Product User Community

What an amazing quarter! As we’ve wrapped up Q2 2026, let’s take a moment to recognize the incredible people who drive the Cognite Hub forward - our outstanding community members. We’d like to shine a spotlight on our Top 3 Contributors for the past quarter. These individuals have gone the extra mile to help their peers, share knowledge, and spark innovation across the Hub:🥇 ​@Shun Takase  – NIPPON SHOKUBAI🥈 ​@Kubota Mami – Cosmo Oil Co., Ltd.🥉 ​@Gunnar Andreas  – Aker BP ASAThanks for always being so willing to jump in, share your expertise, and help out. Looking forward to more great discussions. 👇 Drop a comment below to help us congratulate our Q2 Community Leaders!

I had the honor of attending NVIDIA GTC 2026 alongside our Principal AI Architect, Peet Cremer, our Head of Cognite Atlas AI, Justin Lawyer, and our SVP of Partners & Alliances, Trygve Ronnigen. Between Jensen Huang's visionary keynote and the buzzing energy at the Microsoft Pavilion, one thing is clear: we aren't just talking about "cool AI" anymore - we are talking about AI that works in the physical, messy, and complex world of heavy industry.Our team spent the week diving deep into the next generation of compute and intelligence. Here are the core insights we’re bringing back from the ground. Key Takeaways from the GTC FloorThe pace of innovation is accelerating, and NVIDIA's latest announcements are shifting the goalposts for what's possible in industrial AI:Security for the Agentic Era: As we move toward autonomous AI agents, security is non-negotiable. NVIDIA's launch of NemoClaw, featuring the OpenShell sandbox and enhanced privacy, is a big step forward in making AI safe f

Innovation happens best when everyone has a voice. Instead of relying on one person to funnel feature requests, Cognite Hub solves the bottleneck by enabling all eyes in your organization - or our global community, depending on your preference - to tap in. Whether you are an admin, a developer, or a daily end-user, this is your official space to share frontline insights and directly influence the Cognite Data Fusion product roadmap. Why Submit Your Ideas? Public Ideas: The Product Ideas board is your dedicated space to share requests with the Cognite product team and the community. Submitting publicly allows others to validate, vote on, and build upon your idea! Private Ideas: Submitting privately ensures that feature requests tied to your unique business goals, confidential internal initiatives, or proprietary workflows stay strictly between your organization and Cognite. Track Your Impact: Want a top-level view of your contributions? Upon request, the community team will share an

Cognite documentation powers human and agent workflows with new AI functionalityCognite now offers several ways to bring our official CDF product documentation into your AI-powered workflows.A docs MCP server for live documentation access in your IDE.  SKILL.md capability files so AI assistants understand what Cognite Data Fusion (CDF) can do. An integrated experience on docs.cognite.com that includes an AI assistant that answers questions and cites sources, plus one-click options to send any page to Cursor, VS Code, ChatGPT, or Claude.To use the MCP server and the SKILL.md file, you'll need a compatible AI-powered IDE or assistant (for example, Cursor, Claude, Windsurf, or VS Code with Copilot). To install the SKILL.md file with the skills CLI, you also need Node.js. Docs MCP server: live documentation in your IDEThe Model Context Protocol (MCP) is an open standard that lets AI assistants securely access external data and tools. Cognite's docs MCP server gives your IDE live access to

Hey everyone! 👋 I've been diving into the world of CDF data modeling for the past couple of weeks, and I thought I'd share what I've learned so far in a way that's easy to understand. First off, let's talk about the term "Data Modeling." It's everywhere in CDF - in API endpoints, UI, docs - but its meaning can vary depending on where you look. After some digging, I've figured out what it means specifically in CDF. Essentially, it's about organizing, storing, and working with data in a way that's perfect for handling complex industrial scenarios. Think of it as the foundation for unleashing the power of Cognite Data Fusion on your industrial data. So, what exactly makes up a Data Model in CDF? Let's break it down: Space: Think of it like a folder where everything in a Data Model hangs out. Containers, views, instances - they all belong to a Space and have their own unique ID. Containers: These are like the storage units for properties. They live within a space and hold sets of proper

  The countdown is on! Cognite Hub has officially launched the Impact Challenge 2025 -a no-code hackathon inviting all our community members to roll up your sleeves and solve real-world challenges using Cognite Data Fusion. Unlocking Value Through Community InnovationAt its core, this community-driven initiative is about unlocking value - from accelerating CDF adoption to creating user-friendly solutions, breaking down silos, and driving measurable business impact. And it’s all happening without writing a single line of code. Let’s turn ideas into Impact!Expert Support and MentorshipParticipants will be supported by a panel of Cognite experts and community leaders who will mentor and guide top ideas as they evolve. After an initial round of social voting, the top 10 concepts will receive dedicated mentorship to help bring their visions to life.Recognition and RewardsAnd the reward? The best ideas will step into the spotlight at the Impact Conference in Houston, gaining visibility, reco

Below we have outlined several frequently asked questions and their corresponding answers.Don’t see the answer to your question? Post as a reply in this thread and we’ll be sure to answer and/or add it to the FAQ list below! Protip: Use [cmd+f] or [cntrl+f] to search for keywords related to your question. FAQsHow do I create a new chart?You can easily create a new chart by clicking the + New Chart button on the landing page after entering How do I edit the name of my chart? From the landing page, click the vertical “•••” to the right of the chart’s current name to reveal a drop-down options menu. Click the “Rename” option to open the text box. When finished, you can save you change by clicking the “Ok” button or by pressing “enter” or “return” on your keyboard to save the name. To cancel, click the “Cancel” button or press “escape” on your keyboard. While viewing the chart itself, mouse over the chart’s name in the top menu bar to reveal the  icon.   Remember, it’s important to choose

A common setup that we have at Cognite is having 3 different environments: development, test and production. We have one specific Cognite Data Fusion (CDF) project for each of these environments. This setup allows to develop new features without interfering with production data. Also, it makes the deployment of new features to production much safer, since they are tested before.Sometimes, you still want to have the data you used during your tests, in your production environment. For example, if you extracted some data from sensors and saved them as time series in CDF, you may want to keep this historical data when you move to production. Same goes with files, assets, datasets, functions etc. Another example could be the replication of the data from a full production CDF project, to one of your customer’s project, containing only a subset of the source one.At Cognite, we have a python package (available at https://pypi.org/project/cognite-replicator/) whose purpose is to copy the select

Hi everyone!  🔔 Just a quick reminder that our comprehensive, self-paced, and on-demand courses are available at Cognite Academy. Whether you're looking to enhance your skills or explore new areas, we've got something for you! Upon completing a course, you’ll earn a certificate that will be added to your community profile and can also be added to your LinkedIn Certifications, helping you showcase your achievements to a wider network.Looking for more hands-on learning? We also offer 5-day intensive in-person trainings for those wanting a deeper dive.Unlock your next learning journey today!🚀

Hi Cognite Community! I'm Henry Martinez, Head of Products, Operations data  in SLB.I’m thrilled to announce that I’ll be speaking at Cognite’s Impact user conference, where I’ll be diving deep into how Cognite Hub has played a pivotal role in advancing the SLB and Cognite partnership. We’ve seen firsthand how the Hub has streamlined internal processes, enhanced user onboarding, and boosted product engagement. With nearly 7000 active members, the Hub has become a go-to place for expert advice, industry discussions, and knowledge sharing.Here are some key highlights I’ll cover at Impact:How the Hub’s collaborative environment fosters innovation and strengthens partnerships Ways to make the most of dedicated feature groups for early adopters, gaining access to beta features and expert support Leveraging event calendars, submitting product ideas, and voting on existing ones to actively shape the future of our productWhether you're attending the conference or engaging here in the community

We’re excited to announce that Cognite is now officially listed on the CSA STAR Registry at Level 1! 🌟Cloud Security Alliance (CSA) STAR Registry is a trusted benchmark in cloud security, providing a comprehensive view of the security practices of cloud service providers. Being included in this registry means that Cognite meets the highest standards of security, transparency, and trustworthiness in the cloud industry and joins a competitive list of other recognized leaders. With over 2,000 cloud service providers listed, we’re proud to have our name among the best.So, what does this mean for you? As a Data and AI company, Cognite is dedicated to empowering industries worldwide - from Energy and Process Manufacturing to many other industrial sectors. Our solutions help improve production uptime, optimize operations, and drive innovation. We’re committed to not only delivering cutting-edge technology but also ensuring that your data is handled with the utmost security and care.This reco

Hey everyone ! Welcome back to our data modeling adventure in CDF! In my first post, I tried to explain my understanding of the core concepts - spaces, containers, views, and the elusive knowledge graph. We learned how data models act as the foundation for unlocking the power of Cognite Data Fusion for your industrial data.This time, let's delve deeper into the world of views and containers - the essential ingredients that bring your data models to life! Beyond the Fundamentals: Unveiling Views and ContainersThink of a data model as a recipe. It doesn't contain the actual ingredients (data) itself, but it tells you exactly what pre-made dishes (views) and fresh ingredients (containers) to use. Views: The Pre-Assembled Data: Imagine views as pre-prepared dishes – Views are essentially pre-defined data selections curated from specific containers. These containers hold the raw data (think sensor readings or equipment properties). A single view, akin to a pre-made sauce, can be referenced

Semantic search is a new service under the existing Documents API in Cognite Data Fusion. For details on what semantic search is and an introduction to the service, please see attached presentation below.The service lets you search for relevant parts (passages) of up to 100 documents by using advanced filters and semantic search queries. Semantic search works by comparing the semantic meaning of the search query to the semantic meaning of the document passages. The document passages are automatically derived and indexed upon file uploads (PDF only).The flow for using semantic search on set of documents is as follows: Upload the PDF documents to Cognite Data Fusion Query /documents/status to check if the document is ready  Query /documents/semantic/search to find relevant passages in the document(s)Documentation for the service is being developed. Please find documentation for the respective endpoints below:/documents/status /documents/semantic/search

Hi community! Dive into the insights from the World Economic Forum in Davos, where @John M. Lervik  explores the dynamic future of the energy industry, together with the panelists Dr. @Paula Doyle, Chief Digital Officer at Aker BP, Dr. Noriko Rzonca, Chief Digital Officer at Cosmo Energy, and Camilla Nilsson, CEO at Kyoto Group.The spotlight is on the critical role of trustworthy data and the enabling power of Gen AI, propelling us into gaining a competitive advantage. As the discussion unfolds, it becomes clear that each of us is integral to driving change - embracing curiosity, passion, and a commitment to be the catalysts for a transformative future.You can experience the insightful session below. We invite you to share your valuable thoughts within the community that plays a pivotal role in shaping the future.   Read the blog “Top of mind” from executives at The World Economic Forum 2024

Found a bug? Have a question about how something works? We want to hear about it!You can choose to either create a dedicated post (topic) in the Charts group by clicking the Create topic button OR simply post a reply below in this thread. Remember to include a screenshot or video to help the product team best understand what exactly you’re talking about or referring to. 

Hello Community👋, Are you tired of the time-consuming and complicated process of turnaround (TAR) planning? In our latest blog post, we delve into the revolutionary potential of Generative AI in TAR planning. Discover how this advanced technology can reduce timelines, boost production capacity, and unlock untapped revenue opportunities.Generative AI holds the key to saving months of planning and improving operational efficiency. Traditional TAR planning faces challenges such as long-term cycles, budget constraints, preventive maintenance practices, limited collaboration, and post-turnaround equipment failures. These issues stem from manual data aggregation, isolated solutions, and the lack of comprehensive approaches.Find our how Generative AI can revolutionize TAR planning cycle!

Hi community members, Many of you have likely heard of – or directly experienced – the industrial data problem that stands in the way of the success of Asset Performance Management (APM) strategies and solutions.In light of this, we wanted to share an insightful report recently published by Verdantix that highlights these challenges and compares APM vendors on the market today.We’ve summarized the key findings from this report as a guide for asset-heavy organizations seeking to invest in Asset Performance Management software. Click here to read more on our blog.We genuinely value your input and would love to hear whether these challenges and proposed solutions resonate with you too? Your thoughts and experiences are important to us as we continue to explore ways to overcome the hurdles faced by the industry. Thank you for being a part of our community, and we look forward to your valuable thoughts!