Mahesh's AI PM Community

We're Back with another insightful Community Session on Maven, where I'll be talking about "Multi-Agent Frameworks for Product Managers" Catch me on 📅 21st December | 🕗 8 AM PST Reserve your Free spot here: https://lnkd.in/g-y_sqb4 & Learn how to strategically leverage multi-agent systems to build the next generation of AI products. Perfect for PMs looking to stay ahead in the GenAI landscape! #aiml #ai #ml #product #innovation #productmanagement #artificialintelligence #genai

Hey everyone, Don't forget to join me live tomorrow for Lightning/Community Session #38 where we'll dive into an exciting and insightful topic: "Build & Evaluate Products with Multi-Agent AI" Looking forward to seeing you there! 🗓️ Date & Time: 21st Dec, 8 AM PST Register for Free at: https://lnkd.in/gWygy4uu

A phenomenal end to our November cohort! We pushed ourselves to go even further this time. Instead of working on straightforward projects, we tackled real AI agent solutions and worked on three main challenges that AI agents face to give real RoI. 1. An agent that, given a specific job, can fine-tune your résumé and submit applications on your behalf. [Challenge: integrations] 2. An agent that helps you find potential clients and sends them personalized emails. [Challenge : getting data and sharing AI chain of thought] 3. An agent that relies on small language models to evaluate your financial situation, recommend cost-cutting measures, and accelerate your path to financial independence. [Challenge: Privacy challenges needed on device AI] We were amazed as how participants turned these ideas into real-world AI product prototypes, showcasing creativity, collaboration, and an unstoppable drive. What’s even more exciting? They’re now building and in few weeks sharing these agents with world. This is possible as we do not leave our cohort members after 6 weeks but help them till they achieve goals by making them part of our AI community. 📣 February Cohort is officially open & 3 Days left for the last few seats with early bird offer! For 2025, We'll ensure you build your AI Product Management career using AI agents latest frameworks, portfolio-ready projects, real learning on what works and what does not. Use code "DEC250" to grab $250 off—early bird discount valid until December 20th. 👉 Secure your spot now: https://lnkd.in/g6jNUiM5 & Congratulations Cohort-3 Batch, Thanks for being a part of this journey, which has just started Charu Agarwal Aashish Bapat Akhil Thavarayil Angshumala Goswami Hima Tk Jahnavi Patel Jenny Hou Keyuri Anand Medhaavi Parashar Meghana Krishnan Mukund Pavithra Gopisetty Rajesh Manivannan Rajesh Verma Ranjan Priyadarshi Ritu Saini Sagar GabaniSahil GuptaSanju VenugopalSatya MounikaShilpa Sharma Shoubhik Purkayastha Shyam Addanki Executive MBA, PMP Suchismit Mahapatra Sushmita Yadav Varun Guliani Pavithra GopisettyManas Mahani Ashwini Patil Anna Mitchell and everyone.

Hey Everyone, Last week, we ran a poll and yes, results are in! We asked, "What's the most important skill for a product manager working with GenAI?" With 26 votes, here’s how the community prioritized: ✅ Leveraging AI strategically – 54% 🧠 Understanding AI ethics & bias – 27% 🎨 Crafting AI-powered user experiences – 19% 🤝 Leading cross-functional teams – 0% Well, The majority believed that leveraging AI strategically is the most critical skill for PMs today. It’s not just about using AI but understanding how to align it with business goals and drive impact. Interestingly, AI ethics & bias took second place, showing growing awareness about responsible AI practices. My Thoughts: The results highlight an evolution in PM expectations. In GenAI products, success depends on aligning strategy, ethics, and experience—balancing technical feasibility with business value and user trust. What do you think? How do we ensure PMs balance all these aspects? Let’s discuss—drop your insights below 👇

Recap of Community Session #37 – Building Fair AI for Fraud Detection In this Session, we dived deep into how AI can drive fairness, transparency, and accountability in fraud detection for marketplaces. Led by Madhumita Mantri, a Staff PM at Walmart and an AI enthusiast, this session showcased a hands-on demo of "Centrisk IQ," a tool aimed at identifying fraudulent listings while ensuring ethical AI implementation. 🔑 Key Pointers Discussed: 1️⃣ Why Fair AI Matters: Ethical AI reduces harm, builds user trust, and avoids biased outcomes. Fraud detection systems must balance effectiveness with fairness. 2️⃣ Challenges in Fraud Detection: Dynamic fraud techniques make traditional ML models ineffective. Explainability and user privacy remain key obstacles. 3️⃣ Centrisk IQ Demo Highlights: A tool designed to classify fraudulent marketplace listings. Leveraging GenAI for fraud detection while providing clear explanations for decisions. Plans to integrate synthetic data generation for enhanced model accuracy. 4️⃣ Tools & Tech: Gradio, MongoDB, Streamlit, OpenAI APIs, and HuggingFace environments were discussed for building MVPs. ❓ Some important Questions Asked by our audience: - How do you ensure the accuracy of fraud detection using GenAI? - What are the challenges of integrating real-time fraud guidelines into the tool? - How does feedback collection and logging improve future model accuracy? - What tools work best for debugging, hosting, and scaling similar projects? ✨ If you missed this incredible session, you can watch the full recording here: https://lnkd.in/gRxuSCSQ 🔥 Key takeaway: Building fair, transparent, and actionable AI is the future of responsible product management, and tools like Centrisk IQ are paving the way! #GenAI #FraudDetection #ResponsibleAI #ProductManagement #CommunitySession38

Invite to Community Session #38: Building Fair AI for Fraud Detection & Marketplace Safety Join us for an engaging session where we dive deep into how AI can transform fraud detection while ensuring fairness, transparency, and user safety in marketplaces with Madhumita Mantri 🗓️ Date: 7th Dec (Saturday) ⏰ Time: 11 AM PST 📍 Register Here: https://lnkd.in/g5bVnPzy? 🔍 What You’ll Learn: - How to design fraud detection systems that prioritize privacy and transparency. - The importance of transparency in AI and strategies to prevent biases. - Practical tips for building AI systems that foster trust and security in digital marketplaces. Whether you're a Product Manager, Data Scientist, or someone passionate about responsible AI, this session is packed with insights tailored for you! #GenerativeAI #ResponsibleAI #ProductManagement #FraudDetection #MarketplaceSafety #ai #ml #aiml

https://lnkd.in/g_8JCaCx

Did you miss Our Session on "Intro to AI and Multi-Agents"? Here's What You Need to Know! Last week’s community session was packed with insights about how multi-agent systems are shaping the future of AI and how they can revolutionize product management. Key Pointers Discussed: 1️⃣ Evolution from Chatbots to Co-Pilots to Agents: How agents are now empowering AI to not just assist but also take actions independently. 2️⃣ Core Building Blocks of Agents: Roles, tools, memory, guardrails, workflows, and autonomy. 3️⃣ Challenges in Agent Deployment: Addressing latency, performance, cost, and safety concerns in multi-agent systems. 4️⃣ Practical Use Cases: From customer service to research automation and contract summarization. Key Questions Asked: - What distinguishes agents from co-pilots in terms of capabilities? - How can non-technical PMs leverage multi-agent frameworks? - What are the best practices for implementing guardrails in agent workflows? 💡 If you’re curious about the future of multi-agent AI or missed the session, catch the full replay on YouTube here: https://lnkd.in/gXU_u7qg Let’s keep the conversation going! What excites you the most about multi-agent AI systems? Drop your thoughts in the comments. 👇 #GenerativeAI #MultiAgentSystems #AIProductManagement #NoCode #AIForPMs