Foundation for Automated Enterprise DR Using AI
Creating and implementing a viable, effective, enterprise-wide and sustainable disaster recovery (DR) solution often exceeds the capabilities of many enterprises. The complexities, costs, and resources of implementing an enterprise-wide DR solution already gives them pause. Once they factor in the management overhead and costs to maintain it, they either stop planning or limit its scope. The introduction and growth of artificial intelligence (AI) within enterprise data protection software suggests this will soon change. This software already uses AI to analyze backup data stores to gain business insights and perform anomaly and ransomware detection. The next generation of this software’s use…
Burgeoning Unstructured Data Stores Demand Organizations Tackle Data Protection Differently
Burgeoning Unstructured Data Stores Demand Organizations Tackle Data Protection Differently
Every organization possesses and manages unstructured data somewhere in its IT infrastructure. Unfortunately, many do not know how much they...
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What 2022 Data Center Trends Mean for Business Continuity Specialists
The data center industry is in a continual state of evolution, but one factor remains constant: the need to ensure...
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cyber disaster recovery
Cyber Disasters: Zero Dark Thirty Seconds to Recovery
A hurricane knocks out the electrical grid, and a facility switches to back-up power. A tech-entrenched facility catches fire, and...
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cloud outage recovery best practices
Anatomy of a Recovery: What We Learned from a Real-World Cloud Outage
The Incident: When Cloud Promises Fall Short The incident began during a routine weekend maintenance window. Our team was coordinating...
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