Join us for TTL 167, we will introduce the new Knowledge Enrichment project for Alfresco.
Organizations generate and store vast amounts of unstructured data: PDFs, emails, scanned documents, meeting transcripts, contracts, and more. These sources often contain critical business insights, yet they’re difficult to access or utilize because they lack a consistent structure. This makes traditional automation and AI tools largely ineffective at extracting meaningful information from them.
In this session, we’ll introduce Knowledge Enrichment, a new approach that turns raw documents into structured, actionable data ready for AI, automation, and analytics.
Knowledge Enrichment is a process that goes beyond simple data extraction. It involves transforming unstructured or semi-structured documents into enriched data objects (tagged with metadata, linked to concepts, and segmented into logical units) so they can be searched, analyzed, and used by modern AI systems. Think of it as building a bridge between messy real-world content and the clean, structured input that AI models and analytics engines crave.
Learn how you can utilize Knowledge Enrichment to power your AI-driven solutions.
Whether you're building search experiences, intelligent assistants, or automating workflows, Knowledge Enrichment gives your unstructured data a second life by making it understandable, contextual, and ready for action.
- Date: Wednesday 16th April 2025
- Time: 10AM EDT | 3PM BST | 4PM CET
- Speaker: Nabih Metri, Hyland Product Manager (Document Filters & Knowledge Enrichment)
Register here
