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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.   

Related products:Product ReleasesInRobot

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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Cognite Data Fusion Release: December 2022

The December 2022 release of Cognite Data Fusion contains major improvements in search and exploration of data, 3D and 360 degree image support, charting capabilities, and so much more. Keep reading, or watch the video for a full overview of what we’re delighted to bring you, just in time for Christmas.  Before we dive into the details of the December release, we also recommend our December 2023 Product Tour, where you can see a lot of the new features being demonstrated in real-world use cases. COGNITE DATA FUSION DECEMBER 2022 RELEASE IMPROVEMENTSImprovements to Data Search and ExplorationFinding the data you are looking for in Cognite Data Fusion can sometimes be hard. Based on your collective feedback, we have invested in making this experience a lot better, which comes together in the form of multiple improvements all targeted at making the job of finding the right data in Cognite Data Fusion as simple as possible.Global search is now available across all data types, and you can also search inside documents. When searching, we have added rich mechanisms to filter and sort your search results, making it easy to narrow down on the exact results you are looking for. The table view of search results has also seen an update, making it easier to customize the view and sort the results on different columns. In order to affect this change while ensuring operational stability, we will be enabling some of these features gradually per project over the coming weeks.To complement search and filtering, we have also added a lot of new 3D capabilities to the Data Explorer in Cognite Data Fusion. Using a 3D model to explore data allows you to leverage and understand physical locations and relationships of assets and equipment. We now ship a built-in full-screen 3D experience, where you can view contextualized data like documents, time series, events and images directly from the 3D model. The 3D viewer also supports slicing and measurements, allowing you to focus on the parts of the model you’re interested in, and also to understand the physical dimensions of the actual asset being shown.Easily find the data you need in context across 3D, documents, time series and events. The Data Exploration experience has also seen an overhaul of the user experience, based on your feedback and a desire to make finding data as simple as possible. You can expect further improvements in this area in the February release. Updated 3D capabilities, 360 degree images, point clouds, and moreThese new 3D capabilities are supported by our updated Cognite Reveal SDK, which is now released in version 4.0. It also brings support for 360 degree images, which allow you to create a “street view” like experience from traversing your 3D models, which can be a great way to complement a 3D model with immediately recognizable imagery from the actual site or asset. Support for point clouds is also available in the 4.0 update of Cognite Reveal, with improvements in rendering to make it easier to understand spatial relationships in a point cloud model. We have made it possible to isolate objects when rendering point clouds. This allows you to provide a rich experience when navigating a large point cloud model, adding isolation, color coding and interactive mechanisms for point cloud models. In addition to these major updates, Cognite Data Fusion also now provides native support for the Autodesk Navisworks NWD format. In total, these capabilities add up to providing great support for fully integrating 3D data into Cognite Data Fusion, and leveraging 3D and imagery when exploring data or building applications on top of Cognite Data Fusion. Cognite Charts integrated with Cognite Data Fusion, and event overlaysCognite Charts has been widely adopted by our customers, and has one of the most active communities of users. Previously, the integration between the other tools in the platform and Cognite Charts has been suboptimal: Cognite Charts had a separate URL requiring a separate login to access causing  unnecessary user friction. As part of our desire to make Cognite Data Fusion a great tool for simple access to complex industrial data, we are delighted to announce that we are bringing Cognite Charts into the main user interface. It is now available from fusion.cognite.com, no separate URL or login is required. This is a first step in bringing a better user experience across the entire product, integrating all of our main platform tools in one place. Charts also comes with a major feature update: you can now view Events in Cognite Data Fusion as overlays to a chart. Combining events and time series charts is often critical to understanding the correlations that are key to effective analysis and troubleshooting.  Make it easier to onboard data into Cognite Data FusionContinuing on a theme from past releases, we have made several improvements to the data extraction capabilities of Cognite Data Fusion. It is now possible to browse extractors by source systems - this allows you to find tailored components and recipes based on the actual source systems you are connecting to. To complement this, we will be investing in writing up more of our own experience and best practices when it comes to data onboarding, so stay tuned for more updates on this topic here on  Cognite Hub and our documentation.In addition, we added three extractors specific for well related data in the Oil & Gas sector: Cognite WITSML extractor, Cognite EDM extractor and Cognite Studio for Petrel extractor. This allows our users to withdraw data from highly used sources, and make it available through CDF to complete advanced well delivery workflows.  Data Management - Add Data Catalog to Cognite Data FusionA cornerstone of a scalable DataOps Platform is the ability to create, manage and monitor a large number of data products from the platform. With the upcoming general avail ability release of our Flexible Data Modeling capabilities, this will become even more important. To take the first steps in providing an improved data management experience, we have shipped the first iteration of a data catalog inside Cognite Data Fusion. Expect this service to mature into a more holistic offering for understanding, exploring and managing data products in the course of 2023. API & SDK Improvements, Japanese Language supportOur Python SDK has seen a major upgrade - the version 5.0 release focuses on performance improvements when accessing data points from many different time series, and brings functional parity between the Data Points API and the SDK. For most users, the 5.0 upgrade should be a drop-in replacement for the current version of the SDK.We have also added cursor support to the time series APIs - making it easier to navigate and retrieve large sets of time series data points, and bringing API parity with the other data retrieval APIs of CDF.Finally, some love for our Japanese users: Document search now ships with improved support for Japanese documents.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. Stay tuned for more news and product updates as we move into 2023.Read the December Release Documentation    

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Cognite Discover Release 1.35.0

The Cognite Discover version 1.35 is ready and available. Enhancements Add report button in NDS/NPT/3D detail screen to open report menu Stick Chart Add rig name in stick chart view Add total days next to wellbores name in stick chart view Total depth is shown for each wellbore in green on the Casings plot. In 3D View,  Casing size for OD and ID displayed in fraction for casing details and 3D View. Casing info on card at the bottom left with Outer Diameter or OD Inform users that only NPT and NDS events along the trajectories are plotted. Maximum Inclination angle range for well characteristic filter correspond to data Improved speed in author filter for documents Update on Equivalent Departure equationStick Chart with casing along with Total Depth in green, FIT and LOT data, NDS events and trajectory information Fixed Bugs Stick Chart  resolution of issue observed when in meter unit for leak off test (LOT) and formation integrity test (FIT) values when moving from measured depth (MD) to total vertical depth (TVD) Resolution of issue observed when switching from MD to TVD related to duplication of some casing elements for some Gulf of Mexico wellbores PPFG and Geomechanics show curves and LOT & FIT Issue reported for Raven field selection has been resolved with viewing several regions for one specific field. In general 1 field should correspond to 1 region. In this case, due to data issues, 1 field has 2 regions. The front end now manages the situation of 1 field and multiple regions. 

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Power Market Operations v1.0

Happy to announce that we have completed the first release of Power Market Operations and with that v1.0 is available. Power Market Operations has been built as a co-creation project with two partners within the Norwegian Hydro Power Production space. Customers can now apply DataOps to their Operational process for market analysis and market participation. With this release, the product has been made available for other Trading Entities operating in the physical Power Markets. Facing uncertainty around development of both market mechanisms and price drivers, we believe Power Traders will benefit from systems that provide a high degree of speed and automation as well as a flexible and agile way of being able to change both processes and models to ensure that opportunities can be captured as and when they occur.   v1.0 of Power Market Operations enables you to:  Fully automate the Day Ahead auction participation process from pre-trade analysis to optimization and matrix generation.  Automatically generate both partial auction matrices and total auction matrices based on optimization results through a multi-scenario approach.  Detailed view of price scenarios provide quality assurance of output.  Run several auction matrix generation methods in parallel and benchmark the different methods against each other, the theoretical best and the submitted method.  Re-run the whole process upon the event of changes in input data with optimized duration. Export functionality in the UI and through API. Monitor process runs and dig into details through Cognite Data Fusion. Let us know what your thoughts are.The team will carry on developing new features and are now focusing their time expanding the product to other physical power markets. Future releases will be communicated here. Stay tuned!     

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Cognite InField 10.17

Hello everyone! The InField team is happy to share that InField 10.17 is out now! 🎉In this version of InField, we introduce a few new features and improvements, so let’s jump straight into the good stuff! Filter columns in the revisions tableYou can now filter the different columns for work plans on the Revisions page to quickly find or hide work plans. Your InField admin can set this up in the InField configuration. Note that the Revisions page only appears if your source data comes from SAP. View parent-child asset hierarchyIf you're doing maintenance or inspection work and want to find equipment linked to the asset you're working with, you'll now find a parent-child hierarchy in InField. This functionality is available if you run InField from a desktop or a mobile device.Click the Search field on the Overview page to see equipment labeled with parent and children under the Hierarchy section. When you start to type in the Search field, the search result will appear at the top of the list, and the Hierarchy is moved to the bottom to bring focus to the search results. The new functionality is available on both desktop and mobileIf you're the InField admin, you'll find the settings for adding the filters under Work order by revision field mappings on the Work plans tab in the InField configuration in Cognite Data Fusion.  More area context in 3D models on mobile devicesIf you’re using InField on a handheld device, you'll now see more context of the surrounding areas around a tag when you view 3D models on a mobile device.On behalf of the InField team, we hope that you will enjoy this release – and feel free to reach out with any feedback you might have!Nicklas / Designer @ InFieldInField updates automatically to new releases, to make sure that you always have the latest and greatest version. Remember that you can always find the latest news about InField in our “What’s new?” section for InField on https://docs.cognite.com/infield/.

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Cognite Seismic Service [Limited Availability]

Hello we have very good news for you, Seismic Service reached Limited Availability. What does it mean for you? A more mature and resilient Software as a Service offering supported by Cognite, and only one step away from being general available. In this particular case the main difference between Limited and General availability relies on the specific cloud support vs a cloud agnostic offer. Why was the Seismic service built? Because seismic data is a key asset for many companies in the Oil and Gas industry, and it represents a big portion of the data a company might own. The reason for this is that seismic data by nature is very large and complex to store and access quickly. In Cognite, we built the Seismic Service that allows you to store data in the cloud, search for a particular seismic line and stream it in seconds. All these functionalities are powered by CDF. Seismic Service enables you to:  Have centralized access for 2D and 3D post stack seismic data Full control on who access the data through entitlement management Cut and download on demand Smart resource usage during data ingestion The Seismic Service provides full flexibility to build your own workflows to manage your seismic data on top of CDF, by exposing it through a Python SDK and a GRPC API. Feel free to let us know if you think this service might be a good fit in your business or if you have any questions related to it. On behalf of the entire Seismic team, we hope the service is beneficial to all of you.  Elka Sierra - Group Product Manager for Subsurface (Oil & Gas vertical)  

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Cognite Data Fusion Release: October 2022

Images contain essential information required for optimizing operations. This release of Cognite Data Fusion (CDF) introduces image and video management, where you can upload, organize, and explore the image and video data and add annotations to the images. With the new image contextualization API, you can detect assets tags, text and people using industry-relevant detection models.We've also made it easier to work with the data flow from a source system into CDF with the option to create, edit, and troubleshoot the extractors' configuration files in the CDF user interface.Read more below or watch the videos to learn more about this and other improvements in this release. Image and video management​Images contain information such as the time or location of a photo, a number on a tag, or rust on a pipe. Use the new Image and video management tool to upload and enrich images and videos to CDF. Then, organize and explore your images and videos in a list view, gallery view, or on a map and add or review annotations to the images. Read moreUsing the Vision API and the Python and JavaScript SDKs, you can find data based on visual content and link images to assets by analyzing the images with detection models, such as asset tag detection, text detection, and person detection. The person detection model protects privacy and complies with GDPR. Create and edit extractor configuration files in the CDF user interface​The Cognite extractors connect to source systems and push data to CDF. When you set up or want to change the extractors, you can now create and edit the configuration files to fit your requirements on the Extraction pipeline page. This will reduce the time and effort spent accessing the configuration file on the extractor's host machine and make it easier to iterate and deploy the configurations settings and investigate extractor run issues. Read moreWhen you're ready to apply the configuration to a production environment, we recommend setting up remote configuration files stored in the cloud using versioned files and continuous integration systems, such as GitHub Actions, or directly with the CDF API. Read more Point cloud visualization in 3D models​With improved point cloud visualization in the 3D digital twin models, you'll find the rendering of objects clearer, more uniformed and with higher fidelity. This will make it easier to distinguish which object is in front and which is in the back when looking at digital twins. Place measurements in 3D models​Use the Cognite Reveal SDK to measure simple point to point distances in 3D models by clicking to- and from-points. For example to fit a new piece of equipment in a designated location. The default measurement unit is meters, but the tool provides callbacks to allow configuring the unit.Historic time series​The CDF time series service now allows data points starting on 01.01.1900T00:00:00Z (1 January 1900), specified as milliseconds since the epoch. This means you can import a more complete time series history to CDF. Time should be specified as a negative integer value for data points prior to midnight on Jan 01, 1970, and as positive integer values for data points after.

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Cognite InField 10.16.0

Another week, another InField update! InField 10.16.0 has just been released 🎉 This release introduces two new features: value ranges and alarm limits for time series, and additional input types for gauge readings!View value ranges and alarm limits for time seriesInField now displays value ranges and alarm limits for time series if this is set up in the source system that streams data into InField.You'll see the alarm limits as labels on time series on the Trends page and listed on the Properties card on the Overview page. The alarm limits are sorted as LL (Low, Low), L (Low), H (High), and HH (High, High). You can show or hide these values with the Show alarm limits button.The value range is displayed on the Time series card in the sidebar on the Trends page. Alarm limits and value ranges are available on both desktop and handheld devices.Notice the new labels with alarm limits and rangeAdditional input types for measurement readingsIf you're setting up or editing existing templates for routine round checklists, you'll find more options for how the checklist users can enter measurement readings. In addition to numbers, you can now set Low, Normal, High, or In, Out, Up as a measurement reading values: You'll also see that the checklists reports show these measurement readings in the Value column. We are always listening to your feedback, and we would love to hear how we can make these two new features even better – feel free to get in touch! 👍🏻In addition to these two new features, we’ve also removed invalid documents – documents that are set with workflow status Void or Superseded are no longer available in InField.Let’s end this release note with a quick InField tip! 💡 Did you know that you can open a checklist directly from a work order? Simply select an open work order, navigate to the “Objects” tab, and click the “Open as checklist” button.That has been it for now – on behalf of the entire InField team, we hope you enjoy using InField and have a great day out there 🚀 Nicklas / Designer @ InField InField updates automatically to new releases, to make sure that you always have the latest and greatest version. Remember that you can always find the latest news about InField in our “What’s new?” section for InField on https://docs.cognite.com/infield/.

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Cognite InField 10.15.5

Hello! It’s Nicklas from the InField team here to share a bit of good news: InField 10.15.5 has just been released 🎉Based on feedback from users of InField, our developers took some time to squash some pesky bugs with this version of InField. Two related bugs were causing problems for users on Apple iOS devices (such as iPads):Checklist items set to OK on an iOS device did not appear as complete when the items were synchronised with a desktop Checklist items added on an iOS device disappeared if you refreshed the page on the deviceIt took a bit of time to diagnose the cause of the issues, but we narrowed it down to connection issues between the iOS device and the InField database – they should now be fixed! A big thank you to our eagle-eyed and diligent users who reported these bugs! 👍🏻We also added a nifty little keyboard shortcut in this release. This update helps the users speed up the process of deleting multiple archived checklists by selecting a checklist under “Archived checklists” and pressing the Delete or Backspace key on the keyboard.Speaking of shortcuts, let’s end this release note with a quick InField tip! 💡 Did you know that you can set a task to OK just by holding down on the radio button for a second? It saves you a click!Feel free to let us know what you think about this latest release in the comment section below.On behalf of the entire InField team, we hope you enjoy using InField and ave a great day out there,Nicklas / Designer @ InFieldInField updates automatically to new releases, to make sure that you always have the latest and greatest version. Remember that you can always find the latest news about InField in our “What’s new?” section for InField on https://docs.cognite.com/infield/.

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Cognite Data Fusion Roadmap - August 2022

In the first half of 2022 we have delivered some powerful capabilities to Cognite Data Fusion. Based on your feedback, customer insight and our strategic priorities, we shipped new functionality like no-code data analytics tools and convenient hosting of Python models, and expanded capabilities in data onboarding, 3D, and transformations. So far this year we've delivered on 9 of the ideas you've given us through the community. In addition, 23 of your ideas submitted in the community are either under construction or planned for development, worth a total of 149 votes from you and your peers. Thank you for your valuable contributions so far! This post is a summary of our main areas of improvement going forward. The main themes of Cognite Data Fusion for the next period are:Improve the User Experience. Invest in a more holistic product experience, with improvements for developers, data scientists and domain expertsStreamline data onboarding. Great first experience when implementing Cognite Data Fusion - with delightful and fast onboarding of new dataEmpower the builder. Reduce the cost and complexity of building solutions inside and on top of Cognite Data Fusion Roadmap Highlights Model your own industrial realityWe aim to increase the flexibility in Cognite Data Fusion’s data modeling capabilities, enabling you to: Scale your digital solutions across plants and sites by abstracting the underlying variations across systems into a single, stable data representation. Autogenerated SDKs provide an accelerated path to developer productivity Model the industrial reality the way you understand it, and according to your industry domain language and standards. Based on your own company standards, or international standards such as CFIHOS, ISO, CIM, etc. Easily build, manage and version data models that power your solutions both in a collaborative user interface – or deploy as code for version control and traceability Understand and find the data you need We will expand the data exploration experience in Cognite Data Fusion with enhanced search and filtering capabilities  Powerful search for documents with automatic classification and filtering based on metadata and information extracted from within the documents  Incorporate visual data and 3D to visualize, navigate and focus search for contextualized data. Traverse the knowledge graph to understand the structure of your data Improvements to Access ControlSecurely share data with customers and partners for collaborative scenarios with enhanced granularity on data access control with identity based access control with row-level security 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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Data Explorer Release: Cognite Data Fusion

In the last months we released several improvements in Data Explorer, Cognite Data Fusion UI. This is a first release post dedicated to Data Explorer and more will come. We have continuously releases and planning some exciting features in the following months so stay tuned :). We are revamping the whole user experience and we are really happy to get your feedback as we iterate. Please share your feedback and submit requests, we are constantly checking them out and integrate them in our product development.  New features:The search bar is moved to the top of the page and displays the search results count on resource types. Search improvements for Files name: better ranking by bringing the best matches first and adding support for partial match search for file name. You can reset your filters, and a red badge indicates that filters are applied. You can also collapse the More filters section. We've improved the navigation when you search for a tag in an engineering diagram, such as a P&ID. You can also choose to see the initial P&ID without the hot links by using the “Hide annotations” checkbox. When using time series, the Time Zone info is now available at timestamp hovering. Files are grouped by their document type on the Files tab. And it’s easier to distinguish the file types as now there is a specific icon and the file type name is more readable. You can reuse any Search and Filters you have applied. Simply copy the URL and share it with your co-workers. You can now sort in the metadata tables. When using relationships, there is a new column added which specifies if the resource type is a source or a target in a relationship. Fixed bugs:The search criteria you enter in the Search bar are now kept when you toggle between the different tabs in the explorer. On the Files > File details tab, you can scroll up and down the list of metadata to find what you're looking for. We've added a notification to let you know that you cannot upload files greater than 5GB. Now it’s possible to download metadata with data points for a given timeframe. The applied boolean filters are now showing up on the filter button when closing the side panel. When selecting the time frame, in the Data picker, the selection is applied immediately, the “Update Date” button is being removed. When the file is deleted manually, previously, the UI was giving an error - the error is now fixed. Infinite scroll is now working when grid view is selected. Renaming the tab “Children” with “Hierarchy”. Displaying when the root node is without children and the root nodes with children are displayed properly in the hierarchy. Relationship count is fixed and all relationship labels are visible. Various styling issues are fixed. 

Related products:Product ReleasesSearch and Data Exploration

Cognite Data Fusion Release: August 2022

Cognite Data Fusion (CDF) makes data do more. This release focuses on rapid, reusable, and scalable industrial data science by introducing new code and non-code solutions. Read more below or watch the videos to learn all about the improvement in this release. Cognite Charts​Cognite Charts is a graphical user interface that lets domain experts explore data and trends and perform troubleshooting and root cause analysis. No programming skills are required to use Cognite Charts. Read more Cognite FunctionsWith Cognite Functions, you can deploy and host Python code for additional calculations and models using the data in CDF. Cognite Functions offers Python functions as a service, reducing the effort and expertise needed to deploy solutions using CDF data. Model data in your programming language and according to your company or industry standards, then call the code on demand or schedule regular runs. You can deploy Cognite Functions using the Cognite API, the Cognite Python SDK, and the CDF user interface. Read more Improved Transform data page​CDF Transformations has a new user interface to guide you through the process of transforming data from the CDF staging area to the CDF data model. The new interface is fully backward compatible with existing transformations. Read more.Improved Extract data page​The improved Extract data page makes it easy to find your best fit extractor and the installation files. You'll also find links to the Cognite Python and .NET utils packages and SDKs to get started creating a custom extractor. Read more.Improved Explore data page​Files are grouped by their document type on the Files tab. The search bar is moved to the top of the page and displays the search results count on resource types. You can reset your filters, and a red badge indicates that filters are applied. You can also collapse the More filters section. We've improved the navigation when you search for a tag in an engineering diagram, such as a P&ID.New Annotations API​CDF can detect references to tags and assets in engineering diagrams, documents, and images. The detections are often called annotations. The new Annotations API introduces strict schema validation to avoid invalid annotations and a well-defined flow for suggesting, accepting, and rejecting annotations. The API also enables third-party applications to enrich documents in CDF with custom annotations. Read more.Ensure geospatial data integrity using data sets​The geospatial endpoint is the entry point for resource types enabling storing and querying item collections with a geospatial nature. You can now use data sets to document and track data lineage for the geospatial features and feature types. Read more.3D models​You can now upload 3D models in IFC open file format to CDF enabling using CDF to process and host Building Information Models (BIM). 

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Cognite Data Fusion Release: June 2022

​This June release has several improvements for the end-user and the developer.  View more details in complex CAD models​To see more details and better understand the facility, we've improved the visual quality when you view large and complex 3D models.Also, we have improved the 3D processing pipeline and the load performance so that you can load geometry while the camera is moving. Note! To take full advantage of the improvements, you need to re-upload any 3D models processed before March 2022.A better user experience signing in to CDF​Signing in to the CDF user interface can be cumbersome if you don't know the authentication setup in your organization. With the new CDF sign-in flow, you only need to enter your organization's domain name and specify which CDF project you are signing in to. Your organization domain name is usually your company name spelled without spaces or an abbreviation of the name.Add your customer logo to the sign-in dialogs for a more personalized experience.Authenticate your CDF solutions​To allow the developer to focus on solution development instead of setting up authentication infrastructure, it's now possible to authenticate for solutions built on top of CDF without writing multiple lines of code. The @cognite/auth-wrapper is an OpenID Connect/OAuth 2.0 wrapper library written in JavaScript. It helps you retrieve an access token from any IdP that meets the OpenID standard, making it easy to sign in with our JavaScript SDK. Features in the authentication wrapper SDK include:NPM supported auth package Support for multiple auth flows Detailed documentation on how to use the package Detailed documentation on how to navigate key IdPs (i.e., Azure AD)Search, filter, and sort data in the CDF Data explorer​We've polished up the CDF Data explorer to make it easier to find the data you are looking for:You can reuse any Search and Filters you have defined. Simply copy the URL and share it with your co-workers. The search criteria you enter in the Search bar are now kept when you toggle between the different tabs in the explorer. On the Files > File details tab, you can scroll up and down the list of metadata to find what you're looking for. We've added a notification to let you know that you cannot upload files greater than 5GB. You can now sort in the metadata tables. We've fixed reported bugs and general styling issues.Increased number of columns for sequences​​Sequences now support up to 400 numeric columns (up from 200) and 200 string columns. Read more.DirectQuery support for Power BI (Early adopter)​​DirectQuery is a feature in Power BI that enables you to fetch data on demand and build Power BI dashboards with hundreds of time series and thousands of data points. With DirectQuery, no data is imported or copied into Power BI Desktop. Instead, Power BI queries CDF for the data every time you interact with the dashboard.Cognite Data Source for Grafana​The Cognite Data Source for Grafana now supports the CDF relationships resource type. You can fetch time series based on relationships in the Time series from asset tab and filter the relationships on data set, labels, and active relationships based on the time filter selected in Grafana. The new Relationships tab allows you to use Grafana's Node Graph visualization plugin or the new (alpha) custom visualization plugin available at cognite-grafana-relationships-visualization.Templates support (Early adopter)​We've added a new Templates tab to support the CDF Templates feature. Using templates with Grafana allows you to scale your dashboards dynamically when you add equipment. You can enable this feature in the data source settings.Read more about Templates and Early adopter.

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Power Market Operations [Beta]

Context and introductionAs liquidity increases in short term markets and market mechanisms evolve towards net zero targets, the sheer volume and complexity of data in relation to power trading activity has outpaced the capacity for prudent, optimal decision-making.With Cognite's product suite consisting of Cognite Data Fusion and Power Market Extensions, along with expert input from selected partners, we’re building the next-generation software capabilities designed for modern, data-driven power trading processes. The first Beta Version is ready for operationalisationWe are very proud to present the first Beta version of Power Market Operations to our partner customers. We are now entering a phase of stabilization before releasing to PROD and with that the opportunity to scale the product. Stay tuned.The product is relevant for market analysts, data scientists, production planners and traders who would like to improve data operations and power trading processes.The Beta version of Power Market Operations is the first step towards a fully integrated value chain, especially linking analysis with trading activities across all physical power markets, adding capabilities around continuously improving analyses, models and processes in real time on the basis of OOB benchmarking. This version of Power Market Operations is focused on improving the quality of day-ahead auction participation and helping production planners make decisions with a high confidence level.   The product generates a wide sample space on the basis of sophisticated scenarios for the bid matrix and can update the bid matrix based on events, such as price and water inflow. Cognite Power Market Operations uses event driven automation and frequent updates. By reducing the number of manual operations, it significantly shortens the day-ahead bidding process, and provides visibility around performance to enable quality improvement. Hence, production managers can use automated, detailed benchmarking to improve the process continuously.

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Cognite InField 10.12

This is an exciting release of InField that introduces the Sections feature for checklists based on templates.Sections make it possible to create neatly structured templates, routine round checklists, and checklist reports, with custom sections and subsections for logically grouped tasks.Checklist on desktop Checklist on mobile You can add sections and subsections to new and existing checklist templates if you're granted extended access rights to create templates. To create a section, click Create sections in the template creation view. Give the section a title, and move and indent checklist items that belong together below the section element. To create a subsection, drag and indent a new section directly below an existing section.Checklist items that don't belong to a group, you keep as is by placing them outside a section. You can format the section titles according to these guidelines. Select the Example button in the toolbar for inspiration for an example template with sections. FURTHER IMPROVEMENTSThis is the first version of creating checklist sections, and we'll continue delivering updates on this functionality based on your feedback. OPC UA time series dataStream OPC UA time series data directly from the control system to InField. On the Trends page and the Trends card on the Overview page, you'll see these time series labeled with OPC UA: View P&IDs on mobile unitsWe've learned that some users on some assets struggle to open P&IDs on mobile units. You may need to install a 3rd party file viewer for a particular P&ID document format on the mobile unit. Contact your organization's IT support for help with this.

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Cognite Data Fusion Release: April 2022

 Data governance is key to ensuring high quality throughout your data's lifecycle, and Cognite Data Fusion (CDF) has the tools and features to secure that the data meet your expectations. This release optimizes data management by introducing more granular access to data transformations using data sets.Read more about this and the other improvements for the CDF April 2022 release below. We cover the main features in the five-minute video above.  Scope transformation access to data setsProtect access to CDF SQL transformations from ungoverned actions and visibility by associating a transformation to a data set. Users will only be able to see and run the transformations associated with the data sets they have access to.- As a project admin granting users access to transformations, select the data sets a user can see and run transformations for under Scope in the Transformations capability dialog:        - As a user creating a transformation, select the data set you want to associate to a transformation in the Create new transformation dialog. Only users with transformation access to this data set can see and run the transformation.          This feature is also available in the CDF API, Python SDK, and Transformations CLI. Read more about transformations Ingest data into sequence rowsYou’ll now find Sequence Rows as an option in the Destination type field on the Transformations page in the CDF user interface and no longer need to use other developer tools like APIs and SDKs to ingest sequence rows into the Sequence resource type in CDF.        Develop applications using JavaAlready, you can build solutions using Cognite's SDKs. Now, we introduce the Cognite Java SDK to interact with the CDF v1 APIs. The Java SDK is optimized for data publishing and allows you to write data efficiently with the upsert function. The Java SDK covers core CDF functionality, such as contextualization and data extraction. You’ll find all the info you need in the cdf-sdk-java repo, and we have updated the Cognite API documentation  with code samples on how to perform tasks with the Java SDK. Change isStep setting for ingesting time series to CDFWhen you stream time series data points into the CDF data model, the interpolation between the data points is controlled by the isStep property on the time series object. You can now change the isStep property value without recreating and re-ingesting the entire time series.

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