Our Collection of the Leading Voices in Autonomous Learning Investment Strategies (ALIS)
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.
Website – http://www.mov37.com
Twitter – @mov37ai
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?