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How Artificial Intelligence can Make Data Center Smart
Data centers are also vulnerable to a variety of cyber threats. Cybercriminals are constantly devising new methods for obtaining data from data centers or launching their next data breach attempt.
Fremont, CA: Today, Artificial Intelligence (AI) is critical in acquiring, processing, and analyzing data at a much faster rate than ever before! Incorporating data pieces and managing data centers are likewise getting more efficient and beneficial.
With data becoming a requirement for practically every business operation in order to gain insight and achieve business objectives, data centers are at the epicenter of this digital transformation. These physical structures that store computers and equipment support the modern economy's information needs. Data centers offer continuous data backup and recovery services, as well as support for cloud storage applications and transactions. Apart from strengthening the economy, the data center ecosystem attracts a large number of international tech enterprises to the country. Furthermore, the existence of data centers ensures a favorable investment climate and job prospects for the local population.
Because data centers use a lot of energy, training an artificial intelligence network to enhance power use effectiveness (PUE) is an important goal. PUE is an important indicator for measuring data center efficiency. Google routinely achieved a 40 percent decrease in the amount of energy consumed for cooling by putting Deepmind AI in one of their facilities in 2014, which is equivalent to a 15 percent reduction in overall PUE overhead after accounting for electrical losses and other non-cooling inefficiencies. It also created the lowest PUE ever recorded at the site. Deepmind monitors over 100 variables in the data center to increase efficiency and reduce power usage.
Data centers are also vulnerable to a variety of cyber threats. Cybercriminals are constantly devising new methods for obtaining data from data centers or launching their next data breach attempt. Artificial intelligence demonstrates its resiliency by learning regular network behavior and recognizing cyber threats based on deviations from such behavior. By analyzing events and inputs from many systems and designing a suitable incident response system, artificial algorithms can supplement current Security Incidents and Event Management (SIEM) solutions.
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