Digitalization Community

A few quick questions to help with a potential client engagement focusing on generating insights from unstructured docs in file systems:Can we go beyond the 1MB limit to allow OCR, index and search of any free text within the documents. Is this configurable?   LLM/NLP Search: What level of fuzzy or NLP searches are supported on the indexed content of a document. For example could one search for a phrase that isn’t verbatim in the file, but close enough in meaning or spread out within a couple of places within the document.   Automation: I understand we can auto-extract file/folder names and even text from the initial portion of a document to create metadata. Can this metadata be used in an automated entity matching service to automatically relate (contextualize) a new document to the parent field, well, facility etc. Can the same automation work by purely relying on the text within the OCRed document to avoid the human having to categorize into folders and ensuring naming standards f

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👋, 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!

 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

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.

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   

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

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

Hello from the Solutions Portal team!We have a new release coming, which is by far our largest release yet! We hope this release will make it easier toBrowse through your data inside your CDF Project Enable new solutions built on top of CDF Enable new no code solution possibilities  We have a new home screen with new functionality!Any user can now ‘Browse solutions’. Through here, you can view all solutions that Cognite has to offer. If they’re not enabled, a demo can be requested. If you are an admin, SOME applications can be installed through a wizard for free (today, blueprint) and some are automatically installed (Charts).An explorer designed for SMEs. We’ve taken the old ADI explorer, made some improvements based on feedback, and now have an early version out for early adopters.An early version of global search is included also - easily search your way through any CDF resource (with more resources to come!) New CDF application: Blueprint!Blueprint is a no code solution that allows

Digitalization PoCs are commonplace. Real return on investment (ROI) isn’t.So how do investments in digital transformation efforts translate into real value for your business (or company)?We, at Cognite, commissioned a study from Forrester Consulting to examine the potential ROI and business benefits asset-heavy industrial organizations can expect from deploying Cognite Data Fusion. Forrester interviewed six representative customers across our customer base in Oil and Gas, Manufacturing, and Power & Cleantech with experience using Cognite Data Fusion, and found $21.6 million in added net present value at a 400% ROI. Key results of the ROI study include:* $9 million gained through the optimization of heavy machinery and industrial processes* $5.1 million saved through optimized energy use and reduced operational costs* $4.8 million added value through reduced shutdown time* $4.3 million cost reduction by optimizing planned maintenance  Do you want to know what stands behind these nu

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 🏅     

I am the Head of the Services delivery team in Cognite. The team I lead develops and delivers domain use cases based in CDF to our customers in O&G, manufacturing and renewables. I am going to focus here on what are the consequences of corrosion of industrial assets on the economy and the environment, as recently covered in a series of publications (see references section). The economic and environmental cost of corrosion is a significant issue and is much more severe than one could think. While several calculations methods have been used in various studies it is generally accepted that the direct costs of corrosion to the economy are equivalent to roughly 3–4% of a country’s gross domestic product (GDP) [1,2]. The main cost impact is due to the replacement of corroded steel in failing infrastructures (roads, railways, etc.) industrial equipment and buildings. As well, it has been qualitatively estimated that between 25 and 33% of the annual steel production is destroyed once in se

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

Hello, I found very interesting that a lot of the conversation around digital has moved away from “AI will change the industry” to much more elaborate analysis on the importance of data in context and data orchestration/DataOps. This realization is making its way all the way to the board room.A good example comes from the recent conversation between Blake Moret (CEO of Rockwell Automation) and Olivier Le Peuch (CEO of SLB). Both companies have independently decided to partner with Cognite and you can find some of the rationale in their exchange below.Two additional notes from the discussion:There is a vision to move from an equipment centric digitalization to a full asset/system view of what digital should encompass - with automation/closing the loop as a key actuator (see Sensia’s control systems’ role),  The discussion around optimization has stopped being solely about production volumes but now also systematically includes carbon. Source: Partial transcript from Rockwell Automation'

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, wintersport 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. DevOps and Industrial DataOpsBoth DevOps and DataOps have many different def

We have been discussing with one of our customers the need for a course, similar to the excellent Cognite Data Fusion Fundamentals course, but with less of a technology slant. It would be great to hear your thoughts on this and any topics you think this should cover.

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. Outsourcing FTW?As many companies have found, it can be hard to attract the

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, wintersport 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. Knowing which roles you need for your Industrial DataOps organization, as c

Data operations (DataOps) is essential to providing consumers with business-ready, trusted, high-quality data. But when faced with a somewhat different data source, data type, data quality, and data consumer landscape, what are the defining factors that will significantly catalyze DataOps adoption in industrial companies? Join our upcoming webinar with Forrester, and be a part of the discussion, as we unpack the technology behind the DataOps practice. Dive into the topic of data operations for industry and hear leading analysts’ take on:-What is DataOps today? How has it evolved over the years?-How does DataOps adoption affect industrial companies?-What are the challenges when adopting DataOps?-Where do DataOps and MLOps come together? Register here

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. Different types of cross-functionalIndustrial DataOps, like all other Ops mo

Developing, tracking and meeting sustainability goals is becoming increasingly important for companies in the public sphere. Many of them are turning to data-driven solutions to help them monitor, report and reduce their environmental impact. Recent regulations in Europe recognises that Data-driven solutions for GHG emissions reductions are contributing to climate change mitigation (see official site from the European Commission - link) At Cognite, we have encountered many innovative solutions that promote sustainability. Examples include:  Automating the recording and reporting of greenhouse gas emissions in industrial processes. Optimizing energy efficiency at the equipment and system level to minimize scope 2 emissions. Using robotics to detect dangerous leaks. Leveraging operational data to derive the environmental footprint of discrete products. Protecting biodiversity with the automatic detection of birds close to onshore windmills  After analysing dozens of those solutio