This conversation explores the multifaceted world of data and AI, focusing on the importance of data analysis, ownership, and ethical considerations.

Special Guests:

1. Annie Xu - Works at Google Cloud, focusing on customers building LLM foundation models
2. Kasia Rachuta - Works at Block, within the identity verification space at Square
3. Rachel Mak-McCully - Works at Unlearn, a startup in health AI

Hosts: Reut Lazo & Jenny Kay Pollock Cofounder & Co-CEOs WxAI

The speakers discuss their journeys into tech, the challenges of data collection, especially in healthcare, and the biases present in AI models. They emphasize the need for collaboration across various data roles and the significance of human feedback in AI development. The conversation also highlights the role of women in tech and the importance of community support in navigating these challenges.

Takeaways

• Data analysis is crucial for making informed decisions.
• Collaboration among data roles enhances the effectiveness of data usage.
• Healthcare data collection faces unique challenges due to fragmentation.
• Bias in AI models can stem from skewed training data.
• Human feedback is essential in refining AI models.
• Ethical considerations in data collection are increasingly important.
• Women are underrepresented in technical data roles.
• Community support can foster connections and opportunities in tech.
• Diversity in data committees can help address biases.
• Understanding data ownership is vital for ethical practices.

• Navigating the Data Landscape: Insights from Women in Tech
• The Power of Data: Ownership, Ethics, and

Resources

Weapons of Math Destruction - A book referenced by Rachel Mak-McCully.

Perplexity - An AI tool mentioned by Rachel Mak-McCully.

Notebook LLM - An AI tool mentioned by Annie Xu.

Goose - An AI tool mentioned by Kasia Rachuta.

Kaggle GenAI Challenge - Recommended by Kasia Rachuta for learning about GenAI.

Tiny Experiments by Anne-Laure Lecomf - A book recommended by Rachel Mak-McCully.

Maybe Happy Ending - A Broadway show recommended by Annie Xu.

Butter by Azako Yuzuki - A book recommended by Kasia Rachuta.

For more from our community check out www.womenxai.com

Chapters

00:00 Introduction to AI and Data

03:08 The Importance of Data in AI

05:30 Personal Journeys in Data and AI

08:29 The Role of Data in Decision Making

11:24 Ownership and Responsibility in Data

13:55 Bias and Representation in Data

16:41 Human Involvement in Data Processes

19:33 Privacy vs. Progress in Data Collection

22:05 Regulations and Their Impact on Data Practices

25:58 The Impact of Proxies in AI and Regulation

26:56 Legislation and Trust in Technology

28:42 Women in Technology: Visibility and Representation

31:41 Data Quality and Iterative Processes

34:22 AI Tools: Community Recs

36:32 Learning Resources for AI Enthusiasts

38:52 Lightning Round

42:15 Community Support

43:44 Community and Collaboration in AI Learning

This conversation explores the intersection of AI, innovation, and funding, particularly focusing on the role of women in tech and the importance of diverse teams.

​Speakers:

• ​Moderator: Holly Uber, Human Centered Technologist | Digital Health Leader | Investor & Advisor

• ​Preetha Ram, Managing Partner, INpact Fund and CTO, Pier 70 Ventures

• ​Sabira Alloo, Head of Private Equity Partnerships, North America, Google

• ​Mahak Sharma, Head of Platform Partnerships, Gemini

• ​Sheetal Inariani, General Partner & Chief Financial Officer, Global Health Impact Network & Funds

Panelists discuss trends in AI, the impact of AI on healthcare, and the dynamics of venture capital funding. They emphasize the need for responsible AI, the significance of community, and the value of cross-industry collaboration.

The discussion also covers alternative funding options, the importance of market research, and the role of intellectual property in startups.

Takeaways

• Building an inclusive future in AI requires changing the narrative on who gets funded.
• The AI hype cycle is maturing, moving towards rationalization and value assessment.
• AI in healthcare presents both opportunities and obligations for responsible innovation.
• Diverse teams lead to better outcomes in venture funding and innovation.
• Investors are looking for clear, measurable outcomes in AI startups.
• Understanding the dynamics of VC funding is crucial for founders.
• Alternative funding options exist beyond traditional VC, including grants and corporate accelerators.
• Community plays a vital role in supporting innovation and collaboration.
• Cross-industry collaboration can lead to groundbreaking innovations.
• Market research is essential to validate the problem being solved by a startup.

Sound Bites Chapters

00:00 Building an Inclusive Future in Digital Health

06:44 Trends in AI and Innovation

14:37 The Impact of the Pandemic on Healthcare

18:05 Investment Trends in Healthcare and AI

22:01 Understanding the VC and LP Dynamics

29:50 Exploring Alternative Funding Options

41:56 The Future of Innovation and Collaboration

54:19 Audience Engagement and Insights

56:31 Navigating Startup Challenges

01:00:24 Understanding VC Relationships

01:03:28 Evaluating Market Potential

01:06:48 The Role of Technical Expertise

01:10:18 Funding Strategies in Biopharma

01:14:35 Building a Unique Value Proposition

01:17:07 Evolving Metrics for Startups

01:20:38Preparing for Acquisition

01:21:40 Finding the Right Advisors

Connect with Us

• ⁠WOMEN x AI LinkedIn ⁠

• ⁠Reut Lazo LinkedIn ⁠

• ⁠Jenny Kay Pollock LinkedIn ⁠

• ⁠WOMEN x AI Instagram⁠

• ⁠WOMEN x AI YouTube⁠

• ⁠www.womenxai.com⁠

The WOMEN x AI global launch event brought together a diverse group of women leaders to discuss the impact of AI on society, leadership, and health.

Each speaker shared insights on how AI is transforming their respective fields, emphasizing the importance of collaboration, human-centered approaches, and the need for purposeful innovation.

The event highlighted the challenges and opportunities women face in the AI landscape, fostering a sense of community and support among participants.

Our Guests

🎤⁠⁠⁠⁠Summer Poletti⁠ ⁠- Founder and CEO of The Rise of Us

🎤⁠Dr. Joan Palmiter Bajorek⁠ - AI Expert and Author of Wiley Bestseller "Your AI Roadmap"

🎤⁠Tarja Stephens⁠ - Founder, AI Opportunity

🎤⁠Imen Maaroufi Clark⁠ - Founder and CEO, Prickly Pear Health

🎤⁠N Liberty White⁠ - Founder and CEO, She Learns AI

🎤⁠Alejandra Acosta⁠ - EdTech Strategist

🎤⁠Jessica Gold ⁠- Co-Founder & CCO, Digital Wisdom AI

Takeaways

• Women X AI aims to provide a platform for women in AI.
• AI is reshaping the future of work and leadership.
• Future-proofing careers and finances is essential in volatile times.
• Human qualities will be crucial in future leadership roles.
• Small actions can create significant impacts in communities.
• Collaboration among women in AI is vital for success.
• Purpose-driven products are necessary for effective AI solutions.
• Personalized AI can enhance relationships and communication.
• Transparency in AI tools builds trust and engagement.
• Community support is essential for navigating the AI landscape.

Chapters

00:00 Welcome and Introduction to Women X AI

01:12 The Role of AI in Society and Career Resilience

02:59 Transforming Leadership in the Age of AI

05:25 Human-Centered AI and Women's Health

08:03 Collaboration as the New Currency in AI

10:23 Building Community and Future Opportunities in AI

32:11 Collaboration and Community in AI

34:10 Lessons from EdTech for AI Development

42:33 Personal Transformation and Technology

52:34 Engagement and Future Events

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