AI Application Areas
Fields of application for artificial intelligence
For generative AI, there is unfortunately not yet a nice diagram similar to the AI Landscape of the Association for the Advancement of Artificial Intelligence (AAAI) that shows in which areas of our lives and work AI plays or can play a role. On the Hugging Face platform, the Classification of Models provides a categorization of fields of application for artificial intelligence, albeit a very technical one. McKinsey describes possible fields of application in the article What's the future of generative AI? in more detail:
| Modality/Field of application | Example |
|---|---|
| TEXT | |
| Create content | Communication: Create personalized emails and posts Personnel: Create interview questions and job descriptions |
| Chatbots and assistants | Kommunikation: Chatbots für Webseiten im Internet und Intranet |
| Search | Natural language search instead of keyword search |
| Analysis and synthesis | Sales: Analyze customer interaction Legal: Summarize laws and regulatory documents |
| CODE | |
| Create code | IT: Application development IT: Enabling low-code and no-code |
| Create prototypes of applications and designs | IT: Design prototypes and user interfaces quickly |
| Datensätze generieren | IT: Improving AI model quality through data sets |
| IMAGE | |
| Create images | Communication: generate unique images (instead of stock photos) |
| Edit images | Communication: Remove or change image backgrounds |
| AUDIO | |
| Generate text-to-speech | Training: Creating voiceover voices |
| Generate sounds | Media: Generate background noise or music |
| Edit audio | Communication: Editing podcasts without a new recording |
| VIDEO | |
| Create video | Training: create short educational videos with AI avatars |
| Edit video | Marketing: Personalize standard videos Communication: Remove backgrounds from videos |
| Translate and adapt language | Communication: Dubbing, replace original language with voiceover Meetings: Live translation in meetings |
| Swapping faces and making adjustments | Communication: Translation with changes in lip movement for other languages |
| 3D & VR | |
| Generate 3D objects | Video games: Create characters and objects |
| Designing products and making them tangible | Product development: speed up the development process |
As described in the HBR article Where Should Your Company Start with GenAI?, organizations and all individual knowledge workers should find out whether and how their activities are affected by generative AI. The article suggests the WINS meme, which you can use to check how much effort your own activities involve in dealing with texts (Words), images (Images), numbers (Numbers) and audio (Sounds). The degree to which you are affected depends on the effort and degree of digitization in the respective activity.
If you do not have a personal knowledge map with an overview of your tasks, you can use the categories of knowledge-intensive activities of the Federal Institute for Vocational Education and Training as a starting point:
- research
- develop
- research
- documenting
- training
- teaching
- organizing external work processes