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We’ve launched the first phase of the new Cognite Flows learning journey on Academy - designed for developers and technical builders who want to start building production-ready industrial applications with Cognite Flows.Cognite Flows is the new AI-native action layer within the Cognite platform, enabling teams to build contextualized workflows and custom industrial applications significantly faster by combining operational data, AI, and modern development tooling.The newly released Step 1: Cognite Flows Foundation introduces the core concepts, architecture, and development approach behind Flows, including:Understanding the Flows ecosystem and custom app architecture AI-native development workflows and builder skills Local development, deployment, and app lifecycle basics Foundations required for the Flows Builder Certification journeyThe learning path is especially relevant for:Developers building industrial applications in CDF Technical consultants and implementation teams Solution ar
We've just released v4.5.0 of the Cognite Data Source for Grafana, with a focus on making Core Data Model (CDM) the default path for new dashboards and bringing operational context (Activities) into your time series charts. This release builds on v4.4.0 and consolidates several capabilities that make Grafana a stronger fit for teams already working in CDM, or planning to migrate.What's new in v4.5.0Activities tab - a new query tab that lets you query CogniteActivity records directly in the editor, with filtering by Asset, Equipment, or TimeSeries. No GraphQL required. Activity annotations - overlay activities as shaded time regions directly on CogniteTimeSeries charts. Useful for visualising maintenance windows, planned downtime, or operational events alongside sensor data. Numeric time series auto-detection in the Data Models (GraphQL) tab - results with type "numeric" automatically fetch datapoints from CDF, removing a manual step in dashboard setup. Config editor overhaul - settings
The Cognite Data Fusion (CDF) Bootcamp schedule for the second half of 2026 is now available.This 4-day, instructor-led, in-person training is designed for technical professionals who want hands-on experience building solutions with Cognite Data Fusion. Participants will work through key concepts including data ingestion, contextualization, data modeling, orchestration, and application development through practical exercises.Ready to build your CDF skills?Check the calendar and register for a session that fits your schedule.Open bootcamps are offered in:Oslo, Norway Phoenix, ArizonaWe recommend registering early to allow enough time to complete the required pre-work before the session begins. Event Name Event Date Location Cognite Data Fusion Bootcamp in Phoenix - July 2026 July 20-23, 2026 9:00a.m. US/Pacific Phoenix, Arizona Cognite Data Fusion Bootcamp in Phoenix - Aug 2026 Aug 17-20, 2026 9:00a.m. US/Pacific Phoenix,
Learning Paths: Build skills step by stepNew learning paths bring related topics together so you can build a solid understanding of key CDF concepts and workflows, progressing from fundamentals to practical implementation.Cognite Flows Foundation Certificate: We’ve recently introduced the Cognite Flows Foundation Certificate learning journey, designed for developers and technical builders working with industrial applications and Cognite Flows.The learning path provides a strong foundation in the Cognite Flows ecosystem, including core concepts, a human-centered approach to application building, engineering architecture, submission processes, and security guidelines — everything needed before getting started with deployment and development in Flows.Who it’s for: Developers, consultants, and solution architectsValue: Build foundational knowledge for industrial application development and Builder Certification preparationDuration: 120 minutesBy completing the learning journey, you will ea
The Q2 2026 release accelerates the democratization of Industrial AI, empowering teams with production-grade custom app infrastructure and declarative data workflows. We have significantly increased industrial workforce capacity through precision search migration, zero-code CSV exports, and immersive 360° spatial walkthroughs. To rapidly scale use cases across the enterprise, builders can now leverage lifecycle-managed Atlas AI Skills and native agent execution to deliver a unified, intelligent experience across all Cognite Data Fusion (CDF) applications. Review the core release highlights below to discover how these advancements are accelerating time to value by making Industrial AI more robust, scalable, and accessible for the entire industrial workforce.Cognite Flows - Native and Custom apps Cognite Flows - Custom Apps Cognite Flows - Adaptive Experiences Cognite Flows - Application Certification Cognite Flows - New Developer Experience Industrial Canvas - Symbol Library Update
Have you seen it? In our last release, we added support for File Upload through the Search application. The goal is to remove a hindrance to daily use by allowing single-file uploads for non-technical users of Cognite Data Fusion.While most data in Cognite Data Fusion is ingested through structured pipelines, there was a need to enable individual Subject Matter Experts (SMEs) to upload data directly. This allows non-technical users, such as Reliability Engineers, to add valuable information for future reference.As of earlier this year, we have support for file uploads through the Search application and for using Search as a resource selector (e.g., in Canvas or Charts). This is available for Data Modeling Files. We ensured to add governance around file uploads: Only available through use of Location(s) The Location needs to have File Upload space added to the Location configThe individual user will see the File Upload option for Files if the location they have selected has a File Uploa
We’re deprecating the totalVariation aggregate function for numeric time series in Cognite Data Fusion, effective April 20, 2027. This follows Cognite’s 12-month deprecation policy for GA features: between now and that date the aggregate will continue to function as documented, and after it, requests that include totalVariation will return an error. The change applies to requests to the time series data list endpoint (/timeseries/data/list).If your integrations rely on totalVariation, directly via the API, through an SDK, or in dashboards and derived pipelines, please review them before April 20, 2027 and migrate to another aggregate.If totalVariation is important to a workflow in your organization and none of the alternative aggregates fit, reply to this thread or reach out to your Cognite representative. It helps us most if you can share:The use case and what the output drives (dashboard, alert, calculation, report). The time series volume and aggregation granularity involved. Whethe
Today, we released a ton of improvements to the Cognite Toolkit. Here is what you should know about the fresh v0.8 version: Better performance: Substantial refactoring has led to faster execution, especially for build, deploy, and data transfer commands. Enhanced Deployment: The deploy command is now forward-compatible with the API, ensuring proper property handling. Clearer Validation: Output is now easier to read and provides richer guidance for both you and your agents. NEAT Intelligence: You’ll notice more recommendations and auto-fixes for Data Modeling performance and scalability, powered by built-in NEAT logic. Module Scaling: Reusing modules is easier with the module repeat feature, allowing you to deploy a module multiple times using site-specific variables. New Plugins: To streamline the experience, we’ve moved development features to cdf dev ... and data features to cdf data ....Other nice-to-knows:Auth breaking changes: In cdf auth init, we have removed the --no-verify and
We are committed to continuously improving your experience in Industrial Canvas. Our goal is simple: help you generate value faster through a seamless, uninterrupted workflow—eliminating the friction of slow load times and performance lag. With our March release, Industrial Canvas now loads 50% to 70% faster on average. We’ve also reduced memory usage by up to 70% during loading, even for your most complex canvases. We look forward to hearing your feedback!Best,Andreea
We’re excited to announce the release of Activities in Charts, a new capability that brings operational context directly into time series analysis on CDM and Hybrid Projects.With Activities in Charts, you can now visualize asset-related activities, such as work orders, maintenance events, or operational tasks, directly on your Charts, alongside your time-series data. This makes it easier to understand what happened, when it happened, and how it impacted performance.Why this mattersWhen investigating operational behavior, data alone is often not enough. Activities provide critical context that helps teams:Correlate events and activities with changes in sensor data Perform faster root-cause analysis Reduce the need to switch between tools during investigationsBy bringing activities into Charts, we enable a more unified and intuitive analysis experience.What you can do with Activities in ChartsView activities overlaid on time-series charts Align operational events with performance trends
Learning Paths: Build skills step by stepNew learning paths bring related topics together so you can build a solid understanding of key CDF concepts and workflows, progressing from fundamentals to practical implementation.Data Modeling: Schema Design and Structure: Learn how to create Containers, Views, and Data Models. This learning path focuses on the schema design and structure of Data Modeling in CDF. It covers the foundational concepts - how to design Containers and Views, structure your model, and apply basic naming and governance practices before writing code or ingesting data. This is a fundamental-level path for users who are new to Data Modeling but already have some familiarity with Cognite Data Fusion. Data Modeling: knowledge graph creation: Understand how to load data into an existing data model in CDF. This learning path focuses on building a Knowledge Graph by ingesting nodes and edges, covering common data sources and the tools used to populate a schema.This is a found
We are thrilled to announce the Beta release of our new Simulator UI within Cognite Data Fusion (CDF). For too long, high-fidelity simulation runs have been locked behind a "technical wall" of complex APIs and developer-only workflows. Not anymore.We are handing the keys to the Subject Matter Experts (SMEs). Whether you’re optimizing production or running custom models, you can now orchestrate the future of your assets without writing a single line of code. From API-First to SME-ReadyPreviously, our simulator connector integrations required deep technical knowledge to configure and run. Our new interface replaces manual API calls with a sleek, intuitive workspace. Visual Logic Orchestration: The Routine BoardThe heart of this release is the Routine Board. SMEs can now visually map out simulation sequences, setting inputs, defining calculation steps, and extracting results using a drag-and-drop interface.
While most data in Cognite Data Fusion flows through structured pipelines, we know that critical insights often live with your experts.To empower non-technical users, like Reliability Engineers, we have introduced Direct File Upload. This allows Subject Matter Experts to instantly upload resources (such as a Root Cause Analysis template, a report etc.) directly into the Search UI or through resource selectors in tools like Canvas.This feature was released on 3 March 2026. Admin governance & setupTo ensure these files remain organized and secure, Admins must first define a destination for each Location for the File Upload option to appear. The File Upload option will only appear for users once this is configured.To enable this feature:Go to Admin Workspace > Project Settings. Select Locations > Configure. Define which Space should be used for all file uploads in that location.How permissions workAccess is controlled through the permissions of the destination Space you’ve sel
Hi everyone!Finding an asset is one thing; understanding its surroundings is another. In the upcoming release on the 3rd of March, we’ve upgraded the 3D Experience in Search to give you instant spatial context without leaving your search results.What’s New?In-Preview Scenes & 360-images: View 3D scenes and 360-degree images directly in the search preview pane. Seamless Transitions: Move from a search preview to the unified 3D world while staying immersed in your 360-degree view. Direct Access: Launch full Scenes immediately from the preview card.See your asset in it’s full real-world context byviewing your 3D Scenes in Search⚡ Quick Start:Prepare - Ensure you are using Scenes for 3D and that they are connected to your Location Search for an asset or location in CDF. Preview the result to see the 3D scene load automatically. Explore by opening the unified 3D view for full immersion.The preview also supports fully interactive 360 images Pro Tip 💡: Opening the full 3D view from a 360
We are excited to announce the Q1 2026 release of Cognite Data Fusion (CDF). This quarter, our focus is on breaking down technical barriers for Subject Matter Experts and providing a more immersive, high-precision data experience.Empowering SMEs: The New Simulators UI (Beta) Simulators UI (Beta) Immersive Data Exploration & 3D Context Chart - Activities 3D - MiniMap 3D - Experience in Search Smarter Search & Precision Tools Search - Smarter Results Search - File Upload Records - Unit-Aware (Beta) Atlas AI: Continuity & Control Atlas - Conversation History Atlas - Per Agent Granular Access Control Performance & Readiness Canvas - Performance 3D - Browser Caching Diagram Parsing - Tag Detection Transformations - Full Metrics in Run History Looking Forward: Production-Grade Tailored SolutionsEmpowering SMEs: The New Simulators UI (Beta)We are transitioning from a "Code-First" to a "User-First" approach for industrial simulations. Feature Problem (C
Hi everyone!We know that for an end-user, finding data shouldn't feel like a "needle in a haystack" mission. Last summer, we launched Per-Project Search Configuration, and if you haven't set it up yet, your team might be missing out on a much cleaner experience.As a Project Admin, you can curate what your users see when they sign in to Search. Instead of a generic view of data that maps 1:1 to your detailed data model definition, you can hand-deliver the most relevant data. Why configure your categories? Instant clarity: Define exactly which columns appear first. No more side-scrolling to find the "Status" or "ID." Relevant filtering: Hide the noise. Display only the filters that actually matter for that specific category. Context at a glance: Tailor the "Properties" card so the most crucial metadata is front and center. Quick guide: Check access: Ensure you have appconfig:read/write and app-scope = Search. Your users also need appconfig:read to make the config take effect for them
Understanding the inner workings of your data pipelines is key to taking action to improve performance and debug issues. To give you better visibility, we’ve unlocked the full library of transformation metrics directly in the Transformations Run History UI.Previously, the UI only showed a few key metrics. Now, you can access everything the API tracks-from specific rate limits to granular resource updates-right from the graph.Navigate to the Run history tab in the Transformations UI, and select more metrics as shown in the images below. What’s New?Searchable Metric Selector: Use the new dropdown to find exactly what you need. With the new search bar, you can quickly filter through long lists of metrics if you're working with multiple tables or data models. Smart Defaults: To keep things clean, your most important metrics (like reads, updates, and total requests) are still shown by default. Everything else is just a click away.Identifying Efficiency GainsThis update makes it easier to t
Microlearning videos: Small lessons, big impactWe’ve added a new set of bite-sized microlearning videos focused on simulator integrations in CDF. These short lessons cover key concepts and practical steps, making it easier to learn at your own pace.Simulator Integrations: Core ConceptsDiscover how simulator integrations support optimization and digital twins by connecting simulation tools to CDF, and how these building blocks work together to run and manage simulations effectively.The Simulators API: Key Resources and Data FlowExplore how simulations are created, controlled, and tracked in CDF- from defining models and routines to running simulations and reviewing results and logs.Configuring a Simulator ConnectorLearn how to set up a Windows-based simulator connector so CDF can securely communicate with your simulation tools, including authentication, network access, and service configuration.Configuring Simulator RoutinesLearn how to define reusable simulation setups that control how
We have released a new course dedicated to building reliable, industry-grade agents within Cognite Atlas AI.This course is your starting point for building, configuring, and deploying Atlas AI agents in Cognite Data Fusion. You will gain a comprehensive overview of how agents function, how they connect to industrial data, and how to leverage them for smarter automation and decision-making.This course focuses specifically on how to build agents that adhere to strict operational logic suitable for your use-case and industry standards. We demonstrate how to properly configure tools, select the right models based on reasoning benchmarks, and use the instructions box to enforce standard operating procedures.Key topics covered in this course:Tool Configuration: How to grant agents access to CDF data through specific tools, creating an assistant that genuinely understands physical assets. Model Selection: Utilizing industrial benchmarks to select the right models for complex reasoning and pre