The 2024 State of AI Infrastructure Report reveals that 93% of respondents mentioned there could be penalties if their organizations don’t obtain the objectives specified by their AI roadmaps
Flexential, a number one supplier of safe and versatile knowledge heart options, launched its 2024 State of AI Infrastructure Report, a brand new survey on AI infrastructure investments and challenges. As organizations throughout almost all industries plan formidable roadmaps for AI adoption, Flexential’s report highlights essential areas the place IT leaders should evolve their present infrastructure to satisfy the rising demand of high-density AI workloads and latency-sensitive AI functions.
The report findings are primarily based on a survey of 350 IT leaders at organizations with over $100 million in annual income, together with 100 respondents at organizations with over $2 billion in annual income. The survey discovered that IT leaders are optimistic about plans to combine AI into their operations, but they face challenges in terms of scalability, workforce expertise gaps, safety, sustainability, and C-suite dedication to options.
Amongst organizations with AI roadmaps, 59% of respondents mentioned rising IT infrastructure investments was a component of that roadmap. Flexential’s survey additionally discovered that 45% of respondents from organizations with AI roadmaps mentioned failing to satisfy the objectives of their roadmap would have an effect on their capability to innovate – suggesting that enterprises must be devoted to up-leveling AI infrastructure and using a strategic, proactive strategy to AI workload deployment with a view to harness AI’s potential. Notably, almost all respondents (93%) indicated there’s a better expectation that IT leaders of their group decrease time-to-revenue for AI-driven IT infrastructure in comparison with 5 years in the past.
Nevertheless, AI infrastructure investments face important hurdles for a lot of organizations. Networking challenges and knowledge heart scale are main causes of AI efficiency points, with 82% of respondents having encountered a efficiency situation with their AI workloads previously 12 months associated to bandwidth shortages (43%), unreliable connections (41%), or issue scaling knowledge heart area and energy (34%).
“The stakes are excessive for AI infrastructure investments,” mentioned Chris Downie, Chief Government Officer of Flexential. “Our survey reveals that enterprise leaders are able to execute on formidable AI plans, with over half of leaders (53%) stating that C-level management is behind the stress to quickly undertake AI. But, many enterprises really feel held again by important challenges of their IT infrastructure, workforce, or group’s management. The findings underscore the urgency in addressing knowledge heart must efficiently ship on their AI roadmaps and optimize efficiency via strategic IT service companions.”
Further key findings from Flexential’s report embody:
- AI receives board-level scrutiny. AI initiatives are more and more pushed by the C-suite and boards, with 53% and 46% of respondents respectively figuring out these teams as the principle forces behind AI adoption. This top-down stress has elevated each assist and scrutiny for AI investments.
- Discovering the proper folks for the job is tough. 91% of respondents say they’ve skilled some type of expertise or staffing hole associated to AI previously 12 months, and 53% reported expertise gaps or staffing shortages associated to the administration of specialised computing infrastructure.
- Privateness and safety are a prime precedence. 42% of respondents whose organizations have pulled an AI workload again from public cloud mentioned it was on account of knowledge privateness and safety issues.
- Excessive efficiency necessities lead organizations to accomplice with consultants. 51% of respondents are addressing efficiency points by utilizing third-party colocation knowledge facilities to course of knowledge nearer to the sting of the community.
- Sustainability is prime of thoughts. 94% of respondents would pay extra for knowledge facilities or third-party cloud distributors to make use of clear or renewable vitality and/or purchase credit to offset their carbon footprints.
Entry the complete 2024 State of AI Infrastructure Report.
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