WxAI: AI x Data Roundtable - Bridging the Gap Between AI and Data Analytics
AUG 22, 202544 MIN
WxAI: AI x Data Roundtable - Bridging the Gap Between AI and Data Analytics
AUG 22, 202544 MIN
Description
<p>This conversation explores the multifaceted world of data and AI, focusing on the importance of data analysis, ownership, and ethical considerations. </p><p><strong>Special Guests: </strong></p><ol><li>Annie Xu - Works at Google Cloud, focusing on customers building LLM foundation models</li><li>Kasia Rachuta - Works at Block, within the identity verification space at Square</li><li>Rachel Mak-McCully - Works at Unlearn, a startup in health AI</li></ol><p><br></p><p><strong>Hosts</strong>: Reut Lazo & Jenny Kay Pollock Cofounder & Co-CEOs WxAI </p><p><br></p><p>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.</p><p><br></p><p><strong>Takeaways</strong></p><ul><li>Data analysis is crucial for making informed decisions.</li><li>Collaboration among data roles enhances the effectiveness of data usage.</li><li>Healthcare data collection faces unique challenges due to fragmentation.</li><li>Bias in AI models can stem from skewed training data.</li><li>Human feedback is essential in refining AI models.</li><li>Ethical considerations in data collection are increasingly important.</li><li>Women are underrepresented in technical data roles.</li><li>Community support can foster connections and opportunities in tech.</li><li>Diversity in data committees can help address biases.</li><li>Understanding data ownership is vital for ethical practices.</li></ul><ul><li>Navigating the Data Landscape: Insights from Women in Tech</li><li>The Power of Data: Ownership, Ethics, and </li></ul><p><br></p><p><strong>Resources </strong></p><p>Weapons of Math Destruction - A book referenced by Rachel Mak-McCully.</p><p>Perplexity - An AI tool mentioned by Rachel Mak-McCully.</p><p>Notebook LLM - An AI tool mentioned by Annie Xu.</p><p>Goose - An AI tool mentioned by Kasia Rachuta.</p><p>Kaggle GenAI Challenge - Recommended by Kasia Rachuta for learning about GenAI.</p><p>Tiny Experiments by Anne-Laure Lecomf - A book recommended by Rachel Mak-McCully.</p><p>Maybe Happy Ending - A Broadway show recommended by Annie Xu.</p><p>Butter by Azako Yuzuki - A book recommended by Kasia Rachuta.</p><p><br></p><p>For more from our community check out <a href="www.womenxai.com " target="_blank" rel="noopener noreferer">www.womenxai.com</a></p><p><br></p><p><strong>Chapters</strong></p><p>00:00 Introduction to AI and Data</p><p>03:08 The Importance of Data in AI</p><p>05:30 Personal Journeys in Data and AI</p><p>08:29 The Role of Data in Decision Making</p><p>11:24 Ownership and Responsibility in Data</p><p>13:55 Bias and Representation in Data</p><p>16:41 Human Involvement in Data Processes</p><p>19:33 Privacy vs. Progress in Data Collection</p><p>22:05 Regulations and Their Impact on Data Practices</p><p>25:58 The Impact of Proxies in AI and Regulation</p><p>26:56 Legislation and Trust in Technology</p><p>28:42 Women in Technology: Visibility and Representation</p><p>31:41 Data Quality and Iterative Processes</p><p>34:22 AI Tools: Community Recs</p><p>36:32 Learning Resources for AI Enthusiasts</p><p>38:52 Lightning Round</p><p>42:15 Community Support</p><p>43:44 Community and Collaboration in AI Learning </p>
