In the world of AI, the importance of data quality and readiness cannot be overstated. AI systems are trained on and respond based on data, so the old saying “garbage in, garbage out” still applies – poor data will inevitably produce poor model outcomes. High-quality, well-prepared data is the bedrock of any successful AI project. Whether you’re a business user configuring a Power Platform AI tool or a data scientist building a custom model, data is the fuel that powers AI.