One thing that caught my attention on Netflix’s Neil Hunt’s interview with Gigaom was this :
A Data Organization that works & works with business
Well said. That explains Netflix’s data Science in a nutshell that all Data Scientists should emulate !
From a Chief Data Scientist’s perspective, I really like their way of looking at Data Science viz:
- The folks who do data Science for the whole business
- The folks who build algorithms &
- The folks who do data engineering
In fact I had a blog on this specialization of Data Science skills
Netflix is putting more weight on actual behavior ! Interesting, we are also seeking similar effects ie differentiate between falling asleep on a couch vs. actually watching a TV show ! It is hard inference … Netflix has the blocker, I have nothing ;o(
Binge watching … interesting … We are actually working on algorithms to figure that out and change the ad mix. I plan to talk more at the TM Forum Digital Disruption Panel on December 9th !
Finally, the fact that importance of Netflix recommendation engine is underrated is so true. In many ways the recommendation algorithms and engines are core to many systems.
In fact, we have a reverse recommendation strategy ! We recommend users to ads !
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