The Recommendation Engine for Commodity Traders — Anekha Sokhal, Moshi
Latent Space: The AI Engineer Podcast

The Recommendation Engine for Commodity Traders — Anekha Sokhal, Moshi

B2Upper-intermediateOctober 22, 202626 min
  • Interview

Anekha Sokhal, CEO of Moshi, joins swyx to discuss building a recommendation engine for commodity traders, turning market data into useful signals, and designing AI that fits users’ workflows. Watch: YouTube · Moshi · Anekha 0:00 AI Engineer New York and “you are the team” 0:54 Meet Anekha 2:09 From mathematics to energy derivatives 3:46 Fulbright and becoming a founder 5:45 What Moshi does 6:10 Market data 9:03 Bloomberg and market workflows 10:03 Bloomberg, Claude and Netflix 12:03 From dashboards to workflows 15:03 Trusted sources and signal 17:13 Models a...

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We've now got meetings on Thursday, extended another day, Friday, extended it another day, Monday.

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0:00

So I've actually extended my stay in New York because we've like now, I was meant to leave today. We've now got meetings on Thursday, extended another day, Friday, extended it another day, Monday. And then I've got now meetings where people are like, Hey, we're in energy. Let's talk in Houston.

0:16

So we've like filled up a week after the conference of meeting. And AI engineers was an interesting one because a lot of them are feeling like overwhelmed with the pressure from management. To do it.

0:30

because people now say, we don't need a team, you are the team. And so it's like, hey, I need to now build this whole system myself, but that system would be typically done by 10 people.

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