Disprz

Over the last few weeks, I've been writing about how learning will change in the age of AI. Where it will happen. How it will happen. What it will be delivered through. Each of those posts was about a piece of the picture. This one is about what the whole picture looks like when you put it together, and why most enterprise learning platforms aren't built to deliver it. Here are five things that will define the next generation of enterprise learning: 1. A semantic knowledge graph, not a course catalogue. Legacy LMS was built for admins to upload and employees to complete. The system understands nothing about your business, what your roles demand, or where capability is quietly breaking down. A knowledge graph encodes all of that. Without it, AI has nothing meaningful to reason over. 2. A diagnosis engine, not a reporting dashboard. Most L&D analytics are descriptive by design. A diagnosis engine reads live signals from work systems, manager inputs, and business outcomes, and tells you what is deteriorating before the quarterly review catches it. The shift is from reporting on learning to responding to performance. 3. A multi-agent framework as the operating brain. Not one model doing everything. A coordinated network of specialised agents, one tracking skill decay, one monitoring onboarding signals, one generating practice scenarios from real job context, one coaching in the flow of work. Not a chatbot. A master orchestrator that knows what to run, and when. 4. A conversational interface, not a workflow builder. L&D teams spend an unreasonable amount of time configuring platforms, building learning paths, managing content rules, operating workflow builders that need specialist knowledge just to run. That era is ending. Describe what you need, and the system builds it. The era of training people to think like software is over. 5. Digital colleagues with real responsibilities. You don't manage a hundred AI agents. You work alongside a few digital colleagues with defined scopes, one monitoring frontline capability gaps, one scoring practice simulations for your relationship managers, one surfacing mobility signals before your best people start looking elsewhere. The L&D teams around them aren't displaced. They're freed up to do the work that matters. The shift is from a platform your L&D team operates to a system that operates alongside your business. Most teams today are adding AI features to platforms designed for a different era. The architecture was never built for this. Getting there requires a genuine rethink, not an upgrade. We put together a full blueprint on what that rethink looks like: https://lnkd.in/dBnXNZEh

Had a great time attending The Vibe Sprint facilitated by The Product Folks and Emergent today. What stood out the most was the energy in the room — experienced product leaders and aspiring PMs actively collaborating, experimenting, and building together. We worked on real-world problem statements, vibe-coded product ideas within minutes, and wrapped up the session with quick demos. It was refreshing to see how fast ideas could move from discussion to execution. A special shoutout to Madhava Narayanan and Anitha KishoreKumar for showcasing ProductResume and SafeMatch — vibecoded products focused on solving genuine user pain points that many existing solutions still overlook. Walked away with a lot of insights, new perspectives, and interesting conversations. Big thanks to the organizers — Sudharsan L , Sudharsan Moorthy , and The Product Folks team for putting together such an engaging session. Looking forward to more sessions! #ProductManagement #VibeCoding #AIProducts #BuildInPublic #AIBuilders #TheProductFolks #Emergent

“🇮🇳 India processes nearly half of the world’s real-time payments.” That single statistic says a lot about what UPI has become. 🚀 Not just a payments product. Not just a fintech success story. But one of the most successful digital infrastructure systems built at population scale. 🌍 A few numbers that genuinely stood out to me: 📊 • UPI processed 22.4+ billion transactions in April 2026 alone 📈 • Annual transaction volume crossed 241 billion transactions in FY26 💳 • UPI now contributes ~85% of India’s digital payment volume 🏦 • The ecosystem scaled from just 21 banks in 2016 to 700+ banks today 🌐 • India now contributes ~49% of global real-time payment transactions What’s fascinating from a product perspective is how UPI achieved this scale. Not through flashy features. But through infrastructure simplicity. ⚙️ A few things UPI got exceptionally right: 🔗 • Interoperability by design Every bank and app could seamlessly connect. ⚡ • Zero-friction onboarding A bank account + mobile number became enough to start transacting. 🛡️ • Bank-linked trust People trusted UPI because it felt like an extension of their bank — not a separate wallet ecosystem. 📱 • QR ubiquity From airports to tea stalls ☕, the same payment UX worked everywhere. The real innovation of UPI wasn’t just digital payments. It was reducing coordination complexity across banks, merchants, apps, and consumers through a common infrastructure layer. 🏗️ The most transformative products often win not because they add complexity — but because they remove it. What’s even more interesting now is how UPI Reserve Pay and emerging agentic payment flows could reduce payment friction even further. 🤖💸 Instead of manually approving every recurring transaction, AI-powered payment agents could handle payments within predefined user consent and limits. If UPI simplified digital payments for humans, agentic payments could eventually simplify them for software itself. #UPI #Fintech #DigitalPayments #ProductManagement #IndiaStack #EmbeddedFinance #AI #AgenticAI #Payments #FintechIndia

Stop letting the algorithm spend your budget without strategy. The biggest mistake in performance marketing today isn’t platform selection. It’s the “set and forget” mindset. As Google and Meta push deeper into AI driven optimization, marketers are no longer just operators. We’re system architects. And that shift becomes critical when understanding audience intent. Too many brands still treat Affinity and In Market audiences the same way. But there’s a huge difference between someone casually watching cooking videos and someone actively comparing air fryers before making a purchase. One is interest. The other is intent. Real expertise is knowing how to align the campaign with the audience temperature. Affinity audiences need storytelling and trust building. In Market audiences need urgency, proof, and frictionless conversion paths. Performance marketing today isn’t about handing everything over to the algorithm. It’s about giving the algorithm the right signals so automation works with your strategy, not instead of it. Automation scales execution. Strategy scales outcomes. #PerformanceMarketing #DigitalStrategy #GoogleAds #PaidMedia #GrowthMarketing #aiinmarketing

Had an informal catch-up with a few L&D leaders yesterday, the kind where the agenda goes out the window and the real conversations start. 😄 One thing kept coming up: how hard it is to drive genuine learning engagement when the platform feels like it was built for someone else. 🌍 And that's the real problem with a lot of L&D thinking. We obsess over content and forget about belonging. It's why I keep coming back to Thrive Spaces, and specifically what it looks like when it's running in genuine Arabic, with full right-to-left support. Not bolted on. Native tailored for Middle East. ✨ Because community learning only works when every learner feels the space was made for them. Language, layout, direction, all of it. The shift from "here's your curriculum" to "here's your community" is already happening. The question is whether your platform can actually meet learners where they are. 💬 Curious what this looks like for your organisation? Thrive team in Dubai are one conversation away ☕ Josh Devanny | Selim Chehab | Jon-Paul Fradley | Alaa Elawadi #LearningAndDevelopment #SocialLearning #Thrive #Arabic #Localisation #DXB #KSA #Vision2030 #Middleeast #thrivelearning