Agenda

Time Agenda
MORNING
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: 

JAMES WARD
Managing Director
Epistemology

AFTERNOON
13:00 – 13:30 Panel Discussion:  Latest Disruptive Innovations Happening in Risk Management Implication and Application with Artificial Intelligence
RIMON RONY
Chief AI Data Scientist
Local Government Association of QLD
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
RIMON RONY
Chief AI Data Scientist
Local Government Association of QLD
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
NABY MARIYAM
Founder & CEO
Coverhero
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
EVAN WONG
Co-Founder & CEO
Checkbox
15:10 – 15:30 AML: AI and Advanced Analytics in Detecting Anti Money Laundering
MARTIN MARKIEWICZ
CEO
Silent Eight
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
PHILLIMON ZONGO
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
MARKOSS MARTINA
Head of Customer Success and Enablement
The Éclair Group
10:45 – 11:00 Morning Refreshments & Networking
11:00 – 11:45 Help! My Bot Has Turned Non-Compliant And Risky
  • 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
ANU KUKAR
Director Risk Innovation
KPMG
11:45 – 12:45 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
ANU KUKAR
Director Risk Innovation
KPMG
AAMER FATTAH
Research Innovation & Development Specialist
Munich Re
12:30 – 13:30 Lunch & Networking
13:30 – 14:15 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
DR. XU GUANDONG
Associate Professor
UTS Sydney
14:15 – 15:00 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
CHRIS RATHBORNE
Director
Collision Digital
15:00 – 15:15 Afternoon Refreshment & Networking
15:15 – 16:00 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
ANTHONY SCOTT
Chief Intelligent Automation Officer (CIAO)
illion Australia and New Zealand
16:00 – 16:45 Applying AI in boosting security on Payments
  • Global payment digitalisation
  • Cybercrime / sophisticated fraud in digital world
  • Conventional methodology for fraud management vs new age technology
  • Real time fraud detection is a key and usage of ML or AI for proactive risk management
  • Ecosystem / integrated risk management
  • Collaboration / cooperation
BHARAT PANCHAL
President & Head of Risk Management
National Payments Corporation of India (NPCI)
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?
CLAIRE VINES
Principal-Head of Technology
Iexvoco
GAURAV PATNI
Director – CIO Advisory
Avanade
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 Artificial Intelligence for Fraud Detection and Risk Management
  • Case studies highlighting real-life examples where AI is used for fraud detection and risk management
  • Emerging trends in AI-related fraud risks for insurers to consider
AAMER FATTAH
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?
  • What Infrastructure You Need
  • Challenges of Forming the Team: How to Attract Talent
  • Synergy or Conflict in the Team
  • Mixing the Old and New
JAMES WARD
Managing Director
Epistemology
MARKOSS MARTINA
Head of Customer Success and Enablement
The Éclair Group
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
SAMANTHA CLARKE
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
ADRIAN CARTLAND
Principal
Cartland Law
Creator of Ailira
12:15 – 13:30 Lunch & Networking
13:30 – 14:15 How CIB Accountants & Advisers Leverage AI to Automate its Audit
  • How CIB leveraging MindBridge AI solution to Improve Quality and Efficiency of Audit
  • How AI is Used to Streamline Data Capture from Contracts by Identifying the Relevant Clauses for Accounting Treatment
  • Connecting AI to Robotic Process Automation and Chatbots in order to Enhance the Quality of Audits
RADLEE MOLLER
Managing Partner – Audit & Assurance
CIB Accountants & Advisers
14:15 – 15:00 Black Swan Risk Management – Using Causal Inference to predict and manage future catastrophic events
  • Business is really all about risk management.
  • 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 practitioners 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.
15:00 – 15:20 Afternoon Refreshment & Networking
15:20 – 16:15 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
16:15 – 17:00 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
17:00 Closing Remarks by Conference Chairman