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Our Data Intelligence team, in particular, leverages data and machine-learning capabilities to build innovative experiences for our audience and provides scalab

Our Data Intelligence team, in particular, leverages data and machine-learning capabilities to build innovative experiences for our audience and provides scalable solutions to CNN’s operations. So, in plainer terms, what is the use that ML is being put to here? Recommending different stories to users? Choosing which reporters to send to which locations? What sort of stories get the most engagement? Which villain is trying to steal Aunt Em's ranch? Deep fake versions of their reporters when they're short on staff? Or What? It seems like everyone with an IT department and lots of data is trying to do ML but the possibilities seem thinner and thinner. People look at this stuff have too easily said "AI Winter" but current ML useful enough that it won't go away but it still seems like some retrenchment will go. Or, IDK, maybe there are a wider array of possible applications than I'm thinking of. I'm curious.

vtuulos 6y ago
Just my experience from Netflix tells that a large company can have tens of use cases for optimization of different kinds, ML included. Often it is the least hype-worthy cases that are the most valuable for the business (e.g churn prediction, marketing budget optimization etc)
kldavis4 6y ago
At CNN our initial ML application is around personalization (ie article/video recommendations). While this is our main focus, we are exploring other applications. Eventually my hope is that we are able to provide tools that assist the content creators.
- trdtaylor1 6y ago
  At the Navy, our best usage of ML is simply GUI scraping and figuring out the default action set for new hires paperwork. it basically is a screen macro that screams through forms. Took days before now takes 15 minutes. really dumb, but simple and useful in a bureaucratic 300k strong org, with possible real ML in the future for highlighting possible actions instead.

vtuulos 6y ago

Just my experience from Netflix tells that a large company can have tens of use cases for optimization of different kinds, ML included. Often it is the least hype-worthy cases that are the most valuable for the business (e.g churn prediction, marketing budget optimization etc)

kldavis4 6y ago

At CNN our initial ML application is around personalization (ie article/video recommendations). While this is our main focus, we are exploring other applications. Eventually my hope is that we are able to provide tools that assist the content creators.

trdtaylor1 6y ago
At the Navy, our best usage of ML is simply GUI scraping and figuring out the default action set for new hires paperwork. it basically is a screen macro that screams through forms. Took days before now takes 15 minutes. really dumb, but simple and useful in a bureaucratic 300k strong org, with possible real ML in the future for highlighting possible actions instead.