Deployed: The AI Product Podcast Getting AI Accounting To Really Work In Production: A conversation with Digits co-founder & CEO, Jeff Seibert
51 snips
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.
AI Snips
Chapters
Transcript
Episode notes
Problem-First Approach
- Focus on the customer problem, not just AI.
- Find the best solution, then decide how AI fits.
AI Limitations in Finance
- Generative AI models are bad at math, which is critical for finance.
- They also hallucinate and struggle with real-world edge cases.
Diverse AI Applications
- Digits uses various AI models, not just LLMs, for different tasks.
- Examples include predictive models for bookkeeping and similarity models for transaction analysis.