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.
The artificial intelligence (AI) boom has ignited the demand for data centers. Goldman Sachs predicts a doubling of the power demand to run the data centers in just two years.
Generative AI tools such as ChatGPT, Gemini, and Preplexity require a significant amount of computing power to train large language models so they are able to answer user queries coming from the average person who is doing a search about basketball game statistics to investment bankers who are looking for nuggets of information that will help them invest in high return stocks.
An audio journey of how data and analytics save lives, save money and solve problems.
Jeff Cohen
Chief Strategy Officer
INFORMS
Catonsville, MD
[email protected]
443-757-3565
Explore our resources for multiple topics including:
With a COVID-19 vaccine and the United States seemingly opening up from the pandemic, things were starting to get back to normal just in time for summer. People started seeing friends and family, traveling out of state and embracing relaxed coronavirus restrictions.
Just as COVID-19 has impacted nearly every aspect of life, so too has it affected the direction of research in countless ways. From faculty who stepped up to contribute to the emergency response to those who found themselves in the midst of an unprecedented natural experiment, UMass Amherst researchers have studied the pandemic’s influence from a variety of angles. Several faculty members shared lessons learned and implications for the future.
Disruptions in the healthcare system during the COVID-19 pandemic caused delays in breast cancer treatment that could lead to increased deaths, a new study suggests.
Local, state, and federal governments rapidly built a public health data infrastructure throughout the COVID-19 pandemic. The data from all jurisdictions is critical to continuing effective pandemic responses.
CATONSVILLE, MD, July 20, 2021 – Uber and Lyft are popular on-demand ways to travel, but does that mean trains and buses are a thing of the past? Travelers prefer different modes of transportation at different times. So how can all these modes co-exist and do so successfully? New research in the INFORMS Journal Transportation Science has created a model and an algorithm to redistribute transit resources based on commuter preferences resulting in millions in savings.
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 Magazine
Analytics magazine showcases articles and research reports based on big data, AI, machine learning, data analytics and other new-age technologies.
Access Analytics Magazine