Chapter 6Machine Learning with Dynamics 365 Use Cases

IN TODAY'S WORLD, WHEN every organization is searching for ways to enhance their productivity and work more efficiently, Microsoft has combined Dynamics 365 and machine learning to create solutions that can perform predictions and automate the processes to reduce the response time for your customers. The fusion of these two technologies can help you to build machine learning models by taking historical data and feeding it into analytical algorithms. Based on the predictions made by these models, organizations can identify their prime customers, and by leveraging their historical data and attributes, they can make informed decisions.

“You can have data without information, but you can't have information without data.”

— Daniel Keys Moran

ML FOR FINANCE

Machine learning in finance extracts meaningful insights from unstructured data and provides precise results. The machine learning algorithms are implemented to learn from existing patterns in data, processes, and techniques useful to find different insights. The acquired information from the results is then used to solve complex problems crucial to the banking and finance divisions.

Today many financial organizations are taking advantage of machine learning for various reasons such as:

  • Process automation using machine learning reduces costs.
  • Machine learning provides better productivity and enhanced user experience, which results in increased revenue.
  • Better acquiescence ...

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