Within data management, AI uses a variety of engines with programmed experience to analyze activities in many forms and generate actionable intelligence.
AI that integrates with backup and recovery systems can provide a significant edge in planning and decision-making activities.
For example, AI can initiate “what if” scenarios to address a variety of backup issues.
IT administrators can then use this data to make more informed planning decisions.
Data passes through a backup process and routes to a variety of storage devices.
The process gathers performance statistics for future review by IT administrators. Stats include what data the organization backs up, locations of the backups, dates and times of backups, and elapsed time needed to complete backups.
The data backup system can also serve as the data recovery device if the organization needs stored data for an emergency requirement.
When you integrate backup and AI, the AI component sits between the data backup and recovery process and the performance data output mechanism.
Depending on how the organization programs the AI, it can examine performance activities as the business backs up and retrieves data.
AI can provide a broad range of analytics, such as how the organization processes, examines and analyzes performance data and used the results for various of decision-making activities.