Hi all, To keep you going with your monthly fill of graph database knowledge, Graph Database Brisbane meetup group will be bringing you an IN PERSON edition this month in cooperation with the Data Engineering Meetup Group.
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Speakers:
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Matt Smith, Solution Consultant, Neo4j
Talk Title: Graph Databases and Neo4j
Talk Summary:
Graph database technologies are enabling comprehensive representation and sophisticated analysis of complex data domains across health care, finance, security, enterprise data management, and beyond. In this talk, Neo4j Graph Architect, Matt Smith, will provide an overview of Neo4j, and how to translate from relational databases to graph databases, and will show a demonstration using Neo4j.
Bio:
A part of Neo4j’s APAC Field Engineering team, Matt assists customers throughout the graph database decision-making and implementation journey. Having worked in the non-relational world for many years, Matt has provided direction to government, defence and policing as well as the full spectrum of industrial and commercial enterprises, both locally and worldwide. Matt has a key focus on integrating Neo4j graph database technology into customer solutions for both operational and research applications.
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Dan Newland, General Manager, GraphAware
Talk Title: Graphs in Criminal Intelligence
Talk Summary:
Law enforcement and intelligence agencies are challenged by siloed datasets, complex data types, and large data volumes. It’s the responsibility of intelligence analysts to find relationships between entities of interest in the masses of information they have access to. Relational data structures make this task significantly harder, as data is stored in a form that is incongruent with the completed analysis. In this session, Dan Newland from GraphAware will demonstrate how graphs provide a platform for data unification, streamlined intelligence and advanced analysis of criminal networks. Dan has experience delivering graph data platforms for several large Australian federal government agencies and will share how graphs transform intelligence locally. To close, Dan will walk through a live demo using Neo4j and Hume to identify key linkages between persons of interest in an intelligence case.
Bio:
Dan is the General Manager for GraphAware Australia / New Zealand. He holds bachelor’s degrees in both Psychology and Criminology, and a master’s degree in Data Science from the Queensland University of Technology. Prior to working at GraphAware, he led the implementation of Graph technologies at several Australian federal government agencies. These federal government projects used Graph technology for criminal intelligence, tax avoidance and fraud detection. Backed by his academic and work experience, Dan has a keen interest in applying Graph technologies in the realms of intelligence, law enforcement and public safety. He now leads the GraphAware Australia / New Zealand team, ensuring their customers throughout the region achieve success.
Remember to bring along some great questions!
