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New Artificial Intelligence Research Findings Show Acceleration in Data Center Deployments
CoreSite announced the release of the new research report "Artificial Intelligence: Charting the Way Forward for AI: 2022 Survey of IT Leaders and Service Providers on AI Deployment" in collaboration with the market research and competitive analysis group Heavy Reading and Ericsson. The report examines industry trends and future infrastructure requirements to deploy artificial intelligence (AI) and highlights key business justifications for service providers to deploy AI in the data center, including better customer experience and retention, improved network performance and opportunities for new revenues and cost savings.

According to Heavy Reading, the data suggests that investments in deploying AI in data centers and networks can deliver a valuable return on investment and can have significant impact on key technologies that are being deployed today, including cloud services and 5G mobile networks.

Among the key highlights from the survey results are:

  • AI usage is expected to accelerate rapidly - the overwhelming majority of companies surveyed will be increasing their use of AI and machine learning (ML) in the data center. Over the next five years, 82% of respondents expect their company's use of AI to increase.
  • Hybrid IT is the solution businesses are leveraging to deploy AI - combining the power of on-premises and colocation data centers - the majority of businesses surveyed are planning to deploy AI in a hybrid combination of on- and off-premises data centers. The results also suggest a shift from on-premises to off-premises locations, particularly for mobile network operators.
  • The criticality of low latency networks, interconnection and cloud networking to deploying AI and AI infrastructure architecture - More than 80% of respondents said low-latency networks/interconnection/cloud networking is either critical or very important as part of their AI/ML infrastructure architecture.

"Low latency networks and artificial-intelligence-as-a-service (AIaaS) will play a significant part in AI/ML infrastructure architecture. Heavy Reading expects that the industry will continue to shift AI workloads toward off-premises colocation data centers and edge data centers within a hybrid infrastructure architecture," said Simon Stanley, Analyst-at-Large for Heavy Reading. "With the right investments in AI capabilities and resources, service providers can deploy AI in data centers and networks and deliver benefits across many market areas."

The Heavy Reading AI Acceleration in Data Center Service Provider Survey was conducted earlier in 2022 with individuals working for operators with mobile network businesses.

Published Tuesday, October 25, 2022 10:06 AM by David Marshall
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