Michael Segala

speaker
179 appearances 1 recordings 1 series first heard Jul 2017 last heard Jul 2017

Michael Segala’s voice in public audio — every appearance, attributed to the second.

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No, that's easy.
We prove value in a lot.
So I'll give you the short story.
Well, maybe it's not too short, but it's informative.
So when you look at data science in general,
across any vertical.
It doesn't matter.
You can pick a vertical.
The problems or the challenges, they don't like when you say problems, the challenges that we're solving are unanimous.
If you're looking at healthcare, cybersecurity, finance, they're all solving the identical challenge.
We are very capable of understanding how to solve these across all these
use cases or whatever, such that when somebody does push back and say, oh, I want somebody who's an expert in pharma because I'm a pharma company, it's easy to very quickly show them how you're an expert in all these other domains and how they are exactly the same problem as you have and prove out that value very quickly to them.
So it's just an education of saying, well, guys, you might think you're extremely unique, which you may be, but from a data science perspective, it's really not that big of a deal.
That's interesting.
So we're starting...
to get into these things called knowledge graphs, which I think is something that you're leaning towards where you have all of this vast amount of information and you want to, it's all structured, right?
It's coming from Twitters and your podcast and all sorts of news agencies, right?
And you're kind of synthesizing and understanding all of this information simultaneously and automatically to create these large scale knowledge structures.
So we actually do have some projects
currently going on we can't talk too much because they're in more of the the space that people don't like you talking about but yeah i mean that's that's precisely the types of things that you're doing building these large graphs of information and knowledge that will completely revolutionize all fields in a very you know in the next few years and the ability to create a reinforcing loop that makes your company worth a trillion dollars it ultimately comes to if everyone has access to you ultimately comes down to the data you're inputting into the system to teach it is that accurate or no it
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