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Please help me calm down. My manager has mentioned “a great raise” to expect in July. It finally reflected today and is < $1/hr. Under 3%.
During our last company wide chat they talked about retaining top talent. Now have a meeting with my manager in a day. I’m wondering how to best approach this discussion.
know I’m a top performer. I know if I quit they will be a sinking ship (the team is already drowning with work), and I carry a lot of the burden. Trying to stay professional. HELP!Gallagher
How is the Scrum Master profile in Walmart?
Going into busy season like

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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 pains me to say this. Try the link below. They have some tools and info to build AI. By far Google is the most open about it.
https://cloud.google.com/products/ai/
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.