Content related to The Role of Unified Entitlements in Getting Your Content AI Ready
From Slides to Structured Data: Preparing Slide Decks for AI Systems
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?
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
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
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
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 of 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
Graph-Based Security & Entitlements: Transforming Access Control for the Modern Enterprise
Introduction Modern organizations face significant challenges in managing entitlements across their increasingly complex technology landscapes. The proliferation of cloud-native architectures and Software-as-a-Service (SaaS) platforms has dramatically expanded the digital footprint of most organizations. Critical assets, including sensitive data, analytics, collaboration … 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