Connected Data London 2017 Talks
Presentations
Building the world’s largest open source of company data
Building NextGen Enterprise data platforms
Beyond Machine Learning: Delivering Technology for People through Explainable AI
Data Quality and Data Usage in a large-scale Multilingual Knowledge Graph
Leveraging AI to construct large scale scientific knowledge graphs
Tackling climate change through agricultural supply chain transparency
Transforming access to culture & history with Connected Data
Cognitive Computing for the delivery of healthcare
Associative Semiotic Hypergraph Database in Intersystems Cache with Python Pandas
RDF vs. Property Graph: Is your Graph Semantic?
A Knowledge Graph-Based Semantic Database for Biomedical Sciences
How to Build a Corporate Knowledge Graph – from the bottom up
Data Model vs Ontology Development – a FIBO perspective
RDF and OWL : the powerful duo
Techniques for effective graph visualisation
Panel Discussions
Linked Open Data: Is it failing or just getting out of the blocks?
Does Connected Data need AI or AI need Connected Data?
Getting Connected Data off the ground in your organisation