Content related to Enterprise AI Meets Access and Entitlement Challenges: A Framework for Securing Content and Data for AI
Multimodal Graph RAG (mmGraphRAG): Incorporating Vision in Search and Analytics
David Hughes, Principal Data & AI Solution Architect at Enterprise Knowledge, presented “Unleashing the Power of Multimodal GraphRAG: Integrating Image Features for Deeper Insights” at Data Day Texas 2025 in Austin, TX on Saturday, January 25th. In this presentation, David … Continue reading
Data Management and Architecture Trends for 2025
Today, many organizational leaders are focused on AI readiness, and as the AI transformation is accelerating, so are the trends that define how businesses look for, store, secure, and leverage data and content. The future of enterprise data management and … Continue reading
A Guide to Selecting the Right Auto-Tagging Approach
Auto-tagging processes automate the manual labor of applying relevant keyword tags to data and content, enhancing accessibility and improving the organization of large datasets. Whether you’re trying to improve how quickly you find data or embarking on a content cleanup … Continue reading
Data Governance Program Starter Kit
A successful data governance program must align with organizational priorities, ensure data consistency, and provide clear accountability. However, many organizations face challenges such as undefined roles, lack of cross-functional collaboration, and inconsistent processes, which can impede governance efforts. For Data … Continue reading
Data Catalog Expansion Workshop
A data catalog is a centralized repository that organizes, manages, and indexes an organization’s data assets and related metadata, making it easier for users to discover, access, and understand the data available to them. It serves as a foundation for … Continue reading
Data Governance Maturity Assessment
An organization’s data governance maturity is directly correlated with its probability of success when launching modern data initiatives aimed at increasing data reliability, ownership, compliance, usability, and scalability. Substandard data governance can counteract these efforts over time, resulting in failed … Continue reading
Data Product Accelerator
Data products are reusable data resources that collect and enrich data in order to answer specific questions about a use case and also provide structured access through APIs or visualization tools. As organizations strive to extract more value from their … Continue reading
Improve Enterprise AI with Semantic Content Management
In my article, How to Prepare Content for AI, I introduced some basic steps to help you prime your organization’s content for an effective AI implementation: two of those steps – structuring and componentizing – are often misunderstood or skipped … Continue reading
Hybrid Approaches to Green Information Management: A Case Study
Today, enterprises have more tools than ever for creating and sharing information, which leads to significant challenges in managing duplicate content. Enterprise Knowledge’s Urmi Majumder, Principal Consultant, and Nina Spoelker, Consultant, presented “Hybrid Approaches to Green Information Management: A Case … Continue reading
Semantic Layer Symposium – Norbert Gergely
Earlier this year, the Semantic Layer Symposium in Munich brought together industry leaders, data scientists, and Knowledge Management (KM) experts to explore cutting-edge developments in data integration and AI-driven insights. This groundbreaking event fostered lively discussions on the future of … Continue reading