Time Series - Predicting Temperature

Leverage your historical data by building a time series machine learning model that predicts temperature.

Background

Predicting temperature is critical for any organizations in agriculture, logistics, and therefore to traders within commodity markets as all these industries estimate demand over coming days.

It is however difficult because of 3 main reasons:
(1) the amount of available data;
(2) the time available to analyze it;
(3) the complexity of weather events. Obviously AI can help predict average daily temperature in the future down to a specific date, with the least data possible.

The Solution

We’ve designed Obviously AI to work with less data while giving the most accurate predictions in minutes, without writing code. This means anyone can leverage Time Series to easily and quickly make predictions and decisions.

This video uses historical month-on-month temperature data to predict future monthly temperatures, so businesses can make more informed and speedier decisions. All in minutes!

The Results

Obviously AI was able to accurately predict the daily average of future temperatures, enabling the business team to spend their time on operational efficiency, as opposed to building Time Series models.

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