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When it comes to Industrial AI, the capabilities afforded by machines that can learn, predict and improve what we do are seemingly endless. Like all amazing new technolgy though – there’s a catch. We need to be aware of the data, bias and technical limitations – and the role that humans still have to play, in particular data scientists – to make sure we get the most out of this transformatie new technology.
The growth of AI and data science as critical innovation tools go hand in hand. The limitations of AI are where data scientists are needed most – to step in and handle the technical and data problems that AI can’t. It’s no wonder LinkedIn ranked ‘Data Scientist’ as the most promising role of the year in 2019..
Discover how Anomaly Detection using AI can revolutionize early fault detection and optimization strategies.Read Article
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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