Content related to Expert Analysis: Top 5 Considerations When Building a Modern Knowledge Portal
Enterprise Semantic Layer for Firm-Wide Risk Management at a Financial Services Firm
One of the top global leaders in automotive manufacturing faced significant challenges in managing and accessing critical knowledge across its diverse teams. The company engaged Enterprise Knowledge (EK) to conduct a Knowledge Management (KM) Strategy and solution implementation project plan after the failure of multiple KM initiatives. The engagement’s long-term goal is to establish a shared Knowledge Management System (KMS) to streamline access to crucial information, better leverage experts’ institutional knowledge and experience, and decrease new employees’ time to proficiency. Continue reading
Steps to Improve AI Outcomes with Context Engineering
When it comes to successfully implementing AI solutions, a common refrain in most implementations is that your results are only as good as your inputs. To avoid this pitfall, we have seen both data and content teams ask “are my … Continue reading
Cutting Through the Noise: RDF & LPG
When do you choose a Resource Description Framework (RDF) graph over a Labeled Property Graph (LPG), and vice versa? And when does it make sense to combine both to model your knowledge domain? RDF and LPG serve distinct purposes. RDF … Continue reading
Your AI Can Reach Everything and Understand Nothing
Connectivity is solved. Understanding and precision are not. Why retrieval systems need a semantic foundation. I met up with a colleague at a conference recently. She was newer to the world of semantics and mostly excited by what she was … Continue reading
From Risk to Readiness: Anatomy of an AI-Ready Knowledge Asset
The hidden risk in your AI investment isn’t the technology; it’s the content. The core issue is that humans and AI systems process information differently: humans infer context and build on an ever-expanding web of knowledge; AI systems require explicit … Continue reading
A Practical Guide to an Intranet Remodel: Small Taxonomy Wins for a Big Impact
The world of knowledge management is moving at a fast pace and it is challenging to keep up with trends that often demand investing in the latest tooling to solve increasingly complex semantic challenges. However, for many organizations, particularly non-profits, … Continue reading
Knowledge Cast – Wael Taha, Vice President of Enterprise Architecture at Brown Brothers Harriman
Enterprise Knowledge’s Lulit Tesfaye, VP of Knowledge & Data Services, speaks with Wael Taha, VP of Enterprise Architecture at Brown Brothers Harriman. Over the past 12 years, Wael has dedicated his career to architecting D&A solutions and directing D&A professionals … Continue reading
Ontology and Knowledge Graph in the Age of AI and Agents
As organizations accelerate investments in AI, semantic data models, advanced analytics, and agentic transformation, lots of jargon gets thrown around, and this sometimes results in confusion about how data driven systems work. In the realm of semantic layers, one of … Continue reading
Knowledge Cast – Bridging Knowledge, Data, and AI by Zach Wahl, Joe Hilger, and Lulit Tesfaye
In this special episode of Knowledge Cast, Zach, Joe, and Lulit pass the mic to Senzing‘s Paco Nathan, who interviews them about their new book Bridging Knowledge, Data, and AI: Harnessing the Semantic Layer Framework to Drive Intelligence. Paco guides … Continue reading
Why AI Projects Fail Without a Common Language: The Case for Taxonomy Standards
As organizations rush to adopt AI solutions and technologies, the necessary structures to support such solutions are often overlooked. Gartner predicts that by 2026, 63% of organizations will not have the right data management practices for AI. This gap shows … Continue reading