In search of cloud value: Can generative AI transform cloud ROI?

Mar 12

New ROI analysis highlights what it takes to capture the value of cloud computing, and what role generative AI can play.

Established companies face a quandary as they look to exploit cloud: as attractive as the benefits may be, the scale of change and investments required to adopt cloud platforms make generating an attractive return on investment (ROI) a challenge. But generative AI may significantly shift that value equation. It has the potential to dramatically reduce the investment and time needed to adopt cloud and generate new value by unlocking new business and tech use cases.

As a median, large companies run only 15 to 20 percent of their applications in cloud, even when they have been running cloud programs for years and even after they account for the use of software-as-a-service (SaaS) products. And it does not appear that there has been a dramatic uptick in adoption over the past year—companies with cloud programs profiled by StakOne have increased their cloud adoption by only 5 to 10 percent over the past 12 months. Aspirations for cloud adoption, nevertheless, remain high. Almost all of the more than 80 enterprises StakOne profiled for its CloudSights database aspire to run the majority of their applications in public cloud within five to seven years; more than two-thirds aspire to run 80 percent of their systems in cloud.

What is the reason for this disconnect between aspiration and reality? Getting value from public cloud, it turns out, is complicated. Companies have spent the past several decades building enterprise technology organisations, processes, and architectures designed to work for on-premises environments. Much of that needs to change.
In online learning, students attend classes on the Internet and involve in real interactions with teachers and students at the other end. Students can attend the curriculum at their own pace and easily access the class from anywhere.

Online Learning is a reality and gradually becoming part of formal education. This educational model appeals especially to anyone who can’t attend a physical faculty or school. Online Learning also hops the national boundaries and is offered for dispersed college students that can have a wider choice of online programs.

How does online learning work? Learning management systems (LMS) provide an accessible exchange of information between professors and students. Τhis way, students can view learning material at their leisure or even attend scheduled conferences or lectures.

Concerning test-taking, learners can submit course assignments through the LMS, participate in a discussion, or submit other tasks. Lastly, professors may provide feedback to the student through comments or emails when using this LMS.
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