Data decay: One reason insurers should value synthetic data
As data decays, it becomes less useful. See how synthetic data for insurance can help.
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AI and demand forecasting: A match made
To stay ahead, organizations must thrive rather than compete. Demand forecasting is one of the most critical tools in this pursuit. Organizations that excel at demand forecasting have a clear edge, whether anticipating customer needs or managing supply chain disruptions. By predicting what customers want and when they’ll want it, companies can
A historical method of generating random normal variates
Decades ago, it was a challenge to generate (pseudo-) random numbers that had good statistical properties. The proliferation of desktop computers in the 1980s and '90s led to many advances in computational mathematics, including better ways to generate pseudorandom variates from a wide range of probability distributions. (For brevity, I