Human-in-the-loop knowledge maintenance | Appfire "Beyond the flame" скачать в хорошем качестве

Human-in-the-loop knowledge maintenance | Appfire "Beyond the flame"

What if AI could flag outdated documentation before it causes issues, but waited for your sign-off before acting? In this episode of Appfire "Beyond the flame," solution architects Ed Gaile and Dan Tombs unpack what “human in the loop” (HITL) actually looks like in practice — as a strategic advantage for knowledge-led teams. You’ll hear real-world stories, practical use cases, and bold predictions from the front lines of AI-assisted knowledge maintenance. Watch to explore: The real meaning of HITL in an enterprise context How AI and humans can co-own knowledge upkeep — not compete Why confidence scoring could replace manual audits What vibe coding teaches us about contextual trust in AI How to use automation to detect stale screenshots, UI terms, or PII Guardrails, trust signals, and what it takes to “close the loop” If you’re leading knowledge management, ITSM, or scaling Atlassian Cloud, this conversation is packed with insight you can actually apply. 00:00 – Intro: What is “human in the loop”? 01:50 – Why documentation upkeep is harder than it should be 04:40 – A smarter way to find stale content 07:55 – Confidence scoring for Confluence pages 11:10 – Automating updates without removing human control 14:25 – How screenshots quietly break your knowledge base 17:15 – Using AI to surface changes, not just fix them 20:40 – Setting guardrails so AI doesn’t run wild 23:55 – What vibe coding reveals about trust in AI 27:30 – When good enough is actually better 30:20 – Closing the loop: Where customer feedback fits in 33:15 – Why documentation gets deprioritized — and how to change that 36:40 – Culture shift: Small habits that improve knowledge over time 39:55 – Final thoughts: Make HITL actionable in your org today #AIinTech #KnowledgeManagement #HITL #AIandHumans #Atlassian #ITSM #Appfire #BeyondTheFlame #AIContent #AutomationInKnowledge #TechLeadership #ServiceDesk #Confluence #JiraCloud #AITrust #AIWorkflow #KnowledgeOps