@KGConference

KGC brings together leaders across industry and research defining the future of knowledge graphs, LLMs, and AI.

New York City
Joined October 2018
人を増やさずに会社を成長させる、AIネイティブ企業の仕組み|ソン・ミンスン氏 会社を成長させるには、社員を増やし続けるしかないのでしょうか。 従来のエージェンシーは、手作業が多く、事業の拡大に合わせて人件費も増えやすい構造でした。 一方、AIを前提に業務を自動化する「AIネイティブ企業」では、人を増やさずに事業規模を広げ、ソフトウェア企業に近い利益率を目指せる可能性があります。 AIによって変わる企業の成長モデルについて、ソン・ミンスン氏が語ります。 登壇者:ソン・ミンスン氏 umoh CEO 📩 ニュースレター登録はこちら bit.ly/4h64H9f 🎟️ AIBB 東京 2026 冬への参加登録はこちら luma.com/pflbwift #AIBB東京 #AIBBTOKYO #AIネイティブ #生成AI #業務効率化 #経営 #事業成長
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🌞 How was everyone's summer? We've been quiet, but that doesn't mean we stopped planning for KGC 2027. Big annoucement! The Knowledge Graph Conference (KGC) is moving to Manhattan for 2027. Next May, we'll be at Jay Conference Bryant Park, right in Midtown.
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Bryant Park gives us the space to grow into the community that keeps showing up for KGC year after year. • Save the date: May 3–7, 2027 • Agenda and registration details to follow in the coming weeks!
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KGC Learn is our peer-learning program: real projects, real feedback, actually building with knowledge graphs instead of just reading about them. Tomorrow, 3 teams from this year's cohort demo what they're building: 1/ Chris Lastovicka, faculty expertise as a knowledge graph
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Come join, give feedback, nerd out with us. Virtual, everyone welcome.
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This coming Tuesday’s KGC Learn Demo Day just picked up another session! François Serra and Clara Letscher, both at ADEO, are working together on a project exploring how to build a federated knowledge graph for a retail organization.
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New session just added to July's KGC Learn Demo Day! Satya Pavan Kumar Sighakolli, an AI/ML engineer working in ontology and knowledge graph systems, is building a skill graph that's meant to outlast the resume.
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Knowledge graphs aren't a one-shot build. They're a production system that has to hold its value over time. @giuseppe_futia spoke at KGC 2026 on exactly that. Check out his book and training program below.
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LLMs bring fluency. Knowledge Graphs bring ground truth. For François, that distinction is everything. The Knowledge Graph is the memory of the enterprise! Traceable, consistent, built to last. It doesn't approximate ... it knows.
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Knowledge Engineer's role barely changed for decades. ...then everything shifted at once. Construction: AI now does what took specialists weeks. Consumption: LLMs reason over graphs - only if well-documented. Watch the shorts to learn more!
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