Ditch Excel, Embrace AI: Why Python is the Future for Finance Pros - Stephanie Mertz | Ep.063

Feb 28, 2024

Stephanie Mertz, Co-founder and CTO of Eisen, discusses leveraging AI tools, moving beyond Excel in finance, automation platforms, prompt engineering in AI, and the future of generative AI. She emphasizes the importance of foundational knowledge and building resilient systems to level up technical skills.

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Introduction

00:00 • 3min

Exploring Prompt Writing and AI Tools in Finance

02:43 • 21min

Evolution of Coding Education and Implementing Machine Learning in Feedback Analysis

23:45 • 5min

AI Evolution in Learning and Prompt Writing

28:58 • 12min

Balancing Engineering Solutions and Automation Platforms

40:35 • 17min

Financial Institution Account Management with a Tech Solution

57:55 • 3min

Discussing the Benefits of a Bright Lamp and Using Loom for Productivity

01:00:31 • 4min

In this episode of Tech for Finance, we interview Stephanie Mertz, co-founder and CTO of Eisen, an innovative fintech platform aiming to transform dormant account management. With deep expertise in computer science and financial technology, Stephanie shares her perspectives on leveraging AI tools to solve problems, building resilient systems, the requirement for foundational knowledge, and more. Tune in to hear Stephanie's thoughts on moving beyond traditional finance tools like Excel, considerations around automation platforms, prompt engineering in AI, and the future of generative AI. Whether you're a seasoned finance pro or just starting out, you'll come away with fresh ideas to level up your technical skills. ------ SHOW NOTES ------ - Connect with Steph on LinkedIn - https://www.linkedin.com/in/stephmertz/ - Check out Eisen - https://www.witheisen.com/ ------ CHAPTERS ------ Here is a summary of the key chapters in the transcript: (00:00:00) - Introduction to Stephanie and Aizen (00:01:41) - Stephanie's background and experience (00:03:30) - Stephanie's approach to solving problems (00:05:37) - Starting the development process (00:08:29) - Using AI tools versus Excel (00:10:40) - Criticality levels for automation (00:12:00) - Understanding code from AI assistants (00:16:07) - Backup plans for critical systems (00:20:23) - Version control and documentation (00:26:29) - Case study on using ML for sentiment analysis (00:29:07) - The need for foundational knowledge (00:31:35) - Training machine learning models (00:35:09) - Security risks from deepfakes (00:38:15) - Using Python for analytics (00:40:00) - Levels of automation tools (00:42:17) - Engineering principles for critical systems (00:49:46) - Advice on starting coding projects (00:52:31) - The future of prompt engineering (00:54:01) - One-shot vs. two-shot prompting (00:58:27) - Explaining dormant accounts and Eisen (01:00:14) - Favorite productivity tools For more goodies, check out www.techforfinance.com