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Media Coverage

Sports betting has grown far beyond who will win a game or whether the spread is covered. Every game offers numerous opportunities to place bets. Such microbets unravel the many plays that constitute a game into a sequence of uncertain actions, each of which can be gambled upon at lightning speed in real-time. 

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News Release

A new AI model predicts which short-form videos triggering suicidal thoughts in vulnerable viewers pose higher risk before they reach large audiences, which can improve user safety.

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News Release

In a new study, advanced analytics demonstrates that healthier school schedules are not only achievable but can also improve district operations and reduce costs.

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Can Improving Forecast Accuracy Address Our Demand Planning Woes?

Can Improving Forecast Accuracy Address Our Demand Planning Woes?

Logistics Viewpoints, August 4, 2022

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.

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