Contributed by Fivetran

The recent MIT Technology Review Insights report underscores the critical role of data readiness in achieving AI success, revealing that 82% of global executives prioritize robust data foundations, particularly in data integration, governance, and security. With generative AI projected to contribute an additional $4 trillion annually to the global economy, businesses across various industries are actively strategizing to integrate data effectively. The survey, which included 300 C-suite and senior technology leaders, highlights that 64% view data integration as a key investment area, while 77% acknowledge it as a significant challenge. The findings emphasize the necessity of addressing data governance and security from the outset to ensure responsible data usage. Companies like Saks are leveraging platforms like Fivetran to streamline their data onboarding processes, significantly reducing the time required to integrate new data sources. This article delves deeper into the principles of building a strong data foundation essential for AI readiness and explores the challenges organizations face in this critical area.

About Fivetran

Fivetran, the global leader in data movement, helps customers use their data to power everything from AI applications and ML models, to predictive analytics and operational workloads. The Fivetran platform reliably and securely centralizes data from hundreds of SaaS applications and databases into any cloud destination — whether deployed on-premises, in the cloud or in a hybrid environment. Thousands of global brands, including Autodesk, Condé Nast, JetBlue and Morgan Stanley, trust Fivetran to move their most valuable data assets to fuel analytics, drive operational efficiencies and power innovation.

To learn more, visit fivetran.com.