Practical AI Data science for intuitive user experiences
Apr 20, 2021
Nhung Ho, Director of Data Science at Intuit, offers insights from her transition from astrophysics to data science. She discusses how data science is crucial for understanding financial operations and predicting market trends, especially post-COVID. Nhung emphasizes the importance of addressing unarticulated customer needs to drive innovation and improve user experiences. The conversation highlights the challenges in adapting AI in finance, the need for adaptable forecasting models, and the significance of seamless customer interactions in today's market.
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Joining Intuit
- Nhung Ho was motivated to join Intuit due to a negative experience with Mint.
- She expressed a desire to improve the product during her interview, which Intuit welcomed.
Customer-Centric Approach
- Intuit uses "Design for Delight" and customer interviews to understand customer needs.
- They build MVPs with real customer data for richer feedback and better solutions.
Cash Flow Innovation
- Initial cash flow tools focused on basic metrics.
- Customer interviews revealed a need for more granular data, like invoice payment prediction, which Intuit then developed.