With TIM’s RTInstantML, producing forecasts instantly from data is affordable. TIM accomplishes this by looking at the latest available data and creating a model that best suits the current situation.
There is no need to predefine how the data would look once deployed in the production pipeline – this is defined by the way the data is organized and TIM will recognize this automatically.
The user only needs to provide TIM with the number of steps ahead for which the forecast should be calculated. TIM will then generate a model and produce a forecast in one single API call. This is inherently different to AutoML, where a model is built once and is then reused many times for calculating forecasts.