Data engineering and AI in orgs - how did you start?
Hi all
So I am a data engineer in a Fortune 50 company. Our company and org has had a pretty big push into the AI landscape, and our team is trying to come up with solutions that would be meaningful and provide actual business value.
Currently, like with many of the other companies our leadership is simply saying ‘Use AI, create something’ etc etc, without any direction on what to do.
I would like to understand with the fellow data engineers here - how did you and/or your team came up with an AI solution?
Was it a top-down request or did the engineers find a friction point in the data?
How did you narrow down the pain point which you figured could use AI implementation?
Feels like lot of things are possible, but scaling it and bringing actual business value is always challenging.
Please share your thoughts!