Forbes February 28, 2025
In today’s race to harness the power of generative AI and large language models, it might be a good change of scenery to shift focus briefly toward a highly valuable area of AI: predictive time series forecasting. It is an often-overlooked area of AI that has been helpful for business process optimization and operational efficiency at scale.
There are plenty of prediction engines and algorithms that can function with modest computational resources and readily available data, but since the advent of modern AI, the focus has shifted from the mere acceptability of predictions to achieving high accuracy at scale. A fundamental challenge in predictive forecasting lies in the inherent trade-off between granularity and accuracy, ultimately striving for the elusive goal...
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