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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2 leading Texas universities rank among world’s best for entrepreneurs

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The Lone Star State’s two biggest universities—the University of Texas at Austin and Texas A&M University—rank among the world’s best schools for entrepreneurs.

PitchBook’s annual list of the world’s top 100 universities for entrepreneurs takes into account both undergraduate and graduate programs. PitchBook analyzed more than 222,000 startup founders whose startups are VC-backed.

UT’s “unique” advantage

UT Austin landed at No. 10 on the list, down from No. 8 last year. PitchBook identified 1,002 UT-alumni founders at 948 startups. Collectively, those startups have raised $34.7 billion, according to PitchBook.

Among the 948 UT Austin-affiliated startups, these five have raised the most capital:

  • No. 1 Tucson, Arizona-based World View, $2.8 billion
  • No. 2 Austin-based Apptronik, $966 million
  • No. 3 Mountain View, California-based Lightmatter, $821 million
  • No. 4 Austin-based Function Health, $807 million
  • No. 5. San Francisco-based Niantic, $779 million

“The unique UT Austin advantage is the alignment between the university and the city,” Foundra.ai says. “Unlike schools where the campus ecosystem and the local startup scene are disconnected, Austin’s startup community actively recruits UT students and alumni, and UT programs actively send students into the local ecosystem.”

Texas A&M’s “living laboratory”

UT Austin’s biggest in-state rival, Texas A&M, appeared at No. 79 on the list, down from No. 76 last year. PitchBook tallied 317 A&M-alumni founders at 295 startups. Collectively, those startups have raised $9.8 billion, according to PitchBook.

Among the 317 A&M-affiliated startups, these five have raised the most capital:

  • No. 1 Austin-based RigUp, $817 million
  • No. 2 Austin-based ICON, $543 million
  • No. 3 Scottsdale, Arizona-based HomeLight, $413 million
  • No. 4 Everett, Washington-based Zap Energy, $326 million
  • No. 5 San Diego-based Splice Therapeutics, $320 million

A cornerstone of Texas A&M’s entrepreneurship offerings is the Center for Applied Entrepreneurship and Innovation at the Mays School of Business. The business school says the center “helps students explore, test, build, buy, and transform businesses in real markets.”

“Grounded in Texas as a living laboratory and guided by the Aggie core values, the center advances applied learning through industry engagement, AI-enabled experimentation, and collaboration across Mays and Texas A&M,” the business school says.

The most “exceptional” schools on PitchBook’s list

In announcing its rankings, PitchBook said: “Great entrepreneurs can come from anywhere, but some universities have a truly exceptional track record of attracting and producing future founders.”

The most exceptional universities, based on PitchBook’s criteria, are:

  • No. 1 University of California, Berkeley
  • No. 2 Stanford University
  • No. 3 Harvard University
  • No. 4 Cornell University
  • No. 5 Massachusetts Institute of Technology (MIT)

Planned KBR spinoff scores $1B NOAA deal for extreme weather forecasting

weather watch

Amid a major spinoff, Houston-based KBR's Mission Technology Solutions business has been awarded a five-year contract for up to $1.1 billion from NOAA’s National Weather Service to help predict and combat extreme weather conditions.

Under the follow-on Commercial Data Program National Mesonet Program (CDP NMP) contract, KBR will provide weather and observational data from commercial stations, university and research campuses, and other non-federal providers nationwide. The information collected will assist in predicting severe temperatures and high-impact weather conditions like extreme storms.

"This award underscores KBR's proven track record of delivering vital data that strengthens national forecasting capabilities," Todd May, KBR’s senior vice president of Mission Technology Solutions, said in a news release.

According to a separate release from NOAA, the contract expands upon KBR's existing relationship with the agency. KBR will work with about 70 private industry partners on services such as data recording, collection, aggregation and processing, and will lead the CDP NMP's "network of networks."

“NOAA gathers environmental information from a wide variety of sources, and a growing list of private industry partners have joined our agency to collect this vital data,” Ken Graham, director of NOAA’s National Weather Service, said in the release. “This agreement streamlines the process that turns raw data into the gold-standard forecasts that Americans depend on.”

KBR will utilize its Speed to Mission ImpactSM technology for the project to supply data from across regions, measurement types, and system configurations. Both KBR and NOAA say the expanded data collection contract will help the agency create more accurate and timely forecasts, particularly for severe weather and extreme events, while also creating a path for new weather-observation technologies.

KBR has supported the CDP NMP for more than 9 years. The program will be managed in Greenbelt, Maryland.

"We're driving expanded integration of commercial sensor and data sources into this platform and are honored to know our work helps forecasters give their communities earlier warnings and more time to prepare for dangerous weather,” May added in a release.

KBR’s Mission Technology Solutions business will be rebranded as Trinzic after its planned spin-off, the company announced last month. The spin-off is expected to close in January 2027.

Trinzic will work as an independent, publicly traded company focused on technology and engineering services for the space and national security sector. KBR will remain a separate publicly traded company that will focus on sustainable technology and services to support the energy transition.

This is the salary required to live comfortably in Texas in 2026

Money Matters

A new national report looking at the income it takes to live comfortably in each of the 50 states has revealed Texans need to earn slightly less now than a year ago.

SmartAsset analyzed what a single individual, as well as family of four, must earn to cover minimum basic needs adjusted using the 50/30/20 budgeting rule. The resulting estimate represents the annual, pre-tax income needed to live comfortably in every U.S. state.

A single, full-time worker needs to make $90,563 to live comfortably in the Lone Star State, the report found, which is down a meager 0.2 percent from last year ($90,771).

Under the 50/30/20 budgeting strategy, that means a single Texas earner would have $45,282 to spend on necessities like housing and utilities, $27,169 for discretionary spending, and $18,113 for emergencies or retirement savings.

Texas ranked 34th nationally in SmartAsset's list of states with the highest income needed for a single adult to live "in sustainable comfort" in 2026. Only five other states — Tennessee, Maryland, Louisiana, North Carolina, and Mississippi — saw a decline in the income needed to live comfortably this year.

For a family of four to live comfortably in Texas, income requirements change significantly, according to the findings. To support a two-child household, a family needs $203,424 in combined total household income to be considered financially stable. This is down slightly from 2025, when SmartAsset reported a family of four in needed $204,922 to live comfortably in Texas.

This is a comfortable lifestyle for a family of four in Texas, according to the report:

  • $101,712 dedicated to necessities and living expenses
  • $61,027 dedicated to discretionary spending
  • $40,685 dedicated to emergencies, savings, or debt repaymen

According to the report, a family of four now needs to make at least $200,000 to live comfortably in 40 U.S. states, a figure that is far out of reach for many American families.

"As housing, grocery, transportation and other essential costs pressure household budgets, earning a six-figure salary no longer guarantees financial comfort in much of the U.S.," the report said. "A single adult now needs at least $80,000 a year to live comfortably in every state, while the threshold exceeds $100,000 in nearly half of states. For a family of four, the income needed to live comfortably is as much as $329,000."

Still, earning the minimum income to live comfortably in Texas doesn't guarantee financial stability in the Lone Star State's major cities. Earlier this year, SmartAsset determined single residents in Houston need to make about $90,000 to qualify as financially stable, while families of four need around $205,000.

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This article originally appeared on CultureMap.com.

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