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

Despite the government’s efforts to champion the datacentre sector as a critical component of the country’s future growth, research shows the general public is largely unaware of what server ...

Once a disaster strikes, utilities must act quickly to restore power and minimize impacts on communities. AI enhances every step of the recovery process, enabling utilities to work smarter and faster, ...

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

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 ...

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 ...

Shelter is universally recognized as a foundational element of disaster recovery; and while its ability to provide ... There exists a need to better understand how shelter recovery processes employed ...

As a result, the development of a disaster ... data or service tied to any one site? Let’s say you have sites in Chicago and New York, and the Chicago site holds your inventory database system.

Systems, needs, objectives, platforms and personnel constantly change, making it necessary for organizations to regularly revisit, review and revise the disaster plan and recovery policies and ...

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 ...