Artificial intelligence (AI) refers to the intelligence exhibited by machines, which is the exact opposite of the natural intelligence exhibited by animals and humans. Computer programs also can learn and think. Mr. John McCarthy cast the term “artificial intelligence” in the 1950s: “Every feature of learning and other features of intelligence can be described in sufficient detail to trick a machine into simulating it. We’re letting them use it, forming abstractions and concepts, and trying to find ways to solve problems that are now left to humans and improve the machines themselves.”
A few examples of #artificialintelligence can be:
Everyone knows what Google Maps is. GPS (Satellite Navigation) used to be the technology for controlling commuter traffic. All this is made possible by integrating AI to give users a much better experience of their surroundings.
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Impact of AI on Data Centers
Data Center Staff Turnover
Adopting AI in the data center simplifies a variety of routine tasks such as Temperature control, equipment condition monitoring, ground security, and much more. Therefore, data center personnel do not have to perform a large no. of tasks. This approach allows organizations to overcome staffing shortages. Additionally, basic tech support and administration jobs will become outworn as companies have started embracing AI.
Data centers are at risk of many types of cyber threats. Cybercriminals are constantly finding new ways to access data from data centers. To do this, hackers regularly evolve more polished forms of malware and plan cyberattacks that can covertly penetrate corporate networks. Such malware allows hackers to access the sensitive data of millions of users. They often disguise
Themselves as legitimate tools to access user data.
So now Organizations can use AI in their #data centers’ security. To this end, AI can learn normal network behavior and detect cyber threats based on deviations from this behavior. AI performs a role in protecting organizations from cyber threats.
High energy requirements for AI in data centers:
Data centers consume large amounts of electricity not only to power the IT equipment itself but also to run cooling and air conditioning systems. The reports also predict that internet traffic will double from 2020 to 2022 and IoT connections will surge. All of this is driving exponential demand for #datacenter services.
So now, power consumption continues to increase. The industry group estimates that the average rack of the data center consumes nearly 7 kW of power, but AI applications usually consume 30 kW or more. This is a considerable leap, and as the use of AI increases.
Data center failures can result in significant downtime. As such, companies are hiring skilled professionals to monitor and predict data outages. However, implementing AI in the data center could be a viable solution to this crisis. To detect and predict data failures, artificial intelligence can monitor server performance, network congestion, and disk usage. With the help of AI, businesses can use advanced predictive analytics to track performance levels and identify potential failure areas in their systems.
Let us see what we can conclude :
AI has quickly moved from concept to reality and is now a familiar and pervasive technology. Power consumption across data centers hasn’t changed due to efficiency gains, but AI could cause a rapid spike in power consumption. A power system designer must constantly strive to reduce power subsystem losses and control costs and CO2 emissions. We must also look for new technologies and components to help us reach this goal.