The key to building AI at scale isn’t just better models—it’s better data. This session explores how high-quality, well-managed data ensures reliability, accuracy, and trust in AI-driven decision-making. Discover advanced techniques for dataset versioning, standardized workflows, and automation to maintain consistency across projects. Hear from industry leaders on how a data-centric approach to AI development enhances reproducibility, mitigates bias, and accelerates innovation.