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null

Have any of you implemented AI / ML for a client? What does it typically look like (who advises on algorithms, which data to process, extract and validate meaning, etc)?

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As a side note, there are very few AI or ML implementations done. Most of the chatter is just people hyping it but never putting the focus or resources behind it to do much of anything. In the end, much like ‘big data,’ it’s all spin and no substance.

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Write your own proposal slides...

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I feel there are a very few teams out there that actually do AI/ML related stuff. Most of the other stuff is pure garbage.
I was talking to a SM who leads a data analytics team, but doesn't even know what R is. *SMH*
Forget about advanced analytics!

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Not for a proposal, actually interested in what it typically looks like

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Yes, I have been part of many engagements where my team has done this. Too much to type about here though.

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My team absolutely implements ML. We have PhDs who design or modify algos, and a team of folks who implement. Depends on the engagement, but we do everything from hardware fault detection to financial anomaly detection and several other things in between.

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Don’t you have an internal knowledge management system that has those slides?

A1 don't speak for us all

Those who are doing AI/ML learning implementations, consider yourselves very lucky. Those buzz words will lure people in and make you more desirable as a consultant :)

Ditto

Sitting in a room with the guy who runs D&A nationally... can't tell difference between arithmetic, geometric and harmonic mean.

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