6 ways Houston startups and small businesses can integrate AI, machine learning

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AI and ML have ceased to be distant dreams of the future, becoming accessible tools that can revolutionize the way startups and small businesses operate. Photo via Getty Images

In today's fast-paced and technologically driven world, artificial intelligence and machine learning have emerged as transformative technologies that hold immense potential for startups and small businesses. While AI was once perceived as the domain of large corporations, it has become increasingly accessible, enabling startups and small businesses to leverage its capabilities to drive growth, enhance efficiency, and gain a competitive edge.

To start, AI is computer software that mimics the ways humans think in order to perform complex tasks, such as analyzing. ML is a subset of AI that uses algorithms trained on data to produce models that can perform complex tasks. The terms are often interchangeable.

Let’s explore how startups and small businesses can tap into the power of AI and ML right now to make a tangible impact on their business operations.

1. Streamlining Operations with Intelligent Automation

One of the primary advantages of AI and ML is their ability to automate repetitive and time-consuming tasks. Startups and small businesses can employ AI-powered chatbots to handle customer inquiries, freeing up valuable human resources and improving response times. Using chatbots in the past has been associated with a negative customer experience but is now more personal due to natural language processing (NLP) and offers the quick, convenient experience customers are looking for. ML algorithms can also automate data entry, data analysis, and report generation, reducing errors and boosting productivity. If you’re a business with regular customer interaction, you can implement a chatbot service. There are many chatbot service providers to explore with different price points.

2. Personalized Customer Experiences

AI and ML algorithms excel at processing vast amounts of data and extracting meaningful insights. By leveraging customer data, startups and small businesses can employ AI-driven recommendation systems to deliver personalized product recommendations, tailored marketing campaigns, and customized user experiences. This level of personalization enhances customer satisfaction, engagement, and ultimately, loyalty. For businesses with large amounts of data, you can implement a machine learning model into a basic application such as Excel. Just like chatbot service providers, there are many ML applications to choose from.

3. Enhanced Decision-Making with Predictive Analytics

Startups and small businesses often face the challenge of making informed decisions amidst uncertainty. AI and ML models can analyze historical data, identify patterns, and generate accurate predictions for various business aspects, such as demand forecasting, sales projections, and inventory management. Armed with these insights, business owners can make data-driven decisions that optimize their operations, reduce costs, and maximize profitability. Similar to creating a personalized customer experience, businesses can use ML to sift through large amounts of data, providing insights into trends not just with text, but also intention.

4. Improving Marketing and Sales Strategies

AI and ML have revolutionized marketing and sales strategies, offering startups and small businesses the ability to target the right audience with precision. Natural language processing (NLP) enables sentiment analysis, allowing businesses to gauge customer opinions and adapt their strategies accordingly. AI-powered tools can also automate lead generation, lead scoring, and customer segmentation, enabling businesses to focus their efforts on high-potential leads and optimize conversion rates. Many common CRM platforms incorporate AI with price points for small businesses.

5. Enhanced Cybersecurity and Fraud Detection

Startups and small businesses are not immune to cyber threats and fraudulent activities. AI and ML can fortify their security measures by analyzing network traffic patterns, detecting anomalies, and identifying potential threats. ML algorithms can detect fraudulent transactions in real-time, safeguarding businesses from financial losses. By deploying AI-driven cybersecurity measures, startups and small businesses can protect their data and ensure the trust of their customers.

6. Efficient Supply Chain Management

For startups and small businesses that rely on efficient supply chain management, AI and ML offer significant benefits. These technologies can optimize inventory levels, anticipate supply chain disruptions, and streamline logistics. By analyzing historical data and real-time information, AI algorithms can identify optimal delivery routes, reduce transportation costs, and minimize delays. This level of efficiency contributes to better customer service and higher customer satisfaction.

AI and ML have ceased to be distant dreams of the future, becoming accessible tools that can revolutionize the way startups and small businesses operate. It is crucial to recognize that successful implementation of these technologies requires careful planning, data quality, and ongoing monitoring. Startups and small businesses that embrace AI and ML now will position themselves as industry leaders, driving growth, and securing a competitive advantage in the dynamic business landscape of today and tomorrow.

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Terence Low is the founder and CEO of Codistas IT Services.

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UTHealth Houston officially opens new tower in TMC's Helix Park

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UTHealth Houston School of Public Health recently opened its new state-of-the-art tower in the Texas Medical Center’s Helix Park.

The 350,000-square-foot, 10-story campus at 1930 Old Spanish Trail was celebrated with an official ribbon-cutting ceremony on Oct. 28. The $229 million project will consolidate all UTHealth Houston School of Public Health operations into one facility. It will also connect students who are at the Austin, Brownsville, Dallas, El Paso and San Antonio campuses with peers and faculty through digital and distance learning.

Disciplines taught in the new tower will include epidemiology, genetics, nutrition, health policy, data science and health promotion, UTHealth shared when the building first broke ground in 2023.

Architects Kirksey Architecture and Smith Group designed the building, and Vaughn Construction served as general contractor. The facility features labs for studying human disease, classrooms and spaces to support interdisciplinary and community-based research, a broadcast studio and a teaching kitchen. A skybridge over Old Spanish Trail connects the new tower with a plaza that's shared with MD Anderson.

“This new facility reflects the kind of forward-looking investment that will serve Texans for generations,” Janiece Longoria, vice chairman of the UT System Board of Regents, said in a news release. “By creating an environment where talented people can learn, collaborate, and pursue new ideas, UTHealth Houston is building capacity to meet the challenges of tomorrow while strengthening its impact across our state.”

UTHealth says the system aims for the new campus to expand on collaborative research efforts and continue graduate education, as enrollment at the School of Public Health has increased by 27 percent over the last five years.

“This new building, with its state-of-the-art education technology and learning environment, will strengthen and advance the school’s mission to educate and train the next generation of experts who will advance scientific discovery, shape evidence-based health policy, and lead innovative solutions to the complex health challenges in communities throughout Texas and across the nation,” Kevin Morano, senior vice president, provost and chief academic officer of UTHealth Houston, added in a news release.

Attending the ceremony were Dr. Melina R. Kibbe, UTHealth Houston president and Alkek Williams Distinguished Chair; Eric Boerwinkle, dean, M. David Low Chair in Public Health and Kozmetsky Family Chair in Human Genetics at the School of Public Health; Texas State Representative Lauren Ashley Simmons, Texas House District 146; representatives of the offices of Senator John Cornyn and Harris County Commissioner Rodney Ellis; and Dr. Theresa Tran, director of the Houston Health Department.

"This building represents far more than a home for our school,” Boerwinkle added in the release. “It represents the people who make our mission possible: the faculty, staff, and students who fill each laboratory and classroom with curiosity, discovery, and purpose to improve the population’s quality of life.”

Rice University breaks ground on new innovation hub, The Arc

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Construction is officially underway on Rice University's The Arc in Houston’s Ion District.

The university broke ground on the 200,000-square-foot research, corporate innovation and office building on Nov. 4. The facility will share a plaza with the existing Ion building, fostering collaboration within the innovation space, according to Rice.

“The Arc will bring Rice’s extraordinary research and talent and Houston’s impactful innovation ecosystem into even closer connection with the industries and innovators working to solve some of the world’s most consequential challenges,” Rice President Reginald DesRoches said in an announcement. “That constant exchange of ideas and expertise will help move discoveries more rapidly from the laboratory to real-world impact.”

Construction is scheduled to be completed by Q2 2028. Rice Real Estate Co. is developing the project, and Rice University will occupy about 80,000 square feet in the building (about 40 percent). Preleasing has begun, with floor plans ranging from 28,000 to 31,000 square feet.

The Arc will feature conference and meeting spaces, an amenity lounge, fitness center, outdoor plazas, underground parking, and on-site retail and dining, according to the release.

It aims to host tenants focused on artificial intelligence and machine learning, data science, robotics, quantum science and engineering and energy, including Rice's new AI Foundry.

Rice says the AI Foundry will be a space where university experts and partners can support organizations with AI challenges. Rice recently committed to hiring 75 new AI-focused faculty and announced plans to launch a new Master of Artificial Intelligence (MAI) next fall.

“The AI Foundry is exactly the kind of collaboration the Arc is designed to enable,” Amy Dittmar, the Howard R. Hughes Provost and executive vice president for academic affairs at Rice, added in the release. “By bringing Rice researchers together with industry partners in a shared environment, we can accelerate the movement of ideas from research into practical applications while helping organizations build the capabilities they need to succeed as AI continues to evolve.

Developers of The Arc are targeting LEED Gold certification by incorporating smart building automation and energy-saving features into the project's design. Rice first announced the project in September 2025.

Rendering courtesy Bogza

Houston battery tech startup FlowCellutions acquired by Katy energy co.

M&A

Katy-based TerraFlow Energy, an energy storage and infrastructure company, has acquired Houston-based battery technology startup FlowCellutions. Financial terms weren’t disclosed.

FlowCellutions still operates under its established name, but with the tagline “A TerraFlow Energy Company.” Becca Segel, founder and CEO of FlowCellutions, now runs the business as its president.

FlowCellutions specializes in electrochemical sensing, diagnostics, analytics, and testing that offer insights into battery chemistry, charging capabilities, and system performance.

“FlowCellutions has always been focused on developing better ways to understand what is happening inside a flow battery and using that information to improve how these systems perform,” Segal said in a press release. “Joining TerraFlow gives us the opportunity to apply that work at a much larger scale while continuing to build the capabilities and expertise that make FlowCellutions unique.”

The FlowCellutions platform supports data centers and other heavy users of power. It’s designed to help reduce operating costs, prevent failures and costly downtime, and extend battery lifetime from about seven years to more than 30 years.

Segel founded the company in 2022. A member of Greentown Labs, the company raised more than $2 million in non-dilutive funding and received $1.5 million in National Science Foundation funding earlier this year.

FlowCellutions is one of five finalists in the Energy Transition Business category of InnovationMap’s 2026 Houston Innovation Awards.

“FlowCellutions brings a depth of scientific and technical expertise that fits naturally with where TerraFlow is going,” Jon Parrella, CEO of TerraFlow, said in the release.

“As we move from developing these systems to deploying them at commercial scale, understanding performance at a deeper level matters,” he said. “Bringing FlowCellutions into TerraFlow strengthens that capability and gives both teams more opportunity to advance the technology.”TerraFlow, founded in 2024, develops long-duration energy storage and power infrastructure for data centers, industrial facilities, utilities and other large power consumers.

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This article originally appeared on EnergyCapitalHTX.com.

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