How Finance Can Use Python Code to Automate (with ZERO Dev Skill) - Nicolas Boucher (Pt. 2) | Ep.047

Tech for Finance

More goodies at www.techforfinance.com | Join us on this enlightening journey through the landscape of Python automation, AI models, and the power of a logical mindset in coding. In this installment, Nicolas recounts an eye-opening personal experience where my logical approach, not deep coding expertise, led to a successful automation feat. Together with Nicolas, a returning favorite, we navigate the intricacies of applying specialized AI like Petal and Humata to tasks like digesting lengthy documents, overcoming the memory constraints that often hamper chatbots. We even explore the inventive integration of technology into daily life, such as utilising AI transcription tools like OpenAI's Whisper to enhance productivity during travel.

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Listen in as we share the valuable lessons learned from pushing AI transcription services to their limits. My recent endeavors to dictate notes while driving revealed the current boundaries of AI's ability to parse complex data and the significance of adapting our methods to its capabilities. The conversation takes a turn towards the future, discussing the exciting possibilities that lie ahead with advancements in AI like GPT-4 and the need for specialised bots. Nicolas and I ponder the potential of a marketplace for pre-trained models, sharing insights on how we are creating directories for finance-focused GPTs and the transformative effects of AI tools in organising our workflow.

Wrapping up this episode, we delve into the promising role of AI copilots in finance. From a task journaling exercise that can uncover efficiencies to 'lunch and learn' sessions that foster collaborative learning, we explore the many ways AI can streamline finance professionals' day-to-day activities. With Nicolas' invaluable perspective, we reflect on the challenges of staying updated in the fast-paced worlds of finance and tech, and the importance of accessible content. Our conversation ends on a high note, with mutual anticipation for the innovative discussions that lie ahead, always aiming to demystify the complexities of tech for our audience.

------- SHOW NOTES ------

- Where to find Nicolas - https://www.linkedin.com/in/bouchernicolas/

- Sponsor: AI Finance Club - https://www.techforfinance.com/ai

------- CHAPTERS --------

(00:00) Python Code, AI Models, and Automation

(03:24) Efficient Workflow and Task Allocation

(07:40) GPT-4 and Specialized Bots

(15:44) Image Generation and AI in Finance

(32:10) AI Copilot Potential in Finance

(39:39) Appreciation for Finance and Tech Updates

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