Data readiness for agentic AI in financial services

# Data Readiness for Agentic AI in Financial Services Banks and investment firms need AI systems that can make real-time decisions, but they're held back by strict regulations and the constant flow of market data—meaning the biggest challenge isn't building fancy AI, it's making sure the data feeding into these systems is clean, current, and trustworthy. If a financial company's data isn't ready to handle split-second updates and regulatory scrutiny, an advanced AI system won't actually perform any better than a simpler one. The real competitive advantage comes down to getting the data right before you deploy the AI.