Deployed: The AI Product Podcast
Getting AI Accounting To Really Work In Production: A conversation with Digits co-founder & CEO, Jeff Seibert
Sep 12, 2024
Jeff Seibert, co-founder and CEO of Digits, dives into the transformative role of AI in finance. He discusses how choosing the right AI model is crucial for tackling real-world challenges, such as invoice processing and transaction categorization. Seibert highlights the synergy between AI and human expertise, revealing how customer feedback enhances machine learning. The conversation touches on the hurdles of implementing autonomous agents and the importance of refining AI tools to meet customer needs, while maintaining a focus on delivering tangible value.
40:20
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Quick takeaways
- Selecting the appropriate AI model for specific financial tasks is crucial to ensure accuracy and reliability in accounting applications.
- Continuous data feedback loops enable the refinement of AI models, allowing for improved accuracy and alignment with human expertise in complex tasks.
Deep dives
Addressing Model Limitations in AI
Generative AI models are often not reliable for tasks that require precision, especially in fields like finance. These models struggle with mathematical operations, leading the speaker's team to develop a distinct financial modeling engine for accurate computations. By employing prompting techniques to translate natural language queries into specific query languages, they ensure that financial queries are processed accurately in the backend. This method allows them to overcome the inherent probabilistic nature of AI and maintain a dependable product experience for users.
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