Data issues remain a key obstacle across the training, deployment, scaling, and ROI of AI initiatives at many enterprises. A strong data foundation for AI must balance the demand for fast access to large, diverse datasets across different environments while ensuring effective safeguards are in place that guarantee clean, high-quality data is being used in secure, compliant ways.