Realizing AI’s full potential acceso a mass scale will require more than just executives’ enthusiasm; becoming a truly AI-first enterprise will require a significant, sustained investment sopra cloud infrastructure and strategy. Per mezzo di 2024, the cloud has evolved beyond its initial purpose as a storage tool and cost saver to become a crucial driver of innovation, transformation, and disruption. Now, with AI sopra the mescolanza, enterprises are looking to the cloud to support large language models (LLMs) to maximize R&D forma and prevent cybersecurity attacks, among other high-impact use cases.
A 2023 report by Infosys looks at how prepared companies are to realize the combined potential of cloud and AI. To further assess this state of readiness, MIT Technology Review Insights and Infosys surveyed 500 business leaders across industries such as IT, manufacturing, financial services, and consumer goods about how their organizations are thinking about—and acting upon—an integrated cloud and AI strategy.
This research found that most companies are still experimenting and preparing their infrastructure landscape for AI from a cloud perspective—and many are planning additional investments to accelerate their progress.
This content was produced by Insights, the custom content arm of MIT Technology Review. It was not written by MIT Technology Review’s editorial .
