With the introduction of AI services we can now make better use of core systems, such as Microsoft Dynamics NAV / 365 Business Central, which can reduce administrative workload and offer smarter solutions that increase productivity. Implementing such services might look challenging, however we are now seeing really interesting applications that have a considerable benefit to ones organisation.
Why Microsoft for AI?
Microsoft has spent more than 25 years researching and leveraging AI with a focus on product development to advance AI algorithms and deliver innovations that can be offered to customers. Many of these advancements are leveraged in Microsoft’s ecosystem across Xbox, Bing, and Office in the form of cognitive services — natural language, speech, facial recognition. Most importantly, the AI platform keeps the needs of developers front and center by:
- Providing a breadth of intelligence and knowledge of APIs so developers will be able to find the intelligence feature they need
- Working where the developer chooses – language, framework, and platform agnostic
- Being built on an evolving open source ecosystem of tools – platform does not force developers to abandon favorite tools
The cognitive services are primarily segmented in the below capabilities;
Applying the Microsoft AI platform to a customer use case
Retail and consumer goods use case: Inventory optimization through SKU assortment + machine learning
To make the Microsoft AI platform real, read the Inventory Optimization -SKU Assortment use case for retail and consumer goods. It provides a use case for advanced analytics discussing the concepts mentioned in this blog.
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(references azure.microsoft.com)