The Impact of AI on Modern Datacenters

The-Impact-of-AI-on-Modern-Datacenters

A few days back we wrote about the history of AI and then we followed it by telling you how it rose to success. In this particular post we are going to talk about the impact of AI on the data center industry.

According to a post by David Cappuccio (A member of Gartner Blog Network), about 80% of the enterprises will have shut down their traditional data center by 2050. We say that the figures are befitting to the kind of problems faced by traditional data centers.

So, how do data centers services keep themselves from suffering this kind of fate? Well, the solution rather lies in working intelligently, and by intelligently we mean inclusion of artificial intelligence. The inclusion of AI will definitely bring about significant changes in the way data centers in India work.

Reduction in Power consumption:

The surge in the amount of data generated everyday will put pressure on non-AI data center providers, which will eventually lead them to succumb to the ones that have AI integrated in their working. We’ve seen the impact of AI on the designing and development of modern data centers across the globe. Inclusion of AI will also lead to data centers improve efficiencies and reduce expenditure. The best example of this the implementation of DeepMind in 2014 by Google in their data centers. The system is implemented to cool the data center solutions autonomously. It is capable of tweaking the cooling plant continuously in real-time, which saves up to 40% of annual energy consumption.

Data center Management:

In the IT sector technological innovation is a constant process, what worked today might not work tomorrow. Also, there is a constant demand for continual uptime, along with the reduction of energy wastage and maximizing efficiency. AI in such cases helps ease out on human error and also helps the staff in improving results. This will result in demand for more technically sound managerial staff.

IoT:

This fast paced world is in constantly dependent on technology from the moment we wake up to the time we sleep. Internet of things or IoT helps in fast and easy transmission of data through technology. A simple example of IoT is the phone assistant, which is intelligent enough to recognize your questions and give accurate replies. Another example of IoT is the fitness tracker that learns, tracks, organizes and analyzes data based on your movements and gives health suggestions on the same.

Less troubleshooting errors:

Downtime in a data center equals financial loss. Data center providers are always on their toes when downtime hits, as they have to get everything back on track before any data loss occurs or business are hit. With the help of AI datacenters can predict errors beforehand to prevent any downtime issues.

HPE recently announced their first artificial intelligence predictive engine for data centers. HPE has said that their engine will help cloud hosting providers to predict general infrastructure troubles before they start. The add-on will detect root cause of any error and resolve the problem through data collection. This will surely help data centers in better managing their infrastructure.