"A survey of 300 senior IT leaders from organizations with 1,000 or more employees in the U.S. and the United Kingdom (UK) finds that many organizations are not yet ready to deploy artificial intelligence (AI) workloads at scale. Conducted by Global Survey Research on behalf of ControlMonkey, a provider of a platform for automating the management of IT infrastructure at scale, the survey finds 83% of respondents expect the number of AI-driven workloads being deployed will rise 50% in the next 12-24 months."
"However, well over half (54%) said they aren't fully ready for IT automation at AI scale, with top concerns being reliability (43%), skill gaps (39%) and scalability limits (36%). Other concerns include rising cloud costs (27%, overloaded compute and storage capacity (20%), deployment bottlenecks (18%), security and compliance issues (18%) and observability (17%). A total of 46%, however, also noted they have limited or no bandwidth available to devote to the infrastructure innovation that will be required to deploy AI workloads at scale."
Three hundred senior IT leaders at companies with 1,000+ employees in the U.S. and UK report expectations that AI-driven workloads will increase about 50% over the next 12–24 months. Fifty-four percent said they are not fully ready for IT automation at AI scale, citing reliability (43%), skill gaps (39%), and scalability limits (36%) as top concerns. Other issues include rising cloud costs, overloaded compute and storage, deployment bottlenecks, security and observability. Forty-six percent reported limited or no bandwidth for necessary infrastructure innovation. Top needs for managing AI workloads include training and visibility (45%), cost controls (21%), governance (20%), and automation (14%).
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