This is an intuitive framework for Gen AI use cases. Generative AI (Gen AI) has a wide range of capabilities that can be applied to various artefacts, making it a versatile tool for numerous applications. Here are some of the key capabilities of Gen AI:
- Q&A (Question & Answering): Providing answers to specific questions based on available data.
- Summarization: Condensing large volumes of text into concise summaries.
- Translation: Converting text from one language to another.
- Explanation: Offering detailed explanations of complex topics.
- Elaboration: Expanding on given ideas or topics with additional information.
- Generation: Creating new content, such as text, images, or code.
- Classification: Categorizing data into predefined groups.
- Sentiment Analysis: Determining the emotional tone of a piece of text.
- Data Extraction: Pulling specific information from larger datasets.
- Coding Assistance: Helping with writing and debugging code.
- Recommendation: Suggesting relevant items or actions based on data analysis.
Gen AI can handle a variety of artefacts, including text documents, spreadsheets, videos, images, audio, web pages, emails, social media posts, code, and books and ebooks. This versatility allows it to be applied in numerous contexts and industries.
Examples of Action and Artefact Combinations
Here are a few examples of how different actions can be combined with various artefacts to create practical use cases:
- Summarization of Text Documents: Automatically summarizing lengthy reports or articles to provide quick insights.
- Translation of Web Pages: Translating website content to make it accessible to a global audience.
- Sentiment Analysis of Social Media Posts: Analyzing customer feedback on social media to gauge public sentiment.
- Data Extraction from Spreadsheets: Extracting key financial metrics from complex spreadsheets for quick review.
- Generation of Code: Creating boilerplate code for software development projects.
Adding the Process Dimension
To further define use cases, we can add an additional dimension: the process. This helps to contextualize the action and artefact within a specific workflow or business process. For example:
- Process: Customer Support
- Action: Q&A (Question & Answering)
- Artefact: Emails
In this example, Gen AI can be used to automatically respond to customer inquiries via email, improving response times and customer satisfaction.
Conclusion
Not all combinations of actions and artefacts are relevant, but this framework provides a way to explore the potential applications of Gen AI. By considering the process dimension, we can better understand how Gen AI can be integrated into specific workflows to enhance efficiency and effectiveness. This approach allows us to identify and develop innovative solutions tailored to various needs and contexts.