In this episode, Jenny interviews Yovana Rosales, CEO and founder of AI Latina. They discuss the importance of self-care and how AI can be used to enhance productivity and efficiency. Jovana shares her experience in creating AI-powered meditations for self-compassion, natural beauty, and leadership. They also talk about the upcoming Hispanic Heritage Month and the need for allies to support and promote Latinx talent.

Yovana Rosales, founder of AI Latina, shares her journey from experiential marketing to AI education. She emphasizes the importance of diversity and inclusion in AI and the need for underrepresented communities to have a seat at the table. Yovana encourages patience and curiosity when learning about AI and highlights the role of community in supporting and uplifting each other. She also mentions the biases and discrimination within AI and the importance of including diverse voices in decision-making processes.

Takeaways

• AI can be used to enhance self-care and productivity

• Hispanic Heritage Month is an opportunity to celebrate and showcase Latinx talent

• Allies can support Latinx talent by promoting their work and creating opportunities

• Yovana and Ruby Garcia will be speaking about the inner warrior in women at an upcoming event
• Diversity and inclusion are crucial in the field of AI, and underrepresented communities need to have a seat at the table.

• Including diverse voices in decision-making processes is necessary to address biases and discrimination in AI.

Episode Summary

Barb Hyman, CEO and founder of Sapia.ai, discusses the inspiration behind creating an AI-driven recruitment solution. She emphasizes the importance of focusing on the problem and the customer rather than the technology itself. Barb highlights the inhumanity and bias in the hiring process that led her to develop Sapia.ai. She explains how the AI Smart Interviewer extracts features from language responses to assess candidates and ensure a positive and fair experience. Barb also discusses the risks and considerations in using AI and the need for transparency and trust in the AI industry.

Resources

Meet Our Guest

• Barb Hyman

• Sapia.ai

Connect with Women And AI

• Women And AI LinkedIn

• Women And AI Website

• Nominate a guest for our show
  

Takeaways

• Focus on the problem and the customer when developing AI solutions
• Address the inhumanity and bias in the hiring process with AI-driven solutions
• Ensure a positive and fair candidate experience with AI Smart Interviewer
• Consider the risks and challenges of using AI, including data privacy and security
• Transparency and trust are crucial in the AI industry

Chapters

00:00 Introduction and Background

01:06 Inspiration for Sapia.ai

05:54 AI Smart Interviewer

09:14 Ensuring a Positive and Fair Experience

12:30 Data Privacy and Security

17:42 Transparency and Trust in AI

20:48 Interview Questions and Assessments

21:18 Language Models and AI Tools

24:43 Impact of AI on Jobs and Skill Sets

26:57 The Future of Recruitment

32:49 Risks and Considerations in Using AI

38:03 Barb's Experience with AI

45:28 How the Women in AI Community Can Help

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