Predictive Maintenance
SpiralData has recently released a case study on predictive maintenance in the utilities sector.
Click here for more information.
SpiralData had a large impact on IceBreaker, [it] changed the discussion from a traditional networking event to a data-driven event that drives valuable connections between people... the possibilities for the platform are really exciting.
Matt Salier, Director Innovation
We wanted to ensure a strategic approach was well understood before considering procurement. We needed to cover the integration of existing and new technology into a future state that would deliver the necessary benefits we expect of an IoT project.
Gary Lyons, Sustainability Manager
RAMCAR is a supply chain business. SpiralData has delivered a solution – on-time and on-budget – to help us better understand our selling assets and their performance, as well as benchmarking that performance across sales, financials and logistics.
Matt Palmer, Director of Finance
CASE STUDY / PREDICTIVE MAINTENANCE FOR A WATER REUSE UTILITY
Predictive Maintenance for a Water Reuse Utility City of Playford begin the journey to predictive maintenance using machine learning THE […]
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CASE STUDY / MACHINE LEARNING FOR UTILITY NETWORKS
Machine learning for utility networks SpiralData and SAGE Automation collaborate on IoT platform to automate detection of abnormalities across water […]
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CASE STUDY / ANALYTICS FOR SUSTAINABLE SEAFOOD
Analytics for Sustainable Seafood Repurpose the Finance Team into insight leaders during peak COVID-19 disruption THE CHALLENGE How to overhaul […]
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