downtime and extend asset life and how Senseye helps industrial firms and equipment manufacturers deliver on their maintenance goals. The report then recommends that firms with mature maintenance strategies looking to reduce asset downtime and maintenance costs while extending asset life should consider adding Senseye PdM to their asset management stack.
Verdantix is an independent research and consulting firm with a focus on innovative technologies that optimize business operations.
Dennis Callaghan – PRINCIPAL ANALYST
Principal Analyst at Verdantix, contributing to both the Operational Excellence and Smart Buildings practices. His current research agenda focuses on covering asset performance management technologies across both industrial and smart buildings use cases, including Internet of Things monitoring and data analysis. Dennis has over 10 years’ experience in industry research and strategy. He previously worked at 451 Research, where he led that firm’s coverage of application performance management and IT service and asset management technologies. He has written about technology as a journalist, industry analyst or marketer for more than 20 years. Dennis holds a BA in journalism from Duquesne University.
David Metcalfe – CEO
Co-founded Verdantix in 2008 and leads the firm’s research and advisory work on the digitization of Operational Excellence which covers software, systems integration, wearables and drones. Prior to founding Verdantix, David was a Senior Vice President at Forrester Research and Head of Analysis and Forecasting for BT. He holds a PhD from Cambridge University in Game Theory and Decision Analysis and worked as a Research Associate at the Harvard Business School.
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This report forms one in a series covering the software for operational excellence. Senseye is an innovative start-up to watch in this space. The UK-based firm was founded in 2014 and has 70 employees spread across five countries. The Senseye PdM application applies machine learning algorithms to improve predictive maintenance. Importantly, Senseye PdM is designed to leverage prior investments in maintenance software and industrial data collection systems. The firm targets five key industrial verticals, serving Fortune 500-sized organizations with multi-country operations. Verdantix recommends that firms with mature maintenance strategies looking to reduce asset downtime and maintenance costs and extend asset life consider adding Senseye PdM to their asset management stack.