MLcon

Excited to announce I'll be speaking at MLcon San Diego! 🎉 My talk: Generating Playwright Tests with MCP and Playwright Agents for Intelligent QA Automation As software teams adopt AI copilots, conventional test automation struggles to keep pace. In this session, we’ll explore how Model Context Protocol (MCP) servers and Playwright Agents can work together to dynamically generate, validate, and self-heal Playwright test suites for modern web applications. Event details: https://lnkd.in/eZwnSBYQ

📌 Are ML engineers the real decision-makers in the GenAI era? 🎬 Insight from Arno Haase recorded live at MLcon. THE QUICK BREAKDOWN: 💡 ML engineers act as “kingmakers”—enabling whether AI products actually succeed in production. 💡 The role goes beyond tech: bridging business needs, requirements engineering, and ethical responsibility. Get more hands-on experience at our upcoming events: 📍 MLcon London | Park Plaza Victoria | May 11 – 15, 2026 | https://lnkd.in/dHKX-rtQ 📍 MLcon San Diego | Hyatt Regency La Jolla | June 1 – 5, 2026 | https://lnkd.in/dBVCfYph 📍 MLcon Munich | Holiday Inn Munich City Center | June 22 – 26, 2026 | https://lnkd.in/dFWNxph4 🎫 Early Bird pricing is currently active. Grab yours now! 💬 How are ML engineers shaping decisions in your organization? Let’s discuss in the comments. 👇 #MachineLearning #AI #Tech #MLOps #MLcon #GenerativeAI #AIEngineering

MLCon Amsterdam is not just about talks—you can also join our hands-on workshops. Whether it’s the Platform Engineering Bootcamp or AI-focused sessions, you’ll gain skills you can actually use. 👉 Spots are limited: https://lnkd.in/d7Gnw_GR

📌 What if the future of AI isn’t autonomous—but assistive? 🎬 Insight from Max Marschall recorded live at MLcon. THE QUICK BREAKDOWN: 💡 AI will act as a support system—augmenting workflows instead of replacing humans. 💡 Practical value lies in task automation, like intelligently completing support forms from user input. 📍 MLcon Munich | Holiday Inn Munich City Center | June 22 – 26, 2026 | 🛠️ Workshop: Technical Deep Dive in Model Context Protocol : https://lnkd.in/d2myZd2Y 🎫 Early Bird pricing is currently active. Grab yours now! 💬 How are you integrating AI as a support system in your current pipeline? Let’s discuss in the comments. 👇 #MachineLearning #AI #Tech #MLOps #MLcon #AIAssistants #HumanInTheLoop

🚀 The Future of APIs Is Agentic—Are You Ready? AI agents don’t follow fixed workflows—they think, adapt, and act. And most APIs? They’re simply not designed for that. In this article, David Roldán Martínez  breaks down the core #API patterns needed to power real agentic AI systems. What you need to build agent-ready APIs: 🛠️ Dynamic function discovery & tool calling 🧠 Advanced memory systems for context and learning 🔄 Persistent agent state across long-running workflows ⚙️ Flexible, modular API design for autonomous decision-making This is what separates demos from real AI systems. 🔥 Read the full article here: ➡ https://lnkd.in/dYZbdihS #MLcon #APIs #AgenticAI #LLMs #SoftwareEngineering #MLOps

🌌 What If Your OS Could Think—and Act—for You? The Rise of the Agentic OS with #MCP What if your operating system didn’t just respond—but acted? This new blog, Nahla Davies explores Microsoft’s vision of an Agentic OS, where intelligent agents are deeply integrated into #Windows, working across apps, data, and workflows to get things done for you. What it takes to understand the Agentic #OS: 🧩 How MCP enables #AI agents to collaborate across your entire system 🔗 Why Windows could evolve into a proactive, goal-driven environment 💡 How this shift reduces cognitive load and boosts productivity 🚨 The risks you shouldn’t ignore: security, privacy, and control This isn’t just another AI trend—it could redefine how we interact with computers. If you're serious about the future of AI and software, this is a must-read. 🔥 Read the full blog here: ➡ https://lnkd.in/dAiA4JTK #MLcon #SoftwareEngineering #MLOps #MLEngineer

🚀 APIs Are Not Ready for AI Agents—Here’s What Needs to Change Most APIs were designed for simple request-response interactions. But agentic AI systems operate very differently—they plan, adapt, and act autonomously. In his latest blog, David Roldán Martínez explains how APIs must evolve to support this new paradigm. What it takes to build APIs for agentic AI: ⚙️ Stateful systems for long-running workflows 🧠 Memory and context-aware interactions 🔄 Asynchronous, multi-step processes 🛠️ Dynamic tool and function orchestration 👀 Observability and fail-safe design If you're working on AI beyond simple prompts, this is a must-read. 🔥 👉 https://lnkd.in/dfGHUa8w #MLcon #AI #LLMs #MLOps

📌 LLMs are real AI, but treating them like human minds is where teams go wrong. 🎬 Insight from Christoph Henkelmann Henkelman recorded live at MLcon. THE QUICK BREAKDOWN: 💡 LLMs do not reason like humans. They generate outputs by statistically interpolating across learned patterns, not by thinking step by step like a brain. 💡 The real challenge is epistemic: LLMs do not know what they do not know, which makes validation, trust, and production use far trickier than querying a database. 💬 How are you handling LLM reliability in your current pipeline? Let’s discuss in the comments. 👇 #MachineLearning #AI #Tech #MLOps #MLcon #LLMs #GenAI

⌛PRICES GO UP TONIGHT!  Save big and get exclusive perks, only until midnight ✅ Save up to 455€ ✅Free gadget ✅ 4-Day Special Join ML experts, explore hands-on sessions 👉Explore full program now : https://lnkd.in/eSitmSYk #MLcon #GenAI #EarlyBird #MCP #Developertools