The Journey To Ai And Business-Ready Data Begins With Information Architecture

This insightful paper emphasizes that the successful journey to AI and business-ready data fundamentally begins with a robust information architecture, prioritizing governance and cataloging. It addresses the critical challenge of exponentially increasing data volume and variety from diverse sources within complex multicloud environments. Readers will learn why investing in data governance is paramount to ensure the quality, accessibility, and compliance of data, which is often unreliable or non-compliant despite significant AI investments. The document highlights how machine learning can automate large-scale governance and integration initiatives, overcoming human limitations and building a trusted analytics foundation. Explore this guide to lay the essential groundwork for your AI and data-driven initiatives.