VROC continues to invest in data privacy and security. As a leading provider of advanced analytics and AI solutions, we understand that data privacy and security are critical concerns for our customers in both the industrial and local government sector.
At VROC, we believe that enterprise AI can transform the way industries operate, but we also understand the risks associated with handling large amounts of data. We recognize the importance of maintaining the confidentiality, integrity, and availability of data to provide a secure and reliable platform for our customers.
Our commitment to data privacy and security is further demonstrated by our investment in enterprise data warehouse and no-code AI technologies. With the enterprise data warehouse, we can securely store and manage large amounts of data from various sources, ensuring that our customers' data is protected against unauthorized access and data breaches.
Additionally, our no-code AI platform allows our customers to develop AI models without requiring any coding experience, enabling them to build robust and secure predictive maintenance models, or process optimization models with ease.
In summary, VROC's commitment to data privacy and security is unwavering, and our recent achievement of SOC 2 and ISO/IEC 27001 certifications further underscores our dedication to protecting our customers' data. We will continue to invest in new technologies and best practices to ensure that our platforms remain secure and reliable for our customers, providing them with the peace of mind they need to focus on their core business operations.
The new product release of OASIS provides more functionality to facility operators, along with ease of use. Learn about the new features of product release 4.
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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.
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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.
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'OPUS, an artistic work, especially on a large scale'
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