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Back to The Recommendation Engine for Commodity Traders — Anekha Sokhal, Moshi, with Anekha Sokhal.

How Does an AI Recommendation Engine Help Commodity Traders?

Anekha Sokhal says Moshi's recommendation system is for a trader who is looking at one thing and still needs the second and third order derivatives they would not immediately know. She would not call the product a new Bloomberg. If Bloomberg, Claude, and Netflix had a baby, it would be Moshi, a different kind of software.

An oil trader is the example. An energy equities company can do something that would indirectly impact oil, and the trader needs to know that right now. A news stream does not show the link. A connected graph does, because the two pieces of information are coming out at the same time. A person can connect them, or a recommendation system can mimic that person.

She wished she had that system when she was trading.

Transcript

The Recommendation Engine for Commodity Traders — Anekha Sokhal, Moshi ·

Latent Space: The AI Engineer Podcast

More from this episode

  1. What Market Data Does Moshi Process for Traders?Anekha Sokhal says Moshi processes the kinds of market data a trader looks at to decide what trade to put on and how to manage the risk.
  2. How Should AI Fit Into a Commodity Trader's Workflow?Anekha Sokhal says getting someone new to take a tool into their workflow is not the same problem as building the tool.
  3. How Does Moshi's Confidence Score Work?Anekha Sokhal gives a confidence score when a claim is shown to someone: one person is saying one thing, and the score also covers everything else happening…
  4. Why Is Moshi Hosting Its First Webinar?Anekha Sokhal says Moshi is hosting its first webinar because inbound demand is too heavy to cover with one-to-one meetings alone.

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