When it comes to AI in financial services, we can divide things into two generations: The present (classical AI) The future (generative and agentic AI) Today, classical AI is widely used across the industry. In fact, banks have been using it for decades now. In the early days, they called it by different names, including “machine learning” and “business analytics.” Over the years, they’ve gotten very good at using predictive models for use cases like fraud detection and risk modelling. As the next generation of GPUs are deployed, classical AI will evolve fast, and models will be able to process much larger datasets…

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