AI's true potential lies in its ability to enhance human capabilities, not replace them. Photo via Getty Images

The rapid advancement of artificial intelligence is forcing businesses to evaluate how they will manage the inevitable changes this technology will bring. With its ability to automate tasks, analyze large amounts of data, and provide detailed insights, AI offers an enormous opportunity for businesses of all sizes. However, realizing this potential requires a strategic approach that positions AI as a powerful partner, rather than a replacement for human ingenuity.

The British Council reports that an estimated 65 percent of today's students will eventually work in professions that have yet to be conceived. With the emergence of new AI, this projection emphasizes the importance of cultivating a versatile skill set that allows us to adapt to the ever-changing landscape. It also underscores the importance of having a strategy that embraces the division of labor between humans and machines.

What this means is that an AI strategy shouldn't just be about automation – it should also incorporate an understanding of the human-AI partnership that will be necessary for future success. By using the concepts of automation, augmentation, and autonomy, businesses can unlock the full potential of AI to boost efficiency, enhance decision-making, and ultimately drive continued success.

Automation: Delegating to the AI

We know AI can automate many tasks in a business. However, we should also look at automation from a strategy standpoint by asking, "What tasks can be fully delegated to the AI?" Answering this question might include considering routine, repetitive, and time-consuming tasks that shouldn't require human intervention or those that would be more susceptible to human error. The goal here should be to identify tasks that don't benefit from human nuance, meaning asking questions about time, precision, and compliance could offer even more value.

  • Time. What tasks are time-consuming and could be completed quickly with well-written instructions?
  • Precision. What tasks require precision that is difficult for humans to achieve?
  • Compliance. What tasks involve critical safety procedures or adherence to strict compliance that humans might overlook?

Augmentation: Using AI to boost your potential

Beyond automation, AI's true power lies in its ability to boost human capabilities. In this lens, you should ask, "How can the AI boost my output potential?" Think of AI as a skilled assistant that can analyze vast datasets, identify complex patterns, and present insights that aren't readily apparent to humans alone. The focus here is on tasks that still require a human touch but can benefit from computers' speed and data processing power. When exploring this further, consider asking questions about skill boosts, assistance, and focus.

  • Skill boosts. What tasks am I doing that I understand but need to be an expert at?
  • Assistance. What tasks still require a human's touch but could use processing or speed boosts?
  • Focus. What tasks are causing employees to spend more time on tools and less on goals?

Autonomy: The importance of humans in the loop

One question that comes up frequently when discussing AI is whether it will replace a particular set of jobs. My thoughts, however, are that while AI is remarkably powerful, the key to making all this work is understanding that not every task requires automation. In fact, some tasks would suffer from automation. This step requires you to ask, "Where are human emotion, creativity, intuition, and oversight essential?" Autonomy, in this sense, means digging into creativity, intuition, and uniqueness.

  • Creativity. Does this task require a level of creativity that a machine can't replicate?
  • Intuition. Does this task require emotional awareness that a machine can't discern?
  • Brand Uniqueness. Does this task represent a part of my brand that shouldn't be automated or machine-driven?

AI brings a lot to look forward to. It’s fair to say it’s on its way to transforming the world, but it's important to remember that the businesses that strategically embrace a human-centered approach to integrating AI into everyday business activities are the ones that will thrive. The three A’s: automation, augmentation, and autonomy, provide an essential foundation to begin this journey. By understanding the best applications for each aspect of AI, businesses of all sizes can discover areas for increased efficiency, more thoughtful decision-making, and a competitive edge that drives long-term success. AI's true potential lies in its ability to enhance human capabilities, not replace them.

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Kelsey Ruger is the chief technology and product officer for Hello Alice.

The concept is simple: Think before you act in marketing. Getty images

How to think before you act when it comes to marketing for your company

Strategizing for startups

If there were a joke about how entrepreneurs treat their marketing — and there totally isn't — it would go something like this.

An entrepreneur walks into a bar. Before the bartender can ask, the entrepreneur says, "I want a drink and I need it ASAP."

"What type of drink?", the bartender asks, motioning to the hundreds of bottles behind him.

"I need a drink that is refreshing, doesn't make me too drunk and makes me feel like I'm getting my money's worth."

The bartender begins listing drink after drink, and the entrepreneur, sometimes sampling the drink, turns each one down.

At long last, the entrepreneur climbs behind the bar, grabs a glass, pours in some ice and soda water, and takes a long sip.

"This is exactly what I wanted," the entrepreneur proclaims, "Why didn't you offer me this in the first place?"

The moral of the story? When it comes to marketing, entrepreneurs tend to know exactly what they want, yet they focus on quenching that immediate thirst, not knowing why they're in a bar in the first place.

The idea of your first step is nothing compared to the reality of your second. You can know something but applying those principles to starting and/or running your own business can be difficult.

When we (yes, I'm an entrepreneur too) look at marketing, we often confuse tactics with strategy. I see a problem and immediately need a tool to fix it. Hanging a picture? Where's the hammer?!

While it's tempting to lead with the tactics (i.e. website, brochure, display ad, video, etc.), they can be misguided. This can drain precious resources. Strategy can inject purpose into everyone's mindset.

Marketing efforts must be considered a sequence of events that, when lined up in the right order, produce results that are repeatable, more effective, and can lead to a predictable type of profitability.

Where careers rise and fall is the accuracy of any particular strategy. Since we're talking about accuracy, let's use an archery metaphor. Sure, you can consistently hit a target from five feet away. The farther away you get, though, the more you have to consider crosswind, the arrow's trajectory, and your own focus in order to hit that bullseye. And that's all part of a process of whittling down the variables you don't know or can't control.

It's the same with marketing. The more time you've spent preparing, studying, testing, and strategizing, the more often you will accurately target that bullseye.

Where a lot of entrepreneurs also miss the mark is not clearly understanding the core business issue. If you're lost in the forest (and it can totally feel like that sometimes), you're supposed to be quiet when hunting for food but you supposed to make a lot of noise when trying to get rescued. That's what mixing up a core business issue can do. As a process where you're whittling down the variables, marketing is a sequence, like this:

Graphic from Jarred King

Seems simple enough, right? But the process itself is dependent on the intangible pieces in between the steps. This is what happens between the "knowing" and the "doing." So, the above graph should really flow like this:

Graphic from Jarred King

Usually, the typical entrepreneur prefers to start with step four and just "get sh*t done." The problem with this approach is that it can either be the wrong solution (you're hunting with a rock instead of an arrow) or the wrong effort (you're staying quiet when you should be hollering).

The difficulty here is that the desired effect doesn't happen overnight. It rarely solves "today's problems" today. Even worse, it might require a larger investment. Without fundamentally understanding your business problem, any solution offered will be less effective, more expensive, and more wasteful of time and resources.

Instead, simply start with the business problem and then follow the above sequence to leverage "the doing" part in order to develop "the knowing" part. This doesn't have to be a drawn-out process, and there are a ton of free resources available online to help conduct your own research, analysis, and planning.

Ultimately, I'm saying "think before you act." It's not difficult to understand. The challenge for entrepreneurs is that they are faced with hundreds of important and, often, business-critical decisions each day. We can't help but to react, then decide, and move on. While our gut and grit got us to this point of success, it's strategy that will take us from surviving to thriving.

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Jarred King is the founder and president of Swagger Agency, a full-service marketing firm as well as the current president of Entrepreneurs' Organization - Houston. King also serves on the board of InnovationMap.

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CultureMap Emails are Awesome

Houston doctor wins NIH grant to test virtual reality for ICU delirium

Virtual healing

Think of it like a reverse version of The Matrix. A person wakes up in a hospital bed and gets plugged into a virtual reality game world in order to heal.

While it may sound far-fetched, Dr. Hina Faisal, a Houston Methodist critical care specialist in the Department of Surgery, was recently awarded a $242,000 grant from the National Institute of Health to test the effects of VR games on patients coming out of major surgery in the intensive care unit (ICU).

The five-year study will focus on older patients using mental stimulation techniques to reduce incidences of delirium. The award comes courtesy of the National Institute on Aging K76 Paul B. Beeson Emerging Leaders Career Development Award in Aging.

“As the population of older adults continues to grow, the need for effective, scalable interventions to prevent postoperative complications like delirium is more important than ever,” Faisal said in a news release.

ICU delirium is a serious condition that can lead to major complications and even death. Roughly 87 percent of patients who undergo major surgery involving intubation will experience some form of delirium coming out of anesthesia. Causes can range from infection to drug reactions. While many cases are mild, prolonged ICU delirium may prevent a patient from following medical advice or even cause them to hurt themselves.

Using VR games to treat delirium is a rapidly emerging and exciting branch of medicine. Studies show that VR games can help promote mental activity, memory and cognitive function. However, the full benefits are currently unknown as studies have been hampered by small patient populations.

Faisal believes that half of all ICU delirium cases are preventable through VR treatment. Currently, a general lack of knowledge and resources has been holding back the advancement of the treatment.

Hopefully, the work of Faisal in one of the busiest medical cities in the world can alleviate that problem as she spends the next half-decade plugging patients into games to aid in their healing.

Houston scientists develop breakthrough AI-driven process to design, decode genetic circuits

biotech breakthrough

Researchers at Rice University have developed an innovative process that uses artificial intelligence to better understand complex genetic circuits.

A study, published in the journal Nature, shows how the new technique, known as “Combining Long- and Short-range Sequencing to Investigate Genetic Complexity,” or CLASSIC, can generate and test millions of DNA designs at the same time, which, according to Rice.

The work was led by Rice’s Caleb Bashor, deputy director for the Rice Synthetic Biology Institute and member of the Ken Kennedy Institute. Bashor has been working with Kshitij Rai and Ronan O’Connell, co-first authors on the study, on the CLASSIC for over four years, according to a news release.

“Our work is the first demonstration that you can use AI for designing these circuits,” Bashor said in the release.

Genetic circuits program cells to perform specific functions. Finding the circuit that matches a desired function or performance "can be like looking for a needle in a haystack," Bashor explained. This work looked to find a solution to this long-standing challenge in synthetic biology.

First, the team developed a library of proof-of-concept genetic circuits. It then pooled the circuits and inserted them into human cells. Next, they used long-read and short-read DNA sequencing to create "a master map" that linked each circuit to how it performed.

The data was then used to train AI and machine learning models to analyze circuits and make accurate predictions for how untested circuits might perform.

“We end up with measurements for a lot of the possible designs but not all of them, and that is where building the (machine learning) model comes in,” O’Connell explained in the release. “We use the data to train a model that can understand this landscape and predict things we were not able to generate data on.”

Ultimately, the researchers believe the circuit characterization and AI-driven understanding can speed up synthetic biology, lead to faster development of biotechnology and potentially support more cell-based therapy breakthroughs by shedding new light on how gene circuits behave, according to Rice.

“We think AI/ML-driven design is the future of synthetic biology,” Bashor added in the release. “As we collect more data using CLASSIC, we can train more complex models to make predictions for how to design even more sophisticated and useful cellular biotechnology.”

The team at Rice also worked with Pankaj Mehta’s group in the department of physics at Boston University and Todd Treangen’s group in Rice’s computer science department. Research was supported by the National Institutes of Health, Office of Naval Research, the Robert J. Kleberg Jr. and Helen C. Kleberg Foundation, the American Heart Association, National Library of Medicine, the National Science Foundation, Rice’s Ken Kennedy Institute and the Rice Institute of Synthetic Biology.

James Collins, a biomedical engineer at MIT who helped establish synthetic biology as a field, added that CLASSIC is a new, defining milestone.

“Twenty-five years ago, those early circuits showed that we could program living cells, but they were built one at a time, each requiring months of tuning,” said Collins, who was one of the inventors of the toggle switch. “Bashor and colleagues have now delivered a transformative leap: CLASSIC brings high-throughput engineering to gene circuit design, allowing exploration of combinatorial spaces that were previously out of reach. Their platform doesn’t just accelerate the design-build-test-learn cycle; it redefines its scale, marking a new era of data-driven synthetic biology.”