Agenda

TIME AGENDA
Morning
09:00 – 12:30 WORKSHOP A: Applied Machine Learning And Deep Learning In Risk Management And Audit
 

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

Belmond Captial

  Afternoon
 
13:30 – 16:45 WORKSHOP B: Utilizing Artificial Intelligence And Machine Learning To Detect Fraud, Suspicious Transactions And Anti Money Laundering
   This workshop will give you deep insights on applying supervised and unsupervised machine learning techniques in identifying patterns to detect fraud and suspicious transaction. You will also learn how to build a system for your organization that could better predict fraud and giving you upper hand to prevent it happen. With the enhanced Fraud Detection Predictive Models, you will be able to expand the efficiency and accuracy to operationalize anti-money laundering models by following a process that is user-centric.

Markus-Kirchberg-roundedMARKUS KIRCHBERG
Head of Innovation
Jewel Paymentech

Asset 7

 

TIME AGENDA
09:00 Welcoming Speech, Opening Remarks & Thank You Sponsor Speech by Conference Producer
 
09:05 Conference Introduction and Day 1 Highlights by Chairperson
 
09:15 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
 
10:00 Developing Next Generation Risk and Fraud Management Systems with AI, Analytics and Unstructured Data
 
  • 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
carol-hargreaves-roundedCAROL HARGREAVES
Director of Data Analytics Consulting Centre
National University of Singapore
National University of Singapore
 
  Morning Refreshments & Networking Session
 
11:00 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
Andreas-Deppeler-roundedANDREAS DEPPELER
Data & Analytics Director
PwC
PwC
PATRICK-BURNS-roundedPATRICK BURNS
Head of Financial Crime Intelligence & Investigation Unit
Standard Chartered
standard chartered
Roberto-roundedROBERTO RAMIREZ PINSON
SVP, Retail Risk Regulatory Reporting Global Lead & Data Strategy Expert
CitiCiti SG
11:45  Help! My Help! My Bot Has Turned Non-Compliant And RiskyBot 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-roundedANU KUKAR
Director Risk Innovation
KPMG
KPMG
 
12:30 Project Showcase
 
   Networking Luncheon
 
13:30 Transforming Regulatory Compliance, Risk & Fraud Management and Governance Landscape with AI and Robotic Process Automation
 
  • How banks is reducing the number of fraud alerts
  • How banks 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
Roberto-roundedROBERTO RAMIREZ PINSON
SVP, Retail Risk Regulatory Reporting Global Lead & Data Strategy Expert
Citi

Citi SG

 
14:15 Applying AI and RPA in Risk Management Solution
  SAM-CAMMISS-rounded
SAM CAMMISS
Innovation Director
Deloitte

 
  Afternoon Refreshments & Networking Session
 
15:15 Allianz Insurance Case Study: How Allianz Insurance 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
Poh-Wan-Ting-roundedPOH WAN TING
Director of Data Science
Allianz SE Insurance Management Asia Pacific
allianz
 
16:00 Fireside Chat: Proactive Intelligence and Risk Mitigation for Financial Institutions
  PATRICK-BURNS-roundedPATRICK BURNS
Head of Financial Crime Intelligence & Investigation Unit
Standard Chartered
standard chartered
 
16:45 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?

Philippe-Touati-roundedPHILIPPE TOUATI
Partner
Belmond Capital

Belmond Captial

Markus-Kirchberg-roundedMARKUS KIRCHBERG
Head of Innovation
Jewel Paymentech

Asset 7

Anu-Kukar-roundedANU KUKAR
Director Risk Innovation
KPMG
KPMG
Sandeep-Bhalekar-roundedSANDEEP BHALEKAR
Technology Expert
Mulitinational Financial Institution
 
17:30 Q&A Session & Closing Remark by Conference Chairperson
 
17:45 Champagne Networking Session
  champagne Networking

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 Conference Introduction and Day 2 Highlights by Chairperson
 
09:10 Deep Learning and Fraud Detection: Real Examples of How Real Life Fraud Algorithms Works
 
  • 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
  Vishal-Singhvi-roundedVISHAL SINGHVI
APAC Ecommerce Payment & Risk Lead
Microsoft
Microsoft
09:55 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?
Bobby-roundedBOBBY THOMAS
Head of Risk Analysis
Prudential Assurance Company
prudential
Nirupam-S-Dasappa-roundedNIRUPAM S. DASAPPA
Senior Scientist, Head of IoT and Artificial Intelligence group
Energy Research Institute @ NTU

NTU

Claudio-Caballero-roundedCLAUDIO CABALLERO
Product Innovation Director
IAG Firemark Labs
Firemark

 

 
  Morning Refreshments & Networking Session
 
11:00 AI in Context: How Other Emerging Tech Affects AI Use Cases in Risk, Fraud, Compliance, etc.
 
  • 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
  Claudio-Caballero-roundedCLAUDIO CABALLERO
Product Innovation Director
IAG Firemark Labs

Firemark
11:45 How AI is Transforming Legal, Regulatory, Tax and Compliance Landscape 
 
  • 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
  Matt-Pollins_CMS-roundedMATT POLLINS
Partner
CMS Singapore
CMS Singapore

  Networking Luncheon
 
13:30 AI and Advanced Analytics in Detecting Anti Money Laundering
 
  • 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
MARTIN-MARKIEWICZ-roundedMARTIN MARKIEWICZ
CEO
Silent Eight
SILENT EIGHT
 
14:15 Applying AI in boosting security on Payments
 
  • 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
Bharat-roundedBHARAT PANCHAL
President & Head of Risk Management
National Payments Corporation of India (NPCI)
NPCI_logo
 
  Afternoon Refreshments & Networking Session
 
15:20 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 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