WxAI: AI x Data Roundtable - Bridging the Gap Between AI and Data Analytics

WxAI: AI x Boardrooms – Inside the AI Board Governance Compass

This episode explores AI board governance featuring insights from industry experts on frameworks, case studies, and practical tools to help board members navigate AI responsibly. Join Reut Lazo and Jenny Kay Pollock in their conversation with Paula Fontana, Joanna Ridgway and Tamara Gracon. Topics * AI governance frameworks * Case studies in AI decision-making * The Private Governance AI Compass * Balancing innovation and risk in AI * Board-level AI oversight * AI is already shaping business decisions in ways that are often invisible, making governance critical. * The AI Board Governance Compass provides a practical, repeatable framework for assessing AI risks and opportunities. * Progress over perfection is a key principle—start with questions, not answers. * Boards need to be equipped to ask the right questions about AI, even with incomplete information. * Embedding AI oversight into regular board discussions is essential for responsible governance. * The AI Board Governance Compass: Navigating AI with Confidence * 5 Key Strategies for Effective AI Governance in the Boardroom Key Quotes: * "AI is already shaping our decisions in unseen ways." * "Boards need practical tools to navigate AI risks." * "Effective governance balances innovation and risk." Resources: * Full AI Board Governance Compass Framework [https://www.womenxai.com/ai-board-governance] * ⁠WOMEN x AI Website⁠ [https://www.womenexai.com/] * The Creative Act by Rick Rubin [https://www.amazon.com/Creative-Act-Way-Being/dp/0593652886] * Empire of AI by Karen Hao [https://www.amazon.com/dp/B0XYZ12345] * AI Daily Brief Podcast [https://aibrief.com/] Chapters 00:00 Introduction to AI and Boardroom Governance 01:20 Intros 05:42 Unveiling the AI Board Compass 11:26 Understanding the Framework's Quadrants 16:48 The Importance of Data in AI Governance 22:38 Case Studies: Practical Applications of the Framework 30:44 Good Governance in the Age of AI 35:38 Lightning Round: AI Tools and Resources 40:05 Key Takeaways for Board Members

WxAI: AI x Product Roundtable – Building Better Products Faster

How AI is reshaping product management from idea to launch? The panel digs into strategy, PRDs, research, prototyping, analytics, guardrails, and the human judgment that still holds it all together. “AI gives you what you give it. It can enhance your voice, but it cannot replace your thinking or your voice.” — Namisha Balagopal Guests Namisha Balagopal [https://www.linkedin.com/in/namishab/]— Product leader across HP, Twitch, Amazon, and digital health Mayan Shay May-Raz  [https://www.linkedin.com/in/mayan-shay-may-raz-280079163/overlay/about-this-profile/] — Principal Product Manager, Amazon Search, former AR and VR PM at Lenovo and Meta startup Dr. Nancy Li [https://www.linkedin.com/in/drnancyli/] — Founder, PM Accelerator, YouTube and LinkedIn Top Voice Jasmeen Bal [https://www.linkedin.com/in/jasmnkbal/] — Product leader in the EV charging industry, former automotive engineering Hosts Reut Lazo [https://www.linkedin.com/in/reutlazo/], Cofounder and Co-CEO, WOMEN x AI Jenny Kay Pollock [https://www.linkedin.com/in/jennykaypollock/], Cofounder and Co-CEO, WOMEN x AI What We Cover * How AI speeds strategy, PRDs, and stakeholder buy-in * Research at scale with interview synthesis and insight mapping * Prototyping and UI flows with AI design helpers * Data quality, cleansing, and why your inputs determine your outputs * Hallucinations, bias, and practical guardrails in production * The evolving PM role, specialization, and parallelized build cycles * Blending AI insight with human empathy and product taste Key Takeaways * AI is a force multiplier for PMs who stay in the loop and think critically. * Inputs matter. Define personas, context, and goals to get useful outputs. * Use AI to compress time, then spend the saved time on deeper questions. * Guardrails require humans. Validate facts, monitor outputs, and design for failure cases. * Clean data beats big data. Aggregate, de-dupe, and cleanse before you trust. * The PM toolkit is changing, but storytelling and empathy still win rooms. * Product orgs will specialize. Core feature PMs, growth PMs, and internal tooling PMs can move faster with AI. * Parallelize more. Strategy, research, prototype, and QA can run together with AI assistance. Tools Mentioned Dovetail — Customer interviews, synthesis, and insights Lovable — Prompt to clickable prototype for faster stakeholder alignment Claude — Reasoned writing, persona-aware drafting, and analysis Amplitude — Product analytics and auto-captured events for faster decisions Fathom — Meeting records, notes, and action items Also referenced: Miro AI, Figma, GitHub Copilot, Cursor, Google Vertex AI, RAG and multi-agent patterns Resources and Recs Storyworthy by Matthew Dicks, on storytelling that lands with stakeholders On Purpose with Jay Shetty — Madonna interview on resilience and belief Power and Prediction by Agrawal, Gans, and Goldfarb, on how AI shifts decision making Chapters 00:00 Intro and why AI in product matters now 01:09 Guest intros 05:06 How AI changes PM work and team velocity 08:44 First moments when AI changed their product practice 14:36 Strategy, speed, and decision making with AI 15:13 Research at scale and the Dovetail workflow 16:53 Blending AI insight with human intuition 20:21 Designing an AI-native product process end to end 23:29 Specialization and faster iterations across the lifecycle 24:40 Parallelizing strategy, prototyping, research, and QA 26:32 Risks and challenges, overreliance, and “vanilla” docs 28:01 Hallucinations and practical guardrails in production 33:39 Tool favorites of the week 37:40 Non-AI recommendations and why empathy still matters 41:02 How WOMEN x AI helps members grow 43:07 Closing and final quote Recorded for the WOMEN x AI community. Learn more and join at www.womenxai.com.

WxAI: AI x Go-to-Market Roundtable - Winning Markets with AI

In this episode of WOMEN x AI, marketing leaders discuss the integration of AI into go-to-market (GTM) strategies. Sharing insights on how AI serves as a powerful tool for content creation, self-improvement, and enhancing marketing efficiency. The conversation highlights the significant shifts in marketing practices due to AI, emphasizing the importance of understanding systems and leveraging automation to free up time for strategic initiatives. The experts also explore the democratization of marketing tools through AI, making them accessible to startups and smaller companies. Takeaways * AI is a powerful tool for go-to-market strategies. * Using AI as a collaborator enhances creativity. * Trust in AI outputs requires verification and refinement. * AI democratizes access to marketing tools for smaller companies. * Automation allows teams to focus on high-value strategies. * Understanding your systems is crucial for effective AI integration. * AI can synthesize information across various touch points. * Salesforce's agent force launch marked a significant shift in marketing. * AI helps marketers meet buyers where they are. * Self-improvement through AI can enhance communication skills. * AI Revolutionizing Go-to-Market Strategies Soundbites * "AI is a powerful tool for go-to-market." * "Trust but verify with AI outputs." * "AI helps us meet buyers where they're at." Chapters 00:00 Introduction to AI and Go-To-Market Strategies 01:38 Utilizing AI in Marketing: Insights from Experts 09:41 Shifts in Go-To-Market Strategies Due to AI 11:21 Realizations of AI's Impact on Product Launches 18:16 AI's Role in Enhancing Go-To-Market Efficiency 22:56 Streamlining Workflows for Effective Change Management 24:03 The Balance of Automation and Personalization 25:31 Building Trust Through Internal Testing 27:49 Proactive Market Shaping with AI 30:12 Accelerating Sales Cycles and Trust Building 34:55 The Human Element in AI Workflows 37:38 AI Tools and Recommendations for Success 39:57 Community Support and Learning in AI

WxAI: AI x Sales Roundtable - Driving Revenue in the Age of AI

In this episode we discuss the transformative impact of AI on sales processes and customer interactions. Special Guests: 1. Saumya Bhatnagar – CPO & Co-Founder of Involve.ai, building Jeeva, an agentic sales automation platform; recognized as one of the Top 100 Women in AI [https://www.100womeninai.com/] 2. Summer Poletti – Fractional CRO, Founder of Rise of Us [https://www.theriseofus.com/], and Host of the Revenue Remix podcast [https://open.spotify.com/show/05feU2u6fo844O3HUrylLz?si=fd1ad956da204ee7] 3. Amirah Raveneau-Bey – Founder of Grow, Scale, Develop [https://www.growscaledevelop.com/]; Fractional Advisor, Executive Coach, and Speaker with 25+ years in FinTech, real estate, and startups Host: Jenny Kay Pollock Cofounder & Co-CEO WxAI We explore how AI is reshaping the sales landscape, enhancing human connections, and automating time-consuming tasks. The conversation highlights the importance of integrating AI tools into sales strategies while maintaining a human touch and understanding customer journeys. The guests share insights on the future of sales, the role of automation, and the necessary guardrails for using AI responsibly Takeaways * AI is a competitive necessity in sales. * Human relationships remain fundamental in sales, even with AI. * AI helps sales reps prepare better for meetings. * Automation allows sales reps to focus on building connections. * AI can enhance the customer journey by providing insights. * Sales reps can leverage AI to ask better questions. * AI tools can help shorten the sales cycle. * Recording calls can provide valuable insights for sales reps. * AI should be used with caution due to potential inaccuracies. * Understanding customer journeys is crucial for effective sales. Resources & Mentions 🤖 AI Tools & Platforms * Fathom – AI-powered meeting notes and call summaries * Otter – Transcription and AI notetaking for calls and meetings * Granola – AI meeting assistant Jenny used during the recording * Riverside – Podcast recording platform with AI-generated show notes * Jeeva.ai [https://www.jeeva.ai/?utm_source=chatgpt.com] – Agentic sales automation platform co-founded by Saumya * Cast Magic – AI tool for turning call recordings into notes, emails, and follow-ups * Cloud Desktops MCP – Secure desktop solution for hosting custom GPTs (mentioned by Summer) * Andi – AI-powered search and workflows (Amirah referenced for sales templates) * Cursor – AI coding assistant with ChatGPT-5 integration 📚 Newsletters, Podcasts, & Learning Resources * WOMEN x AI (WxAI) Social Saturday – Weekly conversations and learning with the WxAI community * AI Daily Brief – Short daily podcast with the latest in AI * Superhuman Newsletter – AI and productivity insights * Women in AI LinkedIn [https://www.linkedin.com/company/women-in-ai?utm_source=chatgpt.com] – Updates and thought leadership from the global community * TLDR Newsletter – Daily tech and AI digest * Lenny’s Newsletter – Product and growth strategy insights * Journal.io [https://www.journal.io?utm_source=chatgpt.com] – App that turns AI research papers into audio summaries 🌟 Non-AI Recommendations * ⁠Summer Poletti's White Chili ⁠ [https://docs.google.com/document/d/106xGa4ySoSc6WREOQa4MFb-uQ94VM4qE8cmwvK5IlI8/edit?tab=t.0] – sSeasonal favorite (vegetarian, vegan, or with meat) (link TBD) * Libby App – Free audiobook app from your local library * Love is Blind (Netflix) – Reality TV show Chapters 00:00 Introduction to AI and Sales 04:03 The Importance of AI in Sales 09:47 AI's Impact on Sales Processes 16:33 Automation in Sales 23:16 Guardrails and Limitations of AI 29:56 Customer Journey and AI 34:28 Lightning Round and Community Engagement

WxAI: AI x Data Roundtable - Bridging the Gap Between AI and Data Analytics

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 [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