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 price saver to grow to be an important driver of innovation, transformation, and disruption. Now, with AI within the combine, enterprises need 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 corporations are to understand the mixed potential of cloud and AI. To additional assess this state of readiness, MIT Know-how Assessment Insights and Infosys surveyed 500 enterprise leaders throughout industries reminiscent of IT, manufacturing, monetary companies, and shopper items about how their organizations are fascinated by—and performing upon—an built-in cloud and AI technique.
This analysis discovered that the majority corporations are nonetheless experimenting and getting ready their infrastructure panorama for AI from a cloud perspective—and plenty of are planning further investments to speed up their progress.
This content material was produced by Insights, the customized content material arm of MIT Know-how Assessment. It was not written by MIT Know-how Assessment’s editorial workers.
