Exploring Chronos: How foundational AI models are setting recent standards in predictive analyticsThis post was co-authored with Rafael Guedes.Time series forecasting has been evolving towards foundation models attributable to their success in other artificial...
Time series forecasting plays a significant role in crucial decision-making processes across various industries resembling retail, finance, manufacturing, and healthcare. Nevertheless, in comparison with domains like natural language processing and image recognition, the combination...
A latest age for time seriesGoogle just entered the race of foundation models for time-series forecasting.In August 2023, the time-series community was disrupted by the discharge of TimeGPT, Nixtla’s first foundation model for time...
Big Tech’s arrival on the weather forecasting scene just isn't purely based on scientific curiosity, reckons Oliver Fuhrer, the top of the numerical prediction department at MeteoSwiss, the Swiss Federal Office of Meteorology...
“Prediction could be very difficult, especially if it’s in regards to the future” — Yogi Berra , NY YankeesIn this text, we'll explore the rationale and execution of constructing a predictive time series model...
How forecasting can aid in resource planningYou is perhaps wondering:Why is it obligatory for us to predict the client boxes?The rationale is that almost all customers are inclined to select their recipes on the...
How long does it take to achieve a particular value?. The interpretation stays straightforward, i.e. for every forecasted time point we will derive the probability of our goal series reaching a predefined level.On this...
How long does it take to achieve a selected value?Regardless of the event we try to forecast, we are able to generate a curve of probabilities simply ranging from the purpose forecasts. The interpretation...