Using APIs, organizations can more easily combine their own internal data. Getty Images

Houston, home to one of Cognite's U.S. headquarters, is the energy capital of the world. But while many oil and gas industry players and partners come together here, much of the data they use — or want to employ — remains siloed.

There's no lack of data. Connected devices are a wellspring of enterprise resource planning data, depth-based trajectories, piping and instrumentation diagrams, and sensor values. But incompatible operational data systems, poor data infrastructure, and restricted data access prevent organizations from easily combining data to solve problems and create solutions.

We understand these challenges because we work alongside some of the biggest operators, OEMs and engineering companies in the oil and gas business. Lundin Petroleum, Aker Energy OMV, and Aker BP are among our customers, for example.

Flexible, open application programming interfaces can address the challenges noted above. APIs enable users to search, filter and do computations on data without downloading full data sets. And they abstract the complexity of underlying storage formats.

As a result, data scientists and process engineers can access data in an efficient manner, spending more time on their use cases and less effort contending with technical details. Using APIs, organizations can more easily combine their own internal data. APIs also simplify the process of using data from industry partners and other sources.

Most companies have slightly different work processes. But common API standards can help a company combine software services and platforms from others in a way that matches its own business logic and internal processes. That can allow the company to differentiate itself from competitors by employing services from the best suppliers to create innovative solutions.

Standardizing APIs across the oil and gas industry would open the door to a community of developers, which could create custom applications and connect existing market solutions. Then more new and exciting applications and services would reach the market faster.

To ensure adoption and success of such a standardization effort, the APIs would need to be well crafted and intuitive to use. These APIs would have to include the business logic required to perform the operations to empower users. In addition, APIs would need to define and allow for the sharing of desired information objects in a consistent way.

Best practices in defining common APIs for sharing data within the industry include:

  • Introducing APIs iteratively, driven by concrete use cases with business value
  • Ensuring all services using the API provide relevant output and insights in a structured machine-readable format, enabling ingestion into the API to ensure continuous enrichment of the data set
  • Making all data searchable
  • Preventing underlying technology from being exposed through the APIs to ensure continuous optimization and allow companies to implement their technology of choice
  • Supporting all external data sharing through an open, well-documented and well-versioned API, using the OpenAPI standard

If oil and gas industry operators define APIs, suppliers will embrace them. That will "grease" the value chain, allowing it to move with less friction and waste.

Operations and maintenance are a natural place for API harmonization to start. Standardized APIs also can enable operators to aggregate and use environmental, equipment and systems, health and safety, and other data. That will accelerate digital transformation in oil and gas and enable companies to leverage innovative solutions coming from the ecosystem, reduce waste, and improve operations, making production more sustainable.

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Francois Laborie is the general manager of Cognite North Americas.

Cognite is opening two offices in Texas. Getty Images

European software company plans first U.S. office in Houston

New to town

When considering entering the United States market, Francois Laborie, general manager of Cognite North Americas, of course considered some of the obvious cities for a regional headquarters.

"Initially, when we talked about the US, people assumed Silicon Valley or Boston, because we are a traditional software company," Laborie says. "But we really didn't consider too long because the customers we work with require a pretty deep understanding of industry."

The Norway-based company decided to bet on the energy capital of the world and has announced future offices in Houston as well as Austin — both to open by this summer. This will be Cognite's first expansion outside of Northern Europe. The company makes data software for industrial businesses — oil and gas being a huge focus, as is engineering, equipment manufacturing, shipping, and more.

"The industrial world is very siloed and closed, and we are changing a lot of things in that world," Laborie says. "In the digital world, data and information only becomes valuable as you share it. We are all about liberating data, contextualizing it, and then drawing value out of it."

Laborie says the Houston office will be the company's energy hub — both current and prospective clients of Cognite have pressences in town. Meanwhile, Austin will be the tech hub, since the city has a large tech talent pool. Currently, Austin is on the path to be the U.S. headquarters, but nothing is set in stone at the moment, Laborie says.

Cognite, which expects around 50 employees (both new hires and relocations) split between the two locations, already has strategic Houston partnerships in place. Cognite will operate out of Station Houston and even has an internship program and partnership with Rice University. Overall, Laborie says the reception of the city has been positive.

"Houston went above and beyond," Laborie says. "The relationship with Rice has been very interesting because they are working closely with the Houston municipality to transform this image of Houston to get a stronger driver on innovation with the Innovation District, which spoke very loudly to us."

These partnerships are a crucial party of the company, Laborie says, and Cognite plans to work within Houston's innovation ecosystem to continue to push the envelope on innovative technologies.

"We have partnerships with large corporations, but we also see the importance to work with smaller companies to drive innovation — even if they aren't directly related," Laborie says.

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Houston data scientist joins medical device startup amid AI evolution in the sector

HOUSTON INNOVATORS PODCAST EPISODE 241

When most people hear about Houston startup Starling Medical, they might think about how much potential the medical device company has in the field of urinalysis diagnostics. But that's not quite where Angela Wilkins's head went.

Wilkins explains on the Houston Innovators Podcast that when she met the company's co-founders, Hannah McKenney and Drew Hendricks, she recognized them as very promising startup leaders taking action on a real health care problem. Starling's device can collect urine and run diagnostics right from a patient's toilet.

"It was one of those things where I just thought, 'They're going to get a bunch of data soon,'" Wilkins says. "The opportunity is just there, and I was really excited to come on and build their AI platform and the way they are going to look at data."

For about a year, Wilkins supported the startup as an adviser. Now, she's working more hands on as chief data officer as the company grows.



Wilkins, who serves as a mentor and adviser for several startups, has a 20-year career in Houston across all sides of the innovation equation, working first at Baylor College of Medicine before co-founding Mercury Data Science — now OmniScience. Most recently she served as executive director of the Ken Kennedy Institute at Rice University.

This variety in her resume makes her super connective — a benefit to all the startups she works with, she explains. The decision to transition to a startup team means she gets to work hands on in building a technology — while bringing in her experience from other institutions.

"I think I've really learned how to partner with those institutions," she says on the show. "I've really learned how to make those bridges, and that's a big challenge that startups face."

"When we talk about the Houston innovation ecosystem, it's something we should be doing better at because we have so many startups and so many places that would like to use better technology to solve problems," she continues.

Wilkins has data and artificial intelligence on the mind in everything she does, and she even serves on a committee at the state level to learn and provide feedback on how Texas should be regulating AI.

"At the end of the day, the mission is to put together a report and strategy on how we think Texas should think about AI," she explains. "It's beyond just using an algorithm, they need infrastructure."

Colorado is the first state to pass legislation surrounding AI, and Wilkins says all eyes are on how execution of that new law will go.

"We should have technology that can be double checked to make sure we're applying it in a way that's fair across all demographics. It's obvious that we should do that — it's just very hard," she says.

Texas ranks as top state for interest in AI-related job postings

eye on AI

If internet search volume is an accurate barometer, Texas is a hotbed for interest in artificial intelligence jobs.

An analysis by Agility Writer, whose technology helps users produce AI-generated content, shows Texas ranks second among the states with the highest monthly search volume for AI-related jobs. The analysis puts Texas’ monthly search volume at 1,300, with California sitting in first place at 1,900 monthly searches.

“As the AI revolution continues to gain momentum, the geographic distribution of interest in AI careers is likely to evolve further, with states investing in AI education and fostering supportive ecosystems poised to reap the benefits of this transformative technology,” says Adam Yong, CEO of Agility Writer.

The analysis cites Amazon, Apple, and Tesla as three of the major employers in Texas pursuing AI initiatives.

Dice.com, a search engine for tech jobs, says AI roles that are in high demand include machine learning engineer, data scientist, AI research scientist, and robotics engineer.

“Looking forward, the demand for AI professionals is expected to intensify as technologies continue to advance and integrate into everyday business processes and consumer products. AI is not just creating jobs but also transforming them, requiring workers to adapt by gaining new skills,” says Dice.com.

A January 2024 report from career platform LinkedIn found that AI consultant and AI engineer are two of the 25 fastest-growing jobs in the U.S. this year. Most of these roles are concentrated in San Francisco, New York City, Washington, D.C.-Baltimore, and Boston, according to the report.

On the flip side, some analysts predict millions of jobs will be affected by or even lost to AI. For example, research from investment banking giant Goldman Sachs indicates roughly two-thirds of U.S. occupations “are exposed to some degree of automation by AI.”

A study released in 2023 by Chamber of Commerce, a business research company, anticipates as many as 12 percent of Houston-area workers could lose their jobs by 2027 due to AI.

"AI and technology in general may be taking certain jobs away, and yet we also see how it is changing the nature of jobs and even organizations and professions. In the ever-changing arena of AI, employees, job-seekers, and students will continue to adapt and learn new job skills that align with and anticipate workforce needs,” AI expert Fred Oswald, the Herbert S. Autrey Chair in Social Sciences at Rice University and a professor of psychological sciences, said in a 2023 news release.

Here's what it's like using new connection-focused app that just launched in Houston

Branching out

Editor's note: CultureMap Austin editor Brianna Caleri recently attended a dinner arranged by Timeleft, an app that helps people meet each other. The app just launched in Houston — read about Brianna's experience using the app below.

Conventional wisdom — if I may be so bold as to define it — would suggest that people who want to make friends should: select a genuine interest, join a group centered around it, and keep attending meetings. I have not quite been sold on the generic women's group meetups I see on Facebook; and even the most passionate conversations about my ramen bar neighbor's favorite noodle dishes at have never led us to hang out a second time.

I tend to look for friends who will suggest ethical shopping alternatives, make impassioned, over-intellectualized art recommendations, and stay up late workshopping existential dread. But I recognize that's a lot to ask after one dinner.

Thus, I was both surprised and not surprised at all to really enjoy Austin's second-ever Timeleft dinner, a lightly match-made night out for strangers. I don't think I've discovered a new portal to jump into and skip all the awkward early stages of making adult friends, but I had an energizing night with people who impressed me with their social ease and willingness.

The setup
When someone signs up for the French app Timeleft, they are greeted with a pleasantly detailed, yet broad personality test. First, a this-or-that rapid fire: things like, "Do you consider yourself more of a smart person or funny person?" (Smart.) "Would you rather listen to rock or rap?" (Rock.) "Are your opinions usually guided by logic and facts, or emotions and feelings?" (Tough, but I chose logic.) Next is a 1-10 rating scale in areas like intro/extroversion, stress, spirituality, loneliness, creativity, and habits.

Some of these, like "I enjoy going out with friends" and "How important is family to you?", felt neat and inspired concise answers. Others, like "I enjoy politically incorrect humor" and "I enjoy discussing politics/news," felt like minefields. I do enjoy a wicked joke, but are we talking politically incorrect like The Office, or politically incorrect like I got kicked out of my bookclub and believe no one can take a joke anymore? I selected 3 for political incorrectness, and 8 for discussing news and politics, angling hard toward sensitivity and away from potential, if unlikely belligerence.

According to Timeleft, its algorithm considers these answers and a few other logistics to pair users with a restaurant and with each other, resulting in two medium-size tables at each. Our group of seven met at 68 Degrees Kitchen in East Austin; It would have been eight, but one didn't show up. A Timeleft representative says the app overbooked from the intended five, expecting that some people would not show.

Quoted from Timeleft's algorithm explanation, it focuses on these "main ingredients":

  • "Language: Select yours for fluid dialogue[...]"
  • "Balance: A balanced mix of men and women. Note that Timeleft is favored by women, who often make up over 60 percent of participants (thus 4 per table). [Note: Although Timeleft only mentions men and women on this list, it also offered a nonbinary gender marker)"
  • "Temperament: A mix of introverts and extroverts for a balanced rhythm."
  • "Generation: An age gap of five to seven years for common life echoes."

Before we met, we got to see a basic rundown of who would be joining, detailing profession, nationality, and zodiac signs. (Not my ideal trifecta, considering that six-sevenths of us were American, and I'm fairly confident in my ability to interact with people born on any day.) I don't think it's incredibly open-minded of me, but I did feel slightly nervous that half the group worked in tech; I like tech workers, but can't say I really relate.

The dinner
An unexpected point of beauty in the often overwrought world of app-coordinated socializing: Beyond matching us and making our reservation, Timeleft left us to a normal dinner. We ordered from the regular menu, sat among the regular clientele, and handled the payment ourselves, opting to get in a group chat and Venmo one person for one clean bill. It offered a "game," which was really just a list of conversation topics; We only got through two before the topic changing ran cheerfully rampant.

A group of seven — although it did increase the likelihood that we would all like at least one of our companions — was perhaps a bit too large to get to know anyone especially well. We talked as a large group about as much as we split into side conversations. That was perfectly doable, but it made me wish a few times that we had a quiet table of three or four, where we didn't have to raise our voices past each other or inelegantly shift our attention from one conversation to the next.

We discovered a fair amount in common: places lived, schools attended, foods loved, places traveled, parties and underground scenes frequented. Although some of it dipped very lightly into taboos (Who has been to sex clubs? Who has been kicked out of restaurants?), most of these were surface-level parallels.

I learned that one of my dinner mates shared my lack of enthusiasm for school spirit as a concept, but couldn't say whether it was simply noncommittal or deep-rooted antiestablishmentarianism. I learned that at least one of my dinner mates likes to do yoga, but I don't know if they prefer to work up a sweat to EDM or study the Yoga Sutras.

It would be hard to suss out many of the deeper values behind these things, since seven people sitting at a dinner table together are generally trying to be agreeable — or at least entertaining. We're playing to the lowest common denominator, and we don't really know what our denominators are. We never found the gold thread running through — for instance, if we all rated our passion for working out similarly. But if we could narrow it down that much, it might be time to cut out the middle man and join a CrossFit gym.

The after-dinner drinks, and social patterns
After the small group dinners, all the diners from the various Timeleft tables in South and Central Austin were invited to meet up at Hold Out Brewing. Our group (less one person with a morning appointment) decided to head over. It was already 9:45 pm by the time we left the restaurant, having spent nearly 3 hours together already. We were surprised to see the dense crowd that gathered among the picnic tables.

In reporter mode, I started popping by different groups to find out how their night had gone. I talked to more than a dozen people, all of whom had entirely positive feedback about their evenings. The only criticism I heard was that one person felt the $16 "ticket" to the dinner (which was then priced à la carte) was a bit pricy.

Other groups went to Fresa's Chicken al Carbon, North Italia, and what I have to assume was QI Austin: Modern Asian Kitchen, although diners kept pronouncing it "key." Most groups had met members of the other table at the same restaurant, and some even wandered over during the dinner to see how the other half lived. Our group never found its counterpart.

It seemed to me that our group was objectively the most outgoing. Not only were we the last to arrive after our long dinner (as far as I noticed), but we were also (definitely) the last to leave the brewery. One duo from another group said theirs was a little awkward, in a pleasant way, so the two of them kept up most of the talking. One group said conversation flowed fairly easily, but when there was a lull, they returned to the provided conversation topics. It seemed about equally common to share meals or order for yourself, but our gang all shared everything.

Every group noticed their close ages beyond any other unifying factor. No one offered up any common threads, yet people responded in conversation as if they knew each other, with affectionate interjections like, "Of course he would say that!"

Brianna's gang at the Timeleft dinner in Austin. Photo by Brianna Caleri

Final impression
Most interesting to me was that nearly every single person I talked to all night, including in our own group, first heard about the dinner series on Instagram and just thought it sounded worth trying. Only one person specifically told me that they wanted to make new friends because theirs were mostly from work.

My biggest prejudice before the dinner was that the majority of attendees would either be new to Austin or in need of some outside help in making friends. I was right about the first thing; It seemed like most people had only been here a year or less.

But I was wrong about the second thing. In retrospect, it makes sense that a huge group of people who got together just to get together are deeply friendly. And while I still wouldn't expect long-lasting connections to come out of this Friendly People Convention, I can see that's not exactly what most people are aiming for, either.

The app has direct messaging, but I don't feel inclined to use it. Our group is already on an SMS thread, and I got so many new Instagram followers at the after-event that the next morning, I was not even sure who one of them was. We have started rating our compatibility on the app, and indicating who we would be open to seeing at future events, and who we wouldn't.

If I can have a silly dinner with someone who is investing in the world I want to see, I'll happily get silly. I'm sure some of the people I met yesterday are doing that, but I would have little way of knowing — or at least, a much harder time than if we had started on shared ground.

It's tempting, then, to see this as a way to meet people who are very different from you and expand your worldview. I do think it holds some promise for people who want to legitimately invest in becoming friends with each other and learning what's underneath the amiable surface, but I'm curious about where that sense of initiative will come from. Perhaps more regular dinners hold the answer.

I would be happy to see anyone I met yesterday again, if we end up in the same place at the same time. But I think my days of connecting with strangers over no common objective at all are limited.

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More information about Timeleft is available at timeleft.com, and the app is available via Apple's App Store and Google Play. Houston's next dinner happens Wednesday, June 19. Dinners happen weekly, and RSVPs must be made no later than Tuesday evening.

This article originally ran on CultureMap.