Here's what you should think about before rolling this hot new technology into your business. Photo via Getty Images

The world has been captivated by ChatGPT, an artificial intelligence program that can understand and respond to questions and statements using natural language, just like humans. It has been trained on a large amount of text data and uses this knowledge to generate helpful and informative responses to users.

As great and resourceful as this can be, there are some major aspects about it that can be harmful in a business setting, such as the inability to make personal connections. A sales manager using AI to write sales scripts cannot incorporate the emotional intelligence needed to form a connection. With the switch to AI and loss of this personal touch, the company’s close rate drops significantly, and the sales manager’s effort to find solution may just be to run more numbers in terms of contacts and sales attempts, which usually exacerbates the problem.

Another example of how ChatGPT can hurt your business is by relying on it to generate website and social media content. A business owner that believes ChatGPT will do the “heavy lifting” and grow his or her business is overlooking the importance of creating real and experiential marketing experiences for customers. Business owners can inadvertently spend entire budgets on AI driven social media ands and not have the sales numbers to cover these costs due to their low returns on investments for many industries and keep the business in operation.

The overarching theme, or danger behind ChatGPT, is that people are relying heavily on it to produce their work. After all, relying on technology is part of our human nature. When great technology is introduced, such as email, teleconferencing, AI assisted searching, etc., we rarely ask ‘how can this technology assist me?’ versus ‘how can this technology do things for me?’ The greater the technology, the greater likelihood humans will take the easiest path.

ChatGPT not only affects businesses, but it also applies to education. Teachers are already seeing a drop in math skills as kids carry around calculators. Just wait until next semester when educators are reading thousands of essays written by ChatGPT.

Just as we would hate to see our children deprive themselves of actual skills, the same can be said for our business people. Some of the main issues that arise from the use of ChatGPT are:

Diminishing Rates of Return

When we embrace technology to the point that we no longer put forth effort from a practiced skill set, we can expect to see declining engagement rates, click-through rates and customer loyalty. As of 2023, the online engagement rate has fallen from 5% to 0.06%. Click-through rates are not faring much better with a measly 6.3%. As these numbers continue to fall (which they have every year for the past couple decades now), we continue to just brush it off as this is how business is done.

Aversion in the Marketplace

People are becoming so displeased with technology driven processes (as opposed to technology assisted processes) that they have a strong aversion to companies using it. How many social media ads have prompted you to make a purchase? How many times do you provide a bogus email to a website form? When doing a search, how many times do you scroll to the bottom without looking and hit page two because you know you are not getting any real results on the first page anymore?

Yes, ChatGPT is cool and yes, there are some amazing uses you can implement into your business; however, do not look at it as the answer to any and all business problems. Embrace your craft as a leader and avoid subbing the work out to tech - doing so could cost you everything.

As a business owner myself, I am not opposed to technology. I am all in favor of what technology can do. However, there is no denying that the more we look to technology to do the work for us instead of with us, the more we see a drastic decline in the overall skill set of business people without an increase in business success rates.

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Josh Tolley is the founder of Kingsbridge LLC and is based in Houston.

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Houston researcher builds radar to make self-driving cars safer

eyes on the road

A Rice University researcher is giving autonomous vehicles an “extra set of eyes.”

Current autonomous vehicles (AVs) can have an incomplete view of their surroundings, and challenges like pedestrian movement, low-light conditions and adverse weather only compound these visibility limitations.

Kun Woo Cho, a postdoctoral researcher in the lab of Rice professor of electrical and computer engineering Ashutosh Sabharwal, has developed EyeDAR to help address such issues and enhance the vehicles’ sensing accuracy. Her research was supported in part by the National Science Foundation.

The EyeDAR is an orange-sized, low-power, millimeter-wave radar that could be placed at streetlights and intersections. Its design was inspired by that of the human eye. Researchers envision that the low-cost sensors could help ensure that AVs always pick up on emergent obstacles, even when the vehicles are not within proper range for their onboard sensors and when visibility is limited.

“Current automotive sensor systems like cameras and lidar struggle with poor visibility such as you would encounter due to rain or fog or in low-lighting conditions,” Cho said in a news release. “Radar, on the other hand, operates reliably in all weather and lighting conditions and can even see through obstacles.”

Signals from a typical radar system scatter when they encounter an obstacle. Some of the signal is reflected back to the source, but most of it is often lost. In the case of AVs, this means that "pedestrians emerging from behind large vehicles, cars creeping forward at intersections or cyclists approaching at odd angles can easily go unnoticed," according to Rice.

EyeDAR, however, works to capture lost radar reflections, determine their direction and report them back to the AV in a sequence of 0s and 1s.

“Like blinking Morse code,” Cho added. “EyeDAR is a talking sensor⎯it is a first instance of integrating radar sensing and communication functionality in a single design.”

After testing, EyeDAR was able to resolve target directions 200 times faster than conventional radar designs.

While EyeDAR currently targets risks associated with AVs, particularly in high-traffic urban areas, researchers also believe the technology behind it could complement artificial intelligence efforts and be integrated into robots, drones and wearable platforms.

“EyeDAR is an example of what I like to call ‘analog computing,’” Cho added in the release. “Over the past two decades, people have been focusing on the digital and software side of computation, and the analog, hardware side has been lagging behind. I want to explore this overlooked analog design space.”

12 winners named at CERAWeek clean tech pitch competition in Houston

top teams

Twelve teams from around the country, including several from Houston, took home top honors at this year's Energy Venture Day and Pitch Competition at CERAWeek.

The fast-paced event, held March 25, put on by Rice Alliance, Houston Energy Transition Initiative and TEX-E, invited 36 industry startups and five Texas-based student teams focused on driving efficiency and advancements in the energy transition to present 3.5-minute pitches before investors and industry partners during CERAWeek's Agora program.

The competition is a qualifying event for the Startup World Cup, where teams compete for a $1 million investment prize.

PolyJoule won in the Track C competition and was named the overall winner of the pitch event. The Boston-based company will go on to compete in the Startup World Cup held this fall in San Francisco.

PolyJoule was spun out of MIT and is developing conductive polymer battery technology for energy storage.

Rice University's Resonant Thermal Systems won the second-place prize and $15,000 in the student track, known as TEX-E. The team's STREED solution converts high-salinity water into fresh water while recovering valuable minerals.

Teams from the University of Texas won first and second place in the TEX-E competition, bringing home $25,000 and $10,000, respectively. The student winners were:

Companies that pitched in the three industry tracts competed for non-monetary awards. Here are the companies named "most-promising" by the judges:

Track A | Industrial Efficiency & Decarbonization

Track B | Advanced Manufacturing, Materials, & Other Advanced Technologies

  • First: Licube, based in Houston
  • Second: ZettaJoule, based in Houston and Maryland
  • Third: Oleo

Track C | Innovations for Traditional Energy, Electricity, & the Grid

The teams at this year's Energy Venture Day have collectively raised $707 million in funding, according to Rice. They represent six countries and 12 states. See the full list of companies and investor groups that participated here.

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This article originally appeared on our sister site, EnergyCapitalHTX.com.