The Cognite Live Product Tour 2023 is just over a week away! This event is our annual showcase of Cognite Data Fusion functionalities – both those that will be released in our upcoming December 6th release, and looking ahead at what is to come throughout the new year. We’ll be driving a discussion with you – our community – about Industrial DataOps and the value of empowering Subject Matter Experts in the industrial organization. We hope you’re looking forward to the event as much as we are! Below is an outline of some of the exciting topics we’ll be discussing. WATCH THE COGNITE LIVE PRODUCT TOUR 2023 RECORDING INDUSTRIAL DATAOPS AND THE SUBJECT MATTER EXPERTIndustrial DataOps is about breaking down silos and optimizing the broad availability and usability of industrial data. Learn about why we are focusing on enabling the Subject Matter Expert throughout 2023 and the two main challenges that SMEs in every industrial sector face. COGNITE DATA FUSION: HIGHLIGHTS OF OUR DECEMBER 2022
INTRODUCTION A digital twin can be one of the most useful, insightful tools to drive industrial innovation. While the digital twin concept is no longer new, the capacity of the term continues to expand based on technological advancement, particularly in the realm of the Industrial Internet of Things (IIoT). Over time, digital twins have morphed to meet the practical needs of users. In oil and gas, for example, the possibilities of condition-based monitoring and predictive maintenance have amplified the need for a digital representation of both the past and present condition of an object or system. Gartner predicts that “by 2023, 33% of owner-operators of homogeneous composite assets will create their own digital twins, up from less than 5% in 2018” while “at least 50% of OEMs’ mass-produced industrial and commercial assets will directly integrate supplier product sensor data into their own composite digital twins, up from less than 10% today.” In the same report, Gartner indicates that
In the spirit of summer reading- here’s a pretty interesting blog post covering 5 emerging challenges in commodity trading. What similarities/differences/additional challenges apply to power trading? Anything missing here?https://www.cognite.com/en/blog/commodity-trading-data-challenges1. Rapid increases in the number and availability of new data sources are accelerating the complexities of managing data and analytics in global markets2. Reliance on legacy systems means participants in high-paced commodity markets struggle to make data relevant and actionable3. Participants in commodity markets need to accelerate their data management and digital development just to keep up with technological improvements4. Existing data solutions in commodity markets are often designed as one-stop single solutions or platforms, with little room to create a proprietary competitive edge5. Continued growth in market complexities will require that IT platforms and data architectures are designed to remain
Hello! I wanted to share a good infographic on how Industrial DataOps enables data product strategies. What is Data Fabric? What is Data Operations? What are Data Products?I was just at a Utility Analytics conference the other week in the US where this was a big topic of discussion- how to embed domain expertise in governed data products through joint ownership between the data product managers and the data product consumers. Several utilities are already formalizing these teams internally into a mesh-based architecture.Power Market Operations is a great example of how a data product strategy can enable smarter pre-trade analytics. Who is already executing a data product strategy?
Already have an account? Login
Enter your username or e-mail address. We'll send you an e-mail with instructions to reset your password.
Sorry, we're still checking this file's contents to make sure it's safe to download. Please try again in a few minutes.
Sorry, our virus scanner detected that this file isn't safe to download.
Check the
documentation
Ask the
Community
Take a look
at
Academy
Cognite
Status
Page
Contact
Cognite Support
