Events 2019

Date 3rd-4th October 2019
Time All-day
Place Hilton DoubleTree Tower of London, 7 Pepys St, London EC3N 4AF, UK

The Future is Graph, Knowledge Graph. Connected Data London is where you get your graph knowledge.

Hardly any other event harmonises so well with CONWEAVER and our technology as the, which has written the subject of linking data on its forehead.
Marketing Director Michael Graf and Business Development Director Yeghishe Mkhitaryan are looking forward to their visit to the British Isles and a meeting with you at the Afternoon Tea.

About the Event

Connected Data London, the leading event for those who use the relationships, meaning and context in Data to achieve great things, has announced its lineup for 2019.
Building on a tradition dating back long before analysts like Gartner proclaimed knowledge graphs a key technology of the 2020s, the conference focuses on Knowledge Graphs and Graph Databases, AI and Machine Learning, Linked Data and Semantic Technology.

Keynote presentations by Joshua Shinavier, Research Scientist at Uber, and  David Gorena, Microsoft AI Program Manager, will explore the present and future of knowledge graphs at scale, from philosophy and cognition in Search of the Universal Data Model, to AI applications in the cloud powered by the Largest Graph of Human Activity at Work ever Created.

The conference also features leading experts and practitioners from the likes of Bayer, GSK, JP Morgan, Farfetch, Inrupt, nVidia, Refinitiv, and

Connected Data London features over 30 leaders  and innovators in talks and panels across 4 tracks. The Nodes ?rack features talks and panels from industry leaders on mainstream topics. The Edges ?rack features innovative concepts, applications and research. The Educational Track features lively and interactive presentations and demos. New in 2019, the Life Sciences track. It gives the floor to industry and research leaders sharing use cases and best practices in their field. 

Source & logo: © 2019

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Your Contact

Marc Fauquembergue
Manager Marketing Operations


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