Time Agenda
09:00 – 12:30 Applying AI in Risk Management and Audit Workshop

Bayesian methods have long been known as a powerful weapon in the fight to manage risks of all kinds. Nevertheless, these methods have long remained a niche tool, used only by a handful of sophisticated practitioner in the field.

New developments in Artificial Intelligence and IOT have rejuvenated these methods, and have brought them to the fore as a leading method of modelling and modelling complex systemic risk – including the difficult task of extrapolating from today’s data to identify future black swan risk events.

Come and learn the basics of the Bayesian approach and see how a new generation of AI tools makes Bayes easier and more powerful to work with than ever before.

james-ward-112x128 Workshop Leader: 

Managing Director

13:00 – 13:30 Panel Discussion:  Latest Disruptive Innovations Happening in Risk Management Implication and Application with Artificial Intelligence
13:30 – 16:45 Advanced Risktech, Fintech, Insurtech and Regtech Innovation Showcase
13:30 – 13:50 Risk Innovation: How AI and Advanced Analytics Are Improving Risk Modeling
13:50 – 14:10 FinTech Innovation: Using Blockchain to Prevent Fraud 
14:10 – 14:30 InsurTech Innovation: How Insurers Are Advancing Underwriting and Claims with AI and Analytics with Reducing Frauds
14:30 – 14:50 Fraud Technology Innovation: Detecting Fraud with Better AI and Advanced Analytics
14:50 – 15:10 RegTech Innovation: Helping Companies Address Regulatory Compliance in Financial Sector with Technology-Driven Automation
15:10 – 15:30 AML: AI and Advanced Analytics in Detecting Anti Money Laundering
15:30 – 15:45 Networking and Refreshments
15:45 – 16:45 Concurrent Roundtable Discussion: Application and Implication of Disruptive Digital Finance in Risk Management, Fraud Detection and Audit
A) RiskTech Roundtable

B) InsurTech Roundtable

C) Fintech Roundtable

D) RegTech Roundtable

E) Fraud/AML and Roundtable


Time Agenda
09:00 – 09:05 Welcoming Speech, Opening Remarks & Thank You Sponsor Speech by Conference Producer
09:05 – 09:15 Conference Introduction and Day 1 Highlights by Chairperson
09:15 – 10:00 Why Artificial Intelligence is a Game Changer in Risk Management, Audit, Fraud and Compliance
  • AI’s Bigger Ability in Handling and Evaluating Unstructured vs Structured Data
  • How Machine Learning Can Improve Risk Segmentation, Evaluation and Detection
  • Ability of AI to Use Advanced Algorithms to Analyze Text in order to Derive Insights and Social Media Sentiment from Unstructured Data

Head of Cyber Security & IT Risk
Crestone Wealth Management

10:00 – 10:45 Developing Next Generation Risk and Fraud Management Systems with AI, Analytics and Unstructured Data
  • How to Embed Deep Learning 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

Ex-General Manager Process Automation (Robotics & Cognitive Automation)
National Australia Bank

10:45 – 11:00 Morning Refreshments & Networking
11:00 – 11:45 Chief Risk Officers Panel: How AI, Machine Learning and Advanced Analytics Are Transforming Risk Modeling, Fraud and Claims
  • 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

Research Innovation & Development Specialist
Munich Re

11:45 – 12:30 Transforming Regulatory Compliance, Risk & Fraud Management and Governance Landscape with AI and Robotic Process Automation
  • How Organization lead Its Customer Assurance with Their Enhanced AI-Driven Fraud Monitoring Technology
  • How Organization can Segment Their Large Sets of “Noisy” Data and Alert Management for Better Risk Management
  • Integration of Blockchain, Smart Contracts and IoT in Detecting Risk of Legal Regulation Breach and Reduce Compliance Cost

General Manager – Robotics, Automation & Transformation

12:30 – 12:45 Project Showcase
12:45 – 13:30 Lunch & Networking
13:30 – 14:15 Mastercard Case Study: How MasterCard is Using AI to Improve the Accuracy of its Fraud Protection
  • How Mastercard Leverages on Real Time Approvals to Increase Its Accuracy of Genuine Transaction Detection and Reduce False Declines
  • How Mastercard’s Decision Intelligence Guarantee Fraud Reduction for Its Merchants
  • Challenges in Development and Education of Its Machine Learning Program
  • Benchmarking ROI from Mastercard’s Decision Intelligence Deployment
14:15 – 15:00 KPMG Case Study: Why KPMG is Leveraging AI to Automate its Audits
  • How AI is Used to Improve Quality and Efficiency of Audit for KPMG
  • How AI is Used to Streamline Data Capture from Contracts by Identifying the Relevant Clauses for Accounting Treatment
  • How KPMG is Connecting AI to Robotic Process Automation and Chatbots in order to Enhance the Quality of Audits
15:00 – 15:15 Afternoon Refreshment & Networking
15:15 – 16:00 ANZ Case Study: How ANZ is Utilizing Big Data, Predictive Analytics and Machine Learning to Improve Underwriting, Loss & Claims
  • 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
16:00 – 16:45 AI integration into insurance purchasing (risk assessment and pricing) and claims processes
  • How AI Identify Complex or Severe Claims Instantly Through Rules-Based Processes
  • How AI Can Advise Adjusters with Best Action Plan in Reaction to Complex Claims
  • Generating Context of Predictions and Enhance Your AI Solutions Through Continuous Feedback

Collision Digital

16:45 – 17:30 Chief Technology Officer Panel: Lessons Learnt From Artificial Intelligence Implementation
  • Reviewing Challenges and Lessons Learnt from Existing AI Projects
  • How Can We Accelerate AI Implementation in a Sustainable Manner?

Principal-Head of Technology

17:30 – 17:45 Q&A Session & Closing Remark by Conference Chairperson
17:45 Champagne Networking Session
Enjoy a glass of champagne whilst networking with other like-minded individuals on topics that are of most interest to you and fellow delegates.
Time Agenda
09:00 – 09:10 Conference Introduction and Day 2 Highlights by Chairperson
09:10 – 09:55 Deep Learning and Fraud Detection: Real Examples of How Real Life Fraud Algorithms Works
  • Key Drivers for Danske Bank’s AI Deployment in Their Fraud Detection System and Setting a Benchmark to Other Enterprise
  • How Danske Bank Achieved a Low 40 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

Research Innovation & Development Specialist
Munich Re

09:55 – 10:40 Head of Artificial Intelligence Panel: Understanding the Limitations of Machine Learning in Risk Management, Detecting Fraud, Underwriting and Claims
  • 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?

Managing Director

10:40 – 11:00 Morning Refreshments & Networking
11:00 – 11:45 RegTech: How AI is Transforming Legal, Regulatory, Tax  and Compliance Landscape
  • Collaborating with RegTech in Redefining a Simpler Compliance with Financial Crime Controls, Efficient Adherence to Conduct Rules and Basel III Reporting Requirements
  • How RegTech Could Use AI to Help Enterprises Achieve Better Compliance and Regulatory Risk Detection, Assess Risk Exposure and Anticipate Future Threats
  • Applying AI to Facilitate Due Diligence and KYC Procedures
  • Counterparty AML and Anti-Fraud Screening & Detection Process

Co-Founder and Director
Advice RegTech

11:45 – 12:15 Ailira (Artificially Intelligent Legal Information Research Assistant) Case Study: How AI is Changing the Practice of Tax and Legal Advisory
  • How Ailira Uses Natural Language Processing (NLP) to Help Law and Tax Professionals to Research in Seconds
  • How Ailira 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

Cartland Law
Creator of Ailira

12:15 – 13:30 Lunch & Networking
13:30 – 14:15 AI Meets Anti-Money Laundering: How AUSTRAC’s AI and Analytics Can Improve Money Laundering Detection
  • How AUSTRAC Reduced Millions of Transactions to About 750,000 for Further Investigation on Suspicious Money Laundering Case
  • Converting past Unstructured Data Collectively to Detect Laundering Patterns That Are Innocuous
14:15 – 15:00 Paypal AI Case Study: How Paypal is Boosting its Security with AI
  • How PayPal Is Using AI to Keep up with Threats and Reduce Its Fraud Rate to 24% Lower than Average Merchants
  • Leveraging AI’s Ability to Detect and Address Threats Before They Hit PayPal’s Site Operations
  • Real-Time Analysis of Customers’ Transactions to Detect and Mitigate Fraud and Theft
  • What Potential Capacity PayPal See in AI Security Application
15:00 – 15:20 Afternoon Refreshment & Networking
15:20 – 16:15 AI Case Study Roundtable:
  • Sharing on Different Industries’ AI Deployment on Boosting Their Risk Management and Fraud Prevention Function
  • Achievements and Benefits That Are Derived from AI Deployment
  • Challenges and Implications
16:15 – 17:00 CTO Panel: How to Assemble the Right Infrastructure, Systems and People You Need to Build Your Next Generation Risk and Fraud Management System
  • What Infrastructure You Need
  • Challenges of Forming the Team: How to Attract Talent
  • Synergy or Conflict in the Team
  • Mixing the Old and New
17:00 Closing Remarks by Conference Chairman