Explore a conference talk on attacking data before decision-making in artificial intelligence and machine learning. Delve into the mindset shift required for understanding AI, distinguishing between machine learning and deep learning, and examining potential vulnerabilities in financial systems. Learn about stock market manipulation, train model manipulation, and poison attacks in the context of Wall Street trading and Bloomberg Terminals. Gain insights into modeling operations, client data handling, and user awareness in financial technologies. Discuss ethical considerations, assumptions, and potential pitfalls in AI-driven decision-making processes.