For many companies it is solved, but I just had a conversation with two people in the last few weeks who ran into the issue of deploying models because their company didn't have a plan for it.
Referring to number 4, how do you not get burnt out in data world with companies chasing the same holy grails/problems? Has consulting helped you with that as you get a bit more variety?
Looking to get more insights on vertical-specific data platforms and solutions from you!
Yeah, might have to do a deeper dive
Nice overview!
You wrote "Once someone has a model, no one knows how to deploy it." Are you talking here about ML? Or LLMs?
I thought this was a solved problem by now....
For many companies it is solved, but I just had a conversation with two people in the last few weeks who ran into the issue of deploying models because their company didn't have a plan for it.
Insightful predictions! It's interesting how SQL is standing strong over the years. Learning the foundations always pays off!
It's hard to get rid of for sure!
Referring to number 4, how do you not get burnt out in data world with companies chasing the same holy grails/problems? Has consulting helped you with that as you get a bit more variety?
I don't see exporting to Excel as a bad practice. You only need to be sure you export curated data and are not inventing metrics.
Maybe we wouldn't need this if there was a way to embed actual Excel into the BI tools?