The finalists for the 2026 Franz Edelman Award innovate in supply-chain replenishment, food distribution, cloud fulfillment and carbon-aware high-performance computing.
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.
Zachary Collier, Assistant Professor of Management at Radford University, joins Shaye Ganam to talk about EVs in Canada and the inherent cybersecurity risk in operating them.
An audio journey of how data and analytics save lives, save money and solve problems.
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Life for Central New Yorkers in the age of COVID-19 has forced many members of the community, local businesses and nonprofits to readjust their priorities and lifestyles.
If you have fresh memories of working in an office, enjoying dinner at a restaurant, or sitting back with a tub of popcorn in a crowded movie theater, those memories could fade by the time you can do them again.
David Simchi-Levi of MIT presents: From Pandemic Disruption to Global Supply Chain Recovery: The rapid spread of the COVID-19 virus is already having a huge impact on the global economy, which is rippling around the world via the long supply chains of major industries. In this webinar we will focus on the need to quickly respond to the challenge. Specifically, we will introduce concepts and methods that supply chain executives can use to (i) identify critical suppliers; (ii) assess the impact of these suppliers on their business; (iii) develop a recovery plan that secures capacity and addresses business challenges.
The coronavirus cannot keep us stuck in our homes forever. Someday our kids will go back to school, we will return to work, and families and friends will gather once again for birthdays, holidays, weddings and funerals.
In the US, President Trump has said that testing for novel coronavirus infection will be limited to people who believe they may be infected. But if we only test people who believe they may be infected, we cannot understand how deep the virus has reached into the population. The only way this could is if those who believe they may be infected are representative of the population with respect to novel coronavirus infection. Does anyone believe this is 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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