3 ways artificial intelligence is changing Houston's future

Guest column

Artificial intelligence is changing Houston — one industry at a time. Photo via Getty Images

Artificial intelligence is the buzzword of the decade. From grocery shopping assistance to personal therapy apps, AI has sunk its teeth into every single industry. Houston is no exception to the AI boom. Enterprise-level companies and startups are already flocking to H-town to make their mark in AI and machine learning.

Since the world is generating more data every minute — 1,736 terabytes to be exact — Houston-based companies are already thinking ahead about how to make sense of all of that information in real-time. That's where AI comes in. By 2021, 80 percent of emerging technologies will have AI foundations — Houston is already ninth on the list of AI-ready cities in the world.

AI and machine learning can process large amounts of data quickly and use that data to inform decisions much like a human would. Here are three ways Houston-based companies are using these emerging technologies to revolutionize the city's future.

Health care

The health care industry is primed for AI's personalization capabilities. Each patient that doctors and nurses encounter has different symptoms, health backgrounds, and prescriptions they have to remember. Managing that amount of information can be dangerous if done incorrectly. With AI, diseases are diagnosed quicker, medications are administered more accurately, and nurses have help monitoring patients.

Decisio Health Inc., a Houston-based health tech startup has already made its mark in the healthcare industry with its AI software helping to tackle the COVID-19 pandemic. Their software, in collaboration with GE Healthcare Inc, allows health care providers to remotely monitor patients. By looking at data from ventilators, patient monitoring systems, health records, and other data sources, doctors can make better decisions about patients from a safe distance.

Climate change

Climate change isn't solved overnight. It's an issue that covers water salinity, deforestation, and even declining bee populations. With a problem as large as climate change, huge amounts of data are collected and need to be analyzed. AI can interpret all of that information, show possible future outcomes, track current weather patterns, and find solutions to environmental destruction.

One Houston-based company in the energy tech industry, Enovate Upstream, has created a new AI platform that will help digitize the oil and gas sector. Their AI-powered platform looks at data from digital drilling, digital completions, and digital production, to give oil companies real-time production forecasting. Their work will hopefully make their oil production more efficient and reduce their carbon emission output. Since oil drilling and fracking are a major cause for concern around climate change, their work will make a difference in slowing climate change and make their industry as a whole more climate-conscious.

Energy

Energy is an industry rich with data opportunities—and as Houston's energy sector grows, AI has become a core part of their work. Houston's large influence in the energy sector has primed it for AI integration from startups like Adapt2 Solutions Inc. By using AI and machine learning in their software, they hope to help energy companies make strategic predictions on how to serve energy to the public efficiently. Their work has become especially important in the wake of COVID-19 and the resulting changing energy needs.

Another Houston-based company using AI to influence the energy industry is the retail energy startup Evolve Energy. Their AI and machine learning system help customers find better prices on fluctuating renewable resource—helping them save money on electricity and reducing emissions. The positive feedback from the public on their AI model has shown how energy companies are using emerging technologies like AI in a positive way in their communities.

The bottom line

Houston is more primed than most cities to integrate AI and machine learning into every industry. While there are valid concerns as to how much we should lean on technology for necessary daily tasks, it's clear that AI isn't going anywhere. And it's clear that Houston is currently taking the right steps to continue its lead in this emerging AI market.

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Natasha Ramirez is a Utah-based tech writer.

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Houston's innovation ecosystem has been booming with news, and it's likely some might have fallen through the cracks.

For this roundup of short stories within Houston innovation, Texas Halo Fund makes three new investments, a Houston energy company exits, a growing Rice University startup gets grants, and more.

Octopus Energy acquires Houston-founded Evolve Energy

The $5 million deal means a new focus on Texas for the new parent company. Photo via evolvemyenergy.com

London-based renewable energy company Octopus Energy announced that it's acquired Houston-founded Evolve Energy in a $5 million deal, which represents Octopus's $100 million expansion into the United States market.

Octopus, which reached Unicorn status with a $1 billion valuation in April, will start its expansion in Texas, according to a news release, operating under the new name Octopus Energy US. Evolve Energy, which was founded in 2018 by Michael Lee, is a Texas-based Capital Factory portfolio company and finished first place in the 2019 EarthX startup competition. The company also has a Silicon Valley office, in addition to its local operation in Houston's Galleria area.

"Octopus Energy is inspirational in growing a customer base of over 1 million households in just four years. It has done so while also achieving customer satisfaction scores similar to Netflix and Amazon. It matches our aspiration for innovation and we're thrilled to be part of the Octopus family," says Lee in the release. "The US energy market is rapidly moving towards ultra-low cost renewable energy and is prime for a true digital transformation."

Texas Halo Fund makes three new investments

Here are the three latest investments from Texas Halo Fund. Getty Images

Houston-based Texas Halo Fund has made three recent investments in August and September.

Nexus AI, based in Chicago, the workforce management tech company uses artificial intelligence and organizational behavioral science to predict the best teams or individuals for a project on the startup's cloud-based platform.
Rellevate is a Connecticut-based digital fintech company that optimizes employer-based digital account and financial services.
MFB Fertility, a Colorado company, has created game-changing at-home test stripts for assaying the hormone progesterone branded as Proov.

Rice University program seeking data projects

The Rice D2K Lab wants to help startups and small businesses solve business concerns with data science. Photo courtesy of Rice

Adata-focused lab at Rice University is seeking data challenges for its group of next generation of data scientists to solve. The Rice D2K Lab is looking for sponsors for its Rice D2K Capstone project in Spring 2021. Rice's D2K Capstone program forms interdisciplinary teams of advanced undergraduate and graduate students to solve pressing real-world data science challenges. The program is accepting project proposals for the Spring 2021 semester through Monday, October 19.

Click here to learn more about the program, and click here to get involved.

California startup joins Chevron's Catalyst Program

CTV has a new startup in its Catalyst Program. Photo via Getty Images

Houston-based Chevron Technology Ventures announced that Oakland, California-based Brimstone Energy Inc. has joined CTV's Catalyst Program to continue its development of its decarbonization platform, which focuses on the generation of low-emissions hydrogen, as well as various commodity products, according to a release.

"Brimstone Energy is excited to be supported by Chevron, a multi-national industrial company," says Cody Finke, Ph.D., co-founder and CEO of Brimstone Energy, in the release. "It is good to see Chevron continue to back companies with decarbonization in their mission."

Rice University-born startup racks up $12.5 million in grants

OpenStax is growing its access to free online textbooks. Image via openstax.org

Rice University's OpenStax is able to greatly expand its library of free online textbooks thanks to new grants totaling $12.5 million. The funds derive from Bill & Melinda Gates Foundation, the William and Flora Hewlett Foundation, the Charles Koch Foundation and the Stand Together community, according to a press release from Rice.

The new funds will more than double OpenStax's files from 42 books to 90. Already, the platform has saved 14 million students around the world more than $1 billion.

"Nine years ago, we dreamed about solving the textbook affordability and access crisis for students," says Richard Baraniuk, the Victor E. Cameron Professor of Electrical and Computer Engineering at Rice and founder and director of OpenStax, in the release. "Now, with this tremendous investment in open education, we will be able to not only accelerate educational access for tens of millions of students but also drive innovation in high-quality digital learning, which has become commonplace due to COVID-19."

OpenStax is planning to raise $30 million for continued library expansion as it aims to lower the barrier to higher education.

Houston-based Evolve Energy uses a subscription-based wholesale energy plan to help its customers find better prices for more sustainable resources. Photo via evolvemyenergy.com

AI-backed retail energy startup based in Houston prepares to grow its technology

new tech

A wholesale retail energy startup based in Houston is preparing to scale its artificial intelligence-backed business based on its positive customer feedback

Evolve Energy uses AI and machine learning to optimize energy usage, providing customers with the best wholesale energy prices on fluctuating renewable resources.

"We want to help our customers save a significant amount of money on electricity costs and help them decarbonize the grid," CEO Michael Lee tells InnovationMap."There's been a serious of emerging events that enable us to do both at the same time, it's no longer a choice."

Evolve Energy, founded in 2018, sells wholesale electricity at cost to residential customers in Texas, charging a $10 monthly subscription fee plus the cost of wholesale electricity. Using their AI technology, they predict when price surges are likely and determine how much energy the customer needs to hit the parameters set on the app by the customer and usage history. The customer does not need to do anything but pair Evolve with their smart thermostat.

According to Lee, this enables customers to continue to use the same volume of electricity but cut their bill by 40 percent over the course of a year. Evolve uses a different business model, positioning itself not as energy providers but as efficient energy managers, passing their wholesale rate with no markup for even more savings to the customer.

"It builds a lot of trust between the customer and the supplier, they truly see that our incentive is to save them money and not to sell them any more power," Lee says.

With the increasing trend of electrification, Lee sees the role of energy companies grow in importance. This gives energy managers like Evolve a magnified role as machine learning and AI becomes imperative to shift consumption when renewables are cheaper on the grid.

Evolve is backed by several investors including Matt Rogers, the original co-founder of Nest thermostats through his investment platform, Incite; Urban-X funded by BMW MINI which focuses on smart applications; and the Austin-based startup accelerator and investor, Capital Factory.

The company has been officially on the market for the past two months, but it's already working on deploying capital to build in features requested by customers. Evolve expects significant growth in the next few years due to its highly scalable model.

"I'm just glad we could create a product that no longer makes it a choice between reducing emissions and saving money," Lee says.

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Houston researchers develop material to boost AI speed and cut energy use

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A team of researchers at the University of Houston has developed an innovative thin-film material that they believe will make AI devices faster and more energy efficient.

AI data centers consume massive amounts of electricity and use large cooling systems to operate, adding a strain on overall energy consumption.

“AI has made our energy needs explode,” Alamgir Karim, Dow Chair and Welch Foundation Professor at the William A. Brookshire Department of Chemical and Biomolecular Engineering at UH, explained in a news release. “Many AI data centers employ vast cooling systems that consume large amounts of electricity to keep the thousands of servers with integrated circuit chips running optimally at low temperatures to maintain high data processing speed, have shorter response time and extend chip lifetime.”

In a report recently published in ACS Nano, Karim and a team of researchers introduced a specialized two-dimensional thin film dielectric, or electric insulator. The film, which does not store electricity, could be used to replace traditional, heat-generating components in integrated circuit chips, which are essential hardware powering AI.

The thinner film material aims to reduce the significant energy cost and heat produced by the high-performance computing necessary for AI.

Karim and his former doctoral student, Maninderjeet Singh, used Nobel prize-winning organic framework materials to develop the film. Singh, now a postdoctoral researcher at Columbia University, developed the materials during his doctoral training at UH, along with Devin Shaffer, a UH professor of civil engineering, and doctoral student Erin Schroeder.

Their study shows that dielectrics with high permittivity (high-k) store more electrical energy and dissipate more energy as heat than those with low-k materials. Karim focused on low-k materials made from light elements, like carbon, that would allow chips to run cooler and faster.

The team then created new materials with carbon and other light elements, forming covalently bonded sheetlike films with highly porous crystalline structures using a process known as synthetic interfacial polymerization. Then they studied their electronic properties and applications in devices.

According to the report, the film was suitable for high-voltage, high-power devices while maintaining thermal stability at elevated operating temperatures.

“These next-generation materials are expected to boost the performance of AI and conventional electronics devices significantly,” Singh added in the release.

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Texas falls to bottom of national list for AI-related job openings

jobs report

For all the hoopla over AI in the American workforce, Texas’ share of AI-related job openings falls short of every state except Pennsylvania and Florida.

A study by Unit4, a provider of cloud-based enterprise resource planning (ERP) software for businesses, puts Texas at No. 49 among the states with the highest share of AI-focused jobs. Just 9.39 percent of Texas job postings examined by Unit4 mentioned AI.

Behind Texas are No. 49 Pennsylvania (9.24 percent of jobs related to AI) and No. 50 Florida (9.04 percent). One spot ahead of Texas, at No. 47, is California (9.56 percent).

Unit4 notes that Texas’ and Florida’s low rankings show “AI hiring concentration isn’t necessarily tied to population size or GDP.”

“For years, California, Texas, and New York dominated tech hiring, but that’s changing fast. High living costs, remote work culture, and the democratization of AI tools mean smaller states can now compete,” Unit4 spokesperson Mark Baars said in a release.

The No. 1 state is Wyoming, where 20.38 percent of job openings were related to AI. The Cowboy State was followed by Vermont at No. 2 (20.34 percent) and Rhode Island at No. 3 (19.74 percent).

“A company in Wyoming can hire an AI engineer from anywhere, and startups in Vermont can build powerful AI systems without being based in Silicon Valley,” Baars added.

The study analyzed LinkedIn job postings across all 50 states to determine which ones were leading in AI employment. Unit4 came up with percentages by dividing the total number of job postings in a state by the total number of AI-related job postings.

Experts suggest that while states like Texas, California and Florida “have a vast number of total job postings, the sheer volume of non-AI jobs dilutes their AI concentration ratio,” according to Unit4. “Moreover, many major tech firms headquartered in California are outsourcing AI roles to smaller, more affordable markets, creating a redistribution of AI employment opportunities.”

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