It's no secret that artificial intelligence and cloud computing have revolutionized technology. Now, these two profound forces are joining together to reshape businesses and, ultimately, all of our lives.
Cloud providers are leveraging their own advancements in AI to drive everything from supply chain predictability and code generation to cyber threat detection and response and business function productivity, says Matt Hobbs, a partner and US Microsoft practice leader at business advisory firm PwC.
AI is accelerating the adoption of cloud computing while also enabling cloud providers to enhance platform solutions and services, observes Tim Potter, a principal with Deloitte Consulting. "Most AI solutions are either services offered directly by cloud hyperscalers or solutions built on top of a hyperscaler's cloud infrastructure," he says.
Cloud adopters accelerate their exploration and application of AI through access to AI tools developed by hyperscalers, says Andy Sealock, a senior partner at business consulting firm West Monroe in the firm's IT advisory and transformation practice. He observes that enterprises already in the cloud can easily access a hosting solution for developing, testing, and implementing new AI-based apps.
Many hyperscaler cloud providers are jumping on the AI bandwagon with an array of ready-to-use AI-based solutions, such as chatbots and virtual agents, that customers can implement to address business needs without incurring the time and expense of building those capabilities internally, Sealock notes.
Sealock says he wouldn't describe the relationship between AI and cloud computing as transformative, but rather as two technologies that are synergistic and simultaneously accelerating in terms of both growth and adoption, as well as evolution, maturity, and refinement.
Integrating generative AI while drawing from cloud-stored data can lead to more agile, efficient and responsive business processes, says Alex Manders, a partner with technology research and advisory firm ISG. "This integration ensures that processes are continuously refined based on real-time data, leading to streamlined workloads, improved resource allocation, and enhanced overall business performance."