Artificial intelligence (AI) has the power to change the global economy and potentially, one day, every aspect of our lives. There are numerous possible uses for the technology across industries, and new AI projects and applications are frequently released to the public. The only restriction on AI’s use appears to be the inventiveness of human beings. AI workloads will undoubtedly be crucial in industries such as health care, finance, and leisure. But this begs the question: How can these critical AI applications be maintained without downtime, and how can the underlying data be secured without compromising its mobility?
Always Keeping AI Data and Workloads On
Many firms rely on the tried-and-true backup poland whatsapp number data method to ensure safety and security against data loss and outages. This makes sense in terms of general data protection. However, backups are not the best method for disaster recovery and business continuity, particularly when it comes to the most critical data and workloads. Backup’s main shortcoming is that it can only safeguard individual servers – not entire programs. It is necessary to manually rebuild the programs from their separate components after recovering data from a backup. Restoration can take days, or even weeks, which is often an unacceptable amount of time. To ensure that vital AI applications are always available, businesses need advanced solutions that can recover data more quickly.
A growing number of businesses are using disaster recovery (DR) solutions to expedite the recovery of their most important workloads and data. Right now, the best recovery option is continuous data protection (CDP). When using CDP, every change to data is immediately documented in a journal as it’s written. CDP enables quick and easy restoration of data to the state that existed just moments before an attack or disruption without significant data loss.