For councils and cities, smart asset management solutions can provide opportunities to reduce power consumption, prevent water wastage, automate manual operational processes, and improve efficiencies.
Download your free copy of our whitepaper to find out how governments can reduce maintenance expenses, reduce operational expenses and improve asset life expectancy by adopting innovative technologies including IoT and artificial intelligence. As the custodians of large volumes of critical infrastructure and assets, our cities and local councils need to ensure on-going safety, compliance and service delivery, whilst being fiscally responsible with available resources.
This whitepaper explores both the challenges and opportunities for asset management, as well as smart asset management solutions using IoT and AI.
Plus, discover our six steps to implementing a local government smart asset maintenance program.
Interested in a demo of one of our data solution products?
DataHUB4.0 is our enterprise data historian solution, OPUS is our Auto AI platform and OASIS is our remote control solution for Smart Cities and Facilities.
Book your demo with our team today!
Ready to embark on a pilot project or roll-out AI innovation enterprise wide? Perhaps you need assistance integrating your systems or storing your big data? Whatever the situation, we are ready to help you on your digital transformation.
The efficient deployment, continuous retraining of models with live data and monitoring of model accuracy falls under the categorisation called MLOps. As businesses have hundreds and even.
Learn more about DataHUB4.0, VROC's distributed enterprise data historian. Complete the form form to download the product sheet.
Discover how you can connect disparate systems and smart innovations in one platform, and remotely control your smart facility. Complete the form to download the product sheet.
'OPUS, an artistic work, especially on a large scale'
Please complete the form to download the OPUS Product Sheet, and discover how you can scale Auto AI today.
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