91% report frequently receiving request for analytics with unrealistic or unreasonable expectations, and 87% say they are blamed when things go wrong
The rapid adoption of data analytics and advanced analytics by Industry, both of which rely on big data is a challenge for data engineers around the world. Data architectures and frameworks were often not built to comply with these demands, and so data engineers spend large amounts of time re-engineering solutions, integrating multiple data systems and maintaining data quality.
VROC has designed an end-to-end suite of products to reduce the burden on data engineers, which includes data storage, management, visualisation and analytics, and can also be coupled with auto AI and remote operations control.
DataHUB4.0 is built for industrial big data, with its distributed data storage allowing for scalability, reliability, speed and data integrity. The automatic ingestion and pre-processing of out of order, linear, non-linear and time-series data reduces the time data engineers and data professionals spend wrangling data. Greatly improving collaboration and productivity.
The advent of DataOps and MLOps which are designed for automation and ease of execution will greatly benefit data engineers and data administrators. With the hope that statistics like this one from the IDC improve, which states that 28% of AI/ML projects fail due to a lack of necessary expertise, production-ready data, and integrated development environments.
Applying methodologies such as DataOps and MLOps along with automated tools, will help to automate data orchestration and the delivery of analytics, AI and machine learning models to the point where companies can scale the use of advanced analytics to achieve rapid results.
Compare the differences between data historian, data lake and data warehouse. What's best for machine learning?Read Full Article
If a lack of sensors is prohibiting you from starting your industrial predictive maintenance journey... here is your solutioRead Full Article
The next frontier for scalable AI is the democratization of data through the use of analytics process automation (APA)Read Full Article
Understanding the difference between a traditional Process Historian and DataHUB4.0Read Full Article
Discover why we need to change our thinking and approach to Data ScienceDownload Now
Understanding inherent biases this is critical for recognising how they become present in AI-driven technology, thanks to pRead Full Article
The value of the insights that can be obtained from Industrial analytics is so great that businesses need to find ways to ovRead Full Article
Explore the difference in data science offerings, understand the differences and advantages.Read Full Article
Ready to embark on a pilot project or roll-out the innovation enterprise wide? Perhaps you need assistance integrating your systems or accessing your data? We have a solution to help you as you progress through your digital transformation.
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.
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.