CHAPTER 4Dynamics 365 and Custom ML Models Using Azure ML

“It's the choices you make that determine your future.”

– Donny Ingram

WITH INNOVATIONS IN MACHINE intelligence making ML capable of delivering– and sometimes exceeding – human‐level performance in perceptual and cognitive tasks, organizations are increasingly evaluating how artificial intelligence can be applied to derive new business value and change the world for the better. It is fair to assume that soon the companies that are using the technologies to automate all the regular and routine work will progress faster than those that aren't.

Technologies like artificial intelligence are transforming the way businesses are operating these days. It is the most trending technology of today and along with Azure cloud‐based services, it's doing miracles for organizations small and large, at scale.

AZURE MACHINE LEARNING

Azure Machine Learning is a cloud‐based environment that:

  • Enables you to use cloud‐based storage services such as Azure Blob, Azure Data Lake (including Gen2), Azure SQL Database, Azure Synapse Analytics (Modern Data warehouse), PostgreSQL, Databricks, and MySQL. Datasets can also be created from local files, public URLs, or Azure Open Datasets.
  • Provides a managed cloud‐based workstation optimized for your machine learning development environment called Azure Compute Instances. For more demanding or production grade model training, you can use an Azure Machine Learning compute cluster for additional ...

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