Forecasting

Chronos: The Rise of Foundation Models for Time Series Forecasting

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...

The Rise of Time-Series Foundation Models for Data Evaluation and Forecasting

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...

TimesFM: Google’s Foundation Model For Time-Series Forecasting

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...

Weather forecasting is having an AI moment

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...

Unleashing the Power of Predictive Modeling: Overcoming Challenges in Forecasting Annual Revenue Intro Challenges Approaches Model Strategy Mid — Summary

“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...

Forecasting: Unlocking Value In The Supply Chain Background Why Gousto is Unique Order Demand Recipe Popularity Order Simulator Summary & Further Thoughts References Connect With Me & Us!

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...

Hitting Time Forecasting: The Other Way for Time Series Probabilistic Forecasting Introducing Hitting Time Forecasting From Point-wise to Probabilistic Forecasting From Probabilistic to Hitting Time Forecasting Summary

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...

Hitting Time Forecasting: The Other Way for Time Series Probabilistic Forecasting

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...

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