Welcome back listeners. Today we are dropping another special episode of the Code Story podcast.

As part of our series entitled Beyond Bots, the real impact of AI on financial services, brought to you by our friends at entropy.

As a reminder, entropy is the most accurate financial data standardization and enrichment API.

They can take in any data source, any geography,

and understand slash enrich a financial transaction in milliseconds. Made for developers for fast,

easy implementation. Check out their product at entropy.com. Well, today I have another special guest

on the Code Story podcast, Ilya Zenchenko,

CTO and co-founder of entropy.

Ilya, thank you for being on the show today.

Thanks for having you know.

Absolutely.

Really excited to chat more about entropy and language models.

But before we get into that, tell me in the audience a little more about

you. So, so yeah, I'm the co-founder and CTO Entropy, launched in market about two years ago,

initially from London, and now we're kind of, have something like three offices between

Portugal, London, and New York. At Entropy, we're kind of helping other fintechs and banks and new financial companies

to understand their customers better from their financial data, whether this is bank transactions

or accounting data, invoices, marketing data.

Obviously, probably most of my time I spend a fill in front of a screen,

either writing code or, you know, going through some spreadsheets and stuff like that, right?

Also, doing some coding on the side. I like to do rock climbing, we like to do chess.

So, Tenshp, we have this kind of chess tradition that we have this chess tournaments and the rest of the team.

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