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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

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

Cognite's Industrial Digital Academy (IDA), available on Cognite Academy, offers several courses to help you upskill and close any knowledge gaps to understand the value of CDF better.Today, we are eager to present the Data Science Fundamentals learning path we created with Cognite's data scientists. Some of our customers already had a pre-run, and their feedback is making us proud, so we recommend that you try it out. Take this opportunity and learn about data science from an industry point of view. You will be guided through a set of courses showcasing how data scientists solve industry challenges using industrial data.By the end of this learning path, you will: Understand basic principles of data science from an industry point of view Realize the importance of data science workflow Understand the value of understanding the business problem Be able to compare and analyze various data science use-cases  Understand the evolvement of data science, data doers, and citizen data sc

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

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

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. 

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

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

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. 

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