You Can't Reinvent for the Future with Systems Built for the Past

Flexible, responsive data infrastructure is the minimum viable requirement for companies that want to avoid getting left behind.

EASL Co-Founder Davis Rosborough argues that over 60% of AI initiatives fail because companies rely on static legacy infrastructure and brittle ETL tools that break under real-time schema changes. Fearing risky “rip-and-replace” overhauls, organizations waste up to 70% of IT budgets maintaining outdated systems while engineers burn time patching pipelines. EASL addresses this with an adaptive data movement platform that serves as a flexible governing data layer over existing infrastructure. By delivering real-time transformations, sub-9-minute error resolution, and universal data fetching without full rebuilds, EASL helped a merged media firm accelerate implementation by 90% and save over $400,000 in OPEX. Rosborough urges leaders to stop tolerating integration friction and adopt infrastructure built for continuous change.

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