The first step toward successful artificial intelligence (AI) deployment is often the most overlooked: data preparation. Without high-quality, well-prepared data, AI projects face a significant risk of failure. In this webinar, we'll explore essential preparation techniques, such as data chunking, vectorization, and semantic analysis, to help your organization enhance data quality and structure. Join us to understand why preparation is key to AI enablement and how this foundational stage can elevate your entire AI initiative. You’ll also learn how to implement data enrichment, metadata tagging, and classification strategies to ensure your AI models receive context-rich information, driving meaningful outcomes and reducing errors.