Uploaded May 2026 | Updated September 2026, 2 weeks ago
Water utilities are beginning to move from reacting to failures toward predicting them before they happen.
Mick O’Dwyer of SwiftComply says compliance programs have traditionally been reactive — responding after a backflow device fails, a sewer blockage forms, or contamination risks emerge. But with larger datasets and smarter technology, utilities are increasingly able to anticipate problems earlier and prioritize inspections and maintenance based on real-world performance trends.
O’Dwyer points to backflow prevention as one example. With more than 1.5 million assemblies tracked in SwiftComply’s system, utilities can analyze average lifespans, failure patterns, and historical performance data to better predict which devices may be at greater risk of failure. That allows utilities to focus resources more strategically instead of relying only on fixed schedules or responding after incidents occur.
Episode at bit.ly/UtilityCompliance
waterloop is a nonprofit news outlet exploring solutions for water sustainability.
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#WaterInfrastructure #DrinkingWater #WaterUtilities #SmartWater #WaterTechnology #AI #ArtificialIntelligence #Backflow #PredictiveMaintenance #WaterQuality #Infrastructure #UtilityManagement #CleanWater #DigitalTransformation #PublicWorks #WaterInnovation #Compliance #EnvironmentalProtection #SwiftComply #waterloop
Water utilities are beginning to move from reacting to failures toward predicting them before they happen.
Mick O’Dwyer of SwiftComply says compliance programs have traditionally been reactive — responding after a backflow device fails, a sewer blockage forms, or contamination risks emerge. But with larger datasets and smarter technology, utilities are increasingly able to anticipate problems earlier and prioritize inspections and maintenance based on real-world performance trends.
O’Dwyer points to backflow prevention as one example. With more than 1.5 million assemblies tracked in SwiftComply’s system, utilities can analyze average lifespans, failure patterns, and historical performance data to better predict which devices may be at greater risk of failure. That allows utilities to focus resources more strategically instead of relying only on fixed schedules or responding after incidents occur.
Episode at bit.ly/UtilityCompliance
waterloop is a nonprofit news outlet exploring solutions for water sustainability.
Visit waterloop.org
Subscribe to catch every video: youtube.com/@waterloop
Never miss an episode! Subscribe to waterloop:
🎧 Spotify:bit.ly/waterloopSpotify
🎧 Apple Podcasts:bit.ly/waterloopApple
🎧 YouTube Podcasts:bit.ly/waterloopYouTubePod
Follow waterloop for more stories on water sustainability:
🔹 Instagram:instagram.com/the_waterloop
🔹 LinkedIn:linkedin.com/company/thewaterloop
#WaterInfrastructure #DrinkingWater #WaterUtilities #SmartWater #WaterTechnology #AI #ArtificialIntelligence #Backflow #PredictiveMaintenance #WaterQuality #Infrastructure #UtilityManagement #CleanWater #DigitalTransformation #PublicWorks #WaterInnovation #Compliance #EnvironmentalProtection #SwiftComply #waterloop
