Artificial intelligence (AI) is redefining disaster recovery in today’s data-centric world, offering predictive failure ...

IT disasters can strike any business, often with little warning, and their impact can range from minor inconveniences to ...

Having worked closely with businesses navigating crises, I’ve seen how a robust disaster recovery plan can transform panic ...

However, the information systems needed to support such resilient and equitable recovery are currently lacking ... resulted in a study that focused on the information and the data that influence early ...

Backup & recovery is essential for business continuity, resilience, regulatory compliance as well as customer confidence. By Jakob Østergaard ...

and inventorying of the supplies sent to a disaster-stricken area. 2 An example is the Famine Early Warning System, whih predicts the occurence of famine by monitoring meteorological data ...

Predictive Analytics for Proactive RecoveryBy analyzing historical data and recognizing patterns, auto-tuning disaster recovery systems can predict potential QPS surges. These insights allow for ...

Emergency Information Systems (EIS) collect data about the effects of a disaster during the impact phase, the response phase, and the early stages of recovery. EIS consist of integrated sets of ...

Recovery Point is a national provider of integrated business continuity and disaster recovery systems. The company stores copies of its customers’ critical enterprise data on its servers in multiple ...