Content related to Defining Governance and Operating Models for AI Readiness of Knowledge Assets
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
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
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
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