Realizing AI’s full potential on a mass scale would require extra than simply executives’ enthusiasm; changing into a really AI-first enterprise would require a major, sustained funding in cloud infrastructure and technique. In 2024, the cloud has advanced past its preliminary objective as a storage instrument and value saver to grow to be a vital driver of innovation, transformation, and disruption. Now, with AI within the combine, enterprises wish to the cloud to help massive language fashions (LLMs) to maximise R&D efficiency and stop cybersecurity assaults, amongst different high-impact use circumstances.
A 2023 report by Infosys appears to be like at how ready firms are to comprehend the mixed potential of cloud and AI. To additional assess this state of readiness, MIT Expertise Assessment Insights and Infosys surveyed 500 enterprise leaders throughout industries resembling IT, manufacturing, monetary providers, and client items about how their organizations are enthusiastic about—and performing upon—an built-in cloud and AI technique.
This analysis discovered that almost all firms are nonetheless experimenting and getting ready their infrastructure panorama for AI from a cloud perspective—and lots of are planning extra investments to speed up their progress.
This content material was produced by Insights, the customized content material arm of MIT Expertise Assessment. It was not written by MIT Expertise Assessment’s editorial employees.
