DATA CENTER

Smarter Data Center through AI Integration

Dec 10, 2018

GianChrister Tome
International Marketing
PCCW Solutions

With the constant influx of disruptive technologies, data centers are evolving to become the efficient and intelligent enterprise platform. Data center automation is on the rise, and with the advent of Artificial Intelligence (AI), its overall operation will soon become autonomous and self-supporting. IDC worldwide data center 2019 prediction states that by 2022, 50% of IT assets in enterprises’ data centers will have the ability to run autonomously through the use of embedded AI functionality that leverages smart IT and facilities systems1. Digital transformation requires companies to be nimble and responsive to customers, integrating AI into data center operations will drive business agility.

Preventing outage with proactive predictions

Many AI-based applications using machine learning or deep learning are working towards predicting failure within the data center equipment ahead of time. Through the data center sensors that collects real-time data of all installed devices like electrical cables and sockets, UPS systems, current regulators, and generators, AI algorithms uses failure-rate prediction modeling to statistically calculate and monitor the likelihood of equipment failure based on historical data and equipment runtime/lifespan to prevent accidental outage2. This will ensure constant and stable uptime regardless of any power shortage and maintain data integrity all happening in real-time without any human intervention.

Intelligent analytics for energy optimization

Energy optimization through AI addresses the challenges posed by data centers on how these facilities consume a conspicuous amount of energy footprint. AI technology can provide a better energy strategy for enterprises to balance increased performance and reduced consumption, specifically on the cooling system by monitoring fans, vents, and water cooling valves. AI can use advanced data analytics and simulations on intelligent water cooling systems of data centers to pipe controlled loop of unchilled water directly to the CPU, memory, and other high power consuming components to dramatically reduce energy cost by 40% without sacrificing compute power3. This method of dynamic cooling optimization used by AI monitors the facility’s overall cooling infrastructure based on environmental conditions, making it self-autonomous and minimizing human intervention. Shifts in temperature trigged by sudden burst of data traffic can happen at any given point in time, which could potentially generate significant amount of heat. With the help of AI algorithms, it can automatically adjust the cooling output by redirecting it to the heat loads to help eliminate unnecessary cooling and reduce energy consumption in the process.

Overall efficiency for ideal performance

With the implementation of AI within the data center infrastructure, companies can easily monitor the overall processes and integrity of the hardware installed. Most importantly, making sure that the distribution of resources is balanced within the servers. AI uses smart sensors to measure server heat as well as monitoring backup generators. This also helps in regulating overall power efficiency and performance all throughout. Statistics from Data Center Science Center show that AI advancements in UPS efficiency and cooling energy losses helped ordinary data centers cut physical infrastructure costs by 80%4.

Data and task simplification

As data center demands continue to grow with the rapid technological trends, AI can significantly provide great impact in simplifying huge amounts of data and lifting heavy tasks to IT professionals. With the AI’s capability to handle large amount of data, it will effectively shorten the time spent by IT staffs to optimize systems, thus augmenting the tasks moving forward. Simply put, by incorporating AI, it effectively takes over the mundane job of monitoring networks and other related infrastructures and makes IT professionals more efficient by focusing on other critical matters5.

AI is indeed the next wave of business innovation. It is reshaping the industry and changing the data centers that are responsible for powering the world’s business and commerce today.

1 https://www.brighttalk.com/webcast/15909/334918
2 https://www.datacenterknowledge.com/machine-learning/enlisting-machine-learning-fight-data-center-outages
3 https://datacentrenews.eu/story/how-minimise-data-centre-environmental-impact
4 https://www.telehouse.com/2018/04/role-artificial-intelligence-data-centers/
5 https://www.livemint.com/AI/rG65mGL31dFOWvwRdPsE6J/Artificial-Intelligence-key-to-improve-efficiency-of-data-ce.html