3 Houston innovators to know this week

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This week's roundup of Houston innovators includes Ryan Sitton of Pinnacle, Julia P. Clarke of Raba Kistner Inc., and Phillip Yates of Equiliberty. Courtesy photos

Editor's note: In this week's roundup of Houston innovators to know, I'm introducing you to three local innovators across industries — from data analysis to fintech — recently making headlines in Houston innovation.

Ryan Sitton, CEO of Pinnacle

Ryan Sitton joins the Houston Innovators Podcast to discuss his career in data and reliability. Photo courtesy of Ryan Sitton

Data analysis for big industry came first — before the technology that can support this analysis even entered the scene. Ryan Sitton, CEO and founder of Pinnacle, a Houston company that offers its clients streamline data management, joined the Houston Innovators Podcast to discuss his passion is using data to drive better decision making to drive more sustainable and reliable operations.

"I was basically doing data analytics in the mid 2000s before it was sexy. I was pulling together data in chemical plants and refineries and trying to predict how these plants would behave with the data I had," Sitton says. "I realized early on how there was so much opportunity here — but we don't have the technologies or the methodology to do it."

But over the years, the technology has caught up and now Sitton is able to provide clients with even more data-driven solutions. Click here to read more.

Julia P. Clarke, senior geotechnical manager in Houston at Raba Kistner Inc.

Julia P. Clarke knows what it's like to be the only woman in a room. Photo courtesy of Raba Kistner

Women in STEM are in Houston, writes Julia P. Clarke, an engineer at a local firm in town, but there's work to be done to making them stay. Supporting women across the science, technology, engineering, and mathematics fields begins in the classroom, she writes in a guest column for InnovationMap.

"I grew up in Jamaica and then immigrated to the United States. It wasn't until I was recognized by my high school teacher, Mrs. Owens, for my natural ability to excel in subjects like science and math that I fell in love with the basis of engineering," she explains. "Without the mentorship and investment of teachers and professionals throughout my career, I would not be where I am today." Click here to read more.

Phillip Yates, founder of Equiliberty

This founder is bridging the wealth gap for Black Houstonians. Photo courtesy of Equiliberty

Phillip Yates, a Houston-area attorney, envisioned a company that could solve the societal problems that perpetuate poverty. He started Equiliberty, a technology company that's part financial resource and part social network, to help provide underrepresented individuals with educational resources to secure financial success and a space to use their talents to create community-driven wealth.

The platform provides business development services, educational resources, access to capital, and mentorship to help users find financial independence.

"When I created Equiliberty, I envisioned a world where everybody has access to mentors," said Yates in a press release. "I know firsthand the importance of having a supportive network and community dedicated to your success." Click here to read more.

Ryan Sitton joins the Houston Innovators Podcast to discuss his career in data and reliability. Photo courtesy of Ryan Sitton

This Houston innovator is using data to power industrial reliability and sustainability

HOUSTON INNOVATORS PODCAST EPISODE 92

Ryan Sitton has had a varied career so far. Formerly working in oil and gas, he started his own company in 2006 to help companies to better utilize their data. Now, still leading Houston-based Pinnacle as CEO, Sitton works with the world's largest companies to solve their problems with data. He also served as Texas Railroad Commissioner and has written two books about decision-making and leadership.

Sitton joined the Houston Innovators Podcast to discuss how, despite the multiple hats he wears, at the core of his passion is using data to drive better decision making to drive more sustainable and reliable operations.

"I was basically doing data analytics in the mid 2000s before it was sexy. I was pulling together data in chemical plants and refineries and trying to predict how these plants would behave with the data I had," Sitton says. "I realized early on how there was so much opportunity here — but we don't have the technologies or the methodology to do it."

But over the years, the technology has caught up and now Sitton is able to provide clients with even more data-driven solutions.

"We go into the biggest companies of the world that are trying to have more reliability at the same time as lowering cost," Sitton explains. "We build models that pull together literally millions of pieces of data and we do a combination of engineering analysis and data analysis and data science to give them better predictions — better ways to run their facilities so that they are more sustainable and more profitable."

Sitton's two books — Crucial Decisions, which is out now, and the Myth of Status, which is coming later this year — also center around decision making and leadership.

He shares more about his time at the Texas Railroad Commision and shares how COVID-19 affected business — as well as shares his advice for startups tapping into data-driven solutions — on the episode. Listen to the full interview below — or wherever you stream your podcasts — and subscribe for weekly episodes.


Ryan Sitton's new book, "Crucial Decisions," touches on an array of topics and how data is the key to making the positive and impactful decisions. Photo via Getty Images

Houston energy expert on how big data yields more reliable results

Guest column

Abraham Maslow's hierarchy of need tells us that at our core, humans crave safety and sustenance. When you turn on the light each morning while getting ready for work, or when you check your bank account and see your paycheck arrived on schedule, we expect every aspect of our daily lives to work.

In today's world, we often take these things for granted, until reliability is threatened. Our dependency is revealed in the frenzy over a potential toilet paper shortage and in the panic buying of gasoline in a hurricane. When things in society are consistent, economies thrive. However, when you introduce fear and uncertainty, things begin to spiral. It is in these times that the decisions we make can have the biggest impact on the world around us.

The link between impactful decisions and reliability has brought our society to a pivotal moment in history. We have created a society so reliable and developed that even during the coronavirus lockdown, the basic needs of Americans could be met with only 25 percent of our workforce actively working. By increasing productivity using machines and systems, we have been able to improve our overall quality of life, but not without a price. As a result of such high improvement, we as a society have come to not only expect, but demand, reliability at all times.

When dependability waivers and anxiety rises, those in key decision-making positions are faced with unprecedented situations. Due to distress and a lack of understanding of certain situations, those in decision making positions are often times forced to make decisions based on rapid response and emotion. Because of this, consistency and reliability suffer.

A prime example of an emotional response is the coronavirus shutdown that occurred earlier this year. As a response to the growing fear and panic over the virus, major portions of our economy were shut down; schools were closed; and citizens were confined to their homes.

What followed was the bankruptcy of thousands of businesses, an unprecedented wave of fear throughout society and a disruption to the consistency of our daily lives. We have yet to know what lasting impacts this decision will have on our future economy or livelihood, but we now understand that rapid decision making is often met with long-term consequences.

While there will continue to be disagreements on all sides regarding the handling of the shutdown, what is undisputable is that we as a society have gained an opportunity to learn. We now have the unique advantage of using data in ways that has never been used before in order to make consistently better decisions, allowing us the opportunity to perform at levels we have never thought possible.

Whether it be data advancements in sports (think Billy Beane and the Oakland Athletics), or the progression of technology (continuous iPhone updates), we are able to study the improvements of data on society in order to make more reliable decisions. With more powerful data analytics and innovations in data sciences, we are able to positively impact the most vital components of our society in order to make decisions that will drive evolution and reliability.

As the world continues to progress, the decisions we are forced to make have become more complex. With each complicated decision comes the potential for lasting positive or negative impact on society. In shifting from emotional, rapid reactions towards more data and quantitative focused methods, we have the unique and unprecedented opportunity to make our world a more reliable, stable and creative place.

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Ryan Sitton is the founder of Pinnacle and the author of "Crucial Decisions."

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Houston college joins inaugural workforce accelerator supported by Google

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Houston City College (HCC) is one of 15 community colleges from around the country to be selected for the first-ever Workforce Futures Accelerator.

The three-year effort is supported by Google.org, the tech company’s philanthropic arm, and led by the Association of Community College Trustees (ACCT), a non-profit educational organization that represents over 500 community, junior, and technical colleges. The accelerator focuses on helping colleges embed virtual, employer-sponsored training opportunities into short-term workforce training programs, giving participants access to opportunities that they might otherwise receive through internships or other "work-based learning" stints.

"The Workforce Futures Accelerator reflects the Houston City College mission of offering a high-quality, affordable education for workforce training and career development," Pretta VanDible Stallworth, HCC trustee and chair-elect of the ACCT board of directors, said in a news release. "Advancing student success and creating pathways to opportunities ensures that our students are well equipped to succeed and build a secure future in today's economy.”

Through the accelerator, HCC is tasked with fusing online project-based learning opportunities with its workforce education programs. The idea is to give students hands-on experiences working on projects sponsored by employers, allowing them to gain real-world knowledge in the process.

HCC will select two workforce programs that meet the accelerator’s criteria and insert into them into coursework. In the second and third year of the accelerator, the selected colleges are expected to scale the programs by adding instructors and programs to develop a network of to support their continued implementation.

“Participation by HCC will strengthen how we provide students with career-connected learning experiences that complement their classroom education and align with the needs of employers,” HCC Chancellor Margaret Ford Fisher added in the news release. “We are focused on ‘future forward’ strategies to meet the present and future needs of our region’s businesses.”

Two other Texas colleges were chosen to participate in the accelerator: Lamar Institute of Technology in Beaumont and Grayson College in Denison.

The remaining cohort includes:

  • Bergen Community College in Paramus, New Jersey
  • Central Louisiana Community College in Alexandria, Louisiana
  • Clark State College in Springfield, Ohio
  • Great Basin College in Elko, Nevada
  • Heartland Community College in Normal, Illinois
  • Hudson County Community College in Jersey City, New Jersey
  • Manchester Community College in Manchester, New Hampshire
  • Mesa Community College in Mesa, Arizona
  • Mohave College in Kingman, Arizona
  • San Joaquin Delta Community College in Stockton, California
  • San Juan College in Farmington, New Mexico
  • West Virginia University Parkersburg in Parkersburg, West Virginia

New report ranks Texas among top 10 states where AI could disrupt jobs

AI Workforce

A new nationwide report examining where AI could "reshape" the most jobs has ranked Texas No. 9 among the most at-risk states for AI job disruption.

The new SmartAsset report compared all 50 states and the District of Columbia to calculate the estimated percent of the workforce employed in the 26 occupations with the highest AI exposure, as determined by June 2026 research by the Virginia Economic Information and Analytics Division.

The findings revealed that 500,000 Texas workers, or 3.55 percent of the total workforce, are employed in occupations with "high exposure to potential AI disruption."

This also places the Lone Star State as the 9th most at-risk state in the U.S. where AI exposure can lead to "declining hiring demand, wage pressure, task automation, and other forms of disruption."

"States with larger concentrations of highly exposed occupations could experience more pronounced labor-market changes, particularly in roles where core tasks are more vulnerable to AI-driven restructuring," the report's author wrote.

Texas' biggest cities, like Houston and Austin, are known for their thriving tech and business industries, and the study noted that many of the occupations within those sectors are the most at risk. The Virginia Economic Information and Analytics Division said the top five most AI-exposed occupations in the U.S. are: mathematicians, proofreaders, correspondence clerks, court reporters, and media and communication workers. Additionally, computer programmers, database administrators, web developers, telephone operators, and communications equipment operators round out the top 10 most at-risk positions.

These are the 16 remaining occupations most exposed to AI disruption, in order:

  • Data Entry Keyers
  • Statistical Assistants
  • Office Support Workers
  • Interpreters and Translators
  • Database Architects
  • Software Quality Assurance Analysts
  • Medical Transcriptionists
  • Software Developers
  • Writers and Authors
  • Payroll Clerks
  • Web Designers
  • Miscellaneous Computer Occupations
  • Insurance Claims Processors
  • Telemarketers
  • Computer Numerically Controlled Tool Programmers
  • Bookkeeping and Accounting Clerks

A separate SmartAsset report from April 2026 found about 20.5 percent of Texas workers use AI to do their jobs in some capacity. That trend will continue to shift further as employers and employees choose to adopt — or reject — AI implementation.

Across the U.S., Washington topped the list as the state with the highest concentration of AI-exposed jobs, with nearly 5.7 percent of the state's workforce employed in the 26 most at-risk positions. SmartAsset said Washington's high prevalence of technology companies is a significant factor that skyrocketed the state to the top of the list.

"Home to major technology companies including Microsoft, Amazon, T-Mobile and Expedia, the state has large numbers of computer programmers and software developers, two occupations with high exposure," the report said.

Meanwhile, Mississippi ranked No. 51 with the lowest concentration of AI-exposed jobs in the nation. About 22,500 workers in Mississippi, or 1.93 percent of its workforce, are at risk for AI disruption.

The top 10 states where AI could reshape the most jobs are:

  • No. 1 – Washington
  • No. 2 – Virginia
  • No. 3 – District of Columbia
  • No. 4 – California
  • No. 5 – Utah
  • No. 6 – Maryland
  • No. 7 – Colorado
  • No. 8 – New Hampshire
  • No. 9 – Texas
  • No. 10 – North Carolina
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This article originally appeared on CultureMap.com.

UH lands $1.2M NIH grant to fight superbugs using AI, quantum sensing

drug defense

The fight against antibiotic-resistant bacteria like MRSA is getting science fiction-like upgrades at the University of Houston thanks to a new four-year, $1.26 million grant from the National Institutes of Health.

The university says the recent funding brings total federal support up to $3.5 million for 11 years for the project, which uses AI and quantum-sensing technology to better understand how bacterial proteins develop resistance to drugs.

Any medical professional will tell you that one of the worst things that can happen is almost killing an infection. Bacteria that survive attacks from conventional antibiotic treatments emerge tougher, more resistant and more aggressive than before–making them much harder to treat. A good example is the superbug methicillin-resistant Staphylococcus aureus (MRSA).

UH chemistry professors Yuhong Wang and Shoujun Xu are working on this issue. They know full well that fighting superbugs requires new technology and new approaches, which is what they aim to pioneer with their new grant.

“Drug-resistant bacterial infections such as MRSA are becoming harder to treat, creating an urgent need for faster ways to understand how antibiotics and other small molecules interact with bacterial proteins,” Wang said in a news release.

Wang and Xu’s work centers around GTP, a cellular fuel that can cause tiny changes to a cell's structure when it mutates. Sometimes, those shape changes make it easier for drugs to breach the wall and attack the cells.

The UH scientists are employing AlphaFold, an AI-powered tool that can scan large molecular libraries in seconds. From these models, they can see promising drug combinations for future testing.

Once identified, the team uses their invention, super-resolution force spectroscopy, to monitor the cells. Tiny magnetic beads are attached to genetic material, then magnified to see how strong that material is when pulled. They can measure this incredible microscopic process through an atomic magnetometer, typically used in quantum physics. Combined, all these tools allow a high-definition look at how each molecule might respond to new chemical approaches.

“We're the only chemists in the world that use an atomic magnetometer for biological research,” Xu said. “It's a technique developed by physicists, and there is usually a gap between techniques developed by physicists and biological applications. Yuhong and I have been bridging that gap together for the past 10 years.”

Eventually, Wang and Xu hope to develop powerful software that can be used by drug manufacturers to model cellular responses. With enough predictive data, the software could even get ahead of superbugs’ own mutation, allowing drugs to be developed before new strains arrive.

"We want an algorithm where you input a protein sequence, score the mutation hotspots, and develop new inhibitors before a drug-resistant species even emerges," Wang added.

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