(upbeat music) - [Interviewer] Coin the term data science, data scientist hasn't been around that long. How do we know that it's just not going to go away in the future? - We don't. But here's the astonishing thing, Here's what we know for fact, the ability to use data to disproportionally provide value add is just growing and every year we have just seen it just improve and improve and improve and this has been a trend that has been going on for decades.
You know, from the Ford Assembly Plant days, to people starting to talk about the idea of Six Sigma and how do we get improved efficiencies to the world of linear programing which companies that do logistics like Fed-Ex, and DHL and UPS are built on to then moving into the world of starting to use more sophisticated techniques, like around machine learning and other things, this is just progressing. The field of AI has been around since the seventies and has gone through multiple waves and now is catching stride but all of this is leveraging data and now as we have increased amounts of censors, computational ability, that's only going to continue.
I have been incredibly surprised at the speed and growth of how data science has taken off and the demand by students to say they want to be in data science is blown me away. I'm so incredibly impressed. But what I think fundamentally though at this overall is we're just seeing how people want to use data in more and more unique ways and every time someone tells me about, like oh, we're using data in this novel way for this type of problem or that problem I think I would have never thought about that, I never would have imagined we could use data to have such an impact on the criminal justice system or in the case of Crisis Text Line, which is a service where you can text in for mental health issues.
If you text in and you use a word, "Tylenol" "aspirin" or "Advil" we know that you're four to sixteen times more likely to be in the act of committing suicide, because you can use all the broad set of data that's out there, collect it together, and start looking for patterns. That's a place nobody had thought to look for or the opioids crisis or pick all these other things. I think we are just at the beginning of scratching the surface of seeing where it is. Maybe it won't be always called data scientist. Maybe they'll be different versions of it but what I think is changing fundamentally is that we're asking ourselves what does it mean to use data in novel ways to add value.
Skill Level Intermediate
Wrapping up1m 5s
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