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EP942: The business cases for large language models in trade finance

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Manage episode 524731168 series 3354889
Content provided by IBS Intelligence Podcasts | A Cedar Consulting Unit. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by IBS Intelligence Podcasts | A Cedar Consulting Unit or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Chandrasekhar Somasekhar, Chief Technology Officer, cleareye.ai

The business of trade finance is traditionally exhaustively documented but mix in a large language model (LLM) and that business can suddenly become much less of a challenge for those who must review the documentation. Chandrasekhar Somasekhar is CTO of cleareye.ai and also leads the firm’s Product Engineering team. He discusses the adoption and use cases of LLMs in trade finance with Robin Amlôt of IBS Intelligence.

  continue reading

943 episodes

Artwork
iconShare
 
Manage episode 524731168 series 3354889
Content provided by IBS Intelligence Podcasts | A Cedar Consulting Unit. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by IBS Intelligence Podcasts | A Cedar Consulting Unit or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Chandrasekhar Somasekhar, Chief Technology Officer, cleareye.ai

The business of trade finance is traditionally exhaustively documented but mix in a large language model (LLM) and that business can suddenly become much less of a challenge for those who must review the documentation. Chandrasekhar Somasekhar is CTO of cleareye.ai and also leads the firm’s Product Engineering team. He discusses the adoption and use cases of LLMs in trade finance with Robin Amlôt of IBS Intelligence.

  continue reading

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