Humans in Loops, Flows, and Dialogues

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

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.

If We’re Truly in the Knowledge Age, Why Is Higher Education in Crisis?

Clearly, both traditional college degrees and specialized trade certifications are too narrow and fragmented to fully prepare students for what lies ahead. For now, a hybrid system is emerging that balances the arts and the sciences, augmented by one or more areas of specialization. KM's multidisciplinary nature gives us a distinct advantage in helping to make this transformation happen. The trick is knowing when to work inside and when to work outside the formal system.

A Call to Arms for Information Professionals

The AI world is advancing at a breathtaking pace with staggering sums of money, but it's built on unstable and illusory foundations. Our role is not to stand on the sidelines shouting warnings. It is to quietly, strategically, and indispensably become the people they cannot do without—the ones who ensure the entire system can actually function.

Why Embodied Knowledge Matters and Why AI Doesn't Understand

A machine-learning large language model doesn't have tacit knowledge. It consists of potential knowledge.

The CIO Strategic Playbook for AI in 2026

100 Companies that Matter in Knowledge Management 2026

Content Leaders Collective: What a Good CCMS Actually Looks Like

How High Tech Leaders Can Transform Digital Content

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