Content related to Adding Context to Content in the Semantic Layer
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
EK’s Year in Review – 2024
Entering the first full week of 2025, I’m happy to share the Enterprise Knowledge year in review for 2024. This has become a long-standing tradition, dating back to 2016. Every year this is a great reminder of how far we’ve … Continue reading
Enhancing Retail Performance with Semantic Layer As an Enabler for Data and Analytics Teams
Enterprise Knowledge is working with a multinational bank to enable their risk-assessing processes by using semantics and connected data. Heavily regulated financial services firms require comprehensive and complex risk management. This requires employees to thoroughly account for risk and report it in detail to regulators. 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
A Semantic Layer to Enable Risk Management at a Multinational Bank
Enterprise Knowledge is working with a multinational bank to enable their risk-assessing processes by using semantics and connected data. Heavily regulated financial services firms require comprehensive and complex risk management. This requires employees to thoroughly account for risk and report it in detail to regulators. Continue reading
Semantic Maturity Spectrum: Search with Context
EK’s Urmi Majumder and Madeleine Powell jointly delivered the presentation ‘Semantic Maturity Spectrum: Search with Context’ at the MarkLogic World Conference on September 24, 2024. Semantic search has long proven to be a powerful tool in creating intelligent search experiences. … Continue reading
From Artificial Intelligence to Knowledge Intelligence
Much of the dialogue in our industry has been dominated by Artificial Intelligence (AI) and what that means to the fields of Knowledge Management, Data Management, and Content Management. At EK, we’ve been witnessing firsthand the impact of the “AI … Continue reading
Knowledge Cast Product Spotlight – Austin Kronz of Atlan
Enterprise Knowledge COO Joe Hilger speaks with Austin Kronz, Director of Data Strategy at Atlan. Atlan is the active metadata platform for the modern data stack. In their conversation, Austin delves into how Atlan positions itself as a “home for … Continue reading