Community Discussions

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

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

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

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

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

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

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

“So, what actually is contextualization?” As a Cogniter, this has to be the question we get asked most frequently. From customers, partners, and peers, as well as family and friends.If you’ve asked yourself this question, then I’d highly recommend reading this blog post where @terjelo offers a great (and simple!) definition, as well as a real-world industrial example. Hopefully it’s something you’re able to use when your colleagues ask you more about contextualization! contextualization (noun)Contextualization is the process of identifying and representing relationships between data to mirror the relationships that exist between data elements in the physical world. The result is a richer data model that is greater than the sum of its source systems.

Have a feature request or idea for a new and improved functionality?Then we want to hear all about it! We’re constantly working to improve the Charts product experience.You can choose to either create a dedicated post (topic) in the Charts group by clicking the Create topic button OR simply post a reply below in this thread. Remember to say whether your feature request is Nice to have, Important, or Critical to you and why. Screenshots, sketches, or explanatory videos are also encouraged. 

With our focus on real-world operational value, delivered at the core of mission-critical digital transformation programs, we are proud to announce being the first and only software platform in the world to achieve compliance with DNV-RP-A204, the energy industry’s recommended practice on how to build and quality-assure digital twins. This certificate of cutting-edge industry standard compliance is further a validation that Cognite Data Fusion delivers best-in-class Open Industrial Digital Twins that:Accelerate and scale AI Asset Performance Management solutions with cross data-source insights Connect to physics simulators and deploy physics-guided machine learnings Establish confidence in the data and computational models running the digital twin Enable predictive analytics solutions like scenario planning Deliver intuitive data visualizations that drive agility and valueYou can read more on: Cognite Data Fusion achieves industry-first DNV compliance for digital twins.If you have ques

Why are algorithms and data-driven models only available for the few domain experts who also are fluent in advanced software coding? We certainly don’t believe this should be the case.We are making them available to the rest of the world — particularly to non-coding domain experts.For many years  industrial data scientists have been building smart algorithms to solve  complex industrial problems. They are now available in a no-code drag-and-drop intuitive interface. Liberate your data and empower domain experts the tools to drive impact every day.Cognite Charts includes several data science toolboxes that provide subject matter experts (SMEs) out-of-the-box algorithms to process and manipulate data, conduct root cause analysis (RCA) and develop solutions without having to code.The toolboxes cover basic operations, statistical methods, data transformation, and advanced models. They work out-of-the-box with Cognite Charts, and we will continuously add new algorithms, features, and functi

Hi Community Members! As we grow we're constantly looking to improve our community, and one of the changes you might notice is the new level badges. You can read more about level badges here. We hope you like it, you’ve earned it!    

Hi Digitalization Community!As we grow we're constantly looking to improve our community, and one of the changes you might notice is your new level badge. You can read more about it below 🏅     

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. A challenge to close the improvement loopSolving the current business problems spans three main business processes; reliability, maintenance, and operations, forming an industrial improvement loop. However, it’s  challenging to close this improvement loop due to siloed architectures, siloed tools, and manually orchestrated processes where often excel and paper-based knowledge gets stuck.  Cognite aims to systematically bring these industrial processes together to create a dynamic and optimized asset performance management process that keeps improving.  Unlock your tribal knowledge to complete the APM data catalogueCognite Data Fusion (CDF) ties together unstructured and structured data to make a complete APM data catalog. However, CDF can only do this in conjunction with applications anchored

Hi fellow Community Members! Here’s a quick update on our joint community achievements in a little over a year: 3200 Community Members 2800 Posts 2000 Questions Answered 250 Product Ideas  1100 Badges AwardedTHANK YOU for making our community a special and inspiring place to make data do more for our industries.As we grow we're constantly looking to improve our community, and one of the changes you might notice is your new level badge. You can read more about your new level badge below. We hope you like it, you’ve earned it! 🏅     

If you are curious on how to get the most out of your Cognite Data Fusion subscription, you have come to the right place. This is part of a series of posts where we share some of our experience from working with customers in their journey towards an Industrial DataOps organization. We want to share lessons learned, mistakes made, good practices observed, and observations of pitfalls and risks. This is not the absolute truth, but hopefully a way to spark good discussions around an inherently complex topic!To quickly introduce ourselves, we are @Arjo Oosten, Digital Transformation Leader, winter sport addict and passionate about driving hands-on digital growth strategies and value based decision making, and @Karolina Luna, Solution Architect, cat lover, and passionate about the lifecycle perspective of everything (like solutions and data products).To learn more about Cognite Data Fusion, we recommend this post. Cognite’s Solution SupportWe have presented some models for organization we h