This article examines how AI has influenced the data recovery industry and possible ways businesses and data recovery professionals can apply AI in data recovery.
The application of artificial intelligence (AI) in most technological advancements is gaining traction across the globe. Powerful algorithms are being used to analyze and prescribe solutions to unique problems and data recovery is no exception. How is AI being used in data recovery?
Using AI to Prevent Data Loss
The default application of machine learning and artificial intelligence in data recovery is to adopt a preventive approach as opposed to a reactive one. Thus, this technology focuses on securing data backups and the storage media from any logical damage. This could be because of power failure or malware attacks.
By using available data on system behavior, an AI algorithm senses when a storage device is about to fail or when the disk space is about to be depleted. The program then sends a warning message which will allow you to take appropriate measures to secure your data. In the case of virus attacks, AI algorithms can learn how to detect malware attacks such as a massive corruption of files. The system will then work with security software such as an antivirus to prevent further spread of the attack.
Using AI to Recover Lost Data
AI can be used to recover corrupted data on both healthy and damaged storage media. The beauty of this technology is that the recovery process will be fully automatic without any human intervention. In case any files are corrupted, the AI algorithm can use automated solutions such as the DataNumen Archive Repair to restore the archive files to their original state.
When a device fails, machine learning algorithms can be used to perform advanced operations such as extracting stored data and providing a logical output which is then saved on healthy drives. Such operations can be performed automatically or in labs.
It is important to note that before AI algorithms can accomplish such functions, they must undergo the learning phase. During this phase, they may not operate optimally. This should be communicated to stakeholders to prevent unrealistic expectations.
Impact of AI on Data Recovery
In the backdrop of data loss prevention and recovery, AI sets the bar high for current technologies. Although it’s still in its infancy stages, AI is already providing solutions to complex data recovery problems. As the industry continues to embrace this technology, data recovery will increasingly become an automated service.
While this is yet to be achieved, it will not take long before it happens. When AI technology fully matures, companies will be able to restore their systems within a few minutes after a disaster. Some clients will not even know whether a company’s system was down. This will greatly improve data recovery time.
Moreover, the expert skills required for professionals to practice in this industry will drastically shift towards data science and machine learning. This is crucial for everyone desiring to pursue a career in data recovery. Technology is changing very fast, and the thought of having fully AI-powered data recovery services is not far-fetched. So, if you are interested in data recovery or already working in this field, don’t get too comfortable, especially if you lack these skills.
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