Cindy Lin, a senior director and data scientist at Bundles Investing, discusses the application of AI in the finance industry. She highlights the use of machine learning in algorithmic trading and natural language processing for equity research. Cindy also explores the challenges of integrating AI into existing financial systems and the importance of understanding the audience and infrastructure.

Key Takeaways

• AI has made a significant impact in the finance industry, particularly in algorithmic trading and natural language processing for equity research.
• Integrating AI into existing financial systems requires understanding the audience, infrastructure, and regulatory compliance.
• Common misconceptions about AI in finance include the belief that it guarantees high profits and the perception that implementation is difficult.
• Risks in AI finance include data quality issues, model bias, and regulatory compliance challenges.
• AI tools like Chai GPT and coding platforms have improved efficiency and accuracy in financial tasks.
• Collaboration and ideation events can help women in AI share resources and receive feedback on their ideas.

Chapters

• 00:00 Introduction and Guest Introduction
• 02:42 The Impact of AI in Institutional Investing
• 05:06 Integrating AI into Financial Systems: Considerations and Challenges
• 07:59 Demystifying AI in Finance: Common Misconceptions
• 13:17 Ensuring Data Quality and Managing Model Risk in Finance
• 17:57 The Next Breakthroughs in AI for the Financial Sector
• 21:24 Staying Current with AI Trends: Recommended Resources
• 24:27 AI Tools for Finance: From Proofreading to Code Generation
• 28:12 Inspiration in the AI Community: Joyce Li
• 29:14 Collaboration and Feedback: Mini Shark Tank Events for Female Funders

In this conversation, Jenny and Lana interview Saumya Putnagar, the CPO and co-founder of Involve.ai, an AI-driven early warning dashboard that helps companies predict churn and revenue growth opportunities using customer data. Saumya shares insights on how AI can help businesses find better leads, save time, and automate tedious tasks. She emphasizes the importance of responsible AI and offers advice for women looking to level up their AI careers. Saumya also discusses her own AI journey and recommends AI products like GitHub Copilot, Uizard, and Grammarly. She encourages listeners to start with simple AI tools and learn the art of prompting.

Takeaways

• AI can help businesses find better leads and save time by automating tedious tasks.
• Responsible AI is crucial, and users should be mindful of privacy and potential risks.
• Women looking to level up their AI careers should trust their intuition and believe in themselves.
• Starting with simple AI tools and learning the art of prompting can be a great way to get started.
• Recommended AI products include GitHub Copilot, Uizard, and Grammarly.

Chapters

00:00 Introduction and Guest Introduction

01:52 Using AI to Find Better Leads and Automate Manual Tasks

05:30 The Risks and Considerations of Using AI

07:54 Advice for Women in AI: Trust Your Intuition

10:40 The Future of AI: Incremental Innovation and Multi-Modal Applications

24:30 The Importance of Responsible AI

26:36 First Experiences with AI and the Potential of Generative AI

28:30 Top AI Product Recommendations

30:25 Women in AI and Valuable Resources

32:06 Starting with Simple AI Tools and Learning the Art of Prompting

34:16 Supporting and Connecting with Women in AI

35:41 Living in Different Cities and Startup Challenges

In this episode, Ashley Gross, the founder and CEO of the Prompt Community, discusses the transformative impact of generative AI and the need for AI education and cross-collaboration.

Ashley also shares insights about the Prompt Community, which offers AI tutorials and connects members with AI founders. She talks about the first cohort of her course on building a business with AI and the benefits of community collaboration.

AI Tools:

• Crimson Hexagon
• Butterfly AI
• Intercom
• Fireflies AI

Takeaways

1. 
   
2. AI education and cross-collaboration are essential for driving AI literacy and creating a diverse and inclusive space for learning.
3. The Prompt Community offers AI tutorials and connects members with AI founders, providing a fun and inclusive learning environment.
4. Building a business with AI requires addressing challenges such as poor business plans, lack of skills and knowledge, and product-market fit.
5. AI tools like Crimson Hexagon, Butterfly AI, and Intercom can help businesses overcome these challenges and improve their operations.
6. Understanding data privacy policies is crucial when using AI, and companies should prioritize transparency and user control over data.
7. While AI may experience a boom and subsequent fatigue, the technology will continue to advance and decentralize data. Start with a problem and use AI as a tool to solve it.
8. Favorite AI tools mentioned: Jasper and Read AI.
9. Focus on finding AI tools that align with your needs and solve real problems.
10. Support Ashley Gross in her goal to make it on the Forbes 30 under 30 list.

Chapters

• 00:00 Introduction and Overview of the Prompt Community
• 02:54 Highlighting AI Founders in the Prompt Community
• 04:39 Building a Business with AI: First Cohort and Cross-Pollination
• 07:48 The Importance of Community Building and Verticals Seeing Changes
• 08:47 Challenges of Building a Business with AI and Recommended Tools
• 12:13 Understanding the Risks of Using AI and Data Privacy
• 19:52 The Future of AI: Predictions and Decentralizing Data
• 23:38 The Journey of AI: From Hype to Practicality
• 25:24 Ashley's First Experience with AI
• 27:46 Using AI in Personal and Professional Life
• 29:51 The Time-Saving Benefits of AI Tools
• 32:21 Getting Started with AI: Start with a Problem
• 34:52 Using AI to Improve Networking Skills
• 38:42 Supporting Up-and-Coming Women in AI
• 43:00 Asking for Help and Support