DigFin teamed up with Guillaume Huet to explore how ChatGPT can help fintechs with business ideas.
Guillaume Huet is an A.I. and data specialist and consultant.
We asked ChatGPT to recommend the optimal business model if we were to launch a fintech startup today, with the goal of reaching $100 million in annual revenues within five years.
Huet used his prompt process to get a deeper, more insightful response. Along the way we learned more about how language-learning models work, and discussed many of the ideas that it presented us.
- Timecodes:
- 0:00 – Guillaume Huet and our project
- 2:09 – Using language-learning models and external data
- 3:36 – Guillaume’s solution to apply GPT to our goal
- 6:34 – Creating personas within GPT to interrogate our model
- 9:20 – Promising if mixed results, and what to expect
- 11:48 – Some of the fintech themes that GPT raised
- 13:03 – What to make of answers that surprise
- 14:44 – GPT’s ideas about revenue models, like automating investment banking
- 16:42 – GPT’s suggestions for using emerging technologies, eg quantum computing
- 19:23 – Jame’s persona within the GPT asks some bizarre questions
- 22:08 – GPT’s thought process behind persistent themes, eg open banking
- 24:42 – Predictive failure analysis and other new ideas
- 27:57 – AR/VR in capital markets and other glimpses of the future
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- Source: https://www.digfingroup.com/chatgpt-guillaume-huet/
