Cognite Partnership and Product Updates

Cognite has been making waves in the industry with its innovative partnership with Siemens. This collaboration will bring together Siemens' expertise in industrial automation with Cognite's cutting-edge data platform to create a more efficient and connected industrial landscape.

One of the key outcomes of this partnership is the development of a new digital twin solution. This solution will enable companies to create a virtual replica of their physical assets, allowing for real-time monitoring and optimization of industrial operations.

The partnership will also see the integration of Siemens' MindSphere platform with Cognite's Data Fusion Platform. This integration will provide customers with a more comprehensive and integrated view of their industrial operations.

Cognite's Data Fusion Platform has been designed to handle large volumes of industrial data, providing customers with real-time insights and analytics. With this platform, companies can make data-driven decisions and optimize their operations for improved efficiency and productivity.

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SLB and Cognite partnership is a game-changer in the industry. SLB's deep domain knowledge combines with Cognite's industrial data operations technology.

Their collaboration optimizes production, reduces costs, and decreases operational footprint. This partnership creates transformational business insights.

Cognite's technology helps overcome operational complexity and accelerates the data journey. Digital solutions and automated workflows are made at scale.

The partnership targets technical limit in production levels for Vedanta. Cairn Oil & Gas has awarded a contract to SLB and Cognite alliance for data-driven production reservoir management solutions.

The alliance aims to digitalize work processes at scale and leverage insights from AI and advanced analytics. This will optimize surface production operations and unlock substantial efficiency gains.

Automation of data capture and processing, operational analysis, and diagnostics are key components of the partnership. These components will unlock substantial efficiency gains for manual workflows.

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Cognite has partnered with SLB to target technical limits in production levels for Vedanta, using data-driven production reservoir management solutions to achieve maximum throughput.

Cairn Oil & Gas, a unit of Vedanta Group, is seeking to digitalize work processes and leverage AI and advanced analytics to optimize surface production operations.

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The partnership aims to unlock substantial efficiency gains for manual workflows through automation of data capture and processing, operational analysis, and diagnostics.

Cognite Academy has also released new training updates, including 5 microlearning courses on Generative AI that introduce key concepts and practical applications.

These courses cover topics such as implementing secure AI solutions, building contextualization pipelines, and exploring real-world use cases.

Cognite Academy has also added new courses on Charts, Canvas, and Cognite Data Fusion, including topics like configuring alerts and notifications, improving Root Cause Analysis, and navigating Cognite Data Fusion.

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Cognite Data Fusion is a powerful tool that helps you get the most out of your installed production capacity and improve the return on your digital investments.

By contextualizing your operational data and deploying the right solutions at scale, you can unlock value and streamline workflows across production optimization, asset performance management, and more.

Cognite Data Fusion provides continuous data access, and the ability to automate and standardize workflows with domain-AI and actionable insights.

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This platform is ideal for technical users of CDF working with data ingestion, contextualization, and solution development, as well as developers, data engineers, and solution architects looking to build scalable, production-ready solutions.

To get started with Cognite Data Fusion, you'll need experience with Python, poetry, and SQL, as well as familiarity with GitHub/GitOps and Microsoft Entra ID.

The All New Cognite Data Fusion Bootcamp is a 4-day intensive in-person training that will guide you through real-world challenges and enhance your technical skills.

You can attend the bootcamp in Oslo or Houston, with various dates available through December 2025.

Spots are limited, so be sure to secure your place today and stay ahead with the latest in CDF.

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Cognite Academy offers a range of courses to help you get the most out of Cognite's products and services. You can find a variety of microlearning courses on Generative AI, covering key concepts and practical applications.

The Quarterly Training Updates on Cognite Academy are a great way to stay up-to-date with the latest developments. Over the past quarter, new and engaging courses have been added, improving the learning experience and building content for the community of customers and partners.

One of the new microlearning series is on Generative AI for industry, introducing foundational knowledge and practical applications. You can learn how to implement secure AI solutions, build contextualization pipelines, and explore real-world use cases.

Cognite Data Fusion Bootcamp is a 4-day, in-person training that covers data foundation, integration, modeling, and orchestration. The bootcamp is hands-on, with real-world challenges and covers data foundation, integration, modeling, and orchestration.

You can reserve your spot today for the bootcamps scheduled in Oslo and Houston, with various dates available through December 2025. Spots are limited, so don't miss out!

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Cognite Data Fusion integrates with PETEX simulators, enabling them to function as powerful Process Twins driven by live, contextualized data.

The integration with PETEX PROSPER simulator is now Generally Available (GA), while the PETEX GAP simulator integration remains in Beta.

This integration allows for real-time performance monitoring and optimization of wells and networks using current, high-quality data.

The GAP Connector is a beta integration that's still in development, but it's already available for you to try out. It's a key part of our efforts to provide robust production-ready tools for our customers.

Development continues on the GAP Connector, alongside the already Generally Available PROSPER Connector. This means you can start experimenting with the GAP Connector and providing us with valuable feedback to help shape its future.

By integrating the GAP Connector with Cognite Data Fusion, you'll be able to bridge the gap between rich industrial data and engineering simulations. This will enable the simulators to function as powerful Process Twins, driven by live, contextualized data.

The GAP Connector, like the PROSPER Connector, allows you to automate the data flow between CDF and simulators, speeding up critical analysis and decision-making workflows.

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We're excited to announce that PETEX Integration is now Generally Available, marking a key milestone in providing robust, production-ready tools for our customers. This integration allows for direct connections between Cognite Data Fusion and PETEX simulators, enabling the simulators to function as powerful Process Twins driven by live, contextualized data.

With this integration, you can accelerate production optimization by automating the data flow between CDF and simulators, speeding up critical analysis and decision-making workflows. You can also enable real-time performance monitoring, continuously monitoring and optimizing the performance of wells and networks using current, high-quality data.

By integrating PETEX simulators with Cognite Data Fusion, you can reduce manual effort, significantly cutting down the time and resources your engineers spend manually gathering, formatting, and updating simulation models. This is particularly useful for organizations that struggle to effectively utilize their rich, contextualized operational data with specialized simulation tools like those from PETEX.

The integration allows you to enhance operational efficiency, empowering your teams to make faster, more confident, data-driven decisions based on accurate, up-to-date simulation results. To get started, explore the documentation for the PROSPER Connector and the GAP Connector, or join the Simulator Integration group in Cognite Hub for more information on implementing these integrations in your environment.

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Removing alpha features from the user interface is a significant update that affects how you interact with the Data Modeling user interface. The features being removed are Population, Smart Suggestions, and Knowledge Graph.

These features were part of an experimental phase and are being deprecated due to careful consideration and testing over the past year. The feature flag for these alpha features will be removed with the Q2 2025 release.

For projects that currently have these features activated, the functionality will no longer be available, and the experimental feature button will be empty after that date. This means you'll need to find alternative solutions for tasks these features previously handled.

New projects or users who have never activated these features won't notice a difference, except that the experimental feature button will remain empty. However, you can still achieve similar experiences to the Population and Smart Suggestions features by utilizing the Transformation UI.

Unfortunately, there is no workaround available for the Knowledge Graph feature at this time, so you'll need to explore alternative methods for achieving the same results.

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We're introducing new rate limits for Cognite Function Calls to ensure more equitable resource distribution and maintain reliable service quality across all CDF projects.

Less than 5% of CDF projects will be affected by these new rate limits, based on current usage patterns.

The new limits will apply to concurrent function calls, with a maximum of 250 running calls per CDF project.

New projects will be subject to these limits immediately, while existing projects will be affected on November 1, 2025.

The HTTP response status code for exceeding the limit of 100 concurrent running function calls per function will change from 400 to 429, aligning with HTTP standards.

Most CDF projects won't notice any difference, as the 250 concurrent running call limit supports typical usage patterns across most workloads.

CDF projects currently exceeding this limit will receive direct outreach from our team with optimization guidance and transition support.

Reviewing function concurrency patterns and considering optimizations like batching or queue management is recommended for high-volume scenarios.

New function call requests will return HTTP 429 (Too Many Requests) upon reaching the limit, signaling clients to back off and retry later.

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Cognite Data Fusion's integration with the PETEX PROSPER simulator is now Generally Available (GA). This marks a significant milestone for production-ready tools.

Development on the PETEX GAP simulator integration continues in Beta. The integration remains available for testing and feedback.

The integration of Cognite Data Fusion with PETEX simulators has been a key challenge for many organizations, as it bridges the gap between rich industrial data and engineering simulations.

We're excited to share the details of our 2025 product release. Our new software will be available on both Windows and macOS platforms.

The 2025 product release includes a revamped user interface, with a focus on improved navigation and a more streamlined experience. This update will make it easier for users to find what they need quickly.

One of the most significant changes in the 2025 product release is the addition of a new feature called "Smart Search". This feature uses advanced algorithms to quickly find relevant data within the software.

We've also made significant improvements to performance, with a 30% increase in processing speed compared to the previous version. This means you'll be able to work more efficiently and get more done in less time.

The 2025 product release is a major milestone for our company, and we're confident that it will meet the needs of our users. With its improved features and performance, it's sure to be a game-changer.

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We've just released our Q1 product update, and it's packed with exciting new features. One of the main highlights is the improved user interface, which is now more intuitive and easier to navigate.

The new UI includes a streamlined dashboard that provides quick access to frequently used tools and features. This should save you a significant amount of time and effort.

We've also added a new feature called "Smart Suggestions" that uses AI to provide personalized recommendations based on your usage patterns. This is a game-changer for many of our users who are looking to get the most out of our product.

The Smart Suggestions feature can be found in the new "Discovery" section of the dashboard. It's a great place to start exploring the many features and tools that our product has to offer.

We've made significant improvements to the performance and stability of our product, which should result in a much smoother user experience.

Data Workflows UI is now generally available, making it easier to build, manage, and monitor industrial data pipelines.

This visual orchestration platform is designed for both technical and business users, allowing them to connect different CDF tasks together and run them in sequence with dependency management.

Data Workflows provides several key improvements over managing individual tasks, including task coordination, enhanced reliability, execution visibility, and mixed task types.

With Data Workflows, you can handle complex sequences of tasks with dependencies, supporting up to 50 concurrent executions and 200 tasks per workflow.

Built-in retry logic, error handling, and failure recovery help reduce manual intervention when individual components encounter issues.

You can track execution history, monitor task status, and debug failures with centralized logging and status monitoring.

Data Workflows currently supports six task types, including CDF Transformations, Cognite Functions, Simulations, CDF API Requests, Dynamic Tasks, and Subworkflows.

These task types cover common industrial data operations, with plans to expand this list as the service continues to develop.

You can navigate to Data Management > Integrate > Data Workflows to begin building your first automated pipeline.