Weatherford International has partnered with Abu Dhabi-based AIQ to scale processes and boost efficiency with the use of AI. Photo via Getty Images

Houston-headquartered oilfield service company Weatherford International announced a strategic Memorandum of Understanding (MOU) with AIQ, an Abu Dhabi-based artificial intelligence company, to develop innovative solutions for the energy sector.

"We are excited to partner with AIQ to bring innovative, AI-driven solutions to the oil and gas industry,” Girish Saligram, president and CEO of Weatherford, said in a news release. “This strategic partnership allows us to deliver cutting-edge technologies that empower our customers to maximize their operational efficiency, enhance automation, and reduce costs. By combining our strengths, we are leading the way in helping operators modernize their workflows and achieve greater success in today's rapidly evolving energy landscape.”

The collaboration aims to use Weatherford's software and hardware solutions with AIQ's AI-driven systems. Weatherford and AIQ hope this union will significantly enhance operational efficiency across global oil and gas facilities, help operators to optimize their production workflows and reduce downtime.

The companies have developed the new Modern Edge Integration, which will combine AIQ's AI technology with Weatherford's Modern Edge program. It will enable operators to scale their work processes.

In addition, Weatherford's Universal Normalizer will work with AIQ's capabilities to combine operational and financial analysis. Customers will also now be able to procure software needs via a comprehensive industrial SaaS platform with the WFRD Software Launchpad, which can eliminate the issues associated with managing multiple systems and vendors, and provide a single point of access for all Weatherford and partner-built applications.

"This partnership marks another step in AIQ's mission to build partnerships that accelerate the deployment of impactful AI systems across the energy value chain,” Magzhan Kenesbai, Acting Managing Director of AIQ, said in a news release. “By integrating our advanced AI-driven tools with Weatherford's energy-specific technology, we are driving greater efficiencies to the industry through the development of scalable, automated applications. Together, we are set to empower operators to optimize their workflows, reduce downtime, and achieve unparalleled operational excellence.”

Here are five things to know from CERAWeek this year. Photo courtesy of CERAWeek

Hot rocks, AI, and more — 5 themes and takeaways from CERAWeek 2024 in Houston

things to know

The 2024 edition of CERAWeek by S&P Global wrapped up last Friday in Houston, and a handful of themes emerged as topical and disruptive amid the energy transition.

Here are five takeaways from the conference, according to EnergyCapital reporting.

Funding the energy transition continues to be a challenge.

Photo courtesy of CERAWeek

The biggest obstacle to the energy transition is — and might always be — funding it. A panel at Agora on Thursday, March 21, moderated by Barbara Burger set out to discuss the role of venture capital amid the future of energy.

Daniel Goldman, managing partner at Clean Energy Ventures, said that the first plants for these new, revolutionary technologies are going to be more expensive than its subsequent plants.

"But you have to built it," Goldman says. "'First of a kind' can be very different from the end plant, because you need to manage risk. ... But those first plants are going to be quite costly, and you're going to have to recognize that as an investor."

Microsoft and Breakthrough Ventures Founder Bill Gates would address this in his talk later that day, pointing out that traditional infrastructure investors are used to knowing what a plant would cost before its built. But in clean tech, outside of solar and wind, there's too much unknown to give the estimation those investors are looking for.

"Nothing's at the maturity level that you can do that," Gates says.

The DOE's role of de-risking green tech.

Photo courtesy of CERAWeek

The United States Department of Energy had a significant presence at CERAWeek, with Secretary of Energy Jennifer M. Granholm making two major announcements on Monday, March 18, the first day of the conference. One of the announcements was the DOE's latest Pathways to Commercial Liftoff report, which are initiatives established to provide investors with information of how specific energy technologies commercialize and what challenges they each have to overcome as they scale.

"We develop these Liftoff Reports through a combination of modeling and hundreds and hundreds of interviews with people across the whole investment lifecycle—from early-stage capital to commercial banks and institutional investors," Granholm says in her address, announcing geothermal energy as the subject of the ninth report.

Intended to "create a common fact base and a tool for ongoing dialogue with the private sector on the pathways to commercial liftoff," according to the DOE, these reports can be instrumental for enterprises in the field.

A panel at Agora on Thursday, March 21, featuring geothermal energy innovators discussed the impact of the report. Tim Latimer, CEO and founder of Houston-based Fervo Energy, says the report included details from his company's work.

To Latimer, the report showcases geothermal energy's ability to compete from a cost perspective.

"I think geothermal is already winning that cost discussion," Latimer says. "You're talking about $45 per megawatt hour unsubsidized cost for round-the-clock, 24/7 carbon-free energy. I think that's an achievable ambition the DOE set out, and I think it's an unbeatable value proposition.

Hot topic: Geothermal energy.

Photo courtesy of CERAWeek

Geothermal energy was discussed throughout the week following Granholm's address, in part because of its expected cost efficiency, but also because it's a type of energy that should provide a smooth transition from traditional oil and gas.

John Redfern, CEO of Eavor Technologies, global geothermal technology company headquartered in Canada, says on the geothermal panel that the geothermal industry can build off existing infrastructure.

"Most of it is building blocks that we're recycling from the oil industry — resources, people, technologies," Redfern says. "So, it's more about implementing rather than inventing some new, novel product."

Latimer agrees, adding that Fervo "is fully in the deployment phase."

"The breakthrough needed to make geothermal ready for primetime have already happened," Latimer says.

AI is everywhere — especially the energy transition.

Photo courtesy of CERAWeek

The topic of artificial intelligence was everywhere, so much that by Thursday, panelists joked about every discussion including at least one mention of the technology.

Gates was one speaker who addresses the subject, which isn't all too surprising, since Microsoft owns a portion of OpenAI, which created ChatGPT. One thing left to be known is how directly AI will affect the energy transition — and on what timeline.

AI's current applications are within white collar activities, Gates explains, citing writing a regulatory permit or looking at evidence in a lawsuit. He explains that current AI capabilities could continually grow or remain stagnant for a while, he isn't sure.

"The thing that’s daunting is we don’t know how quickly it will improve," he adds.

Gates didn't comment on energy specific AI applications but noted that AI has advanced far past robotics, which would target blue collar roles.

Big tech sees green.

Photo courtesy of CERAWeek

And speaking of AI, big tech companies have been making moves to lower carbon footprints, and that was made clear by the activations at CERAWeek. Microsoft and Amazon each had designated houses at the conference, alongside Oxy, Chevron, Aramco, and other traditional energy players.

At Microsoft, Houston-based Amperon, which recently announced a partnership with the tech company, presented and pitched their company. The Microsoft and Amazon houses showcased each company's low-carbon technologies.

Hear from guest columnist Onega Ulanova on AI and quality management systems in manufacturing. Photo via Getty Images

Expert: How AI is disrupting manufacturing and the future of quality management systems

guest column

The concept of quality management is so intrinsic to modern manufacturing — and yet so little understood by the general public — and has literally revolutionized our world over the past hundred years.

Yet, in the present day, quality management and the related systems that guide its implementation are far from static. They are continuously-evolving, shifting to ever-changing global conditions and new means of application unleashed by technological innovation.

Now, more than ever, they are essential for addressing and eliminating not only traditional sources of waste in business, such as lost time and money, but also the physical and pollutant waste that threatens the world we all inhabit.

But what are quality management systems, or QMS, exactly? Who created them, and how have they evolved over time? Perhaps most pressingly, where can they be of greatest help in the present world, and when can they be implemented by businesses in need of change and improvement?

In this article, we will explore the history of QMS, explain their essential role in today’s manufacturing practices, and examine how these systems will take us into the future of productivity.

Quality Management Systems: A Definition

In the United States and globally, the gold standard of quality management standards and practices is the American Society for Quality. This preeminent organization, with over 4,000 members in 130 countries, was established in 1946 and has guided practices and implementation of quality management systems worldwide.

The Society defines a quality management system as “a formalized system that documents processes, procedures, and responsibilities for achieving quality policies and objectives,” and further states that “a QMS helps coordinate and direct an organization’s activities to meet customer and regulatory requirements and improve its effectiveness and efficiency on a continuous basis.”

From this definition, it can be understood that a good quality management system’s purpose is to establish the conditions for consistent and ever-increasing improvement through the use of standardized business culture practices.

Which QMS Standards are Most Widely Used?

The results of quality management’s remarkable growth since the 1940s has led to the rise of a number of widely-used standards, which can serve as the basis for companies and organizations to design and implement their own practices. Most of these modern quality management standards are globally recognized, and are specifically tailored to ensure that a company’s newly-developed practices include essential elements that can increase the likelihood of success.

The most widely-known entity which has designed such guidance is the International Organization for Standardization (ISO), a global organization which develops and publishes technical standards. Since the 1980s, the ISO has provided the 9000 series of standards (the most famous of which is 9001:2015) which outline how organizations can satisfy the checklists of quality management requirements and create their own best practices.

In 2020, over 1.2 million organizations worldwide were officially certified by the ISO for their quality management implementation practices.

However, it should be understood that the ISO 9000 standards are merely guidelines for the design and implementation of a quality management system; they are not systems in and of themselves.

Furthermore, the ISO is far from the only relevant player in this field. Many industry-specific standards, such as the American Petroleum Institute’s API Q1 standard, have been developed to target the highly specialized needs of particular business practices of oil and gas industry. These industry-specific standards are generally aligned with the ISO 9000 standards, and serve as complimentary additional guidance, rather than a replacement. It is entirely possible, and in many cases desirable, for a company to receive both ISO certification and certification from an industry-specific standards body, as doing so can help ensure the company’s newly-developed QMS procedures are consistent with both broad and specialized best practices.

A History of Quality Management

The concept of quality management is intrinsically tied to the development of industrial production. Previous to the industrial revolution, the concept of ‘quality’ was inherently linked to the skill and effort of craftspeople, or in other words, individual laborers trained in specialized fields who, either individually or in small groups, produced goods for use in society.

Whether they were weaving baskets or building castles, these craftspeople were primarily defined by a skill that centered them in a specific production methodology, and it was the mastery of this skill which determined the quality. Guilds of craftspeople would sign their works, placing a personal or group seal on the resulting product and thereby accepting accountability for its quality.

Such signatures and marks are found dating back at least 4,500 years to the construction of Egypt’s Great Pyramid of Giza, and came into widespread practice in medieval Europe with the rise of craft guilds.

In these early confederations of workers, a person’s mastery of a skill or craft could become a defining part of their identity and life, to the extent that many craftspeople of 13th Century Europe lived together in communal settings, while the Egyptian pyramid workers may have belonged to life-long ‘fraternities’ who returned, year after year, to fulfill their roles in ‘work gangs’.

However, in the Industrial Revolution, craft and guild organizations were supplanted by factories. Though ancient and medieval projects at times reached monumental scale, the rise of thousands of factories, each requiring human and machine contributions to generate masses of identical products, required a completely different scale of quality management.

The emphasis on mass production necessitated the use of workers who were no longer crafts masters, and thus resulted in a decrease in the quality of products. This in turn necessitated the rise of the product inspection system, which was steadily refined from the start of the Industrial Revolution in 1760 into the early 20th century.

However, inspection was merely a system of quality control, rather than quality management; in other words, simply discarding defective products did not in and of itself increase total product quality or reduce waste.

As influential American engineer Joseph M. Juran explained, in 1920s-era America, it was common to throw away substantial portions of produced inventory due to defects, and when Juran prompted inspectors at his employer’s company to do something, they refused, saying it was the responsibility of the production line to improve. Quality control, in and of itself, would not yield quality management.

As is often the case in human history, war was the driver of change. In World War II, the mobilization of millions of American workers into wartime roles coincided with the need to produce greater quantities of high-quality products than ever before.

To counteract the loss of skilled factory labor, the United States government implemented the Training Within Industry program, which utilized 10-hour courses to educate newly-recruited workers in how to conduct their work, evaluate their efficiency, and suggest improvements. Similar training programs for the trainers themselves were also developed. By the end of the war, more than 1.6 million workers had been certified under the Training Within Industry program.

Training Within Industry represented one of the first successful implementations of quality management systems, and its impact was widely felt after the end of the war. In the ashes of conflict, the United States and the other Allied Powers were tasked with helping to rebuild the economies of the other wartime combatants. Nowhere was this a more pressing matter than Japan, which had seen widespread economic devastation and had lost 40 percent of all its factories. Further complicating the situation was the reality that, then as now, Japan lacked sufficient natural resources to serve its economic scale.

And yet, within just 10 years of the war’s end, Japan’s economy war growing twice as fast per year than it had been before the fighting started. The driver of this miraculous turnaround was American-derived quality management practices, reinterpreted and implemented with Japanese ingenuity.

In modern business management, few concepts are as renowned, and oft-cited for success, as kaizen. This Japanese word, which simply means “improvement,” is the essential lesson and driver of Japan’s postwar economic success.

Numerous books written outside Japan have attempted to explain kaizen’s quality management principles, often by citing them as being ‘distinctly Japanese.’ Yet, the basis for kaizen is actually universal and applicable in any culture or context; it is, simply put, an emphasis on remaining quality-focused and open to evolution. The development of kaizen began in the post-war period when American statistician William Edwards Deming was brought to Japan as part of the US government’s rebuilding efforts.

A student of earlier quality management thought leaders, Deming instructed hundreds of Japanese engineers, executives, and scholars, urging them to place statistical analysis and human relationships at the center of their management practices. Deming used statistics to track the number and origin of product defects, as well to analyze the effectiveness of remedies. He also reinstated a key idea of the craftsperson creed: that the individual worker is not just a set of hands performing a task, but a person who can, with time, improve both the self and the whole of the company.

Deming was not alone in these efforts; the aforementioned Joseph M. Juran, who came to Japan as part of the rebuilding program several years later, also gave numerous lectures expounding similar principles.

Like Deming, Juran had previously tried to impart these approaches to American industry, but the lessons often fell on deaf ears. Japanese managers, however, took the lessons to heart and soon began crafting their own quality management systems.

Kaoru Ishikawa, who began by translating the works of Deming and Juran into Japanese, was one of the crucial players who helped to create the ideas now known as kaizen. He introduced a bottom-up approach where workers from every part of the product life cycle could initiate change, and popularized Deming’s concept of quality circles, where small groups of workers would meet regularly to analyze results and discuss improvements.

By 1975, Japanese product quality, which had once been regarded as poor, had transformed into world-class thanks to the teachings of Deming, Juran, and kaizen.

By the 1980s, American industry had lost market share and quality prestige to Japan. It was now time for US businesses to learn from Deming and Juran, both of whom at last found a receptive audience in their home country. Deming in particular achieved recognition for his role in the influential 1980 television documentary If Japan Can, Why Can’t We?, in which he emphasized the universal applicability of quality management.

So too did kaizen, which influenced a new generation of global thought leaders. Arising out of this rapid expansion of QMS were new systems in the 1970s and ‘80s, including the Six Sigma approach pioneered by Bill Smith and Motorola in 1987. Ishikawa, who saw his reputation and life transformed as his ideas spread worldwide, eventually summed up the explanation as the universality of human nature and its desire to improve. As Ishikawa said, “wherever they are, human beings are human beings”.

In no small part due to the influence of the thought leaders mentioned, quality management systems are today a cornerstone of global business practice. So influential are the innovators of these systems that they are often called ‘gurus.’ But what are the specific benefits of these systems, and how best can they be implemented?

How QMS Benefits Organizations, and the World

The oft-cited benefits of quality management systems are operational efficiency, employee retention, and reduction of waste. From all of these come improvements to the company’s bottom line and reputation. But far from being dry talking points, each benefit not only serves its obvious purpose, but also can dramatically help benefit the planet itself.

Operational efficiency is the measurement, analysis, and improvement of processes which occur within an organization, with the purpose of utilizing data and consideration to eliminate or mediate any areas where current practices are not effective.

Quality management systems can increase operational efficiency by utilizing employee analysis and feedback to quickly identify areas where improvements are possible, and then to guide their implementation.

In a joint study conducted in 2017 by Forbes and the American Society for Quality, 56 percent of companies stated that improving operational efficiency was a top concern; in the same survey, 59 percent of companies received direct benefit to operations by utilizing quality management system practices, making it the single largest area of improvement across all business types.

Because operational improvements inherently reduce both waste and cost, conducting business in a fully-optimized manner can simultaneously save unnecessary resource expenditure, decrease pollutants and discarded materials, and retain more money which the company can invest into further sustainable practices. Efficiency is itself a kind of ‘stealth sustainability’ that turns a profit-focused mindset into a generator of greater good. It is this very point that the

United States government’s Environmental Protection Agency (EPA) has emphasized in their guidance for Environmental Management Systems (EMS). These quality management system guidelines, tailored specifically to benefit operational efficiency in a business setting, are also designed to benefit the global environment by utilizing quality management practices.

Examples in the EPA’s studies in preparing these guidelines showcased areas where small companies could reduce environmental waste, while simultaneously reducing cost, in numerous areas. These added to substantial reductions and savings, such as a 15 percent waste water reduction which saved a small metal finishing company $15,000 per year.

Similarly, a 2020 study by McKinsey & Company identified ways that optimizing operations could dramatically aid a company’s sustainability with only small outlays of capital, thereby making environmental benefit a by-product of improved profitability.

Employee retention, and more broadly the satisfaction of employees, is another major consideration of QMS. Defined simply, retention is not only the maintenance of a stable workforce without turnover, but the improvement of that workforce with time as they gain skill, confidence, and ability for continued self and organizational improvement. We may be in the post-Industrial Revolution, but thanks to the ideas of QMS, some of the concept of the craftsperson has returned to modern thinking; the individual, once more, has great value.

Quality management systems aid employee retention by allowing the people of an organization to have a direct hand in its improvement. In a study published in 2023 by the journal Quality Innovation Prosperity, 40 percent of organizations which implemented ISO 9001 guidance for the creation of a QMS reported that the process yielded greater employee retention.

A crucial success factor for employee satisfaction is how empowered the employee feels to apply judgment. According to a 2014 study by the Harvard Business Review, companies which set clear guidelines, protect and celebrate employee proposals for quality improvement, and clearly communicate the organization’s quality message while allowing the employees to help shape and implement it, have by far the highest engagement and retention rates. The greatest successes come from cultures where peer-driven approaches increase employee engagement, thereby eliminating preventable employee mistakes. Yet the same study also pointed out that nearly half of all employees feel their company’s leadership lacks a clear emphasis on quality, and only 10 percent felt their company’s existing quality statements were truthful and viable.

Then as now, the need to establish a clear quality culture, to manage and nurture that culture, and to empower the participants is critical to earning the trust of the employee participants and thereby retaining workers who in time can become the invaluable craftspeople of today.

Finally, there is the reduction of waste. Waste can be defined in many ways: waste of time, waste of money, waste of resources. The unifying factor in all definitions is the loss of something valuable, and irretrievable. All inevitably also lead to the increase of another kind of waste: pollution and discarded detritus which steadily ruin our shared planet.

Reducing waste with quality management can take many forms, but ultimately, all center on the realization of strategies which use only what is truly needed. This can mean both operational efficiencies and employee quality, as noted above. The Harvard Business Review survey identified that in 2014, the average large company (having 26,000 employees or more) loses a staggering $350 million each year due to preventable employee errors, many of which could be reduced, mitigated, or eliminated entirely with better implementation of quality management.

This is waste on an almost unimaginable financial scale. Waste eliminated through practices which emphasize efficiency and sustainability, as noted in the McKinsey & Company study, can also yield tremendous savings. In one example, a company which purchased asphalt and previously prioritized only the per-ton price found that, when examining the logistical costs of transporting the asphalt from distant suppliers, they were actually paying more than if they purchased it locally. The quality management analysis they performed yielded them a cost savings, and eliminated 40 percent of the carbon emissions associated with the asphalt’s procurement. In this case, not only was wasteful spending eliminated, but literal waste (pollution) was prevented.

In taking these steps, companies can meaningfully improve their bottom lines, while at the same time doing something worthwhile and beneficial for the planet. That, in turn, helps burnish their reputations. A remarkable plurality of consumers, 88 percent of Americans surveyed in a 2017 study to be exact, said they would be more loyal to a company that supports social or environmental issues.

It is therefore clear that any steps a company can take which save money, improve worker satisfaction, and yield increased positivity in the marketplace are well worth pursuing.

What is the Future of QMS?

Until the 2000s, quality management systems were just that: systems of desirable practices, outlined by individuals and implemented individually. That was the age of the gurus: the visionaries who outlined the systems. But what that age lacked was a practical and easy means for companies, sometimes located far away from direct guidance by the gurus, to implement their teachings.

In the intervening years, technology has radically changed that dynamic. Today, QMS software fills the marketplace, allowing businesses small and large to design and guide their quality management plans. But even these software solutions have not yet solved the last great challenge: personalized assistance in putting standards into practice.

That is why the latest innovations, particularly in artificial intelligence, have the potential to upend the equation. Already, major companies have started to use artificial intelligence in connection with QMS datasets managed by software, utilizing the programs for statistical analysis, suggested improvements, and even prediction of potential faults before they occur.

These are immensely valuable opportunities, hence why huge players such as Honeywell are spending billions of dollars to bring innovative AI technology companies into their platforms to refine existing QMS systems.

But while AI has already begun to significantly affect the biggest players, small and mid-sized companies remain eager, but not yet able, to take full advantage. It is thus the next great revolution for a new evolution of QMS, one which will bring these emerging technologies to all companies, regardless of size or scale. The future of QMS, and therefore the future of efficiency in business, rests upon this shift from companies being the recipients of ‘guru knowledge,’ to themselves being the designers of their own quality-minded futures.

------

Onega Ulanova is the CEO of QMS2GO, a provider of quality management systems leveraging AI in manufacturing.

This article originally ran on InnovationMap.

As the world becomes more reliant on renewable energy, artificial intelligence is proving to be a major game-changer. Photo via Getty Images

How AI technology is advancing a low-carbon future

the view from heti

In the midst of a continuously changing global energy landscape, industry experts, leading energy companies and corporations have rallied together for one common goal: to reach net zero by 2050. As the demand for energy increases, so does the urgency to develop more energy efficient technologies that reduce emissions.

As the world becomes more reliant on renewable energy, artificial intelligence is proving to be a major game-changer. AI is one of the world’s largest disruptors in tech to date with some tech giants pouring millions into research surrounding AI technologies.

While artificial intelligence may not be the first thing to come to mind when talking about the energy industry, it’s already proven its value in fueling the energy transition in multiple domains: improving renewable energy forecasting, grid operations, materials innovation and more. Companies like Accenture have shown how artificial intelligence can play a huge role in steering the energy transition toward a more efficient future.

As a technology services provider, Accenture bridges the gap between technology and human ingenuity to solve some of the world’s most complex issues. With more than 15 years of leadership in metaverse-related technology and more than 1,400 patents, the Accenture Metaverse team brings together metaverse-skilled professionals and market-leading capabilities across Accenture.

The Dublin, Ireland-based company recently announced plans to invest more than $3 billion in artificial intelligence and double its AI-related staff to accommodate demands. Accenture also plans to use generative AI for client work and launch an AI Navigator for Enterprise platform to help guide AI strategy, use cases, decision-making and policy.

With decades of investments and patents, Accenture is no stranger to AI. The company also recently introduced their Net Zero Metaverse, an immersive experience that allows users to explore the future of energy, at the third annual Future of Global Energy conference hosted by the Greater Houston Partnership and the Houston Energy Transition Initiative presented by Chevron. The innovative software system consists of multiple digital worlds including a Charge Stations of the Future, Energy Transition Igloo, a Space Lab and Hydrogen Heights, a renewable-powered neighborhood named after The Heights of Houston.

While Accenture is helping to shift to a more sustainable future, three ways that AI software has already transformed the way we generate, distribute and consume energy are through smart grids, optimized electricity consumption and electricity mobility.

Smart Grids
AI technology can help optimize the efficiency of smart grids, reducing the number of outages and mitigating impact for both residential and commercial customers. In its ability to analyze data collected by smart grids, AI can predict the demand of energy and adjust the flow of electricity accordingly.

Optimized electricity consumption
According to the World Economic Forum, reducing carbon emissions in buildings will be critical to achieving net zero emissions by 2050; buildings represent 39% of global greenhouse gas emissions. AI powered smart buildings and homes can help to reduce energy consumption and operating costs. With the ability to analyze data from sensors and other sources, AI software can identify patterns, predict equipment failures and maintenance needs and help building managers schedule maintenance repairs more efficiently.

Electricity mobility
According to the Congressional Budget Office, transportation is the largest source of greenhouse gas emissions in the United States with CO2 emissions representing about 97% of the global warming potential of all greenhouse emissions. AI software plays a key role in monitoring driving conditions, speed and load levels predicting the most efficient way to use available energy. AI software also helps in safety management and aids in the race to a pollution-free eco-friendly environment.

While AI technology is still advancing, and there is uncertainty in its accuracy, this breakthrough technology is shaping the future of society offering new approaches to optimize energy systems’ operation and reliability.

Learn more about what companies like Accenture are doing with AI technologies.

------------

This article originally ran on the Greater Houston Partnership's Houston Energy Transition Initiative blog. HETI exists to support Houston's future as an energy leader. For more information about the Houston Energy Transition Initiative, EnergyCapitalHTX's presenting sponsor, visit htxenergytransition.org.


Soon, you'll be able to cruise to your destination without a driver in Houston. Photo via Cruise/Facebook

Self-driving rideshare company cruises its robotaxies into Houston

LOOK MA, NO DRIVER

A new driverless ridehail service is coming to Houston: Cruise, the all-electric, driverless car company backed by GM, is expanding in Texas with launches in both Dallas and the Bayou City.

This follows an initial launch in Austin in 2022, their first city in Texas.

Cruise builds and operates driverless vehicles that you can call via an app, like any other ride hailing service. "But our vehicles show up without anyone else inside," they say.

The entire fleet is all-electric and the vehicles are equipped with a 360-view, with the ability to react to whatever they encounter on the road.

They test their vehicles using simulations, through millions of scenarios and virtual miles; they’ve also driven more than 4 million real miles, mostly in San Francisco.

They have not defined what the cost will be but according to The Verge, the rates in San Francisco vary depending on length of trip and time of day: "A customer taking a 1.3-mile trip would pay 90 cents per mile and 40 cents per minute, in addition to a $5 base fee and 1.5 percent city tax, for a total of $8.72." By comparison, an Uber ride for the same trip would cost at least $10.41.

The company was founded in 2013 and vehicles began to hit the road in 2022. They operate a total fleet of roughly 300 all-electric AVs, powered 100 percent by renewable energy. In addition to Austin, they operate in San Francisco and Phoenix, where they've completed 35,000 self-driving deliveries in a partnership with Walmart.

According to a statement from CEO Kyle Vogt, they'll begin supervised driving (with a safety driver behind the wheel) in Houston as they finetune their AI technology to understand the nuances and unique elements of the city, with Dallas to follow shortly after.

In a blog post, Vogt says their cars drive the speed limit and come to a complete stop at every stop sign. They respond to police sirens, flashing lights on fire trucks or ambulances, and stop signs that fold out of school buses.

They react to people on scooters, people using bike lanes, and cars driving on the wrong side of the road. "In short, they are designed to drive safely by obeying the law and driving in a humanlike way," he says. Actually, that sounds better than humans.

When vehicles encounter a situation where they aren’t 100 percent sure of what to do, they slow down or stop and pull over to the side of the road. This has caused some bumps in San Francisco where cars stopped and idled in the street for no apparent reason, delaying bus riders and disrupting the work of firefighters.

Some of the "bumps" have been comical, such as the 2022 incident in which a confused San Francisco police officer pulled a Cruise over, and then the Cruise drove away.

And as Reuters notes, autonomous vehicles have not rolled out as fast as anticipated, due to regulations, safety investigations, and arduous technology.

When Cruise first enters a city, they hire a mapping and data collection team to learn bike lanes, school zones, and major intersections. But most of the time, the vehicles will be carrying riders in the back seat, or completely empty and en route to another pickup.

The company partners with first responders, including police and fire departments, to ensure they’re ready and familiar with how to interact with the vehicles, engaging with those agencies before and after launch.

"Our guiding mission has always been to improve road safety, reduce emissions, and reduce congestion with our driverless ride-hail service in cities, which is where we’ll see the most significant positive impact the soonest," Vogt says. "Houston and Dallas are committed to reducing traffic deaths as part of their Vision Zero commitments, and we are excited to operate in and partner with these new communities in this shared mission."

------

This article originally ran on CultureMap.

Ad Placement 300x100
Ad Placement 300x600

CultureMap Emails are Awesome

HETI members to take the stage at CERAWeek 2026 in Houston

The View from HETI

CERAWeek returns to Houston March 23–27, convening global industry leaders to explore the trends shaping the future of energy.

The Greater Houston Partnership’s Houston Energy Transition Initiative (HETI) members will play a key role in this year’s program, contributing to discussions spanning digital innovation, power systems, decarbonization and workforce. Below are the sessions featuring HETI members throughout the week:

AI in Energy: Managing the Transformation
Monday, March 23 | 9:30-10:00 a.m.
Speakers: Hector Rocha, Accenture; Rebecca Hofmann, Blockchain For Energy; Paul Markwell, S&P Global

Scaling Innovation: Building the Ecosystem for the Next Energy Breakthroughs
Monday, March 23 | 10:30-11:10 a.m.
Speakers: Graham Gordon, Accenture; Carolyn Seto, S&P Global; Bernie Bulkin, Global Energy Infrastructure Plc; Georgina Campbell Flatter, Greentown Labs
Examines how partnerships across capital, policy and infrastructure can accelerate commercialization and scaling of breakthrough energy technologies.

Oil Strategies for a World in Transition
Monday, March 23 | 11:15-11:55 a.m.
Speakers: Olivier Le Peuch, SLB; Anders Opedal, Equinor; Vicki Hollub, Occidental; Atul Arya, S&P Global
Discusses how producers are adapting portfolio strategies to balance resilience, demand outlooks and transition pressures.

Gas: Growing Markets and New Players
Monday, March 23 | 12:00-12:40 p.m.
Speakers: Liz Westcott, Woodside Energy; Toby Rice, EQT Corporation; Shankari Srinivasan, S&P Global; Ryosuke Tsugaru, JERA CO., INC.

Advances in Exploration Technologies for Oil & Gas and Mining
Monday, March 23 | 1:30-2:10 p.m.
Speakers: Amy Callahan, Accenture; Hussein Shel, Amazon Web Services; Oscar Abbink, S&P Global
Highlights sensing, imaging and AI tools improving discovery efficiency and sustainability in exploration.

AI in Action: From Pilot to Profit
Monday, March 23 | 1:30-2:00 p.m.
Speakers: Shridevi Bale, Accenture; Paul Gruenwald, S&P Global
Shares lessons from scaling AI deployments beyond pilots into measurable operational value.

Power Networks: Collaborating to Meet Demand
Monday, March 23 | 2:15-2:55 p.m.
Speakers: Lawrence Coben, NRG Energy; Jim Murphy, Invenergy; Eduard Sala de Vedruna, S&P Global
Examines grid readiness and collaboration models needed to manage surging electricity demand.

New Phase of Gas: From Regional Security to Global Market Integration
Monday, March 23 | 3:00-3:40 p.m.
Speakers: Cederic Cremers, Shell; Balaji Krishnamurthy, Chevron; Kevin Gallagher, Santos; Mansoor Al Hamed, Mubadala Energy; Dave Ernsberger, S&P Global
Discusses LNG’s evolving role in global integration, energy security and future pricing structures.

Transforming Upstream: Pathways to Scaling New Technologies
Monday, March 23 | 7:00-8:30 p.m.
Speakers: Rami El Debs, Accenture; Trey Lowe, Devon Energy; Bader Al-Attar, Kuwait Petroleum Corporation
Explores adoption of advanced digital and automation technologies in upstream operations.

Leadership Dialogue
Tuesday, March 24 | 9:00-9:20 a.m.
Speakers: Wael Sawan, Shell; Daniel Yergin, S&P Global

One Grid, One ASEAN: Building a Shared Clean Energy Future
Tuesday, March 24 | 10:30-11:10 a.m.
Speakers: Akihiro Ondo, Mitsubishi Power; Gauri Jauhar, S&P Global

Harmonizing Carbon Accounting: Charting a Path Forward
Tuesday, March 24 | 10:40-11:20 a.m.
Speakers: Edward Stones, Dow; Sasha Mackler, ExxonMobil; Musaab Al-Mulla, Saudi Aramco; Kevin Birn, S&P Global
Examines efforts to standardize emissions accounting to improve comparability and market transparency.

Global Exploration Revival: Lessons and New Strategies
Tuesday, March 24 | 11:30-12:10 p.m.
Speakers: John Ardill, ExxonMobil; Dan Pratt, S&P Global; Guido Brusco, Eni

How Will AI Change the Game for Energy Profitability?
Tuesday, March 24 | 12:20-1:00 p.m.
Speakers: Rakesh Jaggi, SLB; Jim Masso, Honeywell; Atul Arya, S&P Global; Darryl Willis, Microsoft; Renata Baruzzi, Petrobras
Examines how AI and cloud technologies could reshape cost structures and performance across energy systems.

Balancing Act: Price, Reliability and the Global Call on U.S. Energy
Tuesday, March 24 | 2:35-3:15 p.m.
Speakers: Stéphane Michel, TotalEnergies; Eleonor Kramarz, S&P Global; Matt Schatzman, NextDecade; Brian Falik, Mercuria Energy America
Explores tensions between domestic supply reliability and global export opportunities.

The Future of Upstream: Matching Capital Discipline with Opportunity
Tuesday, March 24 | 2:35-3:15 p.m.
Speakers: Richard Jackson, Occidental; Philippe Mathieu, Equinor; Niloufar Molavi, PwC; Bob Fryklund, S&P Global

Transforming the Energy Industry: How Will Technology Change Business Models?
Tuesday, March 24 | 2:35- 3:15 p.m.
Speakers: Ryder Booth, Chevron; Peter Terwiesch, ABB; Atul Arya, S&P Global
Examines digital transformation and new partnership models reshaping energy value chains.

Sustainable Solutions: Partnership, Technology and Innovative Paths
Tuesday, March 24 | 3:25-4:05 p.m.
Speakers: Barry Engle, ExxonMobil; Luis Cabra, Repsol; Leanne Todd, S&P Global; Roeland Baan, Topsoe
Highlights collaborative approaches to deploying scalable decarbonization solutions.

The Future of Refining: Resilience, Innovation and Low-Carbon Pathways
Tuesday, March 24 | 3:25-4:05 p.m.
Speakers: Amber Russell, bp; Kurt Barrow, S&P Global; Martijn van Koten, OMV; Atsuhiko Hirano, Idemitsu; Magnus Heimburg, VAROPreem
Explores how refining and supply chains are adapting to policy, demand and emissions pressures.

Reinventing Business Strategies: Thriving in the New Energy Economy
Tuesday, March 24 | 4:15-4:55 p.m.
Speakers: Muqsit Ashraf, Accenture; Philippe Frangules, S&P Global; Sushil Purohit, Gentari Sdn Bhd
Discusses evolving strategies integrating new technologies and markets.

Creating AI-Ready Organizations
Tuesday, March 24 | 4:20-5:05 p.m.
Speakers: David Rabley, Accenture; Gwenaelle Avice-Huet, Schneider Electric; Dave Ernsberger, S&P Global; Rob Schapiro, Microsoft; Geoffrey Parker, Arthur L. Irving Institute for Energy and Society at Dartmouth
Focuses on workforce, leadership and infrastructure required for effective AI adoption.

Meeting Power Demand for Data Centers
Wednesday, March 25 | 10:30-11:20 a.m.
Speakers: Karim Amin, Siemens Energy; Ed Baine, Dominion Energy; Douglas Giuffre, S&P Global; Ingmar Ritzenhofen, RWE Supply & Trading and RWE Clean Energy; Amanda Peterson Corio, Google; Jim Shield, Invenergy
Discusses strategies for aligning infrastructure, policy and markets to meet data-center load growth.

Where Agentic AI Is Now and What Comes Next
Wednesday, March 25 | 10:30-11:00 a.m.
Speakers: Tathagata Basu, Honeywell; Ben Wilson, Amazon Web Services, Bhavesh Dayalji, S&P Global

People Power: Strategic Human Capital in a New Energy Era
Wednesday, March 25 | 10:40-11:20 a.m.
Speakers: Jessica Van Singel, Accenture
Examines workforce strategy alignment with innovation and competitiveness goals.

Global Energy Pathways in the Age of Abundance
Wednesday, March 25 | 11:45-12:35 p.m.
Speakers: Gareth Ramsay, bp; Atul Arya, S&P Global; Olu Verheijen, Office of the President of the Federal Public of Nigeria

Agentic AI: Embracing Autonomy
Thursday, March 26 | 10:00-10:30 a.m.
Speakers: Trygve Randen, SLB; Uwa Airhiavbere, Microsoft; Eric Hanselman, S&P Global
Examines governance and reliability considerations as autonomous AI systems expand in energy.

The Changing Mix of U.S. Power Generation: Gas, Renewables, Coal, Nuclear and Beyond
Thursday, March 26 | 10:30-11:20 a.m.
Speakers: Bill Newsom, Mitsubishi Power; Douglas Giuffre, S&P Global; John-Paul Jones, Urenco Enrichment Company; Leslie Duke, Burns & McDonnell; Mike DeBock, NextEra Energy Resources
Explores how policy and technology shifts are reshaping generation portfolios.

Large Load Growth: Reshaping the Future of Power
Thursday, March 26 | 11:10-11:50 a.m.
Speakers: Robert Gaudette, NRG Energy; Petter Skantze, NextEra Energy Resources; Douglas Giuffre, S&P Global; Peter Lake, National Energy Dominance Council
Discusses planning and market responses to large-scale electricity demand.

Interconnecting America: The Grid’s Last Mile
Thursday, March 26 | 12:00-12:40 p.m.
Speakers: Tim Holt, Siemens Energy; Philippe Frangules, S&P Global; David Brast, TC Energy; David Rosner, Federal Energy Regulatory Commission

AI: Driving Performance in the Power Sector
Thursday, March 26 | 3:05-3:45 p.m.
Speakers: Dak Liyanearachchi, NRG Energy; Hanna Grene, Microsoft; Douglas Giuffre, S&P Global
Explores AI use cases improving grid management and forecasting.

Digital Twins: The AI Enabler for Multiple Sectors
Thursday, March 26 | 4:30-5:10 p.m.
Speakers: Sacha Abinader, Accenture; Oscar Abbink, S&P Global
Examines digital twins enabling predictive maintenance and AI training environments.

View the full CERAWeek agenda.

———

This article originally appeared on the Greater Houston Partnership's Houston Energy Transition Initiative blog. HETI exists to support Houston's future as an energy leader. For more information about the Houston Energy Transition Initiative, EnergyCapitalHTX's presenting sponsor, visit htxenergytransition.org.

Houston data center capacity could more than double by 2028, CBRE report says

data analysis

The Houston market could more than double its data center capacity by the end of 2028, a new report indicates.

The report, published by commercial real estate services provider CBRE, says greater demand for data center capacity in the Houston area is being fueled by energy companies, along with large-scale cloud services and AI-driven tenants.

In the second half of 2025, the Houston market had 154 megawatts of data center capacity, which was on par with capacity in the second half of 2024. Another 28.5 megawatts of capacity was under construction during that period.

“Multiple providers are advancing new builds and redevelopments, including significant power upgrades to recently purchased buildings, underscoring long-term confidence even as the market works through elevated vacancy and uneven absorption,” CBRE says of Houston’s data center presence.

One project alone promises to significantly boost the Houston market’s data center capacity. Data center developer Serverfarm plans to use part of a $3 billion credit facility to build a 250-acre, AI-ready data center campus near Houston with a potential capacity of more than 500 megawatts. The Houston campus and two other Serverfarm projects are already leased to unidentified tenants, according to CoStar.

A 60-megawatt, AI-ready Serverfarm data center is under construction in Houston. The $137 million, 438,000-square-foot project, located near the former headquarters of computer manufacturer Compaq, is supposed to be completed in the third quarter of 2027.

Data Center Map identifies 59 data centers in the Houston area managed by 36 operators, including DataBank, Data Foundry, Digital Realty, IBM, Logix Fiber Networks, Lumen and TRG Datacenters. That compares with more than 180 data centers in Dallas-Fort Worth, more than 50 in the San Antonio area and 40 in the Austin area.

Texas is home to more than 400 data centers, according to Data Center Map.

In November, Google said it’s investing $40 billion to build AI data centers in West Texas and the Texas Panhandle.

“This is a Texas-sized investment in the future of our great state,” Gov. Greg Abbott said when Google’s commitment was announced. “Texas is the epicenter of AI development, where companies can pair innovation with expanding energy. Google's $40 billion investment makes Texas Google's largest investment in any state in the country and supports energy efficiency and workforce development in our state.”

Houston energy transition ecosystem rebrands as 'Energytech Cypher'

new look

Houston-based Energytech Nexus has rebranded.

The cleantech founders community will now be known as Energytech Cypher. Organizers say the new name was inspired by the Arabic roots of the word cypher, ṣifr, which is also the root of the word zero.

"A cypher is a key that unlocks what's hidden," Nada Ahmed, co-founder and chief revenue officer of Energytech Cypher, said in a news release. "And zero? Zero is where every transformation begins, the leap from 0 to 1, from idea to reality, from potential to power. We decode the energy transition by connecting the right founders, the right capital, and the right corporate partners at the right time, because the most important journey in energy is the one that takes you from nothing to something."

Energytech Nexus has rebranded to Energytech Cypher.

Co-founder and CEO Jason Ethier says that the name change better reflects the organization's mission.

"The energy transition doesn't have a technology problem. It has a connection problem," Ehtier added in the release. "The right founders exist. The right investors exist. The right partners exist. What's been missing is the infrastructure to bring them together—to decode the complexity, remove the friction, and make sure the best technologies find the markets that need them. That's what this community has always done. Energytech Cypher is the name that finally says it."

Energytech Cypher, previously known as Energytech Nexus, was first launched in 2023 and has grown from a podcast to a 130-member ecosystem. It has supported startups including Capwell Services, Resollant, Syzygy Plasmonics, Hertha Metals, Solidec and many others.

It is known for its flagship programs like the Pilotathon, which connects founders with industry partners for pilot opportunities. The event debuted in 2024.

Energytech Cypher also launched its COPILOT Accelerator last year. The accelerator partners with Browning the Green Space, a nonprofit that promotes diversity, equity and inclusion (DEI) in the clean energy and climatech sectors. The inaugural cohort included two Houston-based startups and 12 others from around the U.S.

It also hosts programs like Liftoff, Energy Tech Market, lunch and learns, CEO roundtables, investor workshops and international partnership initiatives.

Last year, Energytech Cypher also announced a new strategic ecosystem partnership with Greentown Labs, aimed at accelerating growth for clean energy startups. It also named its global founding partners, including Houston-based operations such as Chevron Technology Ventures, Collide, Oxy Technology Ventures, and others from around the world.