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Connect with fellow digitalization leads on how to leverage Industrial DataOps in your organization. Click the + CREATE TOPIC button in the menu bar to start the conversation.

  • 128 Topics
  • 98 Replies

128 Topics

Alexandra Cretu
Practitioner
Alexandra CretuProduct Marketing Analyst
published in Digitalization Community

We've released the first-of-its-kind Industrial DataOps Book!

Did you know that only one in four industrial organizations extract value from their data? The lack of tools and processes to connect, contextualize, and govern the data often stand in the way of industrial digitalization.   Industrial DataOps is a powerful new way of deploying data and technology to transform an industrial organization. It makes sense of, manages, and extracts value from complex industrial data. And it is is already becoming a driving force in industrial transformations, helping accelerate digital maturity, enabling data teams to deliver more digital products, and realizing more operational value at scale. In a 2020 survey of global companies, McKinsey found organizations that embedded DataOps could see the volume of new features increase by 50 percent because data automation enables quicker development iterations. At Cognite, we’ve released the first-of-its-kind Industrial DataOps book - a guide packed with insights, industry expertise and practical advice on how you

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Alexandra Cretu
Practitioner
2 years ago
Anita Hæhre
Seasoned Practitioner
Anita HæhreCommunity Director
published in Digitalization Community

Join us for Ignite Talks September 21 - 23. Sign up to watch the recordings live, or on demand!ignite talks

We’re excited to host our fourth global conference, Ignite Talks on September 21-23. We’d like to invite you to this virtual hybrid event, which will bring together global leaders and innovators from technology, industry, and government who are dedicated to meet the carbon net-zero 2050 deadline and create a more innovative, data-driven, sustainable future. You can view every session live or on your own time.  The three-day industrial digitalization conference, co-located in Asia, Europe, the Middle East, and the United States, will focus on the innovative technologies that power industries like oil and gas, power and utilities, and manufacturing and enable renewable energy development. You can expect conversations on Industrial DataOps and forward thinking technologies like robotics, artificial intelligence, and data analytics, as well as deep discussion on how to drive profitable sustainability.“As the energy industry reinvents itself and deploys new technologies, we know that data w

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Anita Hæhre
Seasoned Practitioner
2 years ago
ArveV
Practitioner
ArveVPractitioner
posted in Digitalization Community

"So... you want to be a software company?"

 McKinsey Quarterly did post an interesting set of articles recently, regarding the transition and change management when looking into digital services. I believe some of the topic and views could be interesting to reflect upon. Go here to find out : https://www.mckinsey.com/business-functions/mckinsey-digital/our-insights/five-fifty-so-you-want-to-be-a-software-company?cid=other-eml-alt-mip-mck&hdpid=034603b3-3fba-4313-a963-553dca543b0f&hctky=12386931&hlkid=8635b3c5c91d439a8a47f0bf353a4968  

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ArveV
Practitioner
2 years ago
Paulo Botura
Practitioner
Paulo BoturaPractitioner
posted in Digitalization Community

PGS strikes again!

How a DataOps platform can boost improvement in all parts of the business! And this time is focusing on what is most important - HSE!https://www.pgs.com/investor-relations/ir-news-stock-announcements/pgs-digitalization-initiative-improves-crew-safety/https://www.cognite.com/customers_stories/dataops-in-action-improving-vessel-crew-safety One more big shout out to @Cerys James and @Sverre Olsen ! Congratulations for another amazing use case!

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alex.farmer
Practitioner
2 years ago
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Practitioner
Kine ÅrdalPractitioner
posted in Digitalization Community

Neptune Energy: How the pilot enabled collaborative environment in digital well planning

Hi, my name is Kine Årdal, and I have the privilege of being the Customer success manager for Neptune Energy. I’d like to share experiences from our latest project, and hoping to get feedback and hear about similar experiences from you in the community. The project kicked off in April, as a12-weeks proof of concept, where we enabled a collaborative environment with seamless data flow of key well data for well planning.Current workflow: In the current well planning workflow, it is challenging to share data efficiently and reliably across disciplines and collaboration partners. There is no central storage of drilling and well data ready for a digital way of working, and data is often stored in silos. In addition, the collaboration with vendors often relies on manual exports/imports, sharing data on e-mails/ftp, which leads to e.g. unnecessary time spent waiting for data, duplication of data and a challenge to keep track of versions.Result: In this project, the initial Neptune well data m

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A
2 years ago
Alexandra Cretu
Practitioner
Alexandra CretuProduct Marketing Analyst
published in Digitalization Community

Think Beyond Data Lakes: Data Products and Data Value Measurement

There are two discomforting truths within digital transformation across our key industries; energy, utilities, and manufacturing.Digitalization PoCs are commonplace. Real ROI isn’t. Billions are invested in cloud data warehouses and data lakes. Most data ends there, unused by anyone for anything.At the heart of this data-driven value dilemma lies a confluence of challenges, ranging from the technical (How can we best organize our diverse and fluid data universe?) to the operational (How can we create new information products and services?), to the financial (How can we treat data as an asset?), to the human (How can we improve data literacy and ensure digital solution adoption in the field?).Read also: DataOps: A transformative new approach to data ROITo avoid boiling the ocean, we will focus on what is perhaps the most fundamental question all fellow Chief Data Officers and other digitalisation executives need to consider as their Northstar — and in doing so, we will find ourselves on

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Alexandra Cretu
Practitioner
2 years ago
Anita Hæhre
Seasoned Practitioner
Anita HæhreCommunity Director
published in Digitalization Community

‘DataOps is what we do, but it’s not what we call it’

Most people are talking about DataOps as if it’s an idea that emerged in the last 5 to 10 years. But according to Rolf Thu, it’s something Aarbakke, a world-leading mechanical solutions supplier to the oil and gas industry, has been thinking about since the early 2000s. Thu says what’s today known as DataOps has been long in the making — people just didn’t know what to call it. For Aarbakke, it’s been a steady evolution, introducing digital solutions step by step over the years until the company emerged as the “smart factory” it sees itself as today.“I joined Aarbakke in 1989, and the theme throughout my career has been learning,” Thu said. “And what we’re doing now with data is also about learning. We are learning from best practices, we are increasing the competence of our employees, and we are constantly seeking improvements for our factory through better and smarter uses of data.”Can you explain more about how you use the data to achieve more at Aarbakke?RT: With the powerful data

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Anita Hæhre
Seasoned Practitioner
2 years ago
ArveV
Practitioner
ArveVPractitioner
posted in Digitalization Community

Check this out! Energima have built Properate on CDF, awesome stuff!

Hi all,take a look at https://properate.com/, the landing page for Properate. This is the solution Energima have built on CDF. Remember to watch the landing page embedded video :-)Energima is taking full advantage of several CDF services and Properate includes a stack of cool features!  

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ArveV
Practitioner
2 years ago
Paulo Botura
Practitioner
Paulo BoturaPractitioner
posted in Digitalization Community

New PGS use case - Vessel Speed Optimization

The happiest moment in a CSM day/week/month/ YEAR is when we see our customers sharing success cases! Thank you PGS for allowing us to be part of your digital journey! Contratualizations for another fantastic achievement @Cerys James @Sverre Olsen !! 

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Cerys James
2 years ago
Jørgen Lund
Practitioner
Jørgen LundProduct Manager
posted in Digitalization Community

What does it take to succeed with data science and analytics in power trading?

For many operators, power trading remains more of an art than a science that still relies heavily on heuristics and trader intuition. But as markets evolve and deviate from historical patterns, the tools and methods to make smarter trades must adapt in order to maintain or grow profitability and become a sustainable source of competitive advantage.In this webinar, we talk about our experience of integrating data science into forecasting and trading analysis, and how we used Cognite Data Fusion to enable analysts and traders to work iteratively in a data science process across a range of analytical topics within the trading domain. Check it out and leave your comments below! What do you see as the biggest opportunities and challenges within power trading analytics?  

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Jørgen Lund
Practitioner
2 years ago
Alexandra Cretu
Practitioner
Alexandra CretuProduct Marketing Analyst
posted in Digitalization Community

How to scale use cases with data contextualization

If there is one thing we at Cognite get a lot of questions on, it’s contextualization. Not so much what is contextualization (luckily we are getting past that phase now), but specifically on two subsequent topics:How does your contextualization engine actually work? How does contextualization make use case scaling order of magnitude (or two!) more efficient?In this article, we will address both the above questions. We will also offer an ‘executive summary’ on data contextualization and its role in modern data management towards the end for completeness. Dive in!

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Alexandra Cretu
Practitioner
2 years ago
Alexandra Cretu
Practitioner
Alexandra CretuProduct Marketing Analyst
published in Digitalization Community

How to scale use cases with data contextualization

Anatomy of a contextualization engine for AI use case scaling in industry If there is one thing we at Cognite get a lot of questions on, it’s contextualization. Not so much what is contextualization (luckily we are getting past that phase now), but specifically on two subsequent topics:How does your contextualization engine actually work? How does contextualization make use case scaling order of magnitude (or two!) more efficient?In this article, we will address both the above questions. We will also offer an ‘executive summary’ on data contextualization and its role in modern data management towards the end for completeness. Let’s dive in!Read also: The data liberation paradox: drowning in data, starving for context How does Cognite Data Fusion contextualization engine work?First, it is paramount to set some foundations:There is no such thing as the ideal universal data model. Having some pre-defined reference data model (can be based on industry-standard where applicable, or only usi

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Alexandra Cretu
Practitioner
2 years ago
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Practitioner
Lisa Fjørtoft
published in Digitalization Community

(Orign. in Norwegian) Røkke and Lervik's magical encounter with the investor legend from Silicon Valley: How they paved the way for the billion investment

John Markus Lervik in Cognite has been contacted by over 100 VC investors, but he had long warmed up one of the very, very hottest. This article was originally published in Norwegian in Shifter. Read the article here.  It is early morning Silicon Valley, and late afternoon at Fornebu. One of the real seniors in the investor community "over there" has got up at six o'clock to attend a video conference he does not want to miss.TCV top Jake Reynolds has previously led investments in Splunk, Webroot and ExactTarget, the latter now known by a new name; Salesforce Marketing Cloud - but this time he has "traded" Norwegian. On the direct line to the Aker quarter, he can finally tell about something he has wanted to do for a long time - invest in Cognite from Norway.- It is incredibly cool that we have got the world's most competent technology investor as a partner, says founder and CEO John Markus Lervik about the big event earlier this week - when it became known that Norwegian Cognite will r

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L
Practitioner
2 years ago
L
Practitioner
Lisa Fjørtoft
published in Digitalization Community

Cognite raises $150M to digitize industrial operations

Cognite announced it has raised $150 million in an equity funding round led by TCV at a $1.6 billion post-money valuation. Cognite says this investment marks one of the largest funding rounds for a SaaS company in Europe and will be used to expand its platform and support hiring efforts. Read the full article here. 

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L
Practitioner
2 years ago
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Practitioner
David WhitePractitioner
posted in Digitalization Community

How MHWirth Operationalized Their Predictive Maintenance Solution

A new webinar featuring MHWirth and DNV has just been posted in the Events page.Head over and register now to learn  how MHWirth developed and operationalized their predictive maintenance solution using Industrial DataOps and achieved DNV certification.You can find the link here

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D
Practitioner
2 years ago
Anita Hæhre
Seasoned Practitioner
Anita HæhreCommunity Director
published in Digitalization Community

DataOps: A transformative new approach to data ROI

If there is one technology trend aside “AI” that is set to define the 2020s, it is “Ops”. From DevOps to DataOps to MLOps, focus is rightfully put on end-to-end operationalization rather than initial code, data or algorithm development alone. Why does your organization need DataOps?According to Gartner, “DataOps is a collaborative data management practice focused on improving the communication, integration and automation of data flows between data managers and data consumers across an organization”. Forrester defines DataOps as “the ability to enable solutions, develop data products, and activate data for business value across all technology tiers from infrastructure to experience”. Ultimately, DataOps aims for predictable data delivery and change management, using technology to automate, orchestrate, and operationalize data use and value dynamically.  With DataOps, you reduce specialized roles in your data-to-value workflows and enable higher data consumer autonomy and empowerment, th

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Anita Hæhre
Seasoned Practitioner
3 years ago
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Practitioner
Anette HoltedahlPractitioner
posted in Digitalization Community

Do you have processes where data available could be a game changer?

Hi Community! I’m Anette Holtedahl, Senior Vice President Industry Applications at Cognite. My team is passionate about creating software that does magic. Our mission is to improve the everyday work for users and equip you with solutions that enable you to make a greater impact: whether that be in the field, the control room, or in a production facility. You are the main character in our mission, and whether you want to work safer, more efficiently, collaborate better, or become more sustainable, we in the application teams work dedicated to enable teams achieve more or avoid human mistakes.  One example of an application that does this, is InField. InField takes advantage of contextualized data from CDF. With iterative product development we could verify how to optimize the functionality to fit with the core users working with operations and maintenance tasks in oil & gas operations. Last module we launched was support for Routine rounds and the adoption has been incredible - also

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Practitioner
3 years ago
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Practitioner
Lisa Fjørtoft
published in Digitalization Community

‘You can't be green if your bottom line is red’: How Lervik wants AI to transform the business of energyUpstream

When John Markus Lervik co-founded the industrial artificial intelligence company Cognite with Norwegian conglomerate Aker ASA in 2016, the companies set out to solve what they believed was an industrial data problem. Now the Cognite chief executive believes AI is thesolution to the larger issues of industrial transformation and a profitable energy transition. As Lervik told an online audience at the CeraWeek by IHS Markit conference in March: “Digital can make sustainability profitable by enabling cost cuts, improving efficiency and reducing environmental footprint — all at the same time — and in most cases, it comes hand-in-hand.” The energy industry is on the precipice of great change. The digital transformation that was under way is experiencing a Covid-19-induced acceleration and a growing push to transition towards sustainable fuel sources like wind, solar, and hydrogen. As a technology entrepreneur, Lervik naturally sees digital as the answer to the many intersecting challenges

410
L
Practitioner
3 years ago
L
Practitioner
Lisa Fjørtoft
published in Digitalization Community

Six Oslo VCs discuss 2021 trends, deal flow, and regional opportunitiesTechCrunch

Cognite was featured in TechCrunch as Oslo VC's discuss 2021 trends. The article talks about the incredible opportunity in the Nordic region, with Cognite cited as a strong company to watch. Excerpt from the article:Which industries in your city and region seem well-positioned to thrive, or not, long term? What are companies you are excited about (your portfolio or not), and which founders?We see a good variety of exciting companies from Oslo and Norway. Kahoot, Spacemaker, Cognite, and Pexip have been leading the way lately, with new ones like Memory, Tibber, PortalOne, reMarkable, and many others following right behind. We also believe that Norway’s strong roots with industrial companies now seem to move into tech, for example with a highly skilled workforce moving over from the oil and gas industry, as well as really exciting companies coming out of this area — Cognite being a strong example.Read the full article here. 

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Practitioner
3 years ago
L
Practitioner
Lisa Fjørtoft
published in Digitalization Community

(Orign. in Norwegian) They lead Røkke's major software investments: Startups will play a key roleShifter

Shifter has spoken with the two managers who form the backbone of Aker's new software department. They say that acquiring startups is high up on the agenda.  Kjell Inge Røkke recently announced a large-scale investment in software. He outlined a future with dozens of software companies under a separate Aker division called Axis. He told E24 that he has worked on this plan for five years. That is about as long as John Markus Lervik has been in the Aker Group and developed ​Cognite. The company, which collects and analyzes industry data, ​was recently valued at NOK 5 billion​ by Silicon Valley investor Accel. Lervik has also been instrumental in the establishment of Axis.“A lot has been created along the way, but this has existed as a conceptual idea since before the start in 2016,” Lervik said about the new initiative.“The idea behind Axis is to see how people in Norway can build new startups, which can help solve some of the thousands of challenges and opportunities that the industry f

790
L
Practitioner
3 years ago
Maureen
Practitioner
MaureenPractitioner
posted in Digitalization Community

Hey partners!

What are your best practises of sharing?It is proven that when we share, we learn more and grow together!We encourage our partners to share stories, the great stuff you are experiencing with customers out there. @niko (itera), I know you are working on some great  stuff, we are curious to learn more :-)

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Maureen
Practitioner
3 years ago
Anita Hæhre
Seasoned Practitioner
Anita HæhreCommunity Director
published in Digitalization Community

The manufacturing industry has a sensor problem. Here’s how to fix it

Picture this scenario:A building materials company has just produced a fresh batch of cement. To test the quality of the cement, the company then produces a concrete element. Weeks later, once the concrete has hardened, the quality control turns up an issue. The cement wasn’t up to standard.Why wasn’t the issue detected earlier? In this scenario, there wasn’t a live sensor that could predict the quality of the finished product early on in the production process. But even in the cases where sensors do exist, they sometimes stop working — or are never installed in the first place. The manufacturing industry has a sensor problem. To fix it, we need to look at how other heavy-asset industries use machine learning and root cause analysis to produce data-driven predictions that manufacturers can act on with confidence to optimize production and reduce waste.Read more.

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ArveV
Practitioner
3 years ago
Anita Hæhre
Seasoned Practitioner
Anita HæhreCommunity Director
published in Digitalization Community

Operational Digital Twin: How data contextualization provides a complete, actionable understanding of industrial operations

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 industrial IoT. Over time, digital twins have morphed to meet the practical needs of users. In Oil & 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.”1 In the same report,  Gartner indicates that digitalization will motivate  ind

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Anita Hæhre
Seasoned Practitioner
3 years ago
Anita Hæhre
Seasoned Practitioner
Anita HæhreCommunity Director
published in Digitalization Community

The top digitalization trends and opportunities changing the manufacturing industry

Manufacturing companies face an uncertain business environment filled with trade conflicts, fluctuating raw material costs, and evolving consumer demands. This uncertainty is driving business leaders to look inward, where investments in information and operational technologies could bolster their bottom lines. Intelligent, interconnected, and automated factories allow manufacturers to scale and adapt capabilities as they seize new opportunities and respond to changing demands. In this way, new digital technologies deliver tangible solutions for manufacturers facing unpredictable market realities.We took a closer look at the top digitalization trends changing the manufacturing industry. We discovered not only how these technologies transform manufacturing, but how they fit into a workforce management model that future-proofs manufacturing environments and drives long-term business value as well.Read the full trend report here.

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Anita Hæhre
Seasoned Practitioner
3 years ago
Anita Hæhre
Seasoned Practitioner
Anita HæhreCommunity Director
published in Digitalization Community

How to scale use cases with data contextualization

Anatomy of a contextualization engine for AI use case scaling in industryIf there is one thing we at Cognite get a lot of questions about, it’s contextualization. Not so much what is contextualization, but specifically on two subsequent topics:How does your contextualization engine actually work?  How does contextualization make use case scaling order of magnitude (or two!) more efficient?In this article, we will address both the above questions. We will also offer an executive summary on data contextualization and its role in modern data management towards the end for completeness. Let’s dive in!Read the article here.

380
Anita Hæhre
Seasoned Practitioner
3 years ago

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