Generative AI use cases for the enterprise
IBM Services
FEBRUARY 13, 2024
The quality of outputs depends heavily on training data, adjusting the model’s parameters and prompt engineering, so responsible data sourcing and bias mitigation are crucial. Fraud detection and risk management : Generative AI can quickly scan and summarize large amounts of data to identify patterns or anomalies.
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