Azure AI (Cortana) review
Use Cases and Deployment Scope
As part of a proof of concept, we tried using Azure AI services like Cortana, Cognitive Services, LUIS, etc. to actually enable our customers to search through vast records of data (Millions) very easily. The Azure AI ecosystem of different services covers all the areas like text, speech, and vision and has helped us in extracting all the information we need from the documents. And on top of that, we have used Cortana service as voice recognition software for our customers to fetch the data by speech as an input which improved ease of access.
Pros
- Ease of Integration for all AI services.
- Reduced time for development.
- A one stop for all AI related services.
Cons
- It struggles with customization for specific use-cases related to a particular domain.
- As a beginner it is difficult to apprehend.
- Doesn't provide an integrated free trial of services on their web.
Likelihood to Recommend
It's easy for anyone who is expecting some simple AI problems like fetching the keywords, understanding the intent, language translation, etc. to be solved from an existing database and all they need is to connect to their APIs via a subscription model. But for complex use cases, there is still room for improvement like customization of underlying AI models for a specific use case like identifying some unique identifiers with respect to industry.