4 Themes = 4 Great Panels @ CDL18

We’re pleased to feature 4 great panel discussions throughout the day at CDL18 featuring an array of industry experts sharing their experience on the do’s & don’ts of Connected Data. These are informal opportunities to discuss interesting topics, gain valuable perspectives & ask the experts those questions that have been burning away in your mind. […]

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The Year of the Graph: Evaluating graph databases

2018 has been another exciting year for the Graph Database landscape with several key developments, new entrants & increasing adoption. So, do you really need a graph database, and what for? How do you choose one? This panel offers a rapid introduction to the rich landscape of Graph Databases discussing options, starting points, common patterns […]

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AI tribes and interconnections: what’s graph got to do with it?

Nodes Track, 16:35 – 17:05. Moderator: George Anadiotis. Buy Tickets Most of the kind of AI that gets the spotlight these days revolves around machine learning. But there actually are many approaches, or tribes, in AI. What is the role of knowledge representation and reasoning, or symbolic AI, today? How can more traditional, knowledge-based approaches […]

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Building knowledge graphs in the real world

Nodes Track, 14:05 – 14:35. Moderator: Paul Groth. Buy Tickets As the interest in, and hype around, Knowledge Graphs is growing, there is also a growing need for sharing experience and best practices around them. Let’s talk about definitions, best practices, hype, and reality. What is a Knowledge Graph? How can I use a Knowledge […]

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Getting Connected Data off the ground in your organisation

Starting to leverage Connected Data tools, techniques and capabilities in your organisation can seem daunting, yet every leader has had to start somewhere. In this panel discussion leaders and newcomers to the connected data space share some practical tips in getting initiatives off the ground and common pitfalls to avoid. Whether its a Enterprise Knowledge […]

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Does Connected Data need AI or AI need Connected Data?

Connected Data encompasses data acquisition and data management requirements from a range of areas including the Semantic Web, Linked Data, Knowledge Management, Knowledge Representation and many others. Yet for the true value of many of these visions to be realised both within the public domain and within organisations requires the assembly of often huge datasets. […]

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