# Introudction to GRAKN.AI: The Knowledge Graph
Cognitive/AI systems process knowledge that is far too complex for current databases. They require an expressive data model and an intelligent query language to perform knowledge engineering over complex datasets. In this talk, we will discuss how GRAKN.AI, a database to organise complex networks of data and make it queryable, provides the knowledge base foundation for intelligent systems to manage complex data. We will discuss how Graql, Grakn's reasoning (through OLTP) and analytics (through OLAP) query language, provides the tools required to do the job: a knowledge schema, a logical inference language, a distributed analytics framework. And finally, we will discuss how Graql’s language serves as unified data representation of data for cognitive systems.
# Haikal Pribadi
Haikal is the Founder and CEO of GRAKN.AI, the database for AI. His interest in the field began at the Monash Intelligent Systems Lab, where he built an open source driver for the Parallax Eddie Robot which was then adopted by NASA. After which, he completed a masters degree in Advanced Computer Science from the University of Cambridge. Haikal was also the youngest Algorithm Expert behind Quintiq’s Optimisation Technology that powers some of the world’s largest supply chain systems in transportation, retail and logistics. He now works on GRAKN.AI, the knowledge graph for knowledge-oriented systems. GRAKN.AI was recently awarded Product of the Year 2017 by the University of Cambridge Computer Lab.
# Event Details
Date: Tuesday, March 27, 2018
Timings: 18.30 - 19.00: Networking & Pizza
19.00 - 19.45: Introduction to GRAKN.AI: The Knowledge Graph
19.45 - 21.00: Networking & Drinks