The traditional approach, where you spend three to six months building a model, training it, testing it, and operationalising it, maybe longer, is not scalable if you want to achieve results.
- Denis Marshment, previous Global Vice President Data Science Customer Solutions, Worley
Traditional machine learning can take months, with weeks spent on ingesting and manually manipulating data. AutoML automates the time-consuming repetitive tasks in the machine learning process.
Unlike other automated ML products on the market, OPUS has an automated end to end pipeline, that includes data ingestion and pre-processing of structured or unstructured data, auto machine learning and ML-Operations.
OPUS’ model wizard allows users to build models in minutes that target specific outcomes such as,
VROC OPUS allows you to focus on the insights that you can rapidly acquire, rather than the code. With rapid processing and high model accuracy levels, you can focus on the insights obtained to support the business decisions you need to make. The model’s by-products can be used to easily visualise the insights on dashboards, using the platforms inbuilt data visualisation features.
Once the model has been trained the user can automatically operationalize it. The insights will automatically refresh on the dashboard based on the live data which is ingested into DataHUB+. Users can set alerts based on pre-defined thresholds, so they are always informed, anytime, anywhere.
Whether you’re launching your first pilot or scaling AI across your enterprise, VROC’s end-to-end platform and expert team can help you unlock data, optimise performance, and accelerate results.
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!
Complete the form below and we’ll connect you with the right VROC expert to discuss your project. Whether you’re launching a pilot, scaling AI across your enterprise, or integrating complex systems, we’ll help you turn your data into actionable insights—fast, efficiently, and with confidence.
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 DataHUB+, VROC's enterprise data historian and visualization platform. Complete the form to download the product sheet.
Learn how OASIS unifies your systems, streams real-time data, and gives you full control of your smart facility—remotely and efficiently. Complete the form to access the product sheet.
Discover how OPUS, VROC’s no-code Industrial AI platform, turns your operational data into actionable insights. Complete the form below to access the product sheet and learn how you can predict failures, optimise processes, and accelerate AI adoption across your facility.
Interested in reading the technical case studies? Complete the form and our team will be in touch with you.
Subscribe to our newsletter for quarterly VROC updates and industry news.
