Knowledge Base - Enterprise Knowledge

Knowledge Cast – Ashish Kanal, Founder and Independent Advisor in KM and L&D

Zach Wahl . April 23, 2026 . Podcast

Enterprise Knowledge CEO Zach Wahl speaks with Ashish Kanal, a founder and independent advisor currently working at the intersection of Knowledge Management and Organizational Learning. Over 24 years across life sciences, chemicals, oil and gas, IT, and more, Ashish has … Continue reading

How to Improve Enterprise AI Adoption: AI Observability & Evaluation

Maryam Nozari . April 16, 2026 . Blog

Part 1: Why Agentic AI Demands a New Kind of Visibility The AI Trust Problem No One Is Talking About Your AI product is live. Latency looks fine. Uptime is green. And yet, somewhere in production, your AI is quietly … Continue reading

Taxonomies in the Age of AI: Evolving Your Strategy

Bonnie Griffin . Justin Grossman . April 15, 2026 . Blog

The Topic Taxonomy: An Outdated Artifact? As knowledge workers continue to navigate constantly evolving priorities in developing effective AI solutions that complement organizational priorities, semantics have maintained their value—but not without shifts that deserve our attention. Broadly speaking, one reliable … Continue reading

From Slides to Structured Data: Preparing Slide Decks for AI Systems

Anna D'Angela . April 10, 2026 . Blog

Slide decks are everywhere in most organizations. They are used to share strategies, summarize decisions, communicate complex ideas, and facilitate decisions. They are packed with information, but they’re also inconsistently formatted and can be difficult for machines to properly “read.” … Continue reading

Expert Analysis: What is Enterprise AI-Ready Content?

Elliott Risch . Emily Crockett . April 8, 2026 . Blog

Scaling Your AI Pilot with the Right Contextual Foundations There’s a rush to build AI solutions: recommendation engines, chatbots, analytics dashboards, and virtual agents. But chasing shiny tools, without understanding the full picture can be risky. The organizations that truly … Continue reading

Breaking Down Enterprise AI, Part II: Action Track

Fernando Aguilar Islas . April 7, 2026 . Blog

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

Unified Entitlements: The Essential AI Enabler

Joe Hilger . April 3, 2026 . Blog

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

How to Make Tacit Knowledge Accessible for the Enterprise

Simrat Saini . March 26, 2026 . Blog

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

Lulit Tesfaye . March 19, 2026 . Blog

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

EK Team . March 18, 2026 . Case Study

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