Agenda

This workshop will give you a comprehensive roadmap to using machine learning and deep learning to automate risk and fraud detection and enhance your accuracy of audit data. You will also learn how to use deep learning to train neural networks and solve problems with minimal supervision. By the end of the workshop, you will be able to demonstrate your knowledge in AI and develop unique applications that will immediately deliver benefits to your organization.

PHILIPPE TOUATI
Partner (Former Head of Institutional Bank of ANZ Bank)
Belmond Capital

MARKUS KIRCHBERG
Head of Innovation
Jewel Paymentech

• Why AI is the new Electricity and Deep Learning is so powerful?
• How AI will change the economics of all business systems, including Risk/Legal/Fin/RegTech
• What are viable AI deployments and what will the Future AI bring?

• How to Embed Analytics in Your Organization’s Existing Technology Development Life-Cycle
• Key Mechanism of Developing Your Machine Learning System Design – the Model, the Parameters and the Learner
• Devising a Successful Machine Learning Strategy

• Impact of AI in Risk Modeling
• Types of Structured and Unstructured Data Used in AI, Machine Learning and Advanced Analytics for Risk Modeling
• Supervised vs Unsupervised Learning
• How to Assess Effectiveness of the Model

• What questions you should be asking throughout the AI implementation
• How you can add value in your role as part of the AI implementation
• What risk, compliance and regulatory factors to consider through each stage of the AI implementation

• Why understanding AIs today is important
• Applications and adoption
• Risk assessment of AI (Not by AI)
• Accuracy is a terrible metric and we need to upgrade

• Key Drivers for AI Deployment in The Fraud Detection System
• How to lower the percent Fraud Detection Rate with Their Deep Learning and AI Deployment
• How Deep Learning Improves Probability Predictions, Identify Higher Percentage of Fraud Cases and Reduce False Alarm

• How Big Data and Machine Learning Can Be Used to Improve Underwriting
• How AI Can Improve Claims Processing and Help to Spot Fraud
• Leveraging on Existing Data and Analytics to Generate Deeper Risk Insights
• Automating Underwriting Processes

• Reviewing Challenges and Lessons Learnt from Existing AI Projects
• How Can We Accelerate AI Implementation in a Sustainable Manner?

PHILIPPE TOUATI
Partner
Belmond Capital

MARKUS KIRCHBERG
Head of Innovation
Jewel Paymentech

Enjoy a glass of champagne whilst networking with other like-minded individuals on topics that are of most interest to you and fellow delegates.

• What Are the Acceptable Failure Rate of an AI Fraud Detection?
• Can AI Replace the Human Touch and Gain Trust on Client?
• Why Is Westpac Holding off Their AI Deployment?

• Opening the “Black Box” so AI can explain its decisions
• How Edge Computing in IoT & elsewhere affects AI development & deployment
• Applying AI when Blockchain/DLT and other forces fragment data
• Cyber Risk – How AI will affect the evolution of offense and defence in Cyber

• How to Utilize Natural Language Processing (NLP) to Help Law and Tax Professionals to Research in Seconds
• How AI Automates Its Legal Services to Assist Victims of Domestic Violence by Providing Legal Advice and Automate Risk Assessments and Documents
• Discover How Ailira Could Replace Tax Agents in Future by Answering Your Complex Tax Questions on Superannuation, Capital Gain Tax and Other Tax Issues

• How to Build a Robust KYC Processes to Harness Organization’s Front Line of Defenses
• Converting past Unstructured Data Collectively to Detect Laundering Patterns That Are Innocuous

• Roundtable A – Applying AI in Anti Money Laundering

• Roundtable B – Applying AI in Credit Risk Modelling

• Roundtable C – AI and Sentiment Analysis in Risk Management