Although the concept of artificial intelligence was proposed in the 1950s, there has been no significant technological progress due to the computing ability of the computer at that time. Nowadays, with the increasing computing ability, the emergence of cloud computing, big data, virtualization and other technologies has made AI technology possible. Of course, AI technology also comes from the data center. Data center has computing, data and network resources. At the same time, AI can be applied to the data center to the greatest extent.

At first, AI technology depends on massive data and it uses massive samples machine learning, so the algorithm is optimal. If the sample is not enough, it will lead to inaccuracy or even wrong algorithm. The natural data center is a massive database, every generation and forwarding the data in the exponential growth. With these data, it can get a lot of meaningful data by using big data technology to the analysis (Dawson, et al., 2009).

And then, AI technology depends on computing, and only high-speed computing ability can complete the assigned task in a short time. The current data centers use the network for distributed computing, which greatly improves the computing ability. AI technology should be calculated when doing any work and then send out operation instructions according to the result of the calculation. Where is the data center? This is the computing center. The most missing part is thousands of servers, which can be added to the calculation data (Llewellynn, et al., 2017).

At last, AI technology depends on the calculation of cost reduction. Development and popularization of data center make the unit computation cost very low. AI technology is no longer so far away. The cost is no longer the stumbling block in front of AI technology. The larger the scale of the data center is, the lower the cost of computing, and AI technology will have a chance to play a role (O’Hare, et al., 2007).

In summary, AI technology and data center are a complementary relationship. Data center provides artificial intelligence with more technological support and creative possibilities. AI technology also brings great benefits to data centers, especially when applied to robot technology. The development of AI technology needs the data center, and the development of the data center will also be inseparable from AI technology.

Reference

Dawson, E., Reay, S., Macmillan, S., Flower, S., & Shanahan, T. (2009). Quality control procedures at the World Data Centre for Geomagnetism (Edinburgh). Iaga, Scientific Assembly, Sopron, Hungary, 23-30 Aug (pp.530-537).

Llewellynn, T., Fricker, S., Fricker, S., Leufgen, K., Leufgen, K., & Leufgen, K., et al. (2017). BONSEYES: Platform for Open Development of Systems of Artificial Intelligence: Invited paper. Computing Frontiers Conference (pp.299-304). ACM.

O’Hare, G. M., O’Grady, M. J., Tynan, R., Muldoon, C., Kolar, H. R., & Ruzzelli, A. G., et al. (2007). Embedding intelligent decision making within complex dynamic environments. Artificial Intelligence Review, 27(2-3), 189-201.