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Connecting the Knowledge Ecosystem Founded in 2019 at Columbia University, The Knowledge Graphs Conference is emerging as the premiere source of learning around knowledge graph technologies. We believe knowledge graphs are an underutilized yet essential force for solving complex societal challenges like climate change, democratizing access to knowledge and opportunity, and capturing business value made possible by the AI revolution. KGC bridges the gap between industry, which is increasingly recognizing the necessity of integrated data, and academia, where semantic technologies have been developing for over twenty years. Our events, education, content, and community efforts facilitate meaningful exchange between diverse groups, and increase awareness, development and adoption of this powerful technology. Conference – bridging the gap between research and industry We organize workshops and tutorials to progress a number of Tech4Good themes, targeting objectives such as the United Nations Sustainable Development Goals and the development of a COVID-19 vaccine. At our most recent conference, 530 attendees participated, representing over thirty industries across forty-two countries. Speakers ranged from Bell Labs pioneer John Sowa to Morgan Stanley, AstraZeneca, and leading academics from Europe and USA. A variety of workshops and tutorials were also given, including several on tech4good themes–from the UN SDGs to personal health graphs and fake news. KGC Vision and Values Our goal is to build the community and become a leading source of learning around knowledge graphs. We will achieve this by engaging and convening industry leaders and innovators, across sectors. We will focus on the diversity of perspectives: Industry diversity Professional Diversity: Industry practitioners, Business Users, Faculty, Scientists, Students Gender & Age diversity Geographical diversity We will gather, share and publish content to increase learning. We will build the community online and in-person through our content, meetups and conferences.

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Why the Next Trillion-Dollar Platforms Will Capture Decisions, Not Just Data

19m

"https://drive.google.com/file/d/1f0drnGNon5MiiOVrCvvgkzxLhwCfdETr/view?usp=share_link

The last generation of enterprise software — Salesforce, Workday, SAP — became trillion-dollar platforms by owning what happened. The next trillion-dollar opportunity? Owning why it happened.

Enterprise AI agents are stuck in ""pilot purgatory"" — 70% of organizations run AI pilots, but fewer than 20% reach production. The missing layer isn't better models or more data. It's decision context: the reasoning, exceptions, precedents, and tribal knowledge that humans use to navigate ambiguous workflows.

This talk introduces the Context-Skill Stack — combining Context Graphs, MCP, and Agent Skills to capture decision traces as a new system of record. At Kamiwaza, we see this as the infrastructure of the Fifth Industrial Revolution — when AI decision-making becomes measurable enough to manage like any other factor of production.

I'll share real case studies and hard-won lessons from enterprise deployments — including how to demonstrate ROI in language executives understand. Attendees will leave knowing why decision traces, not data, are becoming the next competitive moat."