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How a Social Knowledge Graph Improves Remote Working by Capturing Context from Instant Messaging

About This Webinar

Neo4j has always been a geographically distributed company. Our employee count of 300+ people is spread over more than 20 countries. Consequently, remote collaboration is in our DNA.

A Social Knowledge Graph can extract topics or moods from instant messaging to improve information sharing. It can also identify “lonely nodes” in times of Covid-19.

In our latest webinar, we will demonstrate how we at Neo4j have leveraged our own technology to improve the efficiency of remote collaboration and avoid "lonely nodes". The webinar illustrates how instant messaging conversations (in this case from Slack) are used to analyze collaboration. And, finally, we will explain how companies can roll out a similar solution in less than two months.

Who can view:
Webinar Price: Free
Featured Presenters
Webinar hosting presenter
Head of Professional Services at Neo4j
Jan Aertsen heads up the Professional Services department at Neo4j. He has 20 years of experience in the analytics industry and has run a vast amount of multi million dollar projects in this space. When Jan is not running the team, he keeps a rock and jazz band inline as the man behind the drums.
Webinar hosting presenter Niels de Jong
Consulting Engineer EMEA
Niels de Jong works as a field engineer for the Europe region at Neo4j, helping customer engineering teams with the implementation of Neo4j, from inception to roll-out.
He has a background in the research and development of query optimization techniques for graph data.
Webinar hosting presenter Morgan Senechal
Field Engineer EMEA • Professional Services
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Neo4j webinar platform hosts How a Social Knowledge Graph Improves Remote Working by Capturing Context from Instant Messaging
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