A lot of companies are using AI by doing “plug and pray” as in hoping it will work rather than understanding the use case and what the problem is

AI LOVES writing code rather than write code after principles such as DRY. This can cause issues with readability and usability

It failed because it couldn’t effectively access relevant information to help the engineering customers out properly. In the end the devops team always had to help so they scrapped it

I love this!

Also removing failure or needing to deal with failure. We learn from failure. Are we dumbing down our very skilled work force?

Adding custom alerting on spend can also help understand what you use and why and when.

Makes me think of cloud providers have a responsibility to advise their customers better?
Make sure you only pay for what you need.

Financial efficiency in the cloud:
*can you negotiate fixed billing?
*75% of companies overspend when moving to the cloud due to poor planning / understanding of billing models