Community Discussions

Need to work on POC where cognite data fusion timeseries can be added as dataset/data source in Azure MLopsIs there any way if this is possible

 Industrial Canvas is the digital workspace for data-driven planning, collaborative data analysis, troubleshooting, support for root cause analysis, operational insights, work pack preparation and even collaborative maintenance planning. It gives industrial teams simple access to complex industrial data, in their language and on their terms. This first-of-its-kind experience for industry allows experts to go from cumbersome manual workflows to a visual, collaborative interface powered by contextualized data and artificial intelligence.With Industrial Canvas, Cognite Data Fusion provides a blank canvas for subject matter experts to creatively think, build, and work with industrial data from all sources. Here are a few examples of what you can solve in a canvas by working collaboratively across several data types: Pulling in all the relevant data when performing a root cause analysis on an anomaly such as loss of containment in a compressor.  I got a well failure, now I can extracted all

Simply ask your Cognite Representative to set it up for you and Industrial Canvas will appear in the Cognite Data Fusion menu.   

We are happy to announce the release of our groundbreaking Industrial Canvas in Cognite Data Fusion where you can easily:Explore and access any type of data in one compostable environment. Work with several data types side-by-side and get all the context that you need for your data analysis.  Collaborate - annotate, share insights with seamless integration into no-code analytics (Charts). Working together, in the same canvas, with your fellow colleagues to solve problems and iterate. Create - work in a canvas like experience, get documents summarization, flexibility on how you are managing the space and find solutions based on data. By having a collaborative workspace, you can do visual data exploration to efficiently analyse a problem or understanding something about the physical asset and the data it is generating. You can perform data analysis, troubleshooting, support for root cause analysis, understand your asset health, do work packs preparation, support for maintenance planning

Dear Cognite Hub community: We are very happy to announce that our Cognite SAP Extractor is now generally available to CDF users!The extractor connects to OData V2.0 endpoints in the SAP NetWeaver Gateway, making use of many pre-built integrations available in S/4HANA and saving considerable implementation time, while also natively connecting to the SAP data you need in a standardised manner.To get started,  download the SAP Extractor from the “Extract Data” page directly from CDF. The documentation, including Server Requirements and how to set up your SAP extractor is available here.We have also prepared a short demo (less than 4 minutes long) showing the steps needed to setup a data extraction from SAP S/4HANA OnPremise to CDF from scratch, including how to find the standard service from SAP, enable it in S/4HANA, configure and run the extractor and then see the SAP data in CDF.   Any feedback is very welcome, after testing the extractor and/or watching the quick demo please make sur

Subscribe to webhookhttps://status.cognite.com reports the health of Cognite's services and products. You can sign up to get email and SMS notifications for status changes and upcoming maintenance for specific products and clusters. You can also subscribe to webhook notifications to integrate with your monitoring systems. You will receive notifications for all components and clusters and can filter the information to fit your needs. To subscribe to webhooks, select "Subscribe to updates" and then the webhook option (<>). Specify the URL we should send the webhooks to and provide an email address if your endpoint fails. The table below lists the product IDs you can use to filter the notifications. For details about the format of the notifications, see https://support.atlassian.com/statuspage/docs/enable-webhook-notifications/ . If you don't know which cluster your CDF project is on, contact Cognite Support or Customer Success. Cluster names and product IDsIf you're subscribing to

Hello Community,We are thrilled to announce the launch of Cognite AI, a comprehensive suite of Generative AI capabilities within our core Industrial DataOps platform, Cognite Data Fusion®.Cognite AI is a first-of-its-kind, hallucination-free, data-leakage-free Generative AI solution that accelerates time-to-value from Generative AI for energy, manufacturing, and power and renewables customers. And the best part is that it is fully open to all partners to create tailored industrial solutions.Cognite Data Fusion® with Cognite AI improves operations by rapidly accelerating cloud adoption and increasing the efficiency of industrial workflows by 10 times.Read the full press release here to learn how we harness the power of Generative AI for industry:https://www.cognite.com/en/press-release/introducing-cognite-ai

Hello Community,We are thrilled to announce the launch of Cognite AI, a comprehensive suite of Generative AI capabilities within our core Industrial DataOps platform, Cognite Data Fusion®.Cognite AI is a first-of-its-kind, hallucination-free, data-leakage-free Generative AI solution that accelerates time-to-value from Generative AI for energy, manufacturing, and power and renewables customers. And the best part is that it is fully open to all partners to create tailored industrial solutions.Cognite Data Fusion® with Cognite AI improves operations by rapidly accelerating cloud adoption and increasing the efficiency of industrial workflows by 10 times. Read the full press release here to learn how we harness the power of Generative AI for industry:https://www.cognite.com/en/press-release/introducing-cognite-ai

Hello everyone! I am Elias, robot enthusiast and Product manager for Robotics and field operations. Join us for the Asset Performance Management Product tour and discover how you can enhance your understanding of your assets while leveraging Cognite's offering to boost your uptime.Watch the recording here: We're eager to hear your thoughts on how robotics can play a role in Asset Performance Management. Share your ideas in the thread below! 🚀

[TL;DR]Cognite introduces user profile functionality to collect user information such as name, email, and job title for all CDF users to improve search and sharing capabilities. Administrators can, of course, disable the automatic collection of user information. The functionality will enable us to provide you with granular access controls, collaboration features, and much more in the future. Initially, we support user profiles for projects using Azure AD for authentication. We will add other identity providers later. For more information about how we handle your data, refer to our privacy policy at https://www.cognite.com/en/policy.- Cognite Product TeamAt Cognite, we strive to provide a seamless and efficient user experience for all our users. To achieve this, we have rolled out user profile functionality and started collecting user information, such as name, email, and job title, for all Cognite Data Fusion (CDF) users. This will enable Cognite, 1st-party, and 3rd-party application b

We are happy to announce that Flexible Data Modeling is released in general availability in the April release. The stability and set of features is at a good state, but will of course be improved over the next months. The early adopter group will then be closed, and all content will be moved into the open community here on Hub.

Would you like to develop an end-to-end, production-ready solution with Cognite Data Fusion? We have a new training for you!The new Cognite Data Fusion Delivery Bootcamp is an intensive 5-day training program focusing on a complete deployment, combining the different steps with DevOps best practices from CDF bootstrapping to solution deployment, monitoring, and operations.Each day explores a different step of the deployment:Day 1: Configuring Cognite Data Fusion and the Azure Active Directory to set up access control. Day 2: Data creating pipelines and integrating data into Cognite Data Fusion. Day 3: Running integrations and calculations in Cognite Data Fusion. Day 4: Transforming and contextualizing data. Day 5: Unlocking the value of data and solving a use case by visualizing data.You can now preregister for the bootcamp on Cognite Academy, where you will find the available dates and an information package.Preregister for the bootcamp on Cognite Academy.Learn more about the bootcamp

 Exciting News!  We are thrilled to announce the launch of a remarkable customer story featuring Aker BioMarine and their incredible journey with Cognite Data Fusion. We invite you to dive in and take a look at the incredible results they achieved! In a nutshell, here are some impressive highlights from their collaboration: 3 million data points were contextualized, unlocking valuable insights and driving informed decision-making 56% reduction in unit cost of operation within just two years, demonstrating the power of optimized processes and data-driven strategies A remarkable 73% reduction in downtime due to improved operations, ensuring maximum productivity and minimizing disruptions2x increase in output with the implementation of cutting-edge machinery, taking their operations to new heights!Want to explore this inspiring success story in detail? Don't miss out on the opportunity to learn more. Simply visit the link below to access the full story:  Link to the Customer Story: Aker B

Hey!In our tooling for Power Analysts we compute synthetic-timeseries for them to evaluate scenarios of flow exceeding a threshold  value.     In the current implementation of  SyntheticTimeseries only Average and Interpolation aggregates are allowed. This leads to scenarios where zoomed out (and down-sampled) views of data computed through the SyntheticTimeseries API displays non-informative values. Consider the example below, where the top image is the un-aggregated addition of two timeseries, and the bottom is with the use of SyntheticTimeseries.  

Hi Community!Check out a recent interview with Cognite’s CTO, @Geir Engdahl, discussing the potential implications of generative AI on asset performance management (APM). The interview covers what ChatGPT is and how it works, its potential human and knowledge worker implications, and what to expect from ChatGPT in the APM domain. Our opinion: generative AI is the breakthrough technology the industry needs to deliver the “iPhone moment.”What do you think? Does ChatGPT have the potential to transform legacy asset performance management processes, and if so, how? @Eric Stein-Beldring   

Hello Early AdoptersMy name is Arun and i work as a product manager for the monitoring and alerting services in CDF at Cognite. We are working towards building a solution that is industry standard and solves all needs going forward in the space of monitoring and alerting. Although we have a beta version of monitoring in charts available today we need your help. We would like to understand how you are doing monitoring today, go through a use case to understand the monitoring user flow and finally validate the concept that we have today with you.The session should only take about 90 mins and we can always split this up into two sessions if that is better. You will get to provide feedback to us early as well as help us build a solution that can help make alerting and monitoring much easier to use and do for your use cases.If you are interested in sharing your thoughts and feedback with us please feel free to leave a comment on this thread.

Monitoring in ChartsHello early adopters! It has been a bit quiet on this group as we have been working on a new monitoring solution in CDF and i can now say that after a lot of hard work monitoring in charts in now available on select clusters in CDF namely az-eastus-1, westeurope-1 and europe-west1-1 (Coming soon).Features:Alerting and Monitoring is a central element in a DataOps platform. This allows users to proactively discover issues with equipment, systems and processes.Cognite Data Fusion provides the ability to monitor data as a core capability. It gives users an easy way to set up monitoring jobs and perform further analysis through Charts and other components within CDF.We have the following features available now:Ability to set up a monitoring job on a time series within Charts Upper and lower threshold capabilities out of the box Get notified through CDF UI and emails Filter and manage monitoring jobs within the charts Filter and resolve relevant alerts Stable and scalable

Dear Cognite Hub Members,We are pleased to announce the alpha release of the Cognite SAP Extractor! This extractor retrieves data from SAP ERP or SAP S/4HANA and sends it to CDF Raw through OData protocol.Please note that this is an alpha version, which means it is not ready for production use. We are releasing this alpha to the Cognite Hub community for feedback and testing. Your feedback is valuable in shaping the future of this extractor, so we encourage you to give it a try and let us know what you think.To get started, you can download the SAP Extractor from the “Extract Data” page directly from CDF. Please see the documentation for installation and configuration instructions on the “Cognite SAP Extractor (Alpha)” page under “Extract Data”.    We would appreciate any feedback you have, including bug reports, feature requests and general feedback. Please post your feedback and questions in the “Data Ingestion [Early Adopter]” category in Cognite Hub.Note that we are actively workin

This guide will take you through the steps of setting up a data streaming job on the MQTT ingestion service using the Pluto API.We will throughout the guide provide paths and bodies for the HTTP requests you will make, but we also have an OpenAPI spec you can download and import to your tool of choice (for example Postman) to ease writing these requests. Core conceptsThere are three main object types when using the Pluto service: A source, which models a source of data outside of CDF. This will represent your MQTT broker. The source holds data such as the hostname (or adress) of your broker, credentials for authentication, etc. A destination, which tells Pluto where to put the data output - for example CDF events or data points in a CDF time series. The destination also holds the credentials used when writing to CDF, which is going to be a CDF authentication session (more on that later). A job, which describes the actual job for Pluto to do. It links a source to a destination. It t

Cognite RevealWe are being told that our models need to be downsampled which is resulting in better performance in CDF but poor quality on the viewer. We have consistently noticed that we are unable to have one large point cloud together in the viewer and also the viewing quality is very poor compared to what laser scanning vendor solutions show. I need some attention on this from Product?Why should we downsample and decrease the density of the Point Cloud? does not appear to be the right thing to doWhy should we chop up the 3D model in pieces?

We’ve made a design prototype for the planned alpha version of a MQTT solution. This is only the first iteration of design and is not fully developed yet, but we hope you can give us feedback on the design and presented functionalities. This way we get to know what works and what doesn’t.Please have a look at the video of the prototype and give us your thoughts. Any questions and / or feedback is welcome!(This is an internal preview. Please don’t share it outside this community.) If you’re interested in giving feedback in person or testing out the prototype yourself, feel free to contact us through this post to set up a quick chat. It can be about what you think of the feature, what you would like to improve, if you’d like to test out the UI yourself, etc. We hope to hear from you!

Hi, I wrote a short article some time ago about how data-driven solutions are playing a critical role in helping companies meet their sustainability goals. Here are some key highlights from the article: Sustainability is becoming increasingly important for companies, who are turning to data-driven solutions to monitor, report, and reduce their environmental impact. Cognite has encountered many innovative solutions that promote sustainability, such as automating greenhouse gas emissions reporting and using robotics to detect dangerous leaks. A large set of sustainability metrics in industrial settings are best managed by real-time calculations, which need to be packaged as trusted data products for consumption. Diligent and accurate metrics are important, but decisive actions matter most. With a solid data foundation, companies can optimize operations and drive positive impacts in sustainability. Cognite Data Fusion enables companies to deliver positive impact supporting their sustainab

The cognite replicator fails to replicate asset data and the behaviour is inconsistent. It worked yesterday and not working today. Note that all resource types like time series, events and datapoints are replicated consistently. I am getting below error while replicating the asset data.Please see attached screenshot for the successful run of the asset replication yesterdayTraceback (most recent call last):  File "/Users/j.subhash.parandekar/oid-replicator/oid_replicator/cognite_replicate.py", line 84, in <module>    assets.replicate(SOURCE_CLIENT, DEST_CLIENT, config=cognite_config,  File "/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/cognite/replicator/assets.py", line 324, in replicate    src_dst_ids_assets = create_hierarchy(                         ^^^^^^^^^^^^^^^^^  File "/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/cognite/replicator/assets.py", line 220, in create_hierarchy    updated_assets = replication

In this post we’ll share with you our thoughts on key areas to focus on to empower you as Domain Experts - frontline workers - to efficiently utilize data and analytics in day-to-day operations. Let us know in the comments what you think!  The direction for Cognite Data FusionCognite Data Fusion (CDF) is an Industrial Data platform, and part of our mission is to ensure that we provide a “batteries included” experience to quickly realize value across our target industries Manufacturing, Energy and Power and Renewables.We want CDF to be the go-to tool for not only Data Scientist and deeply technical roles, but also the Domain Experts that know first hand what the operational challenges are and what the optimization potential is. Over the last couple of months, and in our upcoming releases, you will see a focus on enabling you as a Domain Expert to solve industrial data problems through low-code user interfaces - without assistance from “a coder”.  What sort of industrial data problems ar

User sessions are managed via your IDP. Access token lifetime can vary from 60 to 90 minutes.So once the session expires, the user would normally have to sign-in again. How to overcome this?With the OIDC workflow, it is possible to retrieve a new access token without prompting the user to provide credentials again. This is done by finding a valid access token from cache or by finding a valid refresh token from cache and then automatically use it to redeem a new access token. The diagram below shows the normal OIDC workflow: Below you can find a sample code snippet which uses the acquire_token_silent method available through the class: msal.PublicClientApplication:def authenticate_azure(app): accounts = app.get_accounts() if accounts: print("Taking the token silently") creds = app.acquire_token_silent(SCOPES, account=accounts[0]) else: print("Taking token interactively") creds = app.acquire_token_interactive(scopes=SCOPES, port=PORT) return credsY