Identifying use cases
Plan and prepare
Research and refine
Assess and consult
Procure and productize
Here are some use cases that may apply to your department’s business needs:
Operational need | GenAI outcome | Common GenAI use cases |
---|---|---|
Content generation (text, image, video) | Generates completely novel content, instead of remixing and modifying existing content. |
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Chatbots | Leverages conversational models trained on massive dialogue datasets. Can have coherent discussions and execute tasks via conversation naturally. |
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Data analysis | Finds insights and relationships in data through learned knowledge about the world, without hand-coded rules or labeled training data. |
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Explanations and tutoring | Generates natural language explanations and tutoring through dialogue without human-authored content. |
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Personalized content | Leverages user data, information and/or models to adaptively generate personalized content without explicit rules or large amounts of user data. |
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Search and recommendation | Uses contextual cues to improve search relevance and provide useful recommendations. |
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Software code generation | Generates code by learning underlying structure and patterns of code, without the need for human written examples. Can expand short descriptions into full programs. |
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Summarization | Does not require human-written summaries as training data. Can learn underlying patterns of language to generate summaries. |
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Synthetic data generation | Allows generation of new diverse, anonymized data from existing datasets for analysis and experimentation. |
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Source: State of California Benefits and Risks of Generative Artificial Intelligence Report, November 2023.