AI is being used to monitor environments, identify issues and suggest resolutions.
AI agents and machine learning step up to transform data resilience Ian Engelbrecht , system engineering manager, Veeam .
“This year, we will see a huge increase in AI agents and tooling. Pre-training of foundational AI models has largely matured, and improvements now come through fine-tuning, reinforcement learning and retrieval-augmented methods on new data and knowledge. Next comes agents, which take action by using that corpus of data that they have been trained on,” he says.
Veeam ONE, part of the Veeam Data Platform, provides visibility into virtual, physical, cloud and SaaS platforms, with monitoring, reporting, analytics and tools for automation and control. Engelbrecht notes that data resilience is an evolution of security and continuity. “Traditional cyber security plans are not able to keep up with the proliferation of new threats. To Veeam, resilience means that regardless of what happens, you have the ability to recover or be able to bring your environment up anywhere. If you try to recover to your DR data centre, but it's also been compromised, you need to be able to go somewhere else, with your data intact, secure and available.
Engelbrecht says AI technology is able to review thousands of logs and events and find anomalies in minutes and hours that would take a normal human days or weeks to find. It not only finds important data, but can improve itself by adding context and meaning through historical information. AI has the ability to make predictions on possible outcomes based on historical data.
Machine Learning Data Resilience Ian Engelbrecht Veeam AI Data Protection AI-Driven Observability Aiops Veeam ONE Veeam Data Platform
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