learning from experience
AI is already at work in many organizations, but strategy hasn’t always kept pace. New Gartner research shows why businesses need to turn informal AI adoption into organizational capability.
AI makes strong knowledge management more important, not less. Learn four connected practices for capturing, governing, sharing, and improving the knowledge people—and AI tools—need to do their best work.
When performance suffers, training is often the first solution. But if the real issue is a confusing workflow, outdated policy, or broken handoff, training will not fix it.
Waiting to fix knowledge problems creates more than clutter. It creates knowledge debt, an operational cost paid through repeated questions, rework, delays, and unreliable information.
Good instructional design is no longer about producing courses and tracking completions. Learn what modern, performance-focused design looks like in 2026, and why it connects practice, accessibility, AI, trusted knowledge, and measurable outcomes.
When AI gives the wrong answer, the problem may not be the model. Learn how outdated, conflicting, and unowned knowledge undermines AI at work.
Orientation introduces employees to the company. Effective onboarding helps them find answers, understand how work gets done, and succeed long after day one.
Treat organizational knowledge like a product: designed for users, easy to find, trustworthy, owned, and improved over time.
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Agentic AI can help L&D teams move faster—but only when clear rules define what AI agents can access, decide, and do.
Outdated training can lead to confusion, inconsistent performance, and some seriously creative workarounds. Here are five signs your training materials are ready for a refresh.
