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Register NOW for London's KMWorld Europe 2026 at the early bird rate.
Early bird offer ends 13 March.

2026 State of KM & AI Report

The State of KM & AI: Results of a KMWorld Survey Rapid adoption of generative AI (GenAI), combined with long-standing AI technologies such as machine learning, semantic search, knowledge graphs, and semantic layers, has had an outsized impact on the practice of KM. At the same time, there continues to be skepticism, as not all AI-driven projects have delivered on their promised value. From a KM perspective, however, the influence of AI on content creation, curation, organization, access, and dissemination is undeniable...

KM for AI: From Human to Agentic AI Enablement

Artificial intelligence isn’t just a technology; it’s the new audience and purpose of Knowledge Management. For the past two years, conversations have centered on how AI might alter KM through smarter content creation, automated tagging, and classification. Useful, yes, but incremental. Reshaping KM with AI is inevitable. The real issue is reshaping KM for AI, a shift that will transform KM for a new mission: Agentic AI enablement....

2026: Moving Beyond “Data-First” to a “Knowledge-First” Architecture The generative AI gold rush of previous years has matured into a pragmatic operational reality in 2026. The industry’s focus, once fixed on model scale and compute power (a “data-first” race), has shifted. The fundamental truth is that scale alone lacks value; context is key. The defining shift of 2026 is from powerful models to meaningful ones—moving from “power to purpose” and adopting a “knowledge-first” architecture over “data-first.” Organizations are no longer content with successful pilots that fail to scale...

How M-Files and Microsoft Are Revolutionizing Context-first Document Management with AI and Automation

For years, executives from Microsoft and document management platform provider M-Files would meet across the aisles at industry events, often as competitors. Today, the narrative has shifted dramatically. The two companies are now strategic partners, collaborating to deliver integrated, context-first solutions that redefine productivity, security, and intelligence for the AI era...

For many enterprises, AI isn’t delivering. The solution is knowledge graphs.

In recent years, the enterprise landscape has become saturated with AI tools promising unprecedented growth. Yet for many organizations, the return on their AI investment has been disappointing. Instead of driving transformation, current AI strategies often fall short, with applications proving more limited, expensive, and less trustworthy than expected...

Bridging the AI Gap: From Knowledge Chaos to Compliant Intelligence

AI is changing every corner of the enterprise, from how customer support resolves issues to how IT teams scale knowledge and service. But as leaders move aggressively toward implementing AI, a sobering reality continues to surface: AI cannot perform reliably if the knowledge behind it isn’t ready for AI...

From fragmented to foundational: enterprise AI search as the key to information discovery

Every day, knowledge workers lose valuable time hunting for information that should be at their fingertips. Emails pile up. Slack threads multiply. Documents scatter across SharePoint, Google Drive, and other systems. Even with the promise of AI assistants, more than a third of employees still can’t find what they need...