Content related to How KM Leverages Semantics for AI Success
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, Hughes … 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
Top Knowledge Management Trends – 2025
The field of Knowledge Management continues to experience a period of rapid evolution, and with it, growing opportunity to redefine value and reorient decision-makers and stakeholders toward the business value the field offers. With the nature of work continuing to … 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
Enhancing Retail Performance with Semantic Layer As an Enabler for Data and Analytics Teams
In the fast-paced retail sector, organizations need to be able to quickly view store performance analytics in order to make crucial decisions. A leading global retail chain faced significant delays of up to 5-6 weeks when attempting to retrieve essential store performance metrics and create reports for executive leadership. This bottleneck was largely due to … Continue reading
Butterfly Effect: Taxonomy and Ontology as AI Catalysts in Enterprise Learning
Organizations understand the importance of leveraging AI to stay competitive in the evolving technological landscape, but do not always know how to get started. In their talk at Taxonomy Boot Camp 2024 in Washington, D.C., Tatiana Baquero Cakici and Sara … 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
Knowledge Cast Product Spotlight – Graphwise
Enterprise Knowledge COO Joe Hilger speaks with Naso Kiryakov and Andreas Blumauer, who discuss the recent merger of two prominent companies in the semantic web space, Semantic Web Company and Ontotext, now operating as Graphwise. They highlight the strategic reasons … 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