Content related to Guillermo
Developing a Semantic Layer Strategy for a Global CPG Leader
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
Knowledge Cast – Ashish Kanal, Founder and Independent Advisor in KM and L&D
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
Three Case Studies that Showcase Why Every Semantic Layer Needs a Strategy
As the world of artificial intelligence and advanced data technologies continues to accelerate rapidly, so does the importance of knowledge and information management frameworks to support AI at scale. At Enterprise Knowledge (EK), we regularly see organizations struggling to navigate … Continue reading
Semantic Layer Enablement and Change Management, Part 1: Understanding Change & Measuring Impact for the Semantic Layer
The semantic layer is a framework of standards and tools designed to work and remain behind the scenes. It is the conceptual layer that sits between your organization’s knowledge assets, like content and data, and the people who need to … Continue reading
How to Improve Enterprise AI Adoption: AI Observability & Evaluation
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
The Topic Taxonomy: An Outdated Artifact?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
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