Pre-Conference Workshops: Monday, 30 April 2018
Workshop A
9:00 am - 11:30 am Implementing Big Data Analysis and Machine Learning to Detect & Investigate Fraud
It takes over 3 years to detect 60% of Fraud cases. However machine-learning has the power to detect fraud in real-time before the point of sale, and patterns that indicate money laundering, through multi-factor
analysis of big data. The facilitator will work with you to create a business case that demonstrates the strategic benefits of implementing big data analysis and machine learning to detect and investigate fraud.
Key Learning Outcomes:
- The ROI and action plan for developing in-house automated detection systems
- Using AI to monitor customer fraud and detect high-volume low value fraud
- Leveraging big data to prevent mobile and online fraud
- Improving KYC frameworks through customer-centric data analysis, such as natural language processing
Workshop B
12:00 pm - 2:30 pm Techniques and Frameworks for Audits and Investigations of Internal Fraudulent Activity
A company is more likely to lose money through internal fraud than from any other typology. Internal investigations allow a company to monitor itself to ensure that its managers, supervisors, and employees comply with the law as well as internal policies and guidelines. This workshop will provide strategies into how a properly conducted investigation can help protect the company from the potential fallout from instances of fraud.
Key Learning Outcomes:
- Understanding different approaches to investigations, such as case theory approach, in order to complete an organised and effective investigation
- Organising and maintaining the evidence to ensure it’s properly logged, secure and accounted for
- Most common fraud schemes and the evidence that indicates sanctionable offenses
- Preparing recommendations and writing a report that enables justifiable action
Workshop C
3:00 pm - 5:30 pm Conducting Forensic Investigations into Cyber-Crime to Improve Security Frameworks
Businesses and consumers lose $300 million per year to online scams, and in 2016 22% of fraud was committed using technology. Having a thorough understanding of computer forensics is now a vital skill in the detection and investigation of fraud. This workshop will provide:
Key Learning Outcomes:
- Understanding the different types of cyber fraud technologies
- Learning how Evidence Assessment, Acquisition, and Examination of cyber fraud differs from traditional investigations
- Case Studies into the detection and investigation of online attacks to improve security frameworks
- Working with Justice agencies in order to report crimes and share information
