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How AI Technologies Can Assist You With Post-Disaster Business Continuity

AI technology has undoubtedly become an integral part of most business operations today. It has become a boon for business owners as AI has made work much easier in many areas of business, from customer service to warehousing.

But there are many other applications too where AI technology can be a savior for your business. Business continuity and disaster recovery is one area that is being revolutionized with the advent of AI.

What is business continuity?

Business continuity refers to getting over disruptions in your business and getting it up and running, with very little loss of time and finances. Various factors may cause these disruptions. It could be because of natural calamities like floods, hurricanes or earthquakes. It could also be because of man-made catastrophes like terror attacks. But more often, the disasters that strike a business are usually during to system failures or employee errors, that result in down time for your business.

Disaster recovery is a very important part of all business operations. Whenever your business is faced with a problem or a disaster like this, your aim should be to overcome the issue and get your processes up and running in minimum time. As more downtime means more monetary losses for your business. That is why business owners are stressing on improving their disaster recovery solutions and AI is turning out to be a game-changer.

AI in business continuity and disaster recovery

Disaster recovery in most cases primarily means data recovery. Data is crucial to any business and disasters usually result in loss of data, because of which a backup system is always used. Retrieving the data from the backup system is not the hardest part but to stratify and retransform that data back to its original format is what is more challenging.

The time required for data recovery does not just mean the time needed to retrieve backup data, which is very little time anyway. It also includes the time required to classify and categorize the data and put it back in the right place post-disaster.

AI tools and machine learning can be of great help in this regard, as these tools have predictive and self-learning capabilities. They can use information from historic data to decide what goes where. Use of AI in disaster recovery can be very beneficial for business continuity as it will result in lesser downtime and lesser human intervention too.

How automation and AI can help business continuity

To reinforce your business continuity, you have to revamp your disaster recovery system and integrate new technology into it. Artificial intelligence and automation platforms use software to perform IT service management automatically. These platforms are also capable of making their own decisions based on how the AI system is trained.

The advantages of using AI based disaster recovery systems for business continuity are many.

Timely IT service management

With the help of an AI based disaster recovery systems, you can schedule your IT service management regimes. The AI can be trained to follow best practices in IT service and can perform service management based on these best practices. This improves business continuity by preventing system failures and reducing the chances of human errors.

AI can also be used to predict or test disaster scenarios and to identify weak links in the system that might be a threat to business continuity. It can help administrators have a complete view of how the IT infrastructure is functioning, and any potential risks can be easily predicted.

Automatic proactive recovery

The best thing about predictive technology is that the system can detect a failure or a disaster before it occurs and can start recovering data immediately. This proactive recovery of data can save a lot of precious time. By automating the recovery process using AI, businesses can respond much more proactively to potential threats which wouldn’t be possible with manual recovery systems.

Detection and elimination of contaminated data

There may be cases where a hindrance in your business continuity is caused by data contaminated with a wrong application entry. These human errors are unavoidable, and at some point, they are encountered in every business. The problem with such issues is that they are very difficult to detect and eliminate.

AI can be used to detect any anomaly in the data and eliminate it to avoid complications. Since the AI system is trained by you, you can program it to be able to detect errors and take necessary action accordingly. This makes contamination data a matter of least concern, which would have otherwise been very hard to eliminate.

AI in disaster recovery planning

Artificial intelligence can in fact, also be used in the plan development stage of your disaster recovery system itself. IT teams can benefit a lot from incorporating AI in plan development. AI systems can suggest best methods from their database or from the internet that can help the IT team make better decisions for business continuity. As AI systems can surf through relevant information much faster, the planning and development processes will become much more efficient with its use.

Customized responses to a disaster

Depending on the severity of the disaster that has struck your business, the actions that you need to take may vary. In some case, you may have only lost some data which can be recovered from the backup. In another case, you may need more time and while your business is down, you need to inform your customers about the glitch so that they are not left stranded.

An AI based system for business continuity can decide what actions to take depending on the situation, all by itself. Its response would be much faster than you can expect from a manual disaster recovery system. The AI can be trained to determine the gravity of the situation and choose an appropriate response from a list that would best fulfill the need of the hour.

This can be a big advantage for business continuity and customer retention as well.

By | 2019-09-24T05:23:18-06:00 September 24th, 2019|Blog, Featured, Industry|