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In this episode, Freeplay co-founder & CEO, Ian Cairns sits down with Jeff Seibert, co-founder & CEO of Digits to discuss the practical applications of AI in the finance world and the lessons learned from using AI in production.
You can read a full recap with show notes here.
Jeff emphasizes the importance of choosing the right type of AI model for each use case and highlights the limitations of generative AI models. He also shares examples of how AI has improved the product experience at Digits, including predictive models for AI bookkeeping, similarity models for transaction analysis, document extraction models for invoice processing, and autonomous agents for researching unknown transactions. We also dig into the challenges of closing the gap between AI accuracy and human expertise in accounting. Digits uses generative AI to help with transaction categorization and financial reporting.
Digits is focused on solving customer problems and uses AI as a powerful tool to deliver value. Give the episode a listen and share your feedback!
From the publisher's feed
Deployed is the podcast for people building AI products.
With all the hype about AI over the past two years, it’s often been hard to discern what’s actually working. We…
In each episode we’ll dig into the journey to create these products, the impact they’re making for customers and the bottom line, and what it takes to make generative AI products successful. Our hope is to add a bit of signal in all the noise, and help you stay ahead of the curve when it comes to strategies and tactics that actually work in production.
We’d love to hear from you, please reach out to us at [email protected].
You can also learn more about what we’re building at Freeplay here: freeplay.ai

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