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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:
Professional Diversity: Industry practitioners, Business Users, Faculty, Scientists, Students
Gender & Age 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.
Live stream preview
Ben Szekley | How To Build Enterprise Scalability Knowledge Graph Platforms
In recently naming graph technology one of their top 10 trends data and analytic trends for 2021, the Gartner Group highlighted an emerging pattern: today an ever increasing number of F1000 organizations are implementing graph technology not to address point graph use cases, but rather data integration and analytics use cases through enterprise scale knowledge graph platforms. The data diversity, complexity and volume inherent within these initiatives places scalability and functional demands on the underlying knowledge graph technology- far beyond what has typically been required in the past. In this session, we will explore the specific challenges associated with deploying a knowledge graph at enterprise scale with a special focus in six key areas:
Data Source Diversity
Performance and Efficiency
Ease of Use
Ben Szekley is the Chief Revenue Officer and co-founder of Cambridge Semantics, a company built around big data management. Ben talks about the issues his customers go through and he provides several use cases of scalable knowledge graphs to help provide an insight on what Cambridge Semantics does to build out the knowledge graph space. #knowledgegraphs #knowledgegraphconference #knowledgegraphandbigdataprocessing #knowledgegraphsinindustry