Selecting an Innovative Fault Detection, Diagnostics and Predictive Maintenance Solution To Boost Equipment Uptime (Webinar)

Published 28 June 2018 by Derrek Clarke &
Smart Buildings Webinar

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Executive Summary

Over the next three years, 89% of real estate executives in the Verdantix global survey view the optimization of building operations such as maintenance as either a very important or important factor impacting their real estate strategy. Given the importance of optimizing facility maintenance operations for real estate executives, what solutions are on the market to help executives tackle this pressing challenge?

This webinar draws on the latest Verdantix research and insights gathered through briefings with senior executives to understand how current innovations in asset fault detection and diagnostics will shape the future of facility optimization. The webinar will address questions such as: what will be the impact of machine learning and AI on facility performance? Will BIM finally gain prominence in building operations and maintenance? Is embedded edge intelligence really the way of the future?

Heads of real estate, facility managers, technology vendors and real estate asset managers should attend this webinar to understand the key questions they should be asking when thinking about asset fault detection, diagnostics and predictive maintenance solutions.

Organisations mentioned

About the author

Derrek Clarke

Senior Analyst

Derrek is a Senior Analyst in the Verdantix Smart Buildings Practice. He conducts Verdantix research on energy management and the optimization of building systems covering technologies, best practices and growth strategies. His current agenda is focused on establishing facility optimization software as a distinct category of technology investment. Derrek has ten years of experience as a licensed architect. He joined Verdantix in 2014 and previously worked at global architecture and engineering firm HOK. Derrek holds a Masters in Architecture from Parsons and a Masters in Sustainability Management from Columbia University.

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