Making smart data center through AI

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Artificial Intelligence (AI) plays a vital role in today’s data collection, processing, and analysis at a much faster pace than ever! The integration of data elements and the operation of data centers is also becoming more effective and useful. With data being a pre-requisite for insight and business outcomes to support almost any business process, data centers are at the core of this digital transformation. The knowledge needs of the modern economy are driven by these physical facilities that house computers and equipment.

Although supporting cloud storage applications and transactions, data centers offer seamless data backup and recovery facilities. In addition to improving the economy, several foreign technology companies are drawn to the country by the data center ecosystem. Also, the involvement of data centers means that the local community has an outstanding investment atmosphere and job opportunities.
They are not without difficulties, considering their key position in bringing about the digital revolution. 80 percent of companies will shut down their conventional data centers by 2025, according to Gartner analyst Dave Cappuccio. Taking into account the host of problems facing conventional data centers, such as lack of readiness to upgrade, technology issues, environmental problems, and more, the statistics are relevant. And the solution for this is using artificial intelligence to boost the functions and infrastructure of the data center.

Artificial intelligence is poised to have a huge effect on data center management, efficiency, and technology in early 2020, as per a Forbes Insights report. In the meantime, its technologies continue to provide future options for data centers to optimize operations over the long term. Artificial intelligence is poised to have a huge effect on data center management, efficiency, and technology in early 2020, as per a Forbes Insights report. In the meantime, its technologies continue to provide future options for data centers to optimize operations over the long term.

Data centers consume a lot of resources, so a key aim is to train an artificial intelligence network to increase the efficiency of power use (PUE). To measure data center effectiveness, PUE is an integral metric. In 2014, Google was able to reliably achieve a 40 percent reduction in the amount of energy used for cooling by installing Deepmind AI at one of its facilities. The lowest PUE the site had ever seen was also made. To boost performance and reduce power usage, Deepmind analyzes over 100 different variables within the data center.

Data centers are vulnerable to numerous cyber threats as well. Cybercriminals are still seeking new ways to steal data from data centers or conduct their next assault on data breaches. Artificial intelligence proves to be resourceful again by studying standard network conduct and identifying cyber threats based on deviation from that conduct! By evaluating events and inputs from multiple systems, and designing an effective incident response system, artificial algorithms can complement current Security Incidents and Event Management (SIEM) systems.

IT devices are often deployed or withdrawn from shelves in a data center, carrying a lot of dispersed resources, such as U space, which can not be tracked or controlled and are easy to waste.

Artificial intelligence facilitates efficient data center technology management through the use of intelligent hardware and IoT sensors, keeping a close eye on the data center and reducing repetitive work through automation.

MIT researchers have recently developed an AI framework that automatically learns how to schedule operations for data processing across thousands of servers. In completing key data center activities, this device was found to be about 20 to 30 percent faster and twice as fast during high-traffic hours.

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