The path to achieving success in artificial intelligence (AI) lies not just in having vast amounts of data, but also in how well enterprises manage, understand, and innovate with that data. The recent Evanta Chief Data and Analytics Officers (CDAO) Summit highlighted the paradox between AI's demand for boundless access to data and its need for governance, security, and compliance. Many organizations struggle with unstructured data, which presents a significant challenge in reaching higher levels of data maturity. Regulatory realities also vary across industries and regions, with some countries imposing stricter regulations than others. As organizations build out AI capabilities, tensions over data access and ownership are growing, with product teams seeking unfettered access to data while data governance leaders and security teams prioritize safeguarding sensitive information. Ultimately, successful AI requires a culture of responsible data stewardship, balancing innovation with accountability. Fivetran's mission is to empower organizations to scale their data responsibly, centralizing data, automating governance, and facilitating collaboration between product and IT teams.