The INFORMS Analytics+ Conference showcased how companies are turning advanced analytics and AI into measurable operational results
In most emergency departments, beds are a hot commodity. But some patients don’t actually need a bed for their treatment – and accurately identifying those people is a low-lift but effective way to increase efficiency without sacrificing care quality, finds a study recently published in the journal Management Science.
The researchers developed a simple decision tree, informed by mathematical and machine learning models, to help staff decide whether a patient truly needs a bed or can be routed to a “vertical processing pathway” – that is, an area where they can be treated sitting up. Many hospitals already have such an area but don’t necessarily have a systematic way to decide which patients are treated there.
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.
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As companies race to integrate artificial intelligence into the workplace, new research suggests workers benefit most when AI is paired with experience rather than treated as a replacement for it.
In most emergency departments, beds are a hot commodity. But some patients don’t actually need a bed for their treatment – and accurately identifying those people is a low-lift but effective way to increase efficiency without sacrificing care quality, finds a study recently published in the journal Management Science.
The researchers developed a simple decision tree, informed by mathematical and machine learning models, to help staff decide whether a patient truly needs a bed or can be routed to a “vertical processing pathway” – that is, an area where they can be treated sitting up. Many hospitals already have such an area but don’t necessarily have a systematic way to decide which patients are treated there.
The common belief throughout the marketing and advertising world is that generative AI can produce striking visuals, but it struggles to match the performance and brand discipline of skilled human designers. New research published in the INFORMS journal Marketing Science challenges that assumption, finding that a carefully designed AI system can outperform visuals created by humans, and it can outperform designs created by another AI model that was optimized solely on the basis of aesthetics.
The study, “Leveraging Generative AI to Create Visual Content in Digital Advertising,” was authored by Remi Daviet of INSEAD and Yohei Nishimura of the Wisconsin School of Business at the University of Wisconsin–Madison. They used active-learning engine as part of a live campaign to solve the problems of finding high-performing AI images while making sure to keep them on-brand and effective.
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.
President Trump recently signed Executive Order 14415, “Securing America’s Defense Supply Chains and Ensuring Domestic Acquisition of Critical Materials”, which states that “the United States must secure its supply chains against physical, cyber, and economic subversion”, and that finished equipment and “the critical materials and components necessary to manufacture, maintain, sustain, and repair that equipment, are sourced domestically or from allied nations.” Among other provisions, the Executive Order states that the Department of War will, with the help of the defense industrial base, engage in supply chain mapping and illumination that will “map national security vulnerabilities as they relate to the sourcing of key raw materials or other links in the supply chain, using any tools and technologies to include artificial intelligence to assist in doing so.”
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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