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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.

  • 141 Topics
  • 116 Replies
141 Topics
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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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Practitioner
3 years ago
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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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Practitioner
3 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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Practitioner
3 years ago
Anita Hæhre
Seasoned Practitioner
Anita HæhreHead of Academy and Community
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

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Practitioner
3 years ago
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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
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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

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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 HæhreHead of Academy and Community
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 HæhreHead of Academy and Community
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 HæhreHead of Academy and Community
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 HæhreHead of Academy and Community
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.

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Anita Hæhre
Seasoned Practitioner
3 years ago
Anita Hæhre
Seasoned Practitioner
Anita HæhreHead of Academy and Community
published in Digitalization Community
Maximizing hydropower operations by avoiding the IIoT data swamp: Why data "flow" rate matters

Controlled water flow is the obvious center of all hydropower operations. This is where stored, potential energy transforms into valuable, sustainable power — a source which accounts for more than 1300 GW of electricity produced worldwide.Hydropower operations have been evolving through technology, process, and approach in order to control, optimize, and take advantage of this water flow. With the same end objective in mind — improved operational efficiency and adaptability to compounding energy industry pressures — operators can take a similar approach to data flow and transformation.Read more.

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Anita Hæhre
Seasoned Practitioner
3 years ago
Anita Hæhre
Seasoned Practitioner
Anita HæhreHead of Academy and Community
published in Digitalization Community
Redefining resilience post COVID-19, and why adapting your data strategy matters

In 2020, resiliency has taken on expanded meaning as utility companies worldwide adopt new, evolving strategies for new, evolving norms.Defined as “the capacity to recover quickly from difficulties; toughness,” resilience is usually thought of in relation to the operator’s ability to bounce back from severe weather events and unexpected grid outages. Today, this operational pillar remains as important as it ever was. In August 2020, Tropical Storm Isaias battered the East Coast and caused more than two million power outages. That same month, Hurricane Laura, a Category 4 storm, pounded the Gulf Coast for hours, leaving hundreds of thousands of people without power in Louisiana and Texas. Meanwhile, on the West Coast, California faced new, unexpected blackouts due to an intense heatwave, an overloaded grid and offline generation. Not only are these examples indicative of the pressures to come; they highlight the fact that operational resilience is a moving target, making it difficult to

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Anita Hæhre
Seasoned Practitioner
3 years ago
Anita Hæhre
Seasoned Practitioner
Anita HæhreHead of Academy and Community
published in Digitalization Community
Three things grid operators can learn from professional athletes

Grid operators and professional athletes — on the surface, these two groups could not seem more different. But both can (and should) use a common strategy to boost their performance.In addition to regular skills-specific training, professional athletes embrace the importance of flexibility as a key driver of future success. Building flexibility by stretching after each workout improves range of motion, increases strength and resiliency, and prevents future injury — all delivering the means to compete more effectively under increasingly dynamic conditions.Read more.

390
Anita Hæhre
Seasoned Practitioner
3 years ago

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