BALTIMORE, MD, January 17, 2025 – INFORMS, the world’s largest association for professionals and students in operations research (O.R.), AI, analytics and data science, has unveiled six finalists for the prestigious 2025 Franz Edelman Award for achievement in advanced analytics, operations research and management science. Recognized as the pinnacle of achievement in the application of analytics and operations research, the award, often referred to as “The Nobel Prize” of O.R. and advanced analytics, celebrates groundbreaking research and innovations that are transforming industries, improving lives and shaping a smarter, more sustainable future.
Cutting-edge chips, especially those designed to power emerging AI applications, tend to receive the most attention in the media and generate the most excitement. However, so-called “legacy” chips are just as important — if not more — to our daily lives.
January is National Blood Donor Month and, not coincidentally, a time when donations tend to ebb. Every two seconds, someone in the U.S. needs blood for serious injuries, childbirth, cancer treatments and more, according to the Department of Health and Human Services.
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The newspaper publisher is the first major news outlet to sue the AI creator. While the suit might not reach court, it still has a significant impact on the AI community.
When and where do we sound the privacy alarm with AI? Where do we draw the line? Is it even possible to stop what’s already in motion or do we just have to manage the consequences? And on the line to discuss these issues is Temple professor Subodha Kumar. Subodha is the Founding Director of the Center for Business Analytics and Disruptive Technologies at Temple University’s Fox School of Business.
Many people are already leaders or want-to-be leaders in their organisation. The combination of aspiration and the belief that “leaders are made, not born” creates an entire industry to serve this huge market.
BALTIMORE, MD, January 3, 2024 – New research has found a way to leverage the power of artificial intelligence (AI) to more efficiently screen out bad ideas to focus on only good ideas in the crowdsourcing process within ideation. More specifically, the research has arrived at a simple model for screening out ideas that experts might consider “bad.” Importantly, managers can adjust their model to determine how many bad ideas to screen out, without losing good ones. The research also found a single new predictor that screens out atypical ideas and preserves more inclusive and rich ideas.
One of the best ways to get a picture of a nation is through its numbers and, perhaps more importantly, its averages.
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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