What is event schema evolution in AI?
Event schema evolution refers to the process of adapting and updating the structure of event data in AI systems to accommodate new types of events or changes in existing events.
Why is it important for AI systems?
It's crucial because it ensures that AI systems can accurately interpret and respond to new information, improving their performance and relevance.
Can you give an example of event schema evolution?
Sure! For instance, if an AI system initially tracks user interactions as simple clicks, it might evolve to include more complex events like 'hover' or 'scroll' to gain deeper insights.
How does this impact machine learning models?
It impacts machine learning models by providing them with richer, more relevant data, which can enhance their training and predictive capabilities.
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