Machine Learning for Business: Turning on the Cooling Effect for Data Centers
Data centers consume a huge amount of energy and need a solution to keep the servers away from being overheated. Enterprises are deploying cooling systems with the help of service providers to optimize energy usage and remove excess heat generated from the tons of servers.
‘Google’ teamed up with ‘DeepMind’ and experimented using ML algorithms to come up with a way to optimize their energy consumption for cooling activities. The pilot project resulted in reducing energy consumption by 40% without influencing server performance.
TSPs are taking this advantage and implementing machine learning for business activities and crafting innovative data center cooling solutions at optimal costs.
What you should do now
- Request a Demo and see how Draup can maximize the impact of your go-to-market teams with AI-driven sales intelligence.
- Read more free material about sales intelligence topics in our blog.
- If you know someone who’d enjoy this page, share it with them via email, LinkedIn, Twitter, or Facebook.