Presented By O’Reilly and Cloudera
Make Data Work
21–22 May 2018: Training
22–24 May 2018: Tutorials & Conference
London, UK
haikal haikal

haikal haikal

Website | @haikalpribadi

Haikal Pribadi is the founder and CEO of GRAKN.AI, the database for AI, which uses machine reasoning to handle and interpret complex data. Haikal and his team work on building Grakn, a knowledge graph data platform, and Graql, a knowledge-oriented graph query language that performs machine reasoning to simplify complex data processing for AI applications. GRAKN.AI was recently awarded product of the year for 2017 by the University of Cambridge Computer Lab. Haikal’s 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. Haikal was also the youngest algorithm expert behind Quintiq’s optimization technology, which supports some of the world’s largest supply chain systems in transportation, retail, and logistics. He holds a master’s degree in AI from the University of Cambridge.


14:0514:45 Thursday, 24 May 2018
Data engineering and architecture
Location: S11A Level: Intermediate
haikal haikal (GRAKN.AI)
Average rating: ***..
(3.50, 2 ratings)
Haikal Pribadi explains why knowledge graphs (KGs) are important for AI systems in the finance sector and details how they are being used to detect and uncover new knowledge, specifically for risk analysis, fraud detection, and GDPR use cases. Read more.