Time and again, enterprises show that they are willing to put up with imperfect technology as long as they can get work done faster.
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Why do enterprises so often choose to run applications in the cloud even when it may not be the cheapest option? Why do they turn to open source even if it’s not the most feature-complete choice? And why is generative AI so frothy hot even though, as my InfoWorld colleague David Linthicum argues, “Companies are good at spending money [on AI] but bad at building and deploying AI.”
The answer is speed. As an IT executive friend at a large financial services firm told me recently, it’s expensive to move slowly when market opportunities require fast execution. For him, it’s imperative to build with the cloud’s elastic infrastructure to eliminate the possibility that his company may fail to capitalize on windows of opportunity. This same general principle is …