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

In this episode, Neha Goel, a Sr. AI engineer at Microsoft, founder of N23 Studio, and Chair of Women in AI Leadership Program at AI 2030, discusses her work in the field of AI and its impact on healthcare.

She explains the concepts of deep learning, machine learning, and neural networks, highlighting their interconnectedness. Neha also introduces the concept of Retrieval Augmented Generation (RAG) and its use in generating relevant information using large language models and external knowledge.

She shares her personal career journey, including battling gender bias in the tech industry.

Takeaways

• AI has a significant impact on the healthcare field, improving patient care, reducing administrative work for doctors, and enhancing customer support.
• Deep learning, machine learning, and neural networks are interconnected concepts in AI, with deep learning involving the use of neural networks to make machines learn.
• Retrieval Augmented Generation (RAG) combines large language models with external knowledge to generate relevant information and avoid hallucinations.
• Opportunities for AI exist in smaller use cases, such as content generation and productivity improvement.

• Start small and focus on specific use cases when exploring AI tools.

• N23 Studio provides a platform for individuals to share their AI learning journeys.
• The Women in AI community offers authentic connections and support for women in the field.
• The Impact of AI on Healthcare
• Overcoming Gender Bias: Neha Goel's Inspiring Career Journey The Importance of Real-World Application in Machine Learning
• Authentic Connections and Support: The Women in AI Community

Chapters

• 00:00 Introduction and Background
• 01:50 Neha Goel's Work at Microsoft
• 03:37 The Impact of AI in Healthcare06:34Exciting Emerging Trends in AI
• 09:43 Demystifying AI Terms: Deep Learning, Machine Learning, and Neural Networks
• 15:51 Understanding Retrieval Augmented Generation (RAG)
• 19:48 Overcoming Challenges: Neha Goel's Career Journey in Tech
• 26:57 From Coding to Founding: Neha's Journey
• 37:16 N23 Studio: A Place to Share Learning Journeys in AI
• 39:57 Assessing AI Risks and Opportunities
• 43:37 Making AI Accessible to Everyone

In this episode, Jenny and Reut interview Ayla Annac, co-founder and CEO of Innovo Sciences, about AI's impact on healthcare and specifically on drug discovery for heart issues.

Ayla shares her personal journey and mission to find safe and effective drugs for heart failure, inspired by the loss of her father to the disease. She discusses the work of Innovo Sciences in developing cardiac precision discovery technologies that integrate patient-derived micro heart models and AI-driven diagnostics.

Takeaways

• AI can play a crucial role in drug discovery for heart issues by integrating patient-derived micro heart models and AI-driven diagnostics.
• Diversity in clinical trials is essential to ensure the effectiveness and safety of drugs for different populations.
• AI has the potential to empower individuals in managing their health by providing personalized data and insights.
• Ethics and transparency are critical in AI development to ensure responsible and beneficial use of the technology.

• Empowering Individuals in Healthcare with AI
• AI's Impact on Drug Discovery for Heart Issues

Chapters

00:00 Introduction to Ayla Annac and Innovo Sciences

04:01 Ayla's Personal Motivation and Mission

07:51 Patient-Derived Models and Precision Medicine

09:23 Matching Drugs to Subpopulations for Effective Treatment

13:00 The Importance of Diversity in Clinical Trials

14:50 Empowering Vulnerable Populations with AI

16:38 Ethical Use of AI in Healthcare

18:24 Keeping Humans in the Loop with AI

18:54 Protecting Small Creators and Ensuring Fair Innovation

20:44 Ethics and Integrity in AI

25:49 Connecting and Uniting with AI31:25Influential Women in the AI Space

34:44 Collaboration in Precision Cardiac Medicine Development

36:24 How the Women in AI Community Can Help

Summary

In this episode, the hosts interview Lindsay Whitmer Collins, an expert in emerging AI trends and the founder of Welcome App Studio. They discuss Lindsay's journey as an entrepreneur, her work in AI. They also explore the importance of distributed AI and the potential for personal AI to connect directly without relying on big tech. The conversation explores the potential of distributed technology and the need for a new model of the internet that aligns incentives and promotes data sovereignty. Lindsey emphasizes the need for women to be active participants in AI.

Takeaways

• Lindsay Whitmer Collins founded Welcome App Studio and has been recognized for her work in applying AI to different business verticals.
• She is currently working on two projects: That Thing I Told You About, a social network for sharing personal product recommendations, and Professional, a project supporting women's health using AI.
• Distributed AI offers the potential for a more democratic and decentralized internet, allowing for direct connections without relying on big tech.
• Personal AI has the potential to connect individuals directly and securely, with data sovereignty and privacy as key considerations.
• The future of AI lies in creating applications that provide expertise quickly and efficiently, using AI to digest and deliver relevant information.
• There is a need for more diverse voices and perspectives in AI to ensure inclusivity and address the needs of different communities. The current model of the internet is not aligned with distributed technology and data sovereignty, and a new model is needed.
• Blockchain and cryptocurrencies can be used to create a more equitable and personalized internet experience.
• Consolidation of power in AI raises concerns about data ownership and security.
• Women need to be active participants in AI and stay informed about its development and use.

• The Future of Personal AI
• The Potential of Distributed AI The Importance of Women in AI

Chapters

00:00 Introduction

03:09 Lindsay's Journey as an Entrepreneur

07:50 Building That Thing I Told You About

11:58 Supporting Women's Health with AI

18:05 The Potential of Distributed AI

24:04 The Future of Personal AI

27:05 Creating Applications that Provide Expertise

30:51 The Importance of Diverse Voices in AI

29:24 The Potential of Blockchain and Cryptocurrencies in the Internet

33:17 Concerns of Consolidation of Power in AI

35:30 The Importance of Women in AI

Episode Summary

The conversation revolves around the panelists introducing themselves, discussing their career journeys in AI, and sharing their thoughts on the current state and future of AI.

They touch on topics such as the differentiation between hype and real AI, the challenges and concerns of AI proliferation, and the importance of ethics and transparency in AI development. The conversation explores the challenges and opportunities of AI in relation to data, bias, and gender representation. It emphasizes the importance of understanding and addressing biases in AI systems and the need for diverse and inclusive data sets.

The speakers discuss the potential of AI in healthcare, including drug discovery and improving access to care. They also highlight the need for more women in leadership roles in AI and VC funding. The conversation concludes with a call to action for increased participation, learning, and voicing perspectives in the AI field.

Takeaways

• The panelists have diverse backgrounds and experiences in AI, ranging from computer science to medicine to business.
• AI adoption has been increasing globally, but it's important to differentiate between hype and real AI solutions.
• The pace of AI development raises concerns about security, configuration, and the need for infrastructure and policy adjustments.
• Transparency and ethics are crucial in AI development to address biases, hallucinations, and ensure responsible use of AI.
• Data quality and volume are key factors in AI success, and biases in data need to be identified and addressed.
• AI has the potential to revolutionize various industries and improve human lives, but it requires careful consideration and human-centered design. AI systems are trained with noisy data, and it is important to understand and address biases in these systems.
• Diverse and inclusive data sets are crucial for developing unbiased AI systems.
• AI has the potential to revolutionize healthcare by improving drug discovery and increasing access to care.
• There is a need for more women in leadership roles in AI and VC funding.
• Increased participation, learning, and voicing perspectives are essential for progress in the AI field.

Chapters

• 00:00 Introductions and Backgrounds
• 06:41 Career Journeys and Inspiration
• 16:15 AI Adoption and Differentiating Hype
• 29:41 The Role of Humans in AI Development
• 32:15 Data Quality and Volume in AI
• 33:44 AI for Good and Addressing Diverse Populations
• 34:48 Continued Conversations and Collaboration
• 35:42 Addressing Bias and Diversity in AI Development
• 37:39 The Importance of Women in AI Leadership
• 38:35 Groundbreaking Opportunities for Women in AI
• 41:35 The Lack of Venture Funding for Women-Founded Startups
• 51:24 Evaluating AI Models and Metrics
• 57:11 Call to Action: Putting More Women in AI Leadership Roles

Resources

Meet Our Guests

Moderator: ⁠Pallavi Sharma⁠, Founder⁠ witOmni AI Marketing ⁠

Panelists:

• ⁠Dr. Sarah Benson-Konforty⁠,General Partner at ⁠1010VC⁠, Board member of ⁠The Alliance for Artificial Intelligence in Healthcare⁠

• ⁠Chetna Mahajan⁠, Chief Digital & Information Officer at ⁠Amplitude⁠

• ⁠Kim Carson⁠,CEO and Founder at⁠ Parallax Futures ⁠

• ⁠Janet George,⁠ Chief AI Digital Officer, ⁠Intel⁠