Nate Sauder – Millennials, Mountains, and Machine Learning– [ALIS in Dataland, Ep. 04]



MOV37’s Founder and Chairman, Jeffrey Tarrant, takes time to speak with MOV37 Advisory Board Member, Nate Sauder, in Geneva, Switzerland. Nate’s background and involvement in machine learning development/deployment along with his unique perspective as a millennial within a scientist collective is discussed in tandem with the evolution and future of machine learning and artificial intelligence in general.



Nate Sauder

https://www.linkedin.com/in/natesauder/



MOV37

Website – http://www.mov37.com

Twitter – @mov37ai



Show Notes:

2:31 – Nate Sauder Background



4:43 – Tell us a little on what you were doing after [attending] Oxford; what was next?



6:01 - What broad conclusions do you have from that [work] experience?



8:06 - NS: …look back at Private equity being this sort of vehicle for bringing machine learning in to the real world.

JT: And the private equity component that you’re talking about, it takes a long term to develop these things and develop a market, right?



9:17 – When we first met I remember asking you […] where do you live? […] you said I live in a scientists’ house, can you tell us about that?



12:28 - I saw the TOPOS [scientists’ house] logo […] so do you want to talk about that?



13:06 – Beyond Enlitic, then you went off and did something very entrepreneurial, you talked about your partner. Let’s talk a little bit about that and then go on and talk about the future of artificial intelligence and machine learning and where you see things going.



16:08 – What’s next? [For NS and world of machine learning]



18:04 – Any final comments?