Episode Summary

The conversation explores the transformative impact of AI across various sectors, emphasizing its role in youth mental health, the rise of autonomous AI agents, and the importance of building trust in AI systems. Speakers share insights on how AI can enhance human capabilities, the need for responsible development, and the future of AI in collaboration with humans.

Join our speakers and moderator:

🔸 Greta McAnany (CEO, Blue Fever)

🔸 Saritha Prasad Vrittamani (Microsoft)

🔸 Somya Kapoor (TheLoops)

🔸 Neelu Shaikh (Human First AI)

🔸 Shelby Heinecke, PhD (Salesforce)

🔸 Anna Yuan (ScaleGrowth AI)

🔸 Yasmina Benkhoui (NVIDIA)

🔸Holly Uber (Venture Capital and Limited Partner)

Takeaways

• Community building is essential for learning and growth.
• AI can enrich youth mental health support.
• Autonomous AI agents are transforming industries.
• Trust and safety are critical in AI applications.
• AI should augment human capabilities, not replace them.
• Understanding user needs is vital for effective AI solutions.
• AI can help in drug discovery and healthcare.
• Diverse teams are necessary for ethical AI development.
• AI can optimize operational efficiency in businesses.
• Continuous learning and adaptation are key in AI development.

Chapters

• 00:00 Introduction and Setting the Stage
• 02:30 Greta's Journey in AI and Mental Health
• 13:41 Sreeja on Autonomous AI Agents
• 23:39 Somia on AI's Impact on Work and Society
• 36:40 Neelu on Ethics and the Future of AI
• 45:13 Navigating AI Regulations and Corporate Responsibility
• 51:41 The Rise of Small Language Models (SLMs)
• 01:01:39 Building Multi-Agent AI for Customer Success
• 01:15:17 Innovations in Conversational AI and Digital Avatars

In this episode of Women and AI, hosts Jenny Kay Pollock and Lana A Dubinskiy chat with Jo Lambadjieva, an expert in e-commerce and AI integration. They discuss the transformative impact of AI on e-commerce, the importance of adapting marketing strategies to generational differences, and the necessity for brands to embrace AI tools. Jo shares her journey into AI, the role of AI in her newsletter, and highlights inspiring women in the AI community.

Resources:

Meet Our Guest:

• ⁠Jo on LinkedIn⁠

• ⁠Amazing Wave Website⁠

AI Tools & Resources:

• ⁠Jo’s Ecommerce AI Newsletter: ⁠

• Claude

• ChatGPT

• Perplexity

• Poe

Who to Follow:

• ⁠Heather Murray⁠

• ⁠Audrey Chia⁠

• ⁠Tara Thompson⁠

Connect with Women And AI

• Follow ⁠Women And AI on LinkedIn⁠

• Visit ⁠Women And AI Website ⁠

Takeaways

1. AI is becoming essential for e-commerce success.

2. Understanding customer data is crucial for brands.

3. Generational differences affect AI adoption strategies.

4. Brands should start using AI tools immediately.

5. AI can enhance marketing processes significantly.

6. Community support is vital for women in AI.

7. AI can help create effective customer personas.

8. Continuous learning about AI is necessary for brands.

9. AI tools can streamline content creation for newsletters.

10. Women in AI should uplift and support each other.

Chapters

• 01:44 - E-commerce and AI Integration

• 06:35 - The Future of AI in E-commerce

• 11:32 - Generational Differences in AI Adoption

• 15:15 - Getting Started with AI for Brands

• 20:03 - The Role of AI in Newsletters

• 24:57 - Jo's AI Origin Story

• 28:31 - Women Inspiring Women in AI

• 32:29 - Closing Thoughts and Community Support

  
  

Episode Summary

In this episode, Melinda Coler, the founder and CEO of Conversa AI, discusses the future of hiring and how AI can be used to create a more human-centered hiring process. Conversa helps hiring teams identify the best candidate for the job by going beyond resumes and giving candidates a chance to share more. They use AI to have conversations with candidates and extract the best information to present to hiring managers. Melinda emphasizes the importance of using AI to mitigate bias in the hiring process and suggests that companies should educate candidates on how their hiring process works to reduce bias. She also highlights the need for candidates to apply even if they don't meet all the qualifications listed in a job description and encourages recruiters to ask candidates about how they measure success to identify relevant metrics. Melinda believes that AI will continue to play a role in hiring and job search, helping companies identify the best fit for any given job and making the process more efficient and equal for both sides.

Resources

Meet Our Guest

• Malinda Coler

• Conversa AI

Connect with Women And AI

• Women And AI LinkedIn

• Women And AI Website

• Nominate a guest for our show

Key Takeaways

• AI can be used to create a more human-centered hiring process by going beyond resumes and giving candidates a chance to share more.

• Companies should use AI to mitigate bias in the hiring process and educate candidates on how their hiring process works to reduce bias.

• Candidates should apply even if they don't meet all the qualifications listed in a job description, as they may have relevant experiences that they haven't identified.

• Recruiters should ask candidates about how they measure success to identify relevant metrics and assess their suitability for a job.

• AI will continue to play a role in hiring and job search, helping companies identify the best fit for any given job and making the process more efficient and equal for both sides.

Chapters

• 00:00 Introduction and Overview
• 01:03 Conversa: A Human-Centered Hiring Solution
• 02:01 Using AI to Enhance the Hiring Process
• 03:28 The Future of Hiring with AI
• 04:26 Reducing Bias in Hiring
• 05:25 Mitigating Bias with Conversa
• 07:25 Assessing AI Solutions for Bias Mitigation
• 08:24 Educating Candidates to Reduce Bias
• 09:22 Giving Candidates More Transparency
• 10:48 Applying for Jobs: Going Beyond Qualifications
• 11:47 Identifying Relevant Metrics for Success
• 13:12 Balancing Bias Mitigation and Result-Oriented Assessment
• 15:58 Mitigating Risks and Testing AI Solutions
• 18:22 The Role of AI in the Future of Hiring
• 20:40 The Power of AI in Streamlining Hiring Processes
• 23:24 Personal and Professional Use of AI
• 25:28 Recommendation: Pratika Mehta
• 28:10 How Listeners Can Help Convers

• 
  

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

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