#### Knowledge Graphs for Bioinformatics
The success or failure of any modern organisation relies on the way they leverage their data. However, most institutions and organisations have no way to aggregate the magnitude and complexity of their disparate data catalogs. They require a unified representation of their data which represents their specific domain truthfully as well as conceptually.
Systems biology is one of the domains that produces huge amounts of data which presents integration challenges due to their complex nature. As understanding the complex relationships among these biological data is one of the key goals in biology, solutions are necessary that speed up the integration and querying of such data.
However, analysing large volumes of this biological data through traditional database systems is troublesome and challenging. In this talk, introduce Grakn, and demonstrate how we integrate disparate biological data into a knowledge graph that leads to valuable new insights of our data at scale.
If you're interested to learn more on this topic ahead of the event:
#### Tomas Sabat, Chief Operating Officer @ Grakn Labs
Tomas is the COO of GRAKN.AI, the knowledge graph for intelligent systems. He works on introducing the world on how to use a Grakn knowledge graph to build cognitive and AI systems, working in industries such a biotech, finance and cyber-security.