The Data and Analytics Leaders’ Virtual Roundtable

An exclusive online discussion for senior data and analytics leaders in Shanghai

Companies are transitioning towards more automated services which depend on technology that maintains a high level of sophistication. AI is one of the tools being leveraged in this regard. However, it cannot be maximised without drawing on a wealth of human expertise for proper context. Doing so will enable AI to connect data towards meaningful and strategic decision-making, keeping the organisation a notch above the competition—and knowledge graphs kickstart the process.

Our discussions are designed to be very inclusive and interactive, ensuring to leverage the wealth of experience from your senior peers.

Job titles include CIOs, CTOs, CDOs, CDAs, Heads, SVPs, VPs and other relevant senior executives of Data and Analytics in Shanghai.

Attendance is by invitation only and is, of course, complimentary.

Competitive edge with knowledge graphs

AI has become increasingly prevalent in modern-day business. It empowers companies to automate most, if not all, of their operations, and it is generally intuitive enough to solve complex problems as they come. The issue is when AI lacks sufficient context, barring it from performing at its maximum potential.

Knowledge graphs remedy this by aggregating the massive amounts of data that organisations collect and store daily. Its growth is akin to procedural generation, wherein the more data is added to it, and the more companies analyse those additions, the higher its value. Knowledge graphs help ensure contextual relevance, which gives companies a competitive edge regardless of industry.

  • How do knowledge graphs help companies make better business decisions?
  • What are the challenges to incorporating knowledge graphs into a company’s operations?
  • What enhancements can be made to improve the utility of knowledge graphs?

4:00 pm: Welcome by The Ortus Club and short address from Neo4j
4:15 pm: Discussion instigated by the moderator and continued by the group
5:15 pm: End of session

Neo4j is the leader in graph database technology. As the world’s most widely deployed graph database, we help global brands – including Comcast, NASA, UBS and Volvo Cars – to reveal and predict how people, processes and systems are interrelated. Using this relationships-first approach, applications built with Neo4j tackle connected data challenges such as analytics and artificial intelligence, fraud detection, real-time recommendations and knowledge graphs. Find out more at neo4j.com.

Wednesday, 30th of June, 2021

4:00 PM CST


Hosted by:

MeganThe Data and Analytics Leaders’ Roundtable