The effectiveness of AI, ML, Data Science, and LLMs hinges on the quality of their training data. Data readiness extends beyond quantity, requiring clean, robust, and ethically handled datasets. This whitepaper explores crucial elements, from cleansing to governance, offering steps for future-ready data to unleash AI’s true capabilities.