When companies try to "sprinkle some AI" on a product

If you've been in the data game long enough, you've probably seen
this before: a stakeholder or product owner approaches you with a
project that's 95% done, and they'd like you to … "sprinkle some
AI on it."  They've heard that this "AI" thing can be useful
so they want some of it in their latest effort.Data
scientist-turned-product person Noelle Saldana has experienced
the "sprinkle some AI on it" request more times than she'd care
to remember.  Our Senior Content Advisor Q McCallum met up
with Noelle to explore this phenomenon.  How does this
happen? (Hint: "corporate FOMO.")  What should you do when
stakeholders insist on implementing AI that isn't actually going
to help?  What about when your data scientist peers seem
like they're doing this for the sake of "résumé-driven
development?"Ultimately, the pair work through the bigger issue:
how do you make peace with companies throwing money at AI like
this? And how can these companies use this approach to their
advantage?As a bonus, Noelle shares how she made the move from a
data scientist role into product management.  If this path
sounds interesting to you, take a listen.


Noelle's Data Council talk, "Hot Takes and Tragic Mistakes:
How (not) to Integrate Data People in Your App Dev Team
Workflows"

Find Noelle on LinkedIn:
https://www.linkedin.com/in/noellesio/

Q's blog post (which came out much better thanks to Noelle's
help): "AI isn't something you just add to a company"