This Houston expert describes the main phases central to any innovation journey. Photo courtesy of Slalom

As a technologist, one thing I learned early in my career about the technology landscape is its constant improvements and I understood that companies who kept up with those changes remain successful and competitive. However, only companies mastering a disciplined innovation framework are truly able to harness the power of emerging tech to help them solve their most complex business challenges.

Innovative solutions come in all shapes and sizes, but not all of them should come to life. Specifically, when considering digital solutions, there are a few widely accepted innovation approaches in the product engineering field. This quick guide describes the main phases central to any innovation journey.

Feasibility Study

Ideating can be fun but executing a feasibility study will ground you on what will work and what may still be science fiction. The thought here is to spend two to four weeks doing research and talking to experts to answer a few key questions that will help you determine the feasibility of your idea or concept. Through the study, you will learn how to look at it from both a technology and a business perspective. More importantly, to answer the question 'Is it even possible to accomplish your goal with this technology?'

A subject matter expert (SME) will quickly tell you yes or no and why. If you find the technology is indeed suitable, then you will move on to evaluate the business feasibility. Does it make financial sense? Does it work within established business policies? Will there be a healthy Return On Investment (ROI) within an acceptable timeline? If you find positive responses to those questions, then you should feel confident to move on to a Proof of Concept (PoC) or even jump to a Minimum Viable Product (MVP). On the other hand, if either the technology is not feasible or the solution doesn't make business sense, then you've just saved yourself a lot of time, budget, and possibly headaches.

Proof of Concept

This phase is about testing the theory and proving the hypothesis, technically speaking. You'll need to go through a Proof of Concept if the technology solution you have in mind hasn't been tested in either a lab setting or in the field. Thinking outside of the box and innovating is all about trying new approaches and solving problems in a novel way, so you'll have to spend the time and budget ensuring it will work as expected. However, you must be very careful to not get carried away.

A proper PoC should take four to six weeks, max. It should help you quickly determine whether the technology will live up to its promise or if you need to pivot to another approach. Building a team with the right skillset is vital to this process because they are the ones evaluating the proposed solution and comparing it to the expected outcomes. Any signs of discord should empower the team to stop the project, saving further investment, and should help you decide if another approach is even possible. If all criteria has been met, then move on to the MVP stage.

Minimum Viable Product

At this point, you have confirmed the solution you imagined works and you are ready to unlock its potential. But you must start small. You must prioritize all the features you want this product to have and decide what the core functionality should be. This is important because if you choose too many features to start with, you may initially spend too much money and time and may even miss a window of business opportunity you may have lined up. Hence the name of the MVP, it is a product that employs the minimum time, money, and features while still being a viable product.

In summary, if you have an innovative idea for a technology solution, I recommend you first determine whether it's feasible, both technology and business wise, through a short and focused study. If feasible, then you can put that concept to the test through a PoC and determine its desirability. If this product is indeed desirable, then moving into building an MVP will help you understand its viability – and that is how you can successfully innovate while keeping risks at bay.


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Alfredo Arvide is the director for the products and innovation practice at Slalom Consulting in Houston, where he helps clients solve their most complex business challenges by leveraging emerging technologies and applying innovative technology solutions.

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Rice University MBA programs rank among top 5 in prestigious annual report

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Rice University’s Jones Graduate School of Business MBA programs have been ranked among the top five in the country again in The Princeton Review’s 2025 Best Business Schools rankings.

The university's MBA program in finance earned a No. 3 ranking, climbing up two spots from its 2024 ranking. Finance MBA programs at the University of Virginia's Darden Graduate School of Business and New York University's Leonard N. Stern School of Business were the only ones to outrank Rice, claiming No. 2 and No. 1 spots, respectively.

Rice's online MBA program was ranked No. 5, compared to No. 4 last year. Indiana University's Bloomington Kelley School of Business' online program claimed the top spot.

“These rankings reflect the commitment of our faculty and staff, the drive and talent of our students and the strong support of our alumni and partners,” Peter Rodriguez, dean of Rice Business, said in a news release. “They are exceptional honors but also reminders — not just of our top-tier programs and world-class faculty and students but of our broader impact on the future of business education.”

Rice also ranked at No. 6 for “greatest resources for minority students."

The Princeton Review’s 2025 business school rankings are based on data from surveys of administrators at 244 business schools as well as surveys of 22,800 students enrolled in the schools’ MBA programs during the previous three academic years.

"The schools that made our lists for 2025 share four characteristics that inform our criteria for designating them as 'best': excellent academics, robust experiential learning components, outstanding career services, and positive feedback about them from enrolled students we surveyed," Rob Franek, The Princeton Review's editor-in-chief, said in a press release. "No b-school is best overall or best for all students, but to all students considering earning an MBA, we highly recommend these b-schools and salute them for their impressive programs."

Rice's finance program has ranked in the top 10 for eight consecutive years, and its online MBA has ranked in the top five for four years.

Rice and the University of Houston also claimed top marks on the Princeton Review's entrepreneurship rankings. Rice ranks as No. 1 on the Top 50 Entrepreneurship: Grad list, and the University of Houston ranked No. 1 on Top 50 Entrepreneurship: Ugrad. Read more here.

Houston named ‘star’ metro for artificial intelligence in new report

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A new report declares Houston one of the country’s 28 “star” hubs for artificial intelligence.

The Houston metro area appears at No. 16 in the Brookings Institution’s ranking of metros that are AI “stars.” The metro areas earned star status based on data from three AI buckets: talent, innovation and adoption. Only two places, the San Francisco Bay Area and Silicon Valley, made Brookings’ “superstar” list.

According to Brookings, the Houston area had 11,369 job postings in 2024 that sought candidates with AI skills, 210 AI startups (based on Crunchbase data from 2014 to 2024), and 113 venture capital deals for AI startups (based on PitchBook data from 2023 to 2024).

A number of developments are boosting Houston’s AI profile, such as:

Brookings also named Texas’s three other major metros as AI stars:

  • No. 11 Austin
  • No. 13 Dallas-Fort Worth
  • No. 40 San Antonio

Brookings said star metros like Houston “are bridging the gap” between the two superstar regions and the rest of the country. In 2025, the 28 star metros made up 46 percent of the country’s metro-area employment but 54 percent of AI job postings. Across the 28 metros, the number of AI job postings soared 139 percent between 2018 and 2025, according to Brookings.

Around the country, dozens of metros fell into three other categories on Brookings’ AI list: “emerging centers” (14 metros), “focused movers” (29 metros) and “nascent adopters” (79 metros).