Leading the Pack
Brenda L. Dietrich, former INFORMS president who leads the data science function of IBM Business Analytics Insights as a Service unit, was named as one of the top nine women leading the pack in data analytics.
BALTIMORE, MD, April 1, 2025 – Can we really trust AI to make better decisions than humans? A new study says … not always. Researchers have discovered that OpenAI’s ChatGPT, one of the most advanced and popular AI models, makes the same kinds of decision-making mistakes as humans in some situations – showing biases like overconfidence of hot-hand (gambler’s) fallacy – yet acting inhuman in others (e.g., not suffering from base-rate neglect or sunk cost fallacies).
You are swimming in an ocean of data and don’t even realize it. All around you are invisible amounts of data that would be staggering to try to comprehend. Thousands of smartphones and smart devices are talking to, sending and downloading vast amounts of data, video, audio, words, numbers, images, you name it. Everything from the latest movie on Netflix to someone’s radiology results from a cancer screening.
Mom-and-pop businesses are trying to adapt to the soaring cost of eggs. The owners of four egg-centric restaurants across the country show how they are coping with this threat to their livelihoods.
An audio journey of how data and analytics save lives, save money and solve problems.
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Brenda L. Dietrich, former INFORMS president who leads the data science function of IBM Business Analytics Insights as a Service unit, was named as one of the top nine women leading the pack in data analytics.
By studying nearly nine million domestic flights, INFORMS members Mazhar Arikan, University of Kansas; Vinayak Deshpande, University of North Carolina at Chapel Hill; and Mark Ferguson, University of South Carolina, found that by not charging checked bag fees Southwest Airlines could be impacting their flights' ability to depart on time. Their findings were published in the INFORMS journal Management Science.
The LA Times explores garbage orbiting earth and how to clean it up, including a 2009 paper by INFORMS member Lawrence Wein and coauthor Andrew Bradley, both researchers at Stanford University.
Two INFORMS members from the University of Iowa’s Tippie College of Business, doctoral student Bhupesh Shetty and Associate Professor Jeffrey Ohlmann, in conjunction with Professor Gary Gaeth, developed an optimization model to improve Monday Night Football schedules. By analyzing every Monday night game played between 1993 and 2008, the researchers discovered three factors that have the greatest impact on generating high ratings: games played by Super Bowl champions, teams with high profile players or coaches joining the team, and teams with high-powered offenses.
Using data from a Washington Post comprehensive report, two INFORMS members investigated the impact of technology on police performance and practice. Professors Min-Seok Pang and Paul Pavlou, both from Temple University’s Fox School of Business, found that the use of analytics and smartphones to access intelligence led to decreased instances of lethal force by police, whereas wearable video cameras were linked to an increase in lethal force on civilians by police.
OR/MS Today is the INFORMS member magazine that shares the latest research and best practices in operations research, analytics and the management sciences.
Access OR/MS Today MagazineAnalytics magazine showcases articles and research reports based on big data, AI, machine learning, data analytics and other new-age technologies.
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