Anyone work with AI at a macro level? I am trying to understand how AI is consumed today within software? I would guess software companies use cloud providers AI solutions followed by open source and then maybe through smaller providers, proprietary AI and APIs. Anyone has deeper understanding of this?

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Worked in COE for AI and ML.
1. Business value (problem looking for solution) is first and foremost. No different than other PM jobs. If AI can do existing solution 10x better, look to solve it.
2. AI needs data. Lots of it.
3. No need to reinvet the wheel. Open source and FAANG models works. You need to train with your data though where 2nd comes in.
4. Data is never ready to consume. Need to be labeled, cleaned and PII info. Good to have good data Givernance practices and function.
5. Modal fit - data input, output result. Have a pilot and see if model fit is there or go to step 2.
6. Output data feeds into some place from where analyst or other business teams leverage it via API etc. You still need to build it.
7. Monitor models. - it needs retaining, data, or will drift and you need backup plan.

In nutshell, even you get open source algorithms and models for free, it's still tons of work.


Great answer!

On a macro level, I work for law firms and regulatory authorities to find illegal things using open source models. There really is no universal out of the box model. It's a combination of everything.

It depends. What’s the problem being solved? What’s the timeline? Who do you ah e on your team? Who can you hire and keep? What’s the budget? And a lot of other factors.

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