The study highlights the importance of high-quality data in AI success, as poor data quality can lead to misinformed business decisions that impact an organization's global annual revenue by 6%, or $406 million on average. Despite optimism about AI technologies, many organizations struggle to utilize AI and human intervention is still widely used due to siloed, low-quality, and stale data. To overcome these challenges, companies need to invest in tools that strengthen data movement, governance, and security, and adopt a strong data foundation through data integration.