Summary

In this episode of Women in AI, hosts Reut and Jenny welcome Dr. Joan Pomeler-Berger, a prominent figure in the AI space, to discuss her journey, the evolution of conversational AI, and the current job market dynamics influenced by AI technologies. Joan shares insights from her new book, 'Your AI Roadmap', emphasizing the importance of inspiration and actionable strategies for career growth. The conversation also touches on the risks and opportunities businesses face when integrating AI, future trends in data streaming, and the significance of community support for women in tech.

Resources

Meet our guest Dr. Joan Palmiter Bajorek

'Your AI Roadmap'

Takeaways

• Joan's podcast focuses on practical AI insights.
• Conversational AI has been evolving since the 80s.
• AI is not a guaranteed job security solution.
• Layoff anxiety affects many professionals today.
• Inspiration and actionable steps are crucial for career growth.
• Prototyping AI solutions is essential for businesses.
• Data streaming will enhance AI capabilities.
• AI tools can be fun and engaging to use.
• Many people are unaware of AI technologies.
• Community support is vital for women in AI.

Chapters

• 00:00 Introduction to Joan Pomeler-Berger
• 05:17 Understanding Conversational AI
• 11:27 Target Audience and Key Takeaways
• 17:09 Future Trends in AI
• 22:33 AI Tools and Recommendations
• 30:16 Community Support and Closing Thoughts
• 31:58 FINAL WAAI Outro Video .mp4

Episode Summary

In this episode of Women in AI, hosts Reut and Jenny Kay Pollock engage with JoJo Platt, President of Platt & Associates, to discuss the integration of AI in healthcare through the lens of bio design. JoJo shares insights on how entrepreneurship can be learned, the importance of understanding problems before proposing solutions, and the role of diverse voices in AI development. The conversation also touches on the emerging trends in neurotech, the significance of human oversight in AI applications, and the future of AI in society. JoJo emphasizes the need for inclusivity and transparency in AI, as well as the potential for AI to improve quality of care and democratize access to technology.

Resources

• Meet Our Guest: JoJo Platt
• Tulane AI & Healthcare Design Lab

Key Takeaways

• AI in healthcare can be enhanced through bio design principles.
• Understanding the problem is crucial before developing solutions.
• Diverse voices in AI development lead to better outcomes.
• AI should be viewed as a tool, not the end product.
• Human oversight is essential in AI applications.
• AI can help us fail faster and learn from mistakes.
• Inclusivity and transparency are vital in AI integration.
• Emerging trends in neurotech are exciting and promising.
• AI democratizes access to technology and education.
• Entrepreneurship in tech can be learned and nurtured.

Chapters

00:00 Introduction to Women in AI Podcast

03:01 Exploring the AI in Healthcare Design Lab

05:51 Tailoring Bio Design Principles to AI

08:41 Impact of Student Projects in AI and Healthcare

10:50 Emerging Trends in AI and Neurotech

12:34 Integrating AI in Healthcare Effectively

15:27 Ensuring Inclusivity and Safety in AI

17:45 The Role of Diversity in AI Development

19:28 Advice for Beginners in AI

22:12 Navigating Risks in Generative AI

24:19 The Future of AI: Possibilities and Concerns

27:17 Embracing Contrarian Thinking with AI

28:44 Personal Experiences with AI

32:11 AI in Professional Settings: Enhancing Quality

33:51 The Role of Corporations in AI Ethics

37:17 Women Leading in AI: Spotlight on Innovators

42:12 Building a Supportive Community in AI

45:49 FINAL WAAI Outro Video .mp4

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