What are some applications of real-world data in AI?
Real-world data is used in various AI applications, including healthcare for patient outcomes, finance for fraud detection, and marketing for customer insights.
Can you give an example of how it's used in healthcare?
Sure! In healthcare, real-world data helps in predicting patient outcomes by analyzing treatment effectiveness and patient demographics.
What about its use in finance?
In finance, real-world data is crucial for detecting fraudulent transactions by analyzing patterns and anomalies in spending behavior.
Are there any ethical concerns with using real-world data?
Yes, ethical concerns include privacy issues, data security, and the potential for bias in AI models trained on real-world data.
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