Community, Events, Thought Leadership. For those who use the Relationships, Meaning and Context in Data to achieve Great things
Our flagship virtual event is here
Adding context to data turns it to information. Processing information turns it to knowledge.
The keys to these transformations are connections and metadata.
Knowledge Graphs, Graph Data Science and AI, Graph
Databases and Semantic Technology are solid building blocks
that support this process
Do you want to learn how to use these technologies, and the best practices around them, to succeed in your mission?
Do you want to share experience with peers, and learn from experts and innovators?
YOU'RE AT THE RIGHT PLACE
Speakers
An unparalleled lineup of tech industry leaders have come to share their skills.
They will present actionable insights, data-driven knowledge, and innovative ideas
Learn from amazing companies like these
3 Days of workshops, masterclasses, and presentations - Dec 1-3
From best practices and principles to nitty-gritty details.
From ahead-of-the-curve innovation to mainstream adoption.
2 Pre-Events to get a taste of what we're up to - Nov 18 - 19
Check our program!
Not sure what to watch? Here are some talks you won't want to miss.
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Andreea Deac, Dr. Tiffany Callahan, Mikhail Galkin, Dr....
Graph Machine Learning - Research and industry applications
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Ashleigh Faith, Katariina Kari, Michael Uschold & Mike Atkin
Knowledge Graphs in the Enterprise – What You Need to Know
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Paco Nathan Managing Partner, Derwen Inc.
Graph Data Science
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Jerry Michalski, Paramita Mirza, Alan Morrison, Jeff...
Personal Knowledge Graphs: A new paradigm for data sovereignty, productivity and creativity
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Clair Sullivan Graph Data Science Advocate, Neo4j
Knowledge Graphs Created through Basic Machine Learning
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Heather Hedden Data and Knowledge Engineer, Semantic Web Company
Foundation for a Knowledge Graph: Taxonomy Design Best Practices - Part 1
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Evolution of Graph Algorithms – Benefits and Challenges
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Kirell Benzi Ph.D Data Artist. CEO & Founder, Kirelion
Data Art Initiation, Part 1
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Panos Alexopoulos Head of Ontology, Textkernel
Developing NLP Solutions for Automatic Knowledge Graph Construction - Part 1
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Chence Shi, Zuobai Zhang & Zhaocheng Zhu
TorchDrug: A powerful and flexible machine learning platform for drug discovery
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Frank van Harmelen Principal Investigator | Professor, Hybrid Intelligence Centre | Vrije Universiteit Amsterdam
Systems that learn and reason
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Natasa Varytimou Data Architect, UBS
UBS Helix Knowledge Graph – The Power of Information
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Michel Bauwens Founder, Director, P2P Foundation
Digital Curation from the 1980s to the 2020s: Α personal testimony
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Marcus Nölke Cost Value Engineer & Data Analyst, Siemens Energy
How a Knowledge Graph Can Support Advanced Price Analytics in Supply Chain Management
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Gadi Singer VP & Director, Emergent AI, Intel Labs
Thrill-K: Rethinking knowledge layering and construction for higher machine cognition
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Taxonomies: Connecting Data with Duct Tape
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Kurt Cagle Managing Editor, Data Science Central
Knowledge Graphs: Moving Beyond RDF
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Mike Atkin Managing Director, Content Strategies
The Business Case for Data Management
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Peter Kaloroumakis Group Leader, Principal, MITRE
Introducing D3FEND: A Knowledge Graph of Cybersecurity Countermeasures
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Paco Nathan Managing Partner, Derwen Inc.
Graph Thinking
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Dan Boerner Apollo Graph Champion, Apollo GraphQL
Humans and the Graph - Inspiring and empowering GraphQL adoption
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Andreea Deac Researcher, Mila | Université de Montréal
Neural Algorithmic Reasoning: Combining Classical Algorithms and Neural Networks
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Barr Moses CEO & Co-Founder, Monte Carlo
Data Observability: How to Eliminate Data Downtime and Start Trusting Your Data
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