Cognitive & AI Data Infrastructures

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AI and Cognitive systems process knowledge that is far too complex than traditional datasets that current databases were made for. Current databases could not model complex domains and the query languages are not capable of interpreting complex data relationships. Therefore, these knowledge-oriented systems require much advanced data infrastructure to meet the needs of Artificial intelligence computing.

In this community, we will discuss various use cases in AI and Cognitive computing and the data infrastructure built to support the system. We will discuss the applications of relational databases, NoSQL databases, graph databases, as well as hyper-relational databases such as GRAKN.AI tailored for knowledge-oriented systems.

The group is for engineers to demonstrate their solution and share the lessons they learnt, as well as business stakeholders who have implemented or invested in AI and Cognitive computing systems in their organisations.

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