Deprecation Notice for AIR and Introduction of New Monitoring Capabilities in Cognite Charts

Hi CDF Users,This is a reminder notice for the deprecation of AIR. The alpha-level maturity monitoring solution AIR will be deprecated on 2023/12/31 and we will no longer provide support for the AIR after this date.To ensure a seamless transition and to provide you with improved monitoring capabilities, we are excited to introduce our new solution in Charts which is in open beta and is now available to all customers.Key Features of Monitoring in Charts:Enhanced User Experience: Monitoring in Charts has a better user interface, providing a user-friendly experience for proactive troubleshooting and root cause analysis. Integration with No Code Calculations: Our new solution allows for effortless integration with no code calculations, streamlining the monitoring process and empowering users to derive insights without the need for extensive coding.Stability and Reliability: Monitoring in Charts is built with stability and reliability in mind.Scalability: Monitoring in Charts is built on a backend API that is better suited for scaling making it an overall better solution instead of AIR as your monitoring needs grow. We believe that the transition to Charts will bring significant benefits to your monitoring needs. We appreciate your understanding and look forward to continuing our partnership with you as we embark on this exciting new chapter in monitoring capabilities within CDF.  

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Early Adopter Product Release Spotlight - October 2023 Release

Dear Community,We're thrilled to share the latest enhancements from our October 2023 product release, exclusively available through our Early Adopter Program! Introducing Data Workflows:Revolutionize your pipeline with our new managed process orchestration service, Data Workflows, integrated within Cognite Data Fusion. With Workflows, you gain the power to seamlessly coordinate and execute interdependent processes, including transformations, functions, requests to CDF, and dynamic tasks, all in perfect order and on time. This service is currently accessible exclusively to our Early Adopters. We're eager to hear your valuable feedback! Join the group and request participation here. Explore Industrial Data with Ease:Empowering industrial users, regardless of technical expertise, our Industrial Data Search feature simplifies the process of discovering relevant data. You can uncover detailed results for your industrial context, and refine your search down to specific site/asset details. Further, you can explore data through multiple dimensions like 3D, AI search, and standard list view, equipped with an array of powerful filter options. Dive in and be part of our Early Adopter Program! Join the group and request participation here.We can't wait to hear about your experiences with these new features! You can find details on the full October 2023 product release here. 

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Product Release Spotlight - October 2023 Release │ Cognite Data Fusion

We are excited to announce the October 2023 release of Cognite Data Fusion! This post covers some of the significant highlights of the release: Enhanced data exploration AI-powered data exploration Manual contextualization of 3D models Saving no-code calculations Monitoring asset health indicators Jupyter Notebooks with Cognite AI Copilot These enhancements will be made available on October 31, 2023. We would love to hear your feedback here on Cognite Hub over the coming weeks. You can also find more detailed release notes on our Documentation portal, as well as the October Roadmap update on Product Updates. This month, we focus on data onboarding. We also want to thank all our community members for your contributions so far. We're eager to continue this collaborative process with you, seeking your valuable input on both existing and upcoming product features. Let's keep this momentum going! Here’s a short video summarizing the exciting updates Enhanced data explorationWe are happy to share our newest enhancement to the search experience within Cognite Data Fusion, furthering our ambitions to deliver easy access to complex industrial data. This feature provides user-friendly search and enhanced context for industrial users, such as engineers, technical experts, and operational teams. You can narrow your search to a specific site - like an individual offshore asset or a processing facility - to make the search results more relevant. The search results are grouped and presented in an industrial context and can be viewed through a list view and a 3D view with a wide set of filter capabilities across all given data types. You can easily change between layered models to see CAD models, 360 images, and point cloud models.   AI-powered data explorationAs an advancement to traditional search and filtering of data models, users can now search using AI. You can toggle on AI and find data by using the example questions or write your own using natural language. You can at any time adjust the generated filters and also view the aggregates as charts and text summaries.   Manual contextualization of 3D models3D models such as CAD or laser scans don’t always contain the required information to link the model to assets, and current workflows require a fully contextualized 3D model to enable you to really benefit from the power of 3D. If you're adding 3D models to Cognite Data Fusion, you can now do manual contextualization of both CAD models and point cloud models in Cognite Data Fusion. The asset links can be reflected in all Cognite applications using the Reveal 3D viewer, enabling users to maximize value capture from applications such as InField and Maintain or any bespoke customer applications built with Cognite Reveal.  Saving no-code calculationsIf you're using CDF to create and run calculations, you can now create, save, and schedule the calculations in Charts. This eliminates the need to create Python scripts and deploy functions. The scheduled calculations can be consumed on external dashboards or used as input to advanced models.  Monitoring asset health indicatorsMonitoring asset health indicators and performance KPIs is one of the key jobs of engineers and subject matter experts when evaluating asset health. We’re now adding the ability to set up threshold-based monitoring in Charts, using raw time series or the saved no-code calculations. You can also enable email notifications to be sent out when thresholds are reached for the monitoring jobs.   Jupyter Notebook with AI copilotData scientists and data engineers can now work with and run Python scripts from Cognite Data Fusion without setting up infrastructure. This is a valuable tool when combining the power of Cognite Data Fusion with external tooling, such as data analytics packages, and when you need to enrich your data using custom logic. Notebooks run in a sandboxed environment inside the browser under the current user credentials, ensuring data integrity.We’re also introducing a code copilot integrated with Jupyter Notebook. By leveraging GenAI, the copilot will help you write and understand code. Code generated from natural language helps you get to value quicker by reducing the need to write boilerplate code or do advanced data analytics. We now support natural language data insights using large language models in notebooks. This allows you to ask questions about data retrieved from Cognite Data Fusion or to generate plots.  You can find the product documentation here Early adopter programsData workflows is a new managed process orchestration service within Cognite Data Fusion. Using CDF Workflows, you can orchestrate the order and timely execution of interdependent processes such as transformations, functions, requests to CDF, and dynamic tasks. The service is only available by joining the Early Adopter Program. Request participation through the group on Cognite Hub. Industrial data search enables industrial users without technical background to easily find relevant data. Search results show the industrial context with the ability to narrow down the search to a specific site/asset, and with several lenses/dimensions of searching and viewing data, such as via 3D, AI search, and standard search with list view and a range of filter capabilities. Please come and join us in the Early Adopter Program. Request participation through the group on Cognite Hub.

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Cognite Data Fusion October Roadmap Update: Data Onboarding

As fall moves closer to winter, it is again about time to provide a short update on the roadmap of Cognite Data Fusion, and share some of the exciting work that is going on in different parts of the product. To avoid overloading you with information, we will split this update into several sections, allowing us to provide more content but in bite-sized chunks that are easier to digest - and to produce. We’ll be submitting a set of updates in the weeks to come, so please stay tuned for more news on other parts of the product. As always, we’d love to hear your feedback, questions and ideas right here on Cognite Hub.Data Onboarding deals with the job of extracting data from source systems, loading it into Cognite Data Fusion, and processing the data to build the industrial knowledge graph. This also includes contextualization, the technologies that enable Cognite Data Fusion to find connections and relationships between data even if the connecting data elements are not obvious, and thus build a knowledge graph which is richer than the data it is created from. A rich connector marketplace, and ease of setting up connectorsThe catalogue of systems that Cognite Data Fusion supports with packaged extractors is ever growing - our goal is to hit 100+ by the end of the year. The list of systems that are coming up is too long to describe here, but you can look forward to both support for new systems such as Aspentech’s Enterprise Historian IP.21, support for a wider range of SAP versions and protocols, as well as significant improvements to existing capabilities for systems like relational databases and Documentum. One fun and suprisingly useful piece of connectivity coming up shortly is the ability to connect directly to Excel and Google Sheets spreadsheets and use these as tabular sources of data. In addition to building a richer catalogue of connectors, we are also working on making it easier to host and run extraction jobs directly in Cognite Data Fusion, whenever the upstream system is reachable from the cloud. Hosted extractors provide a very simple “click and configure” experience, making it very easy to set up new extraction pipelines directly from the UI of Cognite Data Fusion, as well as providing scalable performance and ease of monitoring and operating the extractors over time. Data Workflow Orchestration - streamline and turbocharge your data pipelinesTowards the end of the year, we will be shipping the first release of a new way of transforming and working with data being onboarded to Cognite Data Fusion. We are moving beyond the current capabilities of the transformation pipeline, and introducing the concept of a data workflow, which contains a set of data onboarding tasks (These can be Spark Transformations, Cognite Functions, or many other tasks) that are performed on the data to be processed, either in parallel or in sequence. These tasks can be triggered by schedules, external events or by previous tasks, enabling data workflows to move from schedule-based workflows to being triggered by updates and proceed to execute a set of tasks efficiently and without delay. This will dramatically increase the capabilities, predictability and performance of the data pipelines in Cognite Data Fusion. Not satisfied with improvements under the hood, we also aim to ship a rich user experience for working with data workflows as part of the product. Look forward to the first iterations of this towards the end of the year, and continuing on into 2024.Conceptual designs for data workflow editor Contextualizing engineering diagramsWe are targeting major improvements to the capabilities of Cognite Data Fusion of extracting context and meaning from engineering diagrams, more specifically Piping and Instrumentation Diagrams (commonly referred to as P&IDs). These diagrams are core for understanding system context of an industrial asset. We already support extracting tags from P&IDs, allowing them to be linked to assets (and thus to timeseries data, 3D models and more), but we are now looking to take the next step, and extract more knowledge from the symbols in the diagram. Our goal is to build a tool that allows you to identify symbols, connections and flows of fluids (or gas) in a system. This tool will be possible to train on the particular standards and symbolic conventions used in your company, and will allow for human-assisted contextualization of P&IDs where you can train the system to gradually do more and more of the work. This will unlock new levels of richness in the industrial knowledge graph, and enable new use cases with the unique data that will only be available in Cognite Data Fusion. Look forward to the first updates and a richer contextualization tool for P&IDs early in 2024, with subsequent improvements coming later in the year.  Example engineering diagram showing rich data contextualization Onboarding data from documents using Generative AILastly, no roadmap update is complete without mentioning at least one intiative fueled by the rapid evolution of generative AI. This time around, we’d like to highlight some work we are doing on leveraging generative AI to extract data from documents, and onboard that data into Cognite Data Fusion. This is an application that has many use cases, a simple one being the ability to create a digital representation of PDFs containing equipment data sheets, where the values specified (for things like maximum and minimum operating temperatures, pressures, nominal power consumption, etc) can then be used as actual data (complete with lineage, units of measure, etc.) inside Cognite Data Fusion in things like monitoring jobs, analysis, troubleshooting and data science. In other words, onboarding actual data from a PDF file will feel just as simple as onboarding data from a table in a database. Look forward to seeing the first product releases with support for leveraging generative AI to onboard data from documents in early 2024. If you want to follow our development and shaping of these and many other features of Cognite Data Fusion, use Cognite Hub to engage with us and stay up to date with the latest developments. Cognite Roadmaps are forward-looking and subject to change.

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Product Release Spotlight - August 2023 Release │ Cognite Data Fusion

We are very excited to announce the August 2023 release of Cognite Data Fusion. This post covers the highlights of the release, which will be available to our customers on September 5th, and includes:  Infield - productivity and GenAI upgrades Maintain 2.0 - new version with improved collaboration, productivity, and visualization features Industrial Canvas - collaborative troubleshooting Extended language support across our user interfaces Power BI connectivity - data modeling support In addition, you can expect an updated version of the Cognite Data Fusion roadmap to be shared in September. The roadmap will provide you with an overview of our plans for the remainder of 2023 and well into the next year.We also want to thank all our community members for your instrumental role in shaping this release. Your contributions and collaborative efforts right here in the Product Ideas section on Cognite Hub have been vital in driving the development of our product. Thank you for being the driving force behind our continuous improvement journey! A short video summarizing the release  Infield - productivity and GenAI upgradesToday, field workers mostly use paper-based documents to perform their tasks and gather data, which is both time-consuming and often leads to the data not being captured in any digital format for re-use. Infield now offers creation of digitized checklists with increased flexibility and automation, with all data captured through the application made available in Cognite Data Fusion. This allows for re-use and improvement of data quality. We are also introducing a new Generative AI feature in Infield. You can now use AI to assist you in searching for information in documents, for instance an operating limit for a pump, and get the result in seconds instead of manually scrolling through tens of pages in manuals.AI powered document search & checklist creation in Infield Maintain 2.0 - improved collaboration, productivity, and visualizationPlanners meet several challenges in their everyday work, including collecting and keeping track of which data to use, finding opportunities to execute additional work orders, and optimizing the productivity of available resources. Maintain 2.0 offers users a significantly improved collaboration experience, including sharing and commenting functionality. To improve productivity, work orders can now be mapped to different grid areas in the two-dimensional layout diagrams, in addition to enhanced automation of creating plans. We are also introducing improvements on how to visualize activities, with the choice of highlighting them directly in the plan or Gantt chart itself, in two-dimensional layout diagrams, or 3D models representing the facility. A new overview of resource allocation over time will also help planners and coordinators in optimizing their plans. Sequencing of activities across different lenses in Maintain Industrial Canvas - collaborative troubleshootingThe Industrial Canvas is a no-code tool that revolutionizes data exploration and visualization. It is a collaborative and visual workspace to work across documents, engineering diagrams, sensor data, images, 3D models and more. It gives you simple access to complex industrial data, and allows you to troubleshoot, collaborate and act on insights across multiple disciplines. The latest addition to Industrial Canvas is that users now can leave comments and tag colleagues in the canvas they are working in, which triggers an email notification to the person being tagged. In addition, canvas visibility can now be set to either private or public. This allows you to work in a safer environment with colleagues when troubleshooting and performing root cause analysis, before ultimately opening up and sharing your findings with the broader organization.Commenting, user tagging, and sharing in Industrial Canvas Extended language supportOur most popular user interfaces, Charts, Industrial Canvas, Data Explorer, Maintain, and Infield, are now being made available in up to 10 languages. This will help our non-English language users with more effectively utilizing our product, contributing to faster onboarding and increased productivity. All users can select their preferred language by clicking on their profile in the upper right corner.Language selection in Infield Power BI connectivity - Data Modeling supportOur Power BI connector has been upgraded to now also include data from our recent Data Modeling feature. This enables users to load and filter data from their own customized data models, allowing for much richer and specific representations of their industry facilities, processes, and similar. This data can as before be used in the creation of Power BI dashboards and reports. Power BI dashboard using data from Data ModelingWe know many of you will find these updates useful and valuable. If you have any feedback or ideas, we’d love to hear from you right here on Cognite Hub!  You can find the documentation here 

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Product Release Spotlight - June 2023 Release │ Cognite Data Fusion

We are very excited to announce a brand new release of Cognite Data Fusion. This post covers the highlights of this release coming to our customers on June 20th, and guides you to where you can go to get more details. Please drop a question, start a conversation with peers or give us product ideas here in our community on Cognite Hub.A short video summarizing the release New landing page It can be overwhelming to get started when logging in to Cognite Data Fusion, given that a modern Industrial Data Cloud platform has so much to offer. With all the different possibilities of Cognite Data Fusion, you would prefer to start with a clean and simple landing page guiding you to what is relevant for you. The next time you visit, you will find recently opened tools and recent activities to jump right back in where you left off. This allows for easier onboarding, and useful resources such as documentation, online training courses, support and our community is easier to access.  Industrial CanvasFor early adopters we are introducing a powerful new capability in Cognite Data Fusion. The Industrial Canvas is a Generative AI powered, user-centric no-code tool that revolutionizes data exploration and visualization. A collaborative and visual workspace to work across documents, engineering diagrams, sensor data, images, 3D models and more. It gives you simple access to complex industrial data, and allows you to troubleshoot, collaborate and act on insights across multiple disciplines. A collaborative way of piecing the data together, into context, powered by the industrial knowledge graph.  Extensions to advanced data modelingTo realize the full value of the new data modeling capabilities that was released in April, you need them to extend to the wider ecosystem of Cognite Data Fusion. With this release we are making it easier to get started with out-of-the-box data models. The first one available is CFIHOS, which is an industry information standard that aims to standardize across both operators and equipment manufacturers and suppliers. You can also build operational dashboards and share insights based on powerful industrial data models through updated connector to Grafana. In addition we will start making native data exploration for these new data model capabilities limited available to selected customers.SAP extractorsERP data is an important source of data for solving asset heavy industrial problems, improving asset performance by integrating work orders, maintenance data, asset information etc. to your industrial knowledge graph. Creating and customizing connectors to SAP data can be time consuming and manual. This is why we have productized a robust SAP connector that is available for download and documentation through the Cognite Data Fusion user interface. It supports standard SAP OData interfaces as well as custom OData services built on SAP Gateway across all SAP modules.User profilesEnhanced collaboration in digital tools require that users have profiles where they can store basic information to allow advanced sharing, tagging, commenting and further collaboration features. In order to make this possible, Cognite is making user profiles available in Cognite Data Fusion, integrating with your Identity Provider, creating the foundation to enable advanced sharing and collaboration within the tools in Cognite Data Fusion.In-browser Jupyter Lite notebooks (Limited Availability)Getting started with coding on industrial data can be a big hurdle. Restrictive policies, lengthy setup and configuration including hosting, maintaining and updating over time. This is why we are launching for early adopters in-browser Jupyter Lite notebook Pre-authenticated to Cognite Data Fusion through the user interface. It will pre-load the latest SDK each time you log in, fast and convenient to get started with coding in one click. No time wasted setting up environments, loading SDKs or spending time on authentication. This will also ship with a set of  examples of typical use cases to get started.  We hope you find the updates useful and valuable. We’d love to hear your feedback in the comments! You can find the detailed documentation here

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Cognite Product Roadmap - April 2023 Update

Coming into spring of 2023, we are happy to share an updated perspective on the roadmap for Cognite Data Fusion, and some key improvements to look forward to for the remainder of 2023 and into early 2024. We’re continuing to see great engagement from you in Cognite Hub, your ideas and contributions are invaluable in deciding what to prioritize and improve now and going forward. Since January, we have averaged over 3,000 active users on Cognite Hub per month, and have seen a total of more than 1,600 posts from you. More than 30% of your submitted ideas have entered our backlog or have already been implemented. Thank you for your contributions and support.For an update on the progress of our application suite focusing on Asset Performance Management (APM) use cases, please read this recent press release highlighting some of the key improvements.We have improved Cognite Data Fusion in a lot of different areas over the past six months, but some key areas worth highlighting are: Ship the first iteration of our Data Modeling capabilities to general availability - enabling CDF to speak your domain language, and unlocking a lot of new use cases and a next level of simplicity in working with data in CDF. A wide range of improvements around data exploration in Cognite Data Fusion - global search, better usability in general, richer 3D capabilities (including support for point clouds and 360 images) and an improved document search and exploration experience. A substantial improvement to our connectivity catalog, moving from a few select data extractors and a generic toolkit, towards a rich connectivity catalog with easier setup and management experiences both of extraction and data transformations. As with all parts of the product, none of these areas are considered “done” - as we ship improvements we also unlock new ideas and opportunities to further improve the experience and capabilities of the product. As usual, your feedback is important to us when considering what the next steps should be. Cognite and the Generative AI RevolutionBefore we get into the details of the roadmap, we should call out the most important current trend, and one that is obviously very relevant to industry and data - what is Cognite’s thinking on the AI revolution and the rapidly evolving space of Generative AI and Large Language Models (LLMs)?First of all, we think everything that is happening is extremely exciting, and we might finally be on the brink of unlocking the true potential in the vast amounts of data that we know are the key to solving the industry problems that were at the root of Cognite’s inception. We have already started publishing our thoughts on this revolution, watch our blogs and newsletters for more content going forward. In addition to this, our engineering teams are already actively working on several product features leveraging Generative AI, and as of April 25th, we have made the first one available to customers (challenge: see if you can find it). As we’re looking towards the rest of the year, we think Generative AI will unlock new opportunities in Cognite Data Fusion at several levels: As an enabler for new and significantly improved user experiences. Leveraging LLMs, combined with the deep knowledge graph in Cognite Data Fusion for co-pilots, assistants and sometimes even a fully chat-based interface to your data holds great productivity potential. Expect to see several offerings in this space in the coming months. As an enabler for richer contextualization, combined with the greater expressive power in our data modeling capabilities, generative AI can be a game changer. This applies not only to textual data but also to our ability to contextualize imagery and point clouds. AI will embed itself alongside the existing sources of data and add additional data streams. Analyzing imagery, video and text feeds, AI will be able to generate higher-value events like anomaly detection or object detection. Predictive models and physics simulators are already a known source of input data, but the power of generative AI will be able to supplement these.  Illustration of ongoing experiments on industrial copilot. With that topic covered, let’s move on to other parts of the product and talk about some of the more important developments planned. Data OnboardingIn the area of Data Onboarding, we have three main areas of improvement: Continue shipping more out-of-the box connectors to commonly seen systems and protocols. In June you can look forward to our first version of an SAP connector (also supporting writeback). We’re also investing in making the setup and running of extractors easier, as well as considering how we can open up the connector ecosystem to external partners and contributors in a better way. Improve the user experience of setting up data onboarding - both extractor setup and management, as well as the data transformations. This also includes moving away from schedule-driven data transformations to a more event-driven and flow-based approach. Harvest the experience from users of the new Data Modeling capabilities in Cognite Data Fusion and figure out how the tasks of data onboarding (including contextualization jobs) should fit best with the use of a richer set of data models.  Contextualization and Digital TwinsFor contextualization and enriching data in Cognite Data Fusion, the new opportunities with Data Modeling and AI are an active area of focus, as we have already discussed. You can expect improvements to both contextualizing documents, improved understanding of images and point clouds (identifying equipment and other assets, etc.) as well as horizontal improvements related to usability and automation driven by generative AI approaches.On the persistence side, the key focus for the coming period will be to continue strengthening our Data Modeling capabilities. We will be providing richer capabilities to interface with data (GraphQL mutations, potentially other protocols like OData and SQL), as well as extending the performance envelope of the underlying services. As a guiding statement, we aim to extend the supported performance envelope of the data modeling services from current levels of 5 million nodes and edges to upwards of 50 million  towards the end of 2023. In addition to this, we will be shipping change data notifications both for time series data and data in Data Models, enabling end-to-end event-driven architectures to be built around Cognite Data Fusion. End User Tooling and Developer ExperienceFor our end users, and especially focusing on consumers of data, we will continue the improvements of our data exploration capabilities. Incorporating Data Models fully in data exploration, we are also looking at how we can make data exploration more accessible and attractive to business users - key topics are usability, focusing on relevant parts of the digital twin (site, line, etc.) and incorporating and improving 3D data exploration better.In addition to improving the already existing end-user tools in CDF around exploration, working with time series and alerting, we will also be shipping the initial versions of what we think of as a “digital workbench” for working with all types of industrial data (time series, tabular data, images, 3D and more) to get an overview and solve a wide range of problems. Dubbed the “Industry Canvas”, we hope to launch the first iteration of this concept around summer, and we look forward to sharing our thoughts and getting your feedback. Illustration of Industry Canvas concept under development As for the developer experience on top of CDF, you can look forward to us building on the enabler that is Data Modeling, and leveraging that for a wide range of improvements. Look for extensions to the GraphQL endpoints (most notably support for mutations), developer-facing copilots to increase productivity, auto-generated SDKs, embedded jupyter notebooks for a quick way to get started, and much more. Jupyter Notebooks embedded in Cognite Data Fusion. We look forward to sharing more on these capabilities as they mature and are released. If you want to follow our development and shaping of these and many other features of Cognite Data Fusion, use Cognite Hub to engage with us and stay up to date with the latest developments. Cognite Roadmaps are forward-looking and subject to change.

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Asset Performance Management Release - Cognite InRobot: April 2023

Hi all! We are excited to announce some new updates to our InRobot product that we believe will make your robotics experience even better. Firstly, we have introduced a reports tab which allows operators to view the mission details of the robot. This feature also allows you to view the details of a specific run within a mission, and to get a closer look at the robot's actions, such as a measured value of a gauge or an infrared image of an asset. This will help you gain valuable insights into your robot's performance, and a glance at the health of your equipment. In the image to the left, you see the list of missions, and on the right, the results from a thermal action are shown. Secondly, we have added a connectivity status feature showing when the robot is connected to the Internet. This will help you to identify any issues and troubleshoot them quickly. Additionally, you can view the latency of the connected robot by selecting the robot and hovering over the "Robot connected status". The robot-connected indicator is green when the robot is connected, and hovering over the indicators lets you know the round-trip latency between the robot and the cloud. Lastly, we have added a new feature that allows you to change the location of your robot directly from the home page. Simply hover over the robot's location, select "Edit location" to choose a new site from the drop-down list, and save your changes. This will give you greater flexibility and control over where your robot operates.  To change the location of the Robot, click on the location and change it. Using drag and drop functionality helps the user adjust the  robot map and 3D model alignment.  We hope these updates will improve your robot experience. Reach out if you have any questions or comments, we would love to hear your thoughts. We would also like to invite you to join our Early Adopter Program for InRobot and embark on your journey towards automating your work processes and increasing your operations' efficiency, safety and performance. On behalf of the Cognite InRobot Team, Elias Bjørne 

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Cognite Data Fusion Release: April 2023

Spring is upon us, and another release of Cognite Data Fusion. We’re happy to share the details of the April release with you. Remember, you can always get in touch with us and the rest of the Cognite community here on Cognite Hub, share your ideas and stay up to date with the latest developments in our products. In addition, we can recommend the latest Cognite Product Tour video focusing on Asset Performance Management, and how Industrial DataOps and Cognite Data Fusion enables a new approach to optimizing the performance of your assets.  For the April release, we’re continuing the trend of improving how to find, explore and understand data in Cognite Data Fusion, and we’re also delighted to bring the new Data Modeling capabilities in Cognite Data Fusion to GA maturity, which means that we will be offering the same SLA and operational support for data models as we do for all other data stored in Cognite Data Fusion. Improvements to Search, navigation and 360 images in Data ExplorerBasic search capabilities in Cognite Data Fusion have now been improved, and all data stored in Cognite Data Fusion should now be searchable. Metadata, event types, document contents etc. are now all searchable. To make it easier to navigate the search results, we will show labels indicating why a particular result is shown, and are shipping several improvements to the filtering capabilities to make it easier to narrow down your search results. As always, nailing a search experience that fits every customer and set of data is no easy task, and we welcome your feedback and suggestions for improvements on Cognite Hub. We’re also upgrading the display of time series data in search results, and making it easier to open selected time series in Cognite Charts.  Complementing the data exploration release is an improvement in the performance and usability of 360 images in the Data Explorer. Large image sets caused performance issues and usability problems, and we have now shipped several improvements to make these more pleasant to work with. As always, the improvements here are also available in Cognite Reveal for use in your own applications.On the topic of Cognite Reveal, it is also worth noting that for this release, Cognite Reveal now supports textured 3D models, and is able to render these for an improved and more immersive and usable 3D experience. Please note that this feature does not target models with complex textures, such as photogrammetry models. It is necessary to re-upload old 3D models to Cognite Data Fusion to enable viewing of textured models.  Data Modeling - Generally AvailableWe’re delighted to make the new data modeling capabilities available with our standard SLA and support guarantees in this release. We’ve worked hard to iron out bugs and improve performance since February, and we think the current release is a major milestone in terms of making Cognite Data Fusion adaptable to a rich set of industry standards, representing data for a host of different use cases and making them easier to understand and use for all users and developers.The current release marks a big milestone for us in the maturity of this feature, but we are far from done. For June, we will be focusing on integrating the new data models fully into Cognite Data Fusion, shipping updates to the Data Explorer, Charting and Dashboarding, SDKs and connectors. In addition, you can expect the recommendations for how much data the Cognite Data Fusion can support in user-defined data models to grow steadily throughout the year. Expect a lot of exciting improvements in the time to come, and make sure to subscribe to Cognite Hub for the latest news on the developments.To complement the GA release of data modeling, we have also made a lot of improvements to how data is loaded into Cognite Data Fusion. Transformations are now easier to work with than before, and we are shipping an improved UI with automatically suggested mappings, improvements to the SQL editor and easier workflow for data transformations and mappings between data models.  Improvements to handling of P&ID diagramsP&IDs are a staple of industrial data, and this time we are shipping two improvements to how Cognite Data Fusion handles these. The contextualization capabilities for P&IDs have been improved to handle common shorthands for multiple references to tags, improving the accuracy of contextualization. To complement our search capabilities we are also shipping an automatic document classifier for P&IDs - based on machine learning on large amounts of diagrams, this classifier is able to accurately label P&ID diagrams in a wide variety of formats. This allows you to more easily filter search results and find the right diagrams across all relevant file formats.We hope you find some of these updates useful and valuable. If you have any feedback or ideas, we’d love to hear from you right here on Cognite Hub.  You can find the detailed documentation here 

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Asset Performance Management Release - Cognite Maintain: February 2023

What is the Cognite Asset Performance Management (APM) portfolio?Cognite Asset Performance Management addresses common business problems faced in the asset-heavy industry, such as aging assets and workforce, increasing maintenance costs, and unplanned downtime. Cognite InField, Cognite Maintain, and Cognite InRobot are workflow applications in this portfolio. Read more about Cognite Asset Performance Management (APM) portfolio here.  What’s new in Cognite MaintainBuilt on Cognite Data Fusion, Maintain provides performant contextualized data and a modern interface for your maintenance  planning and scheduling processes. Cognite Maintain is  a planning tool initially created to plan maintenance work orders. The new version of Cognite Maintain helps you plan and optimize plans with any type of activity. Here's a list of the new Cognite Maintain features currently being worked on: Prioritize your backlog Group, filter, and sort activities to show what is important across the multiple lenses. Save your layouts, such as your preferred filter, grouping, and the data you want to show in Maintain Visualize the grouped data  in the Gantt chart to see timelines across all activities. Plan Creation and Optimization   Create plans tailored to a set of activities. For example:  Plans by discipline Plans by a timeframe Plans by location     Use the comparison module compare the activities in a plan to: Activities that occur in the same timeframe All activities in the backlog The comparison module can be used across lenses, such as 3D, 2D, and in the standard Gantt chart/table view.The System level mapping feature  shows how equipment is connected. You can, for instance, use this to find out if other activities related to a system will be affected due to work on a piece of equipment.In addition, you can use the Plan Analysis, and Resource Allocation to determine whether a plan is feasible or not according to your resource constraints. Work preparation and executionWhen you’ve created  a plan, you must make sure that you have all the necessary work preparations done and that the activities are ready for execution: Use the  canvas to see and open all the documents needed for an activity Create isolation boundaries by utilizing the annotation feature in the canvas mode Find the material status for an activity View the site in 3D to make sure you are ready to execute the activity We will shortly announce the release date for Maintain 2.0. Let us know your thoughts in the comments:)   

Related products:Maintain

Asset Performance Management Release - Cognite InField: February 2023

What is the Cognite Asset Performance Management (APM) portfolio? Cognite Asset Performance Management addresses common business problems faced in the asset-heavy industry, such as aging assets and workforce, increasing maintenance costs, and unplanned downtime. Cognite InField, Cognite Maintain, and Cognite InRobot are workflow applications in this portfolio. Read more about Cognite Asset Performance Management (APM) portfolio here.  Built on Cognite Data Fusion®, InField equips your field workers for digital transformation. Cognite InField is built for execution of maintenance activities and operator rounds out in the field, enabling the field workers to be as efficient as possible by making relevant information available everywhere. Here's a list of the new Cognite InField features delivered in the last quarter.  New & improved 3D viewerLoading a 3D model is a heavy constraint on the InField machinery, and you've probably experienced a time lag when you open or navigate a 3D model. We've made substantial changes to the 3D code, and you'll now get much better performance when you open and search in a 3D model, both from a PC and a mobile unit.Turn on and off the new ghost mode option to grey out all the 3D geometry apart from the asset you're currently viewing. This is the only asset that will stay highlighted.Mark remaining task as…Use the new option Mark remaining tasks as... to set the same status for all tasks that haven't already been set with a status. You can do this for tasks within a checklist or a section. Select More options in the checklist or section header to find the menu item. You can also overwrite statuses already set on a task by selecting the checkbox Apply to all tasks in the checklist/section. You can, for instance, use this functionality if your system has a shutdown and you want to skip tasks planned for the shutdown period or if you've worked on all tasks within a section and want to set the same status on all in one go. You'll find this functionality both on a desktop and on a mobile unit.Updated help options and new E-learning courseYou can find more links to useful information under the Help menu.  The Cognite Academy has recently launched an InField e-learning course which is great for refreshing your InField knowledge and getting new ideas and inspiration on using InField. You can watch short videos and test your skills in a demo version of InField. We’d recoomend you to check it out!  

Related products:InField

Asset Performance Management Release - Cognite InRobot: February 2023

What is the Cognite Asset Performance Management (APM) portfolio? Cognite Asset Performance Management addresses common business problems faced in the asset-heavy industry, such as aging assets and workforce, increasing maintenance costs, and unplanned downtime. Cognite InField, Cognite Maintain, and Cognite InRobot are workflow applications in this portfolio. Read more about Cognite Asset Performance Management (APM) portfolio here. What’s new in Cognite InRobotActivate robotics with Cognite Data Fusion. Automate repetitive tasks, carry out remote inspections and automated operator rounds, and keep workers safe by eliminating the need to travel to hazardous locations! The new Beta release of Cognite InRobot sees  a  significant upgrade of frontend and backend changes using the Robotics Services API. Backend highlights The new Robotics Services API makes connections  and control of robots more reliable and easy to understand. InRobot constantly reads the state of the robot  from a data stream. The same goes for checking which user is in control of the robot. All calls to the robot via the API have a response, making it more transparent what is going on and the results of the sent commands. Frontend highlights More automated and simplified interface for connecting to the robot. Visible response messages from the robot and the API. Missions are no longer lost in edit mode if you refresh or change tabs. Most recent missions are listed first   The list missions and create new mission tabs are combined. Opening up an action with PTZ (pan, tilt, zoom) values in edit mode will no longer overwrite the saved PTZ values. Instead, the camera will automatically move to that position. If you move the camera without using the sliders, you can load and save the new position with one click. PTZ values are more user-friendly, using degrees for pan/tilt and zoom from 0 to 100  Cognite InRobot Early Adopter ProgramWe’re thrilled to announce we’ve launched the Cognite InRobot Early Adopter Program. Here you can accelerate your robotics adoption to automate your work processes. You’ll find the group here.   

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Cognite Data Fusion Release: February 2023

Cognite Data Fusion Release: February 2023 We’re excited to share the highlights of the February 2023 release of Cognite Data Fusion. Continuing on the theme from the December release, we’ve made substantial improvements to searching and exploring data in Cognite Data Fusion. We’re also improving our support for document annotations, working with data transformations, and launching a major update of our enhanced data modeling features. For an overview of the release, watch the release spotlight video below.  Before we go into the details of the February release, remember that you can always post feedback and product ideas right here on Cognite Hub. We also recommend checking out our blog for the latest on the trends and thinking that are shaping the future trajectory of our product. Improvements to Data search, Document browsing, and 3D explorationIt's easier to apply filters to your search, filtering on multiple values within the same filter and combining multiple filters to narrow down your search. When you look at the search results, the results view is more customizable, offering you to select, sort, and change the layout of the columns displayed in the search results.When you’re viewing documents in Cognite Data Fusion, we’ve added support for a large range of common file formats, which now display natively in the document viewer. This includes text files, JSON files, spreadsheets, documents, and slides.  You’ll also find a new  option of laying out multiple documents in the same viewer. This is in particular useful when reading engineering diagrams, as these documents often break across pages or documents. Now, you can view them side-by-side to trace the flow of a connection. Using our contextualized engineering diagrams makes it trivial to open and view the next document from a connection exiting the page you are viewing and gives a holistic view of the system. Tip! These views can easily be bookmarked and shared with others to make recall and collaboration easier.Adding and consuming annotations enrich and power up the contents in engineering diagrams and other industry documents. We’re now shipping a unified Annotations API to make it easier to work with these annotations across all documents in Cognite Data Fusion. This will enable 3rd party applications to create and consume annotations, and the annotations will be visible inside Cognite Data Fusion. Over the next few months, we will transition all of our own applications to make use of this API, ensuring consistent views of documents across our entire product portfolio.The final major improvement made to data exploration in Cognite Data Fusion is to add support for viewing 360-degree images in the data explorer. You can view these images  in isolation or in the context of a point cloud or CAD/BIM model, providing a “street view”-experience where you can walk around your site or asset in high-fidelity imagery, making it easy to understand physical details and relationships without physically visiting the facility.  Connectivity improvements - Files and Energy data platformThis release sees the addition of improved connectivity for ingesting files into Cognite Data Fusion. Documents, diagrams, and files are almost always a key supplementary source of information to enrich and contextualize the digital twin in Cognite Data Fusion. Making it easier to ingest these makes it easier to leverage our new exploration and viewing capabilities. We’re now shipping a file extractor that supports local server file systems, several network sharing protocols, like FTP and SFTP, SharePoint, Google Cloud Storage, and Azure Blob storage. The extractor is easy to set up and automatically detects file formats and ensures the proper processing pipeline. We’re also shipping a public Beta version of an extractor for data platforms adhering to the OSDU Open Group specification. Commonly seen in the Energy sector, OSDU data platforms are a great initiative to standardize structure and formats for key data categories. Use the new Cognite OSDU extractor It is now easy to connect to and extract data from OSDU platforms to Cognite Data Fusion, where the data  can be further contextualized and blended into a richer industrial digital twin to enable new use cases and applications. Data transformation - Usability improvementsPreviously, setting up data transformations in Cognite Data Fusion required some knowledge of SQL to express the transformation logic. With the February release, we’re adding a simple drag and drop interface to set up simple mappings between properties without resorting to writing SQL code. You’ll’ get automated suggestions to simplify the mapping process. Writing full SQL is still possible, and the interface now supports auto-completion and numerous other tweaks to make this experience easier. Enhanced data modeling - Beta updateWe’ve written a lot about our new and enhanced data modeling capabilities. February sees us publish what we believe to be the last Beta update of this capability. Based on user feedback from Beta customers, and internal validation, we now think the February update is feature complete. What remains between now and the General Availability  release is additional testing, validation and hardening of the product to ensure we can consistently meet our SLA across the wide variety of use cases we will enable for you. Our enhanced data modeling capabilities allow you to model any kind of industry domain, from well-known industry standard data models to whatever you need to enable your applications and solutions. Read more about these capabilities in this press release.  Cognite InRobot Early Adopter ProgramWe are thrilled to announce we have launched the Cognite InRobot Early Adopter Program. Here you are invited to accelerate your robotics adoption to automate your work processes. You can find the group here, we hope you’ll request to join if this is of interest to you. InRobot is a powerful application that enables you to configure and deploy your robots in an efficient and effective manner. With InRobot, you have the ability to remotely control, plan, and execute a wide range of robotics missions, including the automatic capturing of street views, the execution of autonomous visual operator rounds, and capture data for monitoring conditions of equipment.You get the same benefits from robots using InRobot, like increased frequency and repetition of data capture at your site, in addition, to reduce the number of hours that workers spend in the field, thereby increasing the overall safety of your operations. With InRobot all data is properly linked in Cognite Data Fusion thereby enhancing your understanding your plant and potentially the risk picture. Read detailed documentation here We hope you find some of these updates useful and valuable. If you have any feedback or ideas, we’d love to hear from you right here on Cognite Hub.

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Cognite Reveal 4.0 SDK

We’re excited to announce the release of the Cognite Reveal SDK, version 4.0, which includes new major features and improvements to enhance the performance and richness of your 3D application.The Reveal SDK now supports 360𐩒 images, which allows you to display high-detail views of real-world environments and objects. This feature provides a more immersive visual experience, and the users can see the site in full detail. By placing the images in a 3D context, finding the relevant images and navigating between them feels intuitive, and the users won’t get lost while jumping between images.We’ve also made improvements to the fidelity of point clouds through Eye-Dome Lighting. This technology allows for more realistic and detailed 3D models, resulting in a better overall user experience. Eye-Dome Lighting also makes it easier to get a sensation of depth and to distinguish individual objects from each other.Reveal 4.0 also adds initial support for contextualized point clouds, which enables you to generate high-resolution 3D models of real-world environments and objects. This feature allows you to attach information about equipment in your laser scans, and the users can interact with objects rather than individual points. Currently, there are no user interfaces in Cognite Data Fusion for managing point cloud object definitions. We will work to add tooling to help accelerate the use of these features in the coming months.We highly encourage you to try out these new features in the latest version of the Cognite Reveal SDK. As always, we very much welcome your feedback and suggestions for future improvements. You’ll find more information in the changelog and the documentation.Best Regards,The Cognite Reveal Team 

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