The INFORMS Analytics+ Conference showcased how companies are turning advanced analytics and AI into measurable operational results
Museums take this educational role seriously, and many institutions understand the need to sustain and broaden their appeal. “They used to be these big ivory towers of knowledge and history and thought and art,” said Hilary Knight, director of Change& in London and former director of digital at Tate. “Museums themselves are changing their role to be centers for discussion and encounter and to be much more participatory.”
American teenagers start their school day too early.
Medical experts have been clear for years: sleep cycle changes during puberty make it hard for teenagers to learn in the early morning. Later school start times have been linked to better sleep, improved mental health, stronger academic performance and even safer driving.
Most school district leaders know about this problem and care about fixing it. But changing the schedule can feel operationally impossible.
An audio journey of how data and analytics save lives, save money and solve problems.
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For years, social media platforms have wrestled with how to curb misinformation without inflaming debates over censorship. New research from INFORMS members suggests the answer may be hiding in plain sight: let the crowd speak and let transparency do the rest.
AI technologies (or computer programs in general) automating price setting is, on the face of it, a straightforward application of the laws of demand and supply to the context of digital platforms. However, the potential for algorithmic collusion and antitrust implications are far from straightforward.
A federal consumer protection law fundamentally changed how Americans review businesses online. After the Consumer Review Fairness Act took effect, online reviews became more negative, more detailed and more informative, suggesting that previously suppressed criticism finally surfaced.
New research published in the INFORMS journal Operations Research shows that healthcare systems can substantially reduce overtime, idle time and overall staffing costs by adopting a multilocation, dynamic staff-planning model for anesthesiologists. The study is based on the University of Pittsburgh Medical Center (UPMC), which cut daily overtime and idle time across 11 hospitals, generating over $800,000 in annual cost savings.
Conventional wisdom is that waiting in a queue online or in a physical line involves a certain cost for people and organizations. Rational analysis has largely based its queue management predictions on remaining wait time, or how long someone has left to wait. Much of the planning around the design of queues is based on this factor. New research examines other parameters that can play important roles in determining the “cost of queuing.”
OR/MS Today is the INFORMS member magazine that shares the latest research and best practices in operations research, analytics and the management sciences.
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Analytics magazine showcases articles and research reports based on big data, AI, machine learning, data analytics and other new-age technologies.
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