In the previous post we looked at enabling the built-in integration of Dynamics NAV and Time Series, which uses a Machine Learning (ML) model to predict inventory or cash requirements.
SinceDynamics NAV 2017 Cumulative Update 13 – and also in Dynamics NAV 2018 – the Office Integration experience has been enriched by a new interop assembly to handle non-modal calls to Microsoft Word and retrieve document close events.
This post is a summary of what was new already in Dynamics NAV 2017: Using “Microsoft Azure Machine Learning Studio” to create (load) and then publish a model which we will call from Dynamics NAV to make inventory or cash forecasts.
With digitization of almost all industries on the way, advanced technologies like machine learning are revolutionizing the way of work for most industries today.
Cumulative Update 28 includes all application and platform hotfixes and regulatory features that have been released for Microsoft Dynamics NAV 2016.
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