Breaking Down Enterprise AI, Part II: Action Track
Introduction Organizations have access to a broad and rapidly expanding set of AI capabilities, from systems that monitor and analyze data to tools that generate content, automate decisions, and orchestrate complex workflows. Despite this abundance, many organizations struggle to apply … Continue reading
Joe Hilger and Angie Luong to Speak at Data Summit 2026
Enterprise Knowledge’s Joe Hilger, Chief Technology Officer, and Angie Luong, Senior Technical Analyst, will co-facilitate an in-person, half-day workshop called “Building the Semantic Layer of Your Data Platform,” at the 2026 Data Summit Conference in Boston on Tuesday, May 5. … Continue reading
Unified Entitlements: The Essential AI Enabler
Data and information security is often seen as a necessary evil that slows down the implementation of valuable new systems. We have all waited for security approval before launching a new system. However, AI is changing the narrative, and KM … Continue reading
Lulit Tesfaye and Urmi Majumder to Speak at Data Summit 2026
Enterprise Knowledge’s Lulit Tesfaye, Partner and Vice President of Knowledge and Data Management, and Urmi Majumder, Principal Data Architect, will present “Emerging Knowledge and Data Ecosystems – Understanding the Enterprise Trends and Case Studies” at the 2026 Data Summit Conference … Continue reading
How to Make Tacit Knowledge Accessible for the Enterprise
Much of what an organization’s employees know isn’t written down. Tacit knowledge refers to exactly that: “highly internalized knowledge that is difficult to articulate, record, and disseminate.” It manifests as a deep, institutional understanding of the daily operations, unwritten processes, … Continue reading
What is the Difference Between a Semantic Layer and a Context Layer? When to Use a Knowledge Graph vs. a Context Graph
Before AI became part of everyday conversations, most enterprise knowledge and data projects had a somewhat straightforward goal: to create a “single source of truth.” In theory, this meant that everyone in the company could look at the same search … Continue reading
Leveraging a Semantic Layer for Research Curation and Conversational Experiences
The Challenge A global philanthropic organization focused on health programs struggled to fully leverage knowledge from semi-structured and unstructured documents. Specifically, within a health-related funding program, researchers lacked access to key qualitative data from end-user surveys and transcripts. Consequently, they … Continue reading
Knowledge Cast – TJ Hsu, Director of R&D Knowledge Management at Amgen
Enterprise Knowledge CEO Zach Wahl speaks with TJ Hsu, Director of R&D Knowledge Management at Amgen. With over a decade of experience in artificial intelligence and knowledge services, TJ currently leads a team dedicated to enhancing Amgen’s research, development, and … Continue reading
Understanding the New Knowledge, Data, and AI Ecosystem: Trends in Enterprise AI Architecture
The way we consume, create, and engineer information has changed dramatically, with the last several years demonstrating a marked transformation due to Artificial Intelligence (AI). According to a recent report, Generative AI adoption has reached a tipping point, with nearly … Continue reading
Optimizing Historical Knowledge Retrieval: Extracting Knowledge by Making Connections
The Challenge From POC to Production A Federally Funded Research and Development Center (FFRDC) faced significant challenges with low-quality or incomplete metadata for managing and cataloging scientific reports, hindering researchers’ ability to parse repositories and efficiently discover relevant content. As … Continue reading