More of our Tech Talks Live speakers share what they hoped attendees took away from their sessions🎙️ In this video our speakers discuss embracing AI within organisations, the rise of agentic AI in software engineering and the key considerations and benefits of AI PoC's. Here’s what they had to say ➡️

🚀 Why OpenFilter is changing the game for AI infrastructure Plainsight President & CFO Jonathan Simkins shares why OpenFilter was a key reason he joined Plainsight. Unlike many projects that are just forks or meta-layers, OpenFilter is unique—bringing a true universal abstraction for computer vision applications. 🔑 What makes OpenFilter different in the open-source ecosystem 🔑 Why enterprises need this kind of foundation for scaling AI 🔑 How open source is driving the future of computer vision 👉 Watch the full conversation here: https://hubs.ly/Q03LNzQc0

Notebooks were made for people, not for AI. Zerve rebuilt them for both. In one week, our Co-Founder and CPO Greg Michaelson will join data science expert Joel Grus, author of I Don’t Like Notebooks, to explore a new kind of notebook where humans and agents collaborate in real time. See how the latest Zerve release helps teams go from question to deployed solution faster, without rewrites, orchestration tools, or context switching. Register: https://hubs.la/Q03Np6KJ0

⭐ Build AI Agents with LangGraph Learn to build a startup intelligence agent in this video guide, showcasing LangGraph's stateful workflows with planning capabilities and SingleStore integration for vector storage. Watch the tutorial: https://lnkd.in/ea4AyHwS

Meet Rhoxi – Q-Fi’s New Research Assistant We’re thrilled to introduce Rhoxi AI (rhoxi.ai), now in limited beta. Rhoxi instantly transforms Word questionnaires into fully built Q-Fi surveys, cutting setup time from hours (or even days) down to minutes. No more manual programming or formatting headaches — just upload, review, and launch. This beta marks a big step toward what we’ve always aimed for: making research faster, easier, and more creative by removing the technical barriers that slow teams down. Rhoxi is currently being tested with select partners, and early feedback has been incredible. 👉 Learn more at https://rhoxi.ai/#signup

Last month at the ELC annual conference, Krishna Kannan shared with attendees the AI Impact Framework - built in collaboration with 300+ engineering leaders and grounded in data from over 20,000 developers. Now, you can watch the recording here: https://lnkd.in/gpx3jXVK And download the framework here: https://lnkd.in/gEAq-2wP

This year's Worldly Customer Forum was filled with exciting product announcements, including "mind-blowing AI technology" according to Worldly's Chief Strategy Office James Schaffer. During his Product Keynote, Chief Product Officer Kevin Vranes unveiled Worldly Axion: A generative AI solution for climate and social risks across global supply chains. Worldly Axion uses Worldly’s primary dataset from tens of thousands of facility assessments, combined with 30+ global, public data sets, to provide deep insights into situational, geographic, and operational risks and opportunities. Learn more about Worldly Axion and schedule a demo today: https://lnkd.in/gcFE2YeP

Just wrapped our Customer Forum. Our CPO Kevin Vranes unveiled Worldly Axion – AI for supply chain risk that actually works. We’re pulling insights from tens of thousands of facility assessments plus 30+ global datasets. Worth a look if supply chain complexity keeps you up at night: https://lnkd.in/gcFE2YeP

The difference between an MVP that attracts investors and one that stalls often lies in how it’s built — not what it is. On October 29, I’ll share how AI-enhanced development helps founders create MVPs that investors actually believe in. Through real cases, like cutting integration time from 136 to just 18 hours with AI-assisted engineering, I’ll show how to gain speed without losing reliability. We’ll also talk about: • What early-stage investors really expect from MVPs • How to validate your concept quickly and effectively • When to trust AI and when human expertise is non-negotiable 💡Why MVPs Fail and How to Build One That Investors Love 🗓 October 29 | 5 PM CET / 12 PM ET 🔗 Join the webinar: https://hubs.li/Q03PsjLN0

The open-source backbone of semantic AI is here: /function1 is excited to welcome Qdrant as a sponsor for the upcoming AI Genesis hackathon. Every great AI system depends on one thing: finding meaning in data, and that’s where Qdrant comes - the vector database designed to make semantic search, recommendations, and large-scale embeddings not just possible, but effortless. Built in Rust and optimized for production performance, Qdrant brings together blazing-fast similarity search, hybrid filtering, and automatic replication to handle numerous data points with ease. Trusted by global innovators like Deloitte, Bosch, Deutsche Telekom, and many others, Qdrant is helping the world build smarter, faster, and more context-aware applications. Don’t just search for meaning in AI - find it with Qdrant at /function1. Grab your ticket now: https://lnkd.in/dBm-dcGy