WOMEN x AI

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 BalagopalGuestsNamisha Balagopal — Product leader across HP, Twitch, Amazon, and digital healthMayan Shay May-Raz  — Principal Product Manager, Amazon Search, former AR and VR PM at Lenovo and Meta startupDr. Nancy Li — Founder, PM Accelerator, YouTube and LinkedIn Top VoiceJasmeen Bal — Product leader in the EV charging industry, former automotive engineeringHostsReut Lazo, Cofounder and Co-CEO, WOMEN x AIJenny Kay Pollock, Cofounder and Co-CEO, WOMEN x AIWhat We CoverHow AI speeds strategy, PRDs, and stakeholder buy-inResearch at scale with interview synthesis and insight mappingPrototyping and UI flows with AI design helpersData quality, cleansing, and why your inputs determine your outputsHallucinations, bias, and practical guardrails in productionThe evolving PM role, specialization, and parallelized build cyclesBlending AI insight with human empathy and product tasteKey TakeawaysAI 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 MentionedDovetail — Customer interviews, synthesis, and insightsLovable — Prompt to clickable prototype for faster stakeholder alignmentClaude — Reasoned writing, persona-aware drafting, and analysisAmplitude — Product analytics and auto-captured events for faster decisionsFathom — Meeting records, notes, and action itemsAlso referenced: Miro AI, Figma, GitHub Copilot, Cursor, Google Vertex AI, RAG and multi-agent patternsResources and RecsStoryworthy by Matthew Dicks, on storytelling that lands with stakeholdersOn Purpose with Jay Shetty — Madonna interview on resilience and beliefPower and Prediction by Agrawal, Gans, and Goldfarb, on how AI shifts decision makingChapters00:00 Intro and why AI in product matters now01:09 Guest intros05:06 How AI changes PM work and team velocity08:44 First moments when AI changed their product practice14:36 Strategy, speed, and decision making with AI15:13 Research at scale and the Dovetail workflow16:53 Blending AI insight with human intuition20:21 Designing an AI-native product process end to end23:29 Specialization and faster iterations across the lifecycle24:40 Parallelizing strategy, prototyping, research, and QA26:32 Risks and challenges, overreliance, and “vanilla” docs28:01 Hallucinations and practical guardrails in production33:39 Tool favorites of the week37:40 Non-AI recommendations and why empathy still matters41:02 How WOMEN x AI helps members grow43:07 Closing and final quoteRecorded for the WOMEN x AI community. Learn more and join at www.womenxai.com.

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.TakeawaysAI 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 StrategiesSoundbites "AI is a powerful tool for go-to-market.""Trust but verify with AI outputs.""AI helps us meet buyers where they're at."Chapters00:00 Introduction to AI and Go-To-Market Strategies01:38 Utilizing AI in Marketing: Insights from Experts09:41 Shifts in Go-To-Market Strategies Due to AI11:21 Realizations of AI's Impact on Product Launches18:16 AI's Role in Enhancing Go-To-Market Efficiency22:56 Streamlining Workflows for Effective Change Management24:03 The Balance of Automation and Personalization25:31 Building Trust Through Internal Testing27:49 Proactive Market Shaping with AI30:12 Accelerating Sales Cycles and Trust Building34:55 The Human Element in AI Workflows37:38 AI Tools and Recommendations for Success39:57 Community Support and Learning in AI

In this episode we discuss the transformative impact of AI on sales processes and customer interactions. Special Guests:Saumya Bhatnagar – CPO & Co-Founder of Involve.ai, building Jeeva, an agentic sales automation platform; recognized as one of the Top 100 Women in AISummer Poletti – Fractional CRO, Founder of Rise of Us, and Host of the Revenue Remix podcastAmirah Raveneau-Bey – Founder of Grow, Scale, Develop; Fractional Advisor, Executive Coach, and Speaker with 25+ years in FinTech, real estate, and startupsHost: Jenny Kay Pollock Cofounder & Co-CEO WxAIWe 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 responsiblyTakeawaysAI 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 & PlatformsFathom – AI-powered meeting notes and call summariesOtter – Transcription and AI notetaking for calls and meetingsGranola – AI meeting assistant Jenny used during the recordingRiverside – Podcast recording platform with AI-generated show notesJeeva.ai – Agentic sales automation platform co-founded by SaumyaCast Magic – AI tool for turning call recordings into notes, emails, and follow-upsCloud 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 ResourcesWOMEN x AI (WxAI) Social Saturday – Weekly conversations and learning with the WxAI communityAI Daily Brief – Short daily podcast with the latest in AISuperhuman Newsletter – AI and productivity insightsWomen in AI LinkedIn – Updates and thought leadership from the global communityTLDR Newsletter – Daily tech and AI digestLenny’s Newsletter – Product and growth strategy insightsJournal.io – App that turns AI research papers into audio summaries🌟 Non-AI Recommendations⁠Summer Poletti's White Chili ⁠ – sSeasonal favorite (vegetarian, vegan, or with meat) (link TBD)Libby App – Free audiobook app from your local libraryLove is Blind (Netflix) – Reality TV showChapters00:00 Introduction to AI and Sales04:03 The Importance of AI in Sales09:47 AI's Impact on Sales Processes16:33 Automation in Sales23:16 Guardrails and Limitations of AI29:56 Customer Journey and AI34:28 Lightning Round and Community Engagement

This conversation explores the multifaceted world of data and AI, focusing on the importance of data analysis, ownership, and ethical considerations. Special Guests: Annie Xu - Works at Google Cloud, focusing on customers building LLM foundation modelsKasia Rachuta - Works at Block, within the identity verification space at SquareRachel Mak-McCully - Works at Unlearn, a startup in health AIHosts: 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.TakeawaysData 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 TechThe 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.comChapters00:00 Introduction to AI and Data03:08 The Importance of Data in AI05:30 Personal Journeys in Data and AI08:29 The Role of Data in Decision Making11:24 Ownership and Responsibility in Data13:55 Bias and Representation in Data16:41 Human Involvement in Data Processes19:33 Privacy vs. Progress in Data Collection22:05 Regulations and Their Impact on Data Practices25:58 The Impact of Proxies in AI and Regulation26:56 Legislation and Trust in Technology28:42 Women in Technology: Visibility and Representation31:41 Data Quality and Iterative Processes34:22 AI Tools: Community Recs36:32 Learning Resources for AI Enthusiasts38:52 Lightning Round42:15 Community Support43:44 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 & FundsPanelists 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.TakeawaysBuilding 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 Chapters00:00 Building an Inclusive Future in Digital Health06:44 Trends in AI and Innovation14:37 The Impact of the Pandemic on Healthcare18:05 Investment Trends in Healthcare and AI22:01 Understanding the VC and LP Dynamics29:50 Exploring Alternative Funding Options41:56 The Future of Innovation and Collaboration54:19 Audience Engagement and Insights56:31 Navigating Startup Challenges01:00:24 Understanding VC Relationships 01:03:28 Evaluating Market Potential01:06:48 The Role of Technical Expertise01:10:18 Funding Strategies in Biopharma01:14:35 Building a Unique Value Proposition01:17:07 Evolving Metrics for Startups01:20:38Preparing for Acquisition01:21:40 Finding the Right Advisors Connect with Us⁠WOMEN x AI LinkedIn ⁠⁠Reut Lazo LinkedIn ⁠⁠Jenny Kay Pollock LinkedIn ⁠⁠WOMEN x AI Instagram⁠⁠WOMEN x AI YouTube⁠⁠www.womenxai.com⁠