Veritas launches AI-based predictive support service
Veritas Predictive Insights uses AI/ML engine to analyse appliance performance and provide proactive support
Veritas Technologies has launched a new service that utilizes AI and ML to provide proactive support for storage systems from the company.
The Veritas Predictive Insights use years of encrypted event data from thousands of Veritas appliances, processed with a cloud-based AI/ML Engine to monitor system health. The service can detect potential issues and create proactive remediation before problems can occur, which can ensure less unplanned downtime, faster resolution of issues and reduced TCO.
Veritas said that the solution addresses the growing concern from customers to simplify their data and infrastructure management while reducing the risks and costs associated with downtime and access to critical business data. Veritas Predictive Insights processes millions of events, providing IT administrators with the ability to avoid alert fatigue and focus on significant incidents.
"Having consistently available IT systems is increasingly important to organisations that are responsible for managing, analyzing and protecting more and more data points every day," said David Noy, vice president and general manager, Product Management and Alliances, Veritas. "This new technology harnesses the power of AI and continuous ML models to provide predictive analytics to IT staff. Administrators can then proactively support and remediate a wide range of potential issues before they occur, react much quicker and allow for less costly resolution."
Veritas Predictive Insights provides prescriptive support services, such as proactive maintenance, performance and capacity forecasting, as well as compliance determination. The services are driven from the power of AI and continuous ML models that utilize years of collected data points from tens of thousands of Veritas customer installations. Combined with real-world input from service personnel, the Veritas AI/ML Engine delivers predictive insights about a customer's environment, resulting in proactive recommendations and actions to improve their business operations.
"Advances today in machine learning that use statistical techniques to give IT systems the ability to ‘learn' from data without being explicitly programmed, can be useful to organisations to detect potential issues and remediate them quickly," said Christophe Bertrand, senior analyst for Data Protection at ESG. "Veritas Predictive Insights is one such solution that can help customers reduce risks and costs associated with downtime and access to critical data and improve their operational efficiency."
The service includes an ‘Always On' feature, to optimize the support process. Veritas appliance customers that have this auto-support feature turned on, can maximize the benefits of Veritas Predictive Insights instantly and achieve improved ROI on their appliances and reduce the costs associated with downtime.
When a customer enables the auto-support feature on a Veritas appliance, telemetry is continuously collected and processed by the AI/ML Engine, generating a System Reliability Score (SRS) for each appliance. The information generated is visible in a dashboard and can be used by Veritas appliances services personnel and is also accessible to customers. Based on the SRS and the details behind it, the support and customer teams can take proactive actions as identified by the analytics. This could include a notification to install a patch to dispatching service personnel or making prescribed, on-site services.
Veritas Predictive Insights is available now on Veritas NetBackup Appliances and will be available on Veritas Access and Flex appliances in the coming quarters.