KM and IT Find Collaboration Productive

Tapestry selects Cordial as enterprise messaging platform to advance its global engagement strategy

Tapestry will consolidate onto a single platform across markets, concentrating its messaging capabilities within a unified architecture

Zapier and Rillet partner to create AI-native finance stack

Integration gives finance teams a fully AI-native stack to  orchestrate close, approvals, and reconciliations

Basis Global and AnswerRocket form strategic partnership to revamp market research

New Researcher + AI brand tracking methodology is the first of multiple initiatives designed to drive deeper insights and improved outcomes for clients

Luware overhauls SIX’s financial market communications with cloud-native efficiency and compliance

Microsoft Teams-native call management and recording replace legacy systems while preserving long-term auditability

A Glorious Victory for KM!

That AI has proven itself to be a revolutionary knowledge tool paints a different picture of the world itself. For millennia, we in the West counted as the highest knowledge the bedrock beliefs that ground the certainty of the layers of lesser knowledge that rest upon them. While the success of our culture proves the value of this approach in some critical areas, the rapid advances in knowledge enabled by machine learning based in multidimensional models that are too complex for us to understand remind us of what we've always already known:Our world overwhelms our smidgeon of consciousness. And there's no shame in acknowledging that. In fact, it is genuinely liberating to embrace the fact that the world consists of particulars in infinite relationships, and that we pay a price when we sand down the distinctive differences among them.

Bringing Knowledge Out of the Shadows

We can only wonder how many breakthrough ideas remain undiscovered simply because the right pieces did not fall into place. What better way to make those connections happen by design, rather than by chance, than for KM to provide the missing interstitial scaffolding?

Why Knowledge Management Needs a Quantum Reboot for the Agentic AI Age

By embracing a quantum approach, we can create an organization that is genuinely adaptive and intelligent. Agents, freed from the shackles of classical KM, can roam our knowledge graphs, identifying emergent patterns and unexpected connections that no human ever could. They can see that the support ticket trend and the new feature request in the sales call are actually the same particle, just observed in different contexts.

Humans in Loops, Flows, and Dialogues

I think we are entering—possibly are already in—the era of humans in the dialogue with AI, discovering our values, getting more specific about them, and altering their applications based on the specifics of our world and situation. If the old KM was about building, organizing, sharing, and leveraging knowledge, the new KM might also be about mastering the dialogue: using AI not just to retrieve our answers, but to help us finally articulate the right questions.

2026 KMWorld Guide to KM Trends, Products, and Services

Information Rich: Unifying Fragmented Data With Agentic Workflows in 2026

The CIO Strategic Playbook for AI in 2026

100 Companies that Matter in Knowledge Management 2026

STATE OF AI 2025: MID-YEAR REPORT - Lack of Trusted Content Emerges as Achilles Heel - Survey

State of Play on LLM and RAG: Preparing Your Knowledge Organization for Generative AI

Sponsored by: Graphwise

Toward Greater Visibility in Today's Knowledge World: 2024 Survey on Information Sharing and Transparency

Sponsored by: ProcedureFlow

eGain - The state of Knowledge Management in 2023: Untapped Potential for Business Value - Survey