{"slug": "fluid-topics-and-guru-showcase-agentic-ai-for-knowledge-discovery", "title": "Fluid Topics and Guru showcase agentic AI for knowledge discovery", "summary": "KMWorld hosted a webinar featuring Fluid Topics and Guru that connected knowledge discovery and collaboration with agentic AI, discussing why different knowledge domains require different approaches and solutions.", "body_md": "Industry Applicationsknowledge managementagentic aiwebinar\n\n# Fluid Topics and Guru showcase agentic AI for knowledge discovery\n\n|\n\n4.6\n\n**KMWorld** hosted a webinar featuring **Fluid Topics** and **Guru** that connected knowledge discovery and collaboration with agentic AI. Presenters discussed why different knowledge domains require different approaches and solutions.\n\n## Scoring Rationale\n\nA KMWorld webinar connected knowledge discovery and agentic AI and offered practitioner perspectives; impact is modest because it was a discussion rather than a new product or research release.\n\nPractice interview problems based on real data\n\n1,500+ SQL & Python problems across 15 industry datasets — the exact type of data you work with.\n\n[Try 250 free problems](/problems)", "url": "https://wpnews.pro/news/fluid-topics-and-guru-showcase-agentic-ai-for-knowledge-discovery", "canonical_source": "https://letsdatascience.com/news/fluid-topics-and-guru-showcase-agentic-ai-for-knowledge-disc-55966aa7", "published_at": "2026-06-24 17:15:18.185411+00:00", "updated_at": "2026-06-24 17:15:19.854310+00:00", "lang": "en", "topics": ["ai-agents", "artificial-intelligence"], "entities": ["KMWorld", "Fluid Topics", "Guru"], "alternates": {"html": "https://wpnews.pro/news/fluid-topics-and-guru-showcase-agentic-ai-for-knowledge-discovery", "markdown": "https://wpnews.pro/news/fluid-topics-and-guru-showcase-agentic-ai-for-knowledge-discovery.md", "text": "https://wpnews.pro/news/fluid-topics-and-guru-showcase-agentic-ai-for-knowledge-discovery.txt", "jsonld": "https://wpnews.pro/news/fluid-topics-and-guru-showcase-agentic-ai-for-knowledge-discovery.jsonld"}}