3 downsides of generative AI for cloud operations

I understand the benefits of generative AI; my background is in artificial intelligence development and integration with enterprises and cloud architectures. However, I also know that where there are many benefits, there are downsides that must be considered simultaneously. Generative AI is no exception, and it is moving at a speed that makes it essential to determine how to manage it effectively and reduce any negative impacts.

I’ve come up with my top 3 drawbacks of generative AI that cloudops pros need to understand and manage.

Acceleration of cloud application deployments 

This is the biggest issue I’m seeing. Now we can have generative AI-powered development tools build applications quickly using no-code or low-code mechanisms. The number of applications deployed (that all require management) can easily spin out of control. 

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Author: . [Source Link (*), InfoWorld]

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