An exclusive online discussion for senior data and analytics leaders in Shanghai.
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?
Job titles include CIOs, CTOs, CDOs, CDAs, Heads of Data and Analytics, SVPs for Data and Analytics, VPs and other relevant senior executives of Data and Analytics from the Bank, Conglomerate, Telecommunication, Digital Native industries in Shanghai.
Attendance is by invitation only and is, of course, complimentary.
2:00 pm: Welcome by The Ortus Club and short address from Neo4j & Dataiku
2:15 pm: Discussion instigated by the moderator and continued by the group
3:15 pm: Discussion brought to a close