Until now, time-series forecasting has required large teams of machine learning engineers developing custom models – which meant only the largest companies could leverage it.

The 2023 paper “Time Series-Based Quantitative Risk Models: Enhancing Accuracy in Forecasting and Risk Assessment” by Olanrewaju Olukoya Odumuwagun, published in the International Journal of ...

IBM is bringing the power of conditional reasoning to its open source Granite 3.2 LLM, in an effort to solve real enterprise AI challenges.