The Recommendation Engine for Commodity Traders — Anekha Sokhal, Moshi
Artikelbild eller återanvändbart omslag för Latent Space
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 · Anekha0:00 AI Engineer New York and “you are the team”0:54 Meet Anekha2:09 From mathematics to energy derivatives3:46 Fulbright and becoming a founder5:45 What Moshi does6:10 Market data9:03 Bloomberg and market workflows10:03 Bloomberg, Claude and Netflix12:03 From dashboards to workflows15:03 Trusted sources and signal17:13 Models and document extraction18:20 AI Engineer New York20:32 Customer meetings23:54 Hiring and customers25:55 swyx’s path into AI This is a public episode.
If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.latent.space/subscribe
Texten är källans egen beskrivning av publiceringen. Innehållet tillhör Latent Space.
Mer från Latent Space
Using Agents for Long-Horizon Financial Work — Aman Singh, Arca
Latent Space för 14 tim sedan
⚡ Building ChatGPT for Finance — Joseph Kim, OpenAI's Head of Financial Services
Latent Space 31 okt.
DeepSeek open sources Super-Agent as a research prototype, a proactive coding agent it says can monitor group chats for coding issues and suggest solutions
Techmeme för 1 tim sedan
Insurance software maker Guidewire agrees to acquire Hyperexponential, which makes AI-powered insurance underwriting and pricing software, for $1.7B in cash
Techmeme för 1 tim sedan