Maximising Business Value from Content Intelligence and AI

This white paper discusses the challenges and opportunities associated with unstructured data analytics and artificial intelligence (AI) in enterprises. It outlines that while data, analytics, and AI are increasingly viewed as strategic assets, a significant portion of enterprise data—approximately 80%—is unstructured and often remains untapped. The paper identifies several key challenges hindering the effective use of unstructured analytics, including the distributed nature of unstructured content across various systems, limited classification and metadata, and the inadequacy of unstructured data for AI applications. It emphasizes that for organizations to leverage the potential insights hidden within unstructured content, they must address these challenges by implementing effective content intelligence strategies. The paper also highlights how generative AI can facilitate the automation of unstructured content processing, democratizing access to content intelligence and enabling businesses to maximize value from their data assets.