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Understanding the AI Roadmap for Finance, Strategy, and Ops with Dr. Andre Retterath of Data-driven VC

Run the Numbers

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Exploring Potential Use Cases for AI in Finance

Potential use cases of AI in finance include fraud detection, dynamic pricing models, credit scores, and insider trading. These scenarios require collecting and researching data, especially historical data for pricing models. While pricing models can work well with traditional statistical approaches, AI like LLMs can provide additional context to adjust the models. In fraud detection, LLMs can be used to collect and process data to improve the classification of fraud. LLMs can enhance the confidence score of traditional fraud detection models.

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