The rapid development of artificial intelligence and machine learning in the modern world will lead to a record growth in storage requirements. Moreover, machine training, according to industry experts, should change the very principles of the work of companies and organizations.

Machine learning requires ever larger amounts of data The rapid development of artificial intelligence and machine learning around the world will lead to even greater growth in the consumption of computer storage systems, experts say.. In their opinion, this will force the already growing industry to increase production at a significant pace.

"The introduction of machine learning will quickly have a significant impact on data access systems and infrastructure management. Prototypes of machine learning systems of the first generations are usually built on the basis of existing storage capacities, "- said Laura Shepard (Laura Shepard), senior director of DataDirect Networks.

It is for this reason, even for the most successful machine learning systems, typical problems associated with a lack of computing power and too little data access speed.

"There are scaling failures, such as the inability to provide access to data at the required speed, the inability to scale the conversion of the amount of data to improve the results and the inability to scale data storage at a simple or cost-effective level. Any of these failures can frustrate the progress of the entire program, because if you can not increase your costs or increase the depth of your deep training network, you will not be able to scale your results, "said Laura Shepard.

However, the listed problems bear in themselves and positive prospects. The need for infrastructure development leads to the emergence of a large number of start-ups that are trying to solve all these difficulties.

"Data Center infrastructure management is a process of active work that outstrips the needs of business. Machine learning should improve storage performance, service levels, efficiency through automation, "said Frank Berry, senior analyst at IT Brand Pulse.

The development of artificial intelligence will lead to the automation of IT systems.

Kevin Liebl, vice president of marketing for Zadara Storage, also believes that the development of machine learning and artificial intelligence will have a positive impact on the infrastructure. "Automation will significantly increase the number of servers that an administrator can manage - from about 500 servers to today to about 20 thousand. Servers in the future, when they will be fully equipped with systems of analytics and automation programs, "- says Libel.

He also added that storage systems are a key part of an automated data center, because automation requires the launch of a huge number of different processes that naturally generate data. Because of this, new data in the near future will be generated in huge volumes, including, due to the growth of cloud infrastructure, mobile systems, the Internet of things, social media and analytics. Therefore, experts expect that the total amount of stored data worldwide will be doubled every two years.

Analysts also note that artificial intelligence and machine learning can have the same impact on the data storage industry as the appearance of personal computers on the world of business. "Over the next twenty years, companies are evolving into organizations, many processes that are controlled by artificial intelligence. It will be a world in which data provides effective work, allowing machines to collect information, train and help people make decisions in real time, "said Michael Tso, head of Cloudian.