We are drowning in numbers, and we no longer understand what they mean. Every day, headlines bombard us with figures meant to inform: billions in spending, trillions in debt, percentages signaling growth or decline. But for most of us, these numbers blur together. They register as “large” or “small,” but almost never as real. And that is more than a math problem. It is a civic one.
INFORMS has awarded Microsoft (NASDAQ: MSFT) its 2026 Franz Edelman Award for Achievement in Advanced Analytics, Operations Research and Management Science, for reengineering how global cloud infrastructure is planned and delivered, applying advanced analytics and AI to orchestrate complex fulfillment decisions across its rapidly expanding data center network.
In the rush to adopt artificial intelligence, many employers are now requiring that employees use AI tools. As you’re using AI, be intentional and selective. It’s critical that you know yourself. Research published in Management Science found that AI is most valuable for people who understand their own abilities and limitations. Assess yourself, so you can factor this into your process for incorporating AI into your work.
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Over the past two-plus years, global supply chains have been stretched beyond recognition. Yet stretched is not broken, and covid-19 may serve as the launch pad to create a new and improved global supply chain model.
The Biden administration’s response has made key mistakes in handling the emerging threat. We hope this situation serves as a wake-up call to rethink and re-tool emergency response policies and practices.
In the middle of the ongoing coronavirus pandemic, we're facing a second global, viral crisis: monkeypox.
If “the forecast is always wrong,” is improving forecast accuracy even the solution to our demand planning woes? In times that continue to defy our ability to predict them, the words of famous statistician George Box have never been more right: “All models are wrong, but some are useful.” So what can we do to make models more useful? Artificial intelligence and machine learning (AI/ML) can improve forecast accuracy, but a bigger problem is the failure to set accurate expectations around forecasting models, not the accuracy of the models themselves. For supply chains to get more use from their models, we need to “trust the box;” recognize that models are not the holy grail; and remember that a forecast is an input into making better decisions, not an end in and of itself.
It seems like we’re waiting now more than ever. The COVID-19 pandemic, which we were initially told would take just a few weeks to get under control, is now in its third year. Getting back to life as we knew it was more challenging than expected. Supply chain issues have extended lead times and severely disrupted operations across vital industries, including retail, travel, and healthcare.
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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