What are the different areas in which IT is using Azure OpenAI GPT, other than summarization?

Translation is a direct area with significant savings as well as content generation of social media.

Knowledge mining, skills augmentation, internal customer service, content generation, code generation, language translation, semantic search....

We are looking into using it for Enterprise Chat.

Hello, it is very versatile and take in mind you can select also other model languages as the SLM via OpenAI.

Some of the cases are:
- Content Generation
- Code Writing and Translation
- Image Understanding and Generation
- Anomaly Detection
- Virtual Assistants
- Natural Language to Code (NL to Code)
- Classification
- Semantic Search
- Language Translation

You can work with CoPilot Studio as well about the Virtual Assistants and the related integrations.

Azure OpenAI's GPT, including its variants, is being leveraged across a wide range of applications in IT beyond just summarisation.
Content Generation: Automating the creation of articles, reports, marketing content, and even code snippets, significantly reducing the time and effort required for content development.

Automated Email Responses: Generating automatic responses to emails, which can significantly improve efficiency in customer service and internal communication.

Sentiment Analysis: Analysing customer feedback, social media posts, and reviews to gauge public sentiment, helping businesses understand their audience's perception and improve their products or services.