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Women And AI

Latest episodes

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Nov 5, 2024 • 46min

The Bio Design Revolution in AI with JoJo Platt

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
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Oct 29, 2024 • 1h 27min

⚡ Lightning Talks by Women Thriving in the AI Era ⚡

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
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Oct 8, 2024 • 35min

Retail Reinvented: AI's Impact on eCommerce with Jo Lambadjieva

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 AI is becoming essential for e-commerce success. Understanding customer data is crucial for brands. Generational differences affect AI adoption strategies. Brands should start using AI tools immediately. AI can enhance marketing processes significantly. Community support is vital for women in AI. AI can help create effective customer personas. Continuous learning about AI is necessary for brands. AI tools can streamline content creation for newsletters. 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
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Sep 24, 2024 • 29min

The Future of Hiring: A More Human-Centered Approach

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
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Sep 17, 2024 • 40min

Enhancing Self-Care and Productivity with AI with Yovana Rosales

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.
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Sep 10, 2024 • 47min

Solving the Inhumanity and Bias in Hiring with 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
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Sep 3, 2024 • 30min

AI Applications in the Finance Industry with Cindy Lin

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
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Aug 27, 2024 • 37min

Finding Better Leads and Saving Time with AI with Saumya Bhatnagar

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
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Aug 20, 2024 • 45min

AI Tools for Overcoming Business Challenges with Ashley Gross

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 AI education and cross-collaboration are essential for driving AI literacy and creating a diverse and inclusive space for learning. The Prompt Community offers AI tutorials and connects members with AI founders, providing a fun and inclusive learning environment. Building a business with AI requires addressing challenges such as poor business plans, lack of skills and knowledge, and product-market fit. AI tools like Crimson Hexagon, Butterfly AI, and Intercom can help businesses overcome these challenges and improve their operations. Understanding data privacy policies is crucial when using AI, and companies should prioritize transparency and user control over data. 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. Favorite AI tools mentioned: Jasper and Read AI. Focus on finding AI tools that align with your needs and solve real problems. 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
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Aug 12, 2024 • 54min

AI's Impact on Healthcare and Demystifying AI Terms with Neha Goel

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

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