Hyland, a leader in intelligent content solutions, has launched Knowledge Enrichment within its Content Innovation Cloud, a transformative tool that converts unstructured enterprise data into AI-ready, structured formats. This innovation addresses the challenge of fragmented content, enabling AI agents to deliver precise, context-driven outcomes across industries like healthcare, insurance, and financial services.
Hyland introduces Knowledge Enrichment to structure unstructured data.
Supports AI agents with contextualized, enriched enterprise content.
Handles 600+ file formats, including text, images, audio, and video.
Integrates with data lakes and analytics for seamless AI deployment.
Enhances AI accuracy and reduces manual data preparation.
Showcased at CommunityLIVE 2025, August 25-28.
Hyland’s Knowledge Enrichment tackles the persistent challenge of poorly structured enterprise content, such as documents, images, audio, and video. Unlike traditional approaches focused on user experience or legacy system modernization, it curates and enriches raw data into structured formats with semantic tags, labeled entities, and embeddings. This enables large language models (LLMs) and AI agents to understand, reason, and act with precision, improving automation and decision-making across enterprise operations.
Knowledge Enrichment is tailored for content-intensive sectors, including healthcare, insurance, and financial services. For example, in insurance, it streamlines claims processing by extracting meaning from photos and damage descriptions, as noted by Roy Godwin, managing director at ECM360: “I continue to be impressed by the Content Innovation Cloud, and how Knowledge Enrichment can extract meaning from images and text.” This capability supports smarter automation, reducing manual effort and enhancing efficiency.
As an API-first solution, Knowledge Enrichment integrates seamlessly into enterprise data lakes, catalogs, and analytics pipelines. It supports over 600 file formats, preserving document structure and semantic meaning for accurate AI interpretation. By reducing the need for manual data preparation, it accelerates AI model training and deployment, enabling scalable automation and analytics across organizations.
“Organizations are rapidly adopting AI agents and automation, but without properly connecting their unstructured content and data, these AI-driven workflows consistently fall short of expected business outcomes,” said Michael Campbell, chief product officer at Hyland. Knowledge Enrichment addresses this by providing a robust, AI-ready content foundation. Hyland will showcase this innovation at CommunityLIVE 2025, August 25-28, offering hands-on labs and insights into intelligent content management.
Hyland’s Knowledge Enrichment empowers enterprises to unlock the full potential of their unstructured data, driving innovation and efficiency through context-aware AI agents. By bridging the gap between raw content and actionable insights, it sets a new standard for intelligent content management.
Hyland empowers organizations with unified content, process and application intelligence solutions, unlocking profound insights that fuel innovations. Trusted by thousands of organizations worldwide, including many of the Fortune 100, Hyland's solutions fundamentally redefine how teams operate and engage with those they serve.
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