Is Your Data Storage Strategy AI-Ready?

The adoption of artificial intelligence increases the need for appropriate data governance, and companies are now displayed to ensure the maturity of data. GloballyMany companies use or explore artificial intelligence, with more than 82 % to take advantage of artificial intelligence or consider commercial operations. However, according to Gartner, only 14 % of Internet leaders can balance the effective use of their data and secure their data to achieve work goals.

With more companies rushing to take advantage of artificial intelligence, they need to make sure that they are working in ripening of peak data with a suitable framework to deal with an increasing amount of important data they run. By taking advantage of the data maturity model framework, institutions can determine the most effective ways to improve data use, help identify security for security and enhance more data efficiency. As part of this framework, institutions also need a mature data management strategy.

One of the most ignored parts in the mature data management strategy is the presence of appropriate storage requirements for backup and important data storage. Companies are facing many threats when it comes to safely related to their data, and the appropriate storage to deal with the burdens of artificial intelligence work is the only way to prevent the loss of data created from artificial intelligence or tampering with it due to a ransom or another disaster. Your work may be able to artificial intelligence, but is the storage infrastructure ready for the prosecution?

Why should the storage participate in the artificial intelligence conversation

There are several reasons that make the appropriate storage necessary for data created and consumed by artificial intelligence – companies need to ensure the data remains easily available, safe against advanced threats, and can be recovered in a disaster, and must be improved for the burdens of artificial intelligence.

Accessibility is important because developers should be able to find data and benefit from them quickly and efficiently to train other AI algorithms. This type of data is considered a “important task” and can be the most valuable in commercial operations. The presence of this type of data available easily is the key to ensuring simplified processes when it is more important.

This data also needs to get the highest level of safety while storing it. Given that 96 % of Ransomware attacks now target backup data, storage should be ransom resistant and able to withstand any stop or interruption time that the organization may face. Reserve copies are essential targets for the attackers because they make companies unable to regain their data, which makes it likely to pay the ransom to recover important data. Meanwhile, companies can leave without protection and face extended periods if their “important” task data is unable. This may cause the reputation and critical loss that would be devastating for both shareholders, customers and employees.

Cyber ​​security attacks are not the only reason that storage may be lost or treated. Production data, or data used in the company’s daily operations, must always be treated, as if destroyed or damaged. Therefore, the golden recovery version, or a clean, reliable and isolated version of the important data is mandatory. Correctional deletion, writing data above it, or any other type of errors caused by human error can display your data. You can put the failure of programs and devices such as corruption or viruses to put your data, especially if the program and devices do not have the latest updates. Finally, environmental factors such as power outages, floods and harsh weather are all good reasons to ensure backup data recovery.

Moreover, artificial intelligence tools can produce an excessive amount of data at a Husient rate, and the traditional storage structure may not be able to keep pace with the amount of data needed. Therefore, AI should be equipped to deal with the huge work burdens efficiently. The use of development and safe data storage, such as gradient storage solutions, will provide perfect potential so that the data is monitored and saved.

The best storage of artificial intelligence data (without breaking the bank)

The storage of gradient backup ensures that vital data can be accessed quickly and is one of the most cost -effective solutions. It is allowed to keep data, and allows the data access and reuse at any time. Storage and spare copies are regulated by data based on its importance and the frequency of access. High priority data continues to storage fast and costly such as SSD, while less important data is stored on cheaper or slower media such as hard drives or cloud storage. Specifically, artificial intelligence data should be stored at the level 0 or level 1 given the above requirements. Level 0 is high-speed storage for important important data with NVME and All-Flash storage matrices. Level 1 is a high -performance data storage that is frequently accessed with SSDS and types of hybrid flash storage.

Take a step forward, and support the data in the gradual storage whenever possible, will allow rapid access to a disaster, such as human error or harmful change. Ensuring copies of backup data stored in multiple locations, with several types of encryption, and on different types of media is the only way to ensure that the backup copies are safe.

When choosing a backup and resistance seller, it is important to make sure that you choose a fixed storage that can withstand any type of disasters that can put your data at risk. It is important to note that it does not provide all the non -change storage in this agreement. If it is possible to write “non -changing” data through a backup, storage official, seller, or attacker, this is not a truly unchangeable storage solution. Understanding the basic concept of real installation will help separate safe backup systems from empty sellers’ claims.

These five requirements help determine the backup storage environment that provides stability:

1. Store the S3: A fully documented standard and open with the original stability that allows an independent penetration test
2. Zero time to be affected: Backup data must be unchangeable at the moment it is written
3. Zero access to destroyed procedures: No official – internal or external – should be able to modify, delete or reset the non -changeable data.
4. Divide backup and storage programsBackups and backups must be dismissed physically to prevent the use of accreditation data at risk to change or destroy data, and provide flexibility against other disasters.
5. The form of the shape of the devicesSpecialized devices isolates non -changing storage from virtual attack surfaces and must remove all risks during preparation, updates and maintenance.

By meeting these requirements, institutions can ensure non -eradication and thus ensure that everything that happens – drivers, internal threats, or accreditation violations – the appearance data remain protected and refundable.

Since artificial intelligence becomes a fixed tool for companies, they need to adopt and determine better data and infrastructure management to ensure data maturity. The answer to this may lie in storage and advanced backup as the best way to secure excessive quantities of data created and trained with artificial intelligence and allow the ability to quickly access and secure this critical and expanding data.