|Game of Fraud|
Game of Fraud
Part of the Community Webinar Showcase brought to you by the OUG Ireland Committee
12:00 - 13:00 (BST) | 30 September
Someone's stealing money from the Iron Bank! After a series of fraudulent transactions, a huge sum of cash is missing. But who's the culprit? This session will show you how to use SQL to implement simple rules-based analysis. It'll then show you how to use machine learning to spot advanced fraudulent activity. This will cover the pros and cons of both approaches. Finally, demonstrating how a hybrid solution can give you the best of both worlds. The demonstration will be implemented in Autonomous Data Warehouse and Oracle Analytics Cloud for the Iron Bank. This session is for developers, data scientists, and analysts searching for complex patterns in data.
About the Community Webinar Showcase
This series of webinars is brought to you by the OUG Ireland committee following the postponement of OUG Ireland 2020. They have selected sessions from the agenda from each topic area to ensure you are still getting access to valuable content.
These webinars are designed for Oracle users and professionals around the world to attend and are not limited to the Irish community. No matter where you are, you can register your place today.
Both members and non-members can attend this event.
This event is already included with your membership
Included in your membership
You can attend this event at the non-member rate but membership may be a more cost effective option, find out more here.
Students can attend for free
Dr Abigail Giles-Haigh, Vertice and Chris Saxon, Oracle
Dr. Abi Giles-Haigh is the Chief Data Science Office at Vertice. She has over 10 years' experience working with data from database management, report writing and advanced analytics. Previously she was part of the Data Analytics Team at the NHSBSA identifying savings and improving patient care. She is an Oracle Ace Associate, UKOUG Technical Speaker of the Year 2016, as well as a Nominated Digital Leader 100. Abi is a technical evangelist in the field of predictive/prescriptive analytics and data mining. She holds a PhD in Computational Modelling and a Bachelor of Science in Computing Science, from Newcastle University.