At the same time, accommodated services such as solutions generating AI and tailor -made industry can help companies quickly launch applications and develop the business. To make the most of these services, companies turn to the optimization of the cloud – the process of selection and allocation of cloud resources to reduce costs while maximizing performance.
But despite all the interest in the cloud, many workloads remain blocked on site, and many others are not optimized for efficiency and growth, considerably limiting the momentum before. Companies are lacking a virtuous cycle of mutually reinforcement results which comes from even more effective use of the cloud.
Organizations can improve safety, make critical workloads more resilient, protect customer experience, increase income and generate cost savings. These advantages can fuel growth and avoid spending, generating capital that can be invested in innovation.
“Cloud optimization is to make sure that your cloud expenses are effective so as not to spend reversed,” explains André Dufour, director and general manager of AWS Cloud Optimization at Amazon Web Services. “But you cannot consider it only as cost savings at the expense of other things. Dollars released by optimization can be redirected to finance new net innovations, such as a generative AI.”
This content was produced by Insights, the personalized content branch of the MIT technology review. It was not written by the editor of MIT Technology Review.
This content has been sought, designed and written entirely by writers, publishers, analysts and human illustrators. This includes writing surveys and data collection for surveys. The AI tools that may have been used were limited to secondary production processes that have achieved a thorough human review.