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

4.8k viewscircle icon2 Upvotescircle icon5 Comments
Sort by:
Director of ITa year ago

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

Director of ITa year ago

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

Program Director, Intelligent Automation + Entrepreneur in Healthcare and Biotecha year ago

We are looking into using it for Enterprise Chat.

IT Manager in Construction2 years ago

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.

Lightbulb on1
Data & AI Practice Lead2 years ago

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.

Content you might like

Recruit talent from diverse or non-traditional backgrounds (e.g. different degrees, institutions, or work experience)33%

Recruit less experienced AI talent with a high aptitude to learn 43%

Communicate the intrinsic benefits of the role (e.g., mission, culture, resources, opportunity for impact) 31%

Build talent pipelines through partnerships with academia and professional societies44%

Hire and upskill internal talent49%

Use specialized AI recruitment agencies10%

Other (please share details in comments)1%

View Results

Established AI governance framework with defined policies and oversight39%

Currently developing governance models and risk controls69%

Relying on existing security/compliance frameworks (no AI-specific policy)30%

No formal AI governance approach in place3%

View Results