Lawrence Schwartz — CEO of Trivie, a tech-enabled workforce training solution — shares how employees forgetting training is one of the biggest challenges for businesses. Photo via Getty Images

Forgetting is the hobgoblin of businesses everywhere. Globally, more than $300 billion is spent annually by companies hoping to train their employees to do their jobs successfully and safely. Yet, learning professionals know that people will forget 80 percent or more of what they learned after 30 to 90 days unless it's reinforced.

It's a human biology problem — people forget. However, if that were the only issue, it would have been solved long ago. Instead, it's a holistic issue that includes how people learn and forget, how people engage with training, and how knowledge gaps are identified and addressed across entire organizations.

How do we get people to remember what we need them to know to do their job more effectively? And how do we do it without it taking up so much of their time that training becomes impossibly expensive?

Therein lies the problem. Neuroscientists have done extensive research on how the brain remembers things long-term, and it's not what most people think.

We've grown up in a culture of cramming. Review the content over and over right before a test, take the test, pass it, and you're done. Check the box. Unfortunately, your brain is done with that material too, and over time, it will purge itself of that information unless you do something about it.

The act of forgetting allows our brains to strengthen their neurological pathways to help us remember. This is called "retrieval practice" and according to Dr. Henry Roediger, one of the authors of the book, Make It Stick: "Retrieval practice via quizzes spaced out over time helps to consolidate knowledge and keep it on employees' 'mental fingertips,' so it is easy to access when needed." In essence, you re-introduce something learned so that the brain "recalls" it, and if done enough over a certain period, it is more likely that people will remember this information longer.

With today's technology, we can automate spaced repetition. Artificial intelligence can predict when people will forget and proactively nudge employees to avoid creating knowledge gaps across organizations. Delivering information in a personalized way, such that every learner has their own proficiency map, enables knowledge retention with very little time expenditure.

It's human nature that when someone knows more, they are more confident in their abilities. This translates to better performance across nearly all use cases within a business. Top salespeople know their product like the back of their hands to identify solutions for customers quickly. The best customer service teams don't just reference knowledge bases; they are familiar with the product, processes, or services that allow them to be responsive and think holistically about issues. The safest work environments are a product of employees knowing what they need to do to keep themselves, and each other, safe. Knowledge retention powers high-performing people and organizations.

Forgetting can never be eliminated. Rather, businesses that leverage forgetting as opportunities to strengthen their people's knowledge will create a culture of continuous learning. Employees will feel more empowered and confident. Knowledge silos will be broken down, and the analog ways that knowledge was retained across peer interactions will become digital. An open network of knowledge will emerge and supplement our brains, making what was once a weakness in human biology, forgetting, an opportunity to remember.

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Lawrence Schwartz is the co-founder and CEO of Texas-based Trivie.

Trivie has closed a $5 million investment round led by Houston-based Cottonwood Venture Partners. Photo via Trivie.com

Houston investment firm leads Texas startup's $5M series A round

money moves

A Texas-based tech startup that has created an artificial intelligence-enabled tool that gamifies corporate training and education has closed its most recent funding round thanks to a Houston investor.

Trivie as announced its $5 million series A investment round led by Houston-based Cottonwood Venture Partners, an investment firm that has a portfolio of technology companies that are providing digital solutions within the energy industry. Trivie will use the new funds to scale its product and expand across industries, from energy and manufacturing to hospitality, healthcare, consumer goods, and more.

"The Trivie team's success to date has been remarkable and we are humbled to partner with them to expand Trivie's reach as organizations increasingly look to maximize knowledge retention, particularly as it relates to health and safety," says Jeremy Arendt, managing partner of CVP, in a news release.

Now, as more employees are working from home than ever before, relevant training is crucial and at the top of mind for business leaders. Trivie's clients include Subway, Phillips66, Anheuser-Busch, to name a few.

"At Trivie, our mission is to ensure that every employee at every organization can be at their very best because what they have been taught, they remember, and what they have said is understood," says Lawrence Schwartz, CEO, and co-founder at Trivie, in a news release. "We are extremely excited to partner with Cottonwood Venture Partners to help us expand our footprint in the Fortune 1000 and to continue to execute on that mission."

One of Trivie's founders, Leland Putterman, who is based in Houston, first had the idea for a consumer-facing trivia game 18 years ago. When the app rolled out in 2013, it garnered more than three million downloads. As COVID-19 has brought new compliance guidelines to the forefront of every industry, Trivie was quick to make the CDC's coronavirus guidelines available to all of its clients for no additional charge to be used across their entire employment bases.

Additionally, Trivie prioritizing its user's ability to connect in a time of social distancing and working from home.

"The only way to maintain that company culture and close communication with confidence is to use something like Trivie," Putterman previously tells InnovationMap. "There's no feedback loop right now. The only way to bridge that gap is to have something like Trivie that's the glue."

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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.”