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One of Spain’s largest banks thought its AI was performing as expected. An Arato simulation showed otherwise, and the agent was taken offline within the hour.

Reimagining not just what vehicles can do but how they're built—that’s the work Applied Intuition is now doing with Nissan. That’s right: we’re excited to announce that we’re partnering with Nissan to support development of their AI-defined vehicles, with our Vehicle OS software and AI-powered software-development tools as the foundation. Over the last 6 years, our relationship with Nissan has grown from early tooling work into a full partnership developing their SDV platform, bringing AI-native engineering workflows into one unified environment. Our demo at the AWS Summit Japan last June was a peek into the work in action. Audience members picked a software change for the vehicle’s welcome sequence, engineers implemented and validated it live, and the update deployed to the vehicle in real time. Now we’re working combining our software and AI technology with Nissan’s vehicle-engineering and production expertise to fully transform how vehicles are developed. We’re excited for what's next with the Nissan team.

Silicon Valley software expertise x Japanese engineering excellence. Applied Intuition and Honda are partnering to speed up Honda’s in-house development of a centralized, upgradeable SDV platform. Learn more about how we are working together to transform the automotive industry.

Most AI-for-data content is a demo and a promise. Ours is what we learned building Belvedere: agent skills for late-arriving data, write-audit-publish checks, and pipelines that pass review before they ship. The Clear Fracture newsletter. Practical AI and data engineering, about twice a month. Free. Subscribe in one tap. Your details fill in automatically.

Claude Code, Cursor and Codex call MCP servers, run skills, reach the network and read files. See all of it across your org. One install, free to start.

Coding agents, MCP servers, skills, network reach and file access. Install Backplanes once and see what’s running in your org. Free to start.

We’re proud to be building with EY. Together, we’re encoding the way complex M&A and private equity work actually gets done: the workflows, expertise, standards and decision logic behind it. That means turning deep enterprise knowledge into governed systems that can be used, adapted and improved across real work. This is exactly the kind of problem Capitol AI was built for, and we’re excited about where it’s going. More from our work with EY soon. https://lnkd.in/dz7S2PVH

La Inteligencia Artificial Generativa está transformando la forma en que trabajamos, creamos y tomamos decisiones. Es por esto que desde #CENIA te invitamos a ser parte del Diplomado en Modelos Generativos de IA, donde aprenderás las bases para comprenderla, aplicarla y evaluarla con criterio, de la mano de investigadores y profesionales activos en el área. 📅 Inicio: 05 de octubre | 💻 Modalidad online 👉 Inscríbete https://lnkd.in/eZR8XsyS

Turn every support ticket, survey, and incident note into a clear story about what keeps your people here and what pushes them away. CloudFactory provides analysis that surfaces early warning signs, so you can fix problems while drivers still feel ready to stay.

You need answers you can trust. By pairing CloudFactory with driver data you can uncover the specific factors that impact retention, get clear recommendations on what to do next and build a culture where keeping drivers is a repeatable, measurable outcome.

At some point in the last 12 months, someone in your organisation will have built an AI agent and shipped it without telling anyone working on AI governance. And let’s be honest. It’s probably more than one person. And probably more than once. It’s not that they would have done this maliciously. They were moving fast, solving a real problem, and maybe the onboarding process wasn't designed with agents in mind. But that agent is now running in production, touching data, influencing decisions, and it exists nowhere in your registry. Which means nobody knows what it's doing. Nobody knows what data it's touching, what it's telling customers, or whether the prompt it was built on still makes sense six months later. You find out something went wrong in the worst way (namely after it has already happened). The difference between a registered agent and an unregistered one is whether you had any chance of monitoring and catching these issues first. So how do you get visibility and control over things you can’t see? That’s why we’ve just launched the Deeploy MCP Server, designed to help organisations solve this growing problem. The idea is straightforward: connecting to Deeploy becomes part of how an agent runs, not a separate step somebody has to remember. The moment it connects, it's registered, identified, and traced. Every session, every interaction, centralised in one place alongside the rest of your AI portfolio. Whether that's a model your platform team spent months deploying, or something someone built last Tuesday. Link to the full announcement in the comments. 👇 #AIgovernance #AgenticAI #ResponsibleAI #AIAct

A year ago, we shared our experiences and learnings in our first 𝐰𝐡𝐢𝐭𝐞𝐩𝐚𝐩𝐞𝐫 𝐨𝐧 𝐀𝐈 𝐆𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞, given a practical guideline to implement AI Governance. A first set of partners joined us, and shared their experiences with us. A lot can happen in 1 year. And when I say a lot, I mean A LOT. Many of our customers embraced Agentic AI, deploying 100s or 1000s of agents (and hence use cases) to production. AI which you need to govern, you need to monitor, you need to control. But also systems that change daily, and are super hard to control in practice. Governing agentic AI requires automated discovery, automation and enforcement of controls. We all learned quickly, and are proud to share our 𝐭𝐡𝐢𝐫𝐝 𝐞𝐝𝐢𝐭𝐢𝐨𝐧 𝐰𝐢𝐭𝐡 𝐚 𝐝𝐞𝐝𝐢𝐜𝐚𝐭𝐞𝐝 𝐜𝐡𝐚𝐩𝐭𝐞𝐫 𝐨𝐧 𝐆𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞 𝐨𝐟 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈. Curious to hear your thoughts! Feel free to reach out to me, always happy to share learnings and discuss challenges! Thanks again to our partner network, happy to do this together, sharing a strong voice on implementing AI responsibly! Want to be part of our network? Don't hesitate, reach out to Maria Saldias Olsen Deloitte, BearingPoint, Conclusion Intelligence , Full Orbit, HU University of Applied Sciences Utrecht (Hogeschool Utrecht), Datashift, Clever Republic, Nemko Digital, Carve Consulting, PA Consulting, DPO Consultancy, Zanders, Digital Power, Considerati, Enjins, DataCatalyst, and 4flow. Among the contributors: Bas Overtoom, Seppe Housen, Henning von Hauen, Koen Balm, Friso Spinhoven, Jeroen Tegelaar, Aura Orval, Floris de Lange, Ton Wagemans, Stefan Leijnen, Anita Boerema, Sharad Patel, Pepijn van der Laan, Jelmer Pieters, Emine Bilsin, Chris Lemmens, Bart Maassen, Dr. Laura Gellert, Scott Rompala, Chris Roters Kolja Verhage Sjoerd Kampen and others! Link: https://lnkd.in/eCxNjSQc

Everyone's talking about agents. Memory is the conversation we should be having. OpenAI, Strategy and Google join us in Singapore, 7 October, to argue about what AI should actually remember. Spots are limited.

🗣️ “If AI agents are your new workers, world models are your new offices.” Michael Davies, PhD, Lead Data Scientist at Faculty, explores why world models could be the missing ingredient for enterprise AI - and why building a digital representation of your business could become a critical source of competitive advantage. Read the full article here: https://lnkd.in/eBxSWtvY/?utm_campaign=FrontierAds&utm_source=linkedin&utm_medium=paid&utm_id=748242043&hsa_acc=503448161&hsa_cam=748242043&hsa_grp=895353223&hsa_ad=1566943653&hsa_net=linkedin&hsa_ver=3

AI is already helping businesses reduce repetitive admin. The more interesting question is where it can support your teams without losing the expertise that makes their work valuable. For Testing, Inspection & Certification businesses, that could mean reducing the time spent on things like report writing, documentation and other admin-heavy processes - while keeping technical judgement where it belongs. That’s one of the questions we’ll be exploring in our upcoming webinar: 📅 3 November 2026 ⏰ 3:30 pm- 4:30 pm 🎥 Online We’ll look at where AI can create practical value in TIC businesses, with real examples and plenty of time to discuss what it could mean for your own team. If this is something you're thinking about, we'd love to have you join us. Register for the webinar: https://lnkd.in/eGXYfRx2/?utm_campaign=Boost_Post_WebsiteVisits_Sep21,2026&utm_source=linkedin&utm_medium=paid&utm_id=1213666314&hsa_acc=507670021&hsa_cam=1213666314&hsa_grp=899985234&hsa_ad=1568608584&hsa_net=linkedin&hsa_ver=3

AI governance is solved—now make it work. Learn how to accelerate AI impact while managing risk with scalable governance practices. Download the eBook to discover strategies to close the governance gap and drive innovation. Get your copy today!

Lepsze modele AI nie zwolniły zespołów z potrzeby precyzyjnego formułowania instrukcji. Prompt engineering to dziś kompetencja biznesowa, a nie techniczna. Napisałeś prompt. Model wygenerował wynik. Nietrafiony. Zmieniasz jedno słowo. Wynik lepszy, ale format nie ten. Trzecia iteracja. Czwarta. Piąta. Brzmi znajomo? Większość zespołów nie ma problemu ze słabym modelem – ma problem z brakiem systematycznego podejścia do promptów. A w 2026 roku to już nie jest indywidualna sprawa każdego pracownika. W nowym artykule na blogu Extentum AI pokazujemy: ✅ Anatomię skutecznego prompta w 7 elementach – rola, zadanie, kontekst, ograniczenia, przykłady, format, kryteria sukcesu. ✅ Techniki, które realnie działają w biznesie: zero-shot, few-shot, chain of thought – i kiedy ich nie używać. ✅ Jak zbudować firmową bibliotekę promptów z właścicielem, wersjonowaniem i testami. ✅ Bezpieczeństwo: RODO, prompt injection, shadow AI. ✅ Trendy 2026: od prompt engineering do context engineering. Przeczytaj i sprawdź, na którym etapie jest Twoja organizacja: https://lnkd.in/esWjyEae #AI #ExtentumAI #PromptEngineering #EnterpriseAI #AIwBiznesie

🔐W firmach regulowanych przejście od pilotażu GenAI do wdrożenia produkcyjnego zależy od danych, integracji z procesami, nadzoru oraz możliwości audytu. Raport MIT NANDA wskazuje, że około 95% analizowanych inicjatyw GenAI nie osiągało mierzalnego wpływu na wynik finansowy. Co pomaga budować rozwiązania gotowe do działania na większą skalę? ✅ Architektura dopasowana do wymagań dotyczących danych, np. on-premises lub private cloud, gdy organizacja nie może przetwarzać danych w chmurze publicznej. ✅ Workflowy z kontrolowanymi, audytowalnymi krokami. ✅ RAG oparty na wiedzy organizacji. ✅ Nadzór człowieka w decyzjach o istotnym ryzyku. ✅ Wsparcie inżynierów wdrożeniowych FDE, łączących technologię z realiami procesu biznesowego. W nowym artykule pokazujemy, jak bezpiecznie wdrażać GenAI w Legal, R&D i HR, zachowując kontrolę nad danymi i procesami. 📖 Przeczytaj: https://lnkd.in/eMGidGhA #AI #ExtentumAI #GenAI #Enterprise AI #TransformacjaAI

Most GenAI pilots stall before they ever reach production. This playbook breaks down the 5 steps data science and IT leaders use to move from experimentation to real, governed, cost-effective AI at scale. Get the eBook.

Generic AI doesn't understand your business. Custom AI does. Brainpool Cortex is built around your: 🧩 Data and workflows 🧠 Business knowledge and expertise 🔒 Security and infrastructure 📈 Changing needs AI shouldn't make your business adapt to it. It should adapt to your business. Explore Cortex →

Before your organisation decides where its AI memory should live, it helps to hear from the people building the systems that memory will sit across. From OpenAI, Thomas Jeng, Head of Startups APAC, and Sun Weiran From Google, Wei How (Howie) Owi and Abhijeet Rajurkar. From Strategy, Charmaine Chua, GM of Strategy ASEAN, and Vincent Toh. From BNB Chain, Lucas Liao and Gwénolé Martin. Christel Buchanan, Founder and CEO of ChatAndBuild, hosts and moderates. Each of them works on a different layer of the same problem: the models, enterprise cloud, business data and on-chain agents. On 7 October in Singapore, they compare notes in front of the people who have to make these calls inside their own companies. If that's you, request an invite: https://lnkd.in/e7YUr8Pf #BringYourOwnBrain #LivingBrain

"Encord was the best... it saves a ton of cost and time for us to deploy the models."

"We more than 10x'd the size of the dataset in Encord... it really is a game changer."