Government Track

• 1:20 p.m.
  Opening Remarks
  
  Ensley Tan, Industry Lead for Public Sector (Asia-Pacific), SAS
  
  
• 1:25 p.m.
  Driving Innovation: Government Tech Initiatives and Emerging Trends
  To successfully drive innovation, governments need to foster collaboration between the public and private sectors, prioritize cybersecurity, and ensure that emerging technologies are implemented ethically and with a focus on inclusivity.
  
  In this session, we'll discuss the foremost government initiatives globally achieved through the strategic implementation of cutting-edge technologies that drive innovation, improve public services, and address societal challenges.
  
  Steve Bennett, Ph.D., Senior Director, Office of Public Readiness and Corporate Planning & Director, Public Sector and Financial Services Practice, SAS
  
  
• 1:50 p.m.
  Data Management & Data Governance: the backbone of privacy, AI, and data regulation
  
  In this session, we will discuss the opportunities and challenges around implementing privacy, AI and data regulation effectively. We will explore what these laws require in practice for organizations with the view to long-term and effective implementation. The session will set the scene and will provide background as well as questions for the panel discussion that will follow.
  
  Kalliopi Spyridaki, Chief Privacy Strategist, EMEA & Asia Pacific, SAS
  
  
• 2:20 p.m.
  [Panel Discussion] Navigating the Regulatory Landscape: AI Policy and Privacy Compliance in the APAC Region
  
  Navigating the regulatory landscape for AI and data privacy in the Asia-Pacific (APAC) region involves understanding the ever-evolving regulatory frameworks that countries within the region have established. While there is no one-size-fits-all approach, several common themes and trends can be identified.
  
  In this session, we'll explore diverse approaches, emerging trends, and essential best practices for navigating complex requirements in the dynamic regulatory landscape of the APAC region.
  
  Moderator: Jason Grant Allen, Director, Centre for AI and Data Governance, Singapore Management University
  Kalliopi Spyridaki, Chief Privacy Strategist, EMEA & Asia Pacific, SAS
  Veronica Tan, Director, Safer Cyberspace, Cyber Security Agency of Singapore
  Darshini Ramiah, Manager, AI Governance, Data Innovation and Protection Group, Infocomm Media Development Authority
  
  
• 3:00 p.m.
  Break
  
  
• 3:30 p.m.
  SAS Viya 4 Experience in GCC. Deploying SAS Viya with Multitenancy for Cross-Government Usage
  EDB has embarked on a journey to deploy SAS Viya 4 with Multitenancy to service Government agencies across Singapore as part of our national Innovative digital transformation strategy, addressing the challenges of optimizing data management within the GCC framework.
  
  This session showcases the strategic adoption of SAS within GCC infrastructure to facilitate efficient and collaborative governance in the digital age.
  
  David Chan, Senior Project Manager, Digital Products and Projects team, Singapore Economic Development Board (EDB)
  
  
• 3:55 p.m.
  [Panel Discussion] The Revolutionary Impact of Generative AI on Public Sector Services
  InGenerative AI has indeed revolutionized public sector service delivery by automating tasks, improving efficiency, and enhancing citizen engagement. However, like any transformative technology, the adoption of generative AI in the public sector comes with its share of challenges.
  
  In this session, we'll explore how generative AI has impacted and revolutionized public sector service delivery, along with some of the challenges faced by leaders and strategies to overcome them.
  
  Moderator: Ensley Tan, Industry Lead for Public Sector (Asia-Pacific), SAS
  Steve Bennett, Ph.D., Senior Director, Office of Public Readiness and Corporate Planning & Director, Public Sector and Financial Services Practice, SAS
  Associate Professor Daniel Ting MD PhD, Director, Artificial Intelligence Office, SingHealth
  Salman Jaffer, Program Director, Data and Analytics, Synapxe
  
  
• 4:35 p.m.
  AI-Enhanced Investigations
  Showcase of an AI assistant investigating Suspicious Transaction Reports leveraging an offline Large Language Model and SAS' industry-leading investigation management solution. See how SAS uses prompt engineering and other methods to improve the effectiveness and accuracy of investigations into unstructured text reports.
  
  

  Ensley Tan, Industry Lead for Public Sector (Asia-Pacific), SAS
  Timothy Tan, Senior Systems Engineer, SAS

• 4:55 p.m.
  Unlocking Insights: Diving into Data
  What is the lived experience of a successful data science organization? Join this fascinating session to hear how the Department of Statistics Malaysia is playing a key role in developing Malaysia's Data Science community and has been working to make the promises of Big Data a reality.
  
  Nur Aziha binti Mansor, Deputy Director of the Integration and Data Management Division, Department of Statistics Malaysia
  
  
• 5:20 p.m.
  Closing Remarks
  
  

  Ensley Tan, Industry Lead for Public Sector (Asia-Pacific), SAS
  Timothy Tan, Senior Systems Engineer, SAS

FSI - Risk Track

• 1:20 p.m.
  Scenario-based Risk Management including Climate Risk impact Simulation
  Having a Scenario-based environment to simulate Capital and the Balance Sheet measures, holistically, is nowadays a common practice and a must have. Simulate impacts coming from Climate Risk and model climate-related events on various aspects of an organization's operations, is one of the reasons why the above is now business critical, but the capability should be cross topics and consistent across the organization.
  • In this session, we'll discuss the structured way to execute scenario-based Capital and Balance Sheet . Key discussion points include:-
  • How to understand how a scenario impacts the business main drivers
  • How to ensure flexibility and consistency across risk types and financial statements
  • How does climate risk impact your business?
  • How do you convert climate risk factors into well-known risk factors?
  
  

  Anselmo Marmonti, Global Head of Risk & Finance Advisory, SAS
  

• 2:00 p.m.
  [Panel Discussion] Navigating the Future: The Critical Role of Integrated Balance Sheet Management
  Integrated Balance Sheet Management (IBSM) is a crucial component for financial institutions, providing a comprehensive approach to managing liquidity and interest risks together and optimizing the balance sheet. In this session, we'll explore why IBSM is so essential and the key challenges and benefits. Key conversation highlights include:-
  • How do banks incorporate Integrated Balance Sheet Management (IBSM) analytics in business decision-making?
  • What are the main challenges encountered by banks in implementing IBSM analytics?
  • Evolution of IBSM analytics and the importance of forward-looking scenario analysis with conditional balance sheet dynamics
    
    

  Wilson Yap, Director & Head of Risk Banking Solutions, Asia, SAS
  Kuck Shaw Pin, Head of Risk, Customer Advisory, ASEAN, SAS
  Dieu Nguyen Hoang, Director of Corporate and Institutional Banking Group, Business Finance, TechcomBank
  Kunalan Pecheadavar, Senior Vice President, Head of Group Market Risk, Alliance Bank Berhad

• 2:40 p.m.
  Break
  
  
• 3:20 p.m.
  [Panel Discussion] Future of Insurance Risk: Transforming Insurance Risk Capability to Truly Embed Risk Culture for your Business
  AI in insurance risk management empowers insurers to make data-driven decisions, enhance operational efficiency in underwriting, pricing, and claims processing, and respond more effectively to emerging risks.
  
  This session will explore how AI/ML plays a transformative role in insurance business processes and risk management, revolutionizing how insurers assess, mitigate, and manage risks.
  
  Moderator: Jeffery Li, Principal Industry Consultant, Asia Pacific, SAS
  Andrew Taylor, Senior Vice President, Head of Financial Lines, MSIG Asia
  (Underwriting, Reinsurance and Claims)
  Hao Chen, Senior Insurance Solution Advisor, APAC, SAS
  
  
• 3:55 p.m.
  Risk-based Customer Decisioning in the age of AI
  Today, modern risk management operates in a dynamic world. We observe heightened risks, accelerated digital decisioning and new technologies developing at ground-breaking speed. While generative AI is seen as a golden key with transformative potential in Risk Management and Customer Decisioning, it's important to understand its promise, peril, and practical applications in Risk Management.
  Key discussion highlights include:-
  • Real-world machine learning and generative AI applications in Risk Management.
  • Realized business value, efficiency gains, and productivity uplift.
  • How paradigms are shifting to implement an AI-driven Enterprise Customer Decisioning strategy.
  
  

  Dr Terisa Roberts, Global Solution Lead – Risk Modeling and Decisioning, SAS

• 4:30 p.m.
  Automation and optimization of Retail Credit risk policies/processes with advanced risk analytics
  Issues faced in Retail Credit management are multiple data sources, manual processes leading to operational risk, lack of real-time customer insights, sub-optimal risk reward trade-off and lack of cutting edge analytical tools for identifying issues. Legacy platforms which do not support AI/Machine learning models/tools hold us back from quantum leap in sophisticated risk management.
  
  In this session we'll cover:
  • Benefits of single data source and automation
  • Customer insight driven active risk management through use of advanced analytical skills
  • Collection optimization through automated customer segmentation and treatments
  • Data democratization for building data/analytics-driven culture
  
  

  Jagan Kanthadai, Managing Director - Head of Group PFS Risk, UOB

• 5:00 p.m.
  Closing Remarks
  
  

  Peter Lee, Regional Head of Risk Sales, ASEAN-Korea, SAS

FSI - Fraud Track

• 1:20 p.m.
  Combating Financial Crime - GenAI and Beyond
  There's a buzz around AI and GenAI – but there are also many benefits to be gained. Both have applications that can be applied in Fraud and Financial crime. We’ll discuss the benefits realized with AI and the advances of GenAI. But it isn’t all about machines; it's also about how collective intelligence brings AI, systems, humans, and data intelligence together as complementary factors to combat financial crime.
  
  

  Keith Swanson, Director, Asia Pacific/Japan, Global Fraud, Financial Crime &
  Security Intelligence Practice, SAS
  Manisha Khanna, Global Product Marketing Lead – AI and Analytics, SAS

• 1:50 p.m.
  [Fireside Chat] Closing the Floodgates - Combatting Fraud – Impacts and Implications
  Scams are a persistent issue globally.  Although, fraud has always been in focus, the losses from scams are out of control.  The industry is in a tailspin.  The media coverage has deepened.  The regulators are increasing their scrutiny to a heightened level. 
  
  Scammers are constantly evolving their tactics, taking advantage of new technologies, and exploiting vulnerabilities. For those solving the problem of scams, the success, the predominant types and impact can vary by region, customer demographic, and channel.  In this session, we'll discuss the impacts and implications of scams from a customer, financial institution, and Solution provider perspective.
  
  Ian Holmes, Global Lead for Enterprise Fraud Solutions, Director, SAS
  Beaver Chua, Head, Group, Anti-Fraud, OCBC Group
  
  
• 2:20 p.m.
  [Problem & Answer] Practical Strategies and Techniques for Combatting Scams
  Building on the earlier impacts and implications, this session will talk more about examples of specific scam issues and how SAS has worked with clients to address those challenges. We'll take a use case/case study view on how analytics/AI/ML, reference accounts, and social network analysis to identify mule accounts (both an AML and Fraud concern) can help the industry combat scams.
  
  

  Ian Holmes, Global Lead for Enterprise Fraud Solutions, Director, SAS

• 2:50 p.m.
  Break
  
  
• 3:20 p.m.
  Simplifying Onboarding and Originations across Fraud, AML, and Risk
  How do organizations move to real-time onboarding and originations? It starts with bringing data and decisions together within the customer lifecycle. In this session, we'll discuss and show how technology is helping financial institutions make better and faster decisions and how customers demand the promise of digital immediacy.
  
  

  Keith Swanson, Director, Asia Pacific/Japan, Global Fraud, Financial Crime &
  Security Intelligence Practice, SAS
  
  

• 3:50 p.m.
  [Problem & Answer] Making Customer Engagement simpler, immediate and efficient
  We'll use a case study to illustrate how data and decisioning are simplifying onboarding and origination activities like customer screening, application fraud, credit risk decisioning, and customer risk assessment. We'll dive into the customer experience, technology execution, and operational impact in driving immediate results for customers. What does this mean for organizations today, and where could they be?
  
  

  Siva Ramakrishnan, Sr Business Solutions Manager, SAS
  Lina Tong, Fraud & Security Intelligence Practice, Customer Advisory, ASEAN, SAS
  
  

• 4:20 p.m.
  How to Address the Complexity of Sanctions in 2024
  A pragmatic view on the new technology supporting better detection. We'll explore the main challenges and trends while sharing practical insights on how new technologies revolutionize detection.
  
  

  Ahmed Drissi, APAC AML Lead, SAS

• 4:50 p.m.
  Recap – Lessons Learned, Future Views
  
  Lina Tong, Fraud & Security Intelligence Practice, Customer Advisory, ASEAN, SAS
  

Technology Track

• 1:20 p.m.
  Opening Remarks
  
  Luca Spinelli, Director of Business Transformation, Emerging Markets EMEA, ASEAN & Korea, SAS
  
  
• 1:25 p.m.
  [Fireside Chat] The Business Case for Viya - Lessons Learnt and Innovations
  Join us in conversation with our guest speaker from Standard Chartered Bank, where he will share the lessons learnt, innovations and experience with the SAS team on their recent SAS Viya journey. Key sharing will include:-
  
  • SAS Viya Business Case: Why did you select SAS Viya modernization?
  • Lessons Learnt during modernization and SAS Viya implementation?
  • Innovations where the bank pushes SAS Viya to solve further technology and business issues?
  • Experience working with the SAS team from inception to implementation?
  
  

  Moderator: Namit Khanna, Global Accounts Director, Financial Services, SAS
  Vivek Chari, ED, Head of Data and Analytics, Wealth and Retail Banking, Standard Chartered

• 1:55 p.m.
  Empowering Teams: Elevating Productivity, Performance, and Trust with SAS Viya
  In this overview, you'll hear more about SAS' technology vision for the future and our roadmap for delivering new capabilities, products, and solutions. We'll introduce you to some of our latest Generative AI advancements. Join us on a unique journey with a diverse team as they tackle real-world challenges using SAS's cutting-edge solutions.
  
  

  Jason Loh, Head of Technology Futures, Global Technology Practice, SAS
  Syed Ismail, Head of Customer Advisory, Singapore, SAS
  

• 2:05 p.m.
  The SAS Developer Experience
  SAS is helping developers "get more done", deliver more value, and work more efficiently. See how SAS is delivering unique capabilities to boost productivity and provide developers with the choices they require.
  
  Experience a true Pythonic environment optimized for performance, complete with streamlined packages. Discover how we solve missing data with Synthetic Data Generation, publish your models into the SAS Viya Enterprise ecosystem, blending the best of open source and SAS's robust capabilities.
  
  Unveil SAS CodeGen to rapidly produce and document SAS code, provide explanations, and achieve higher productivity through a streamlined programming experience.
  
  Yi Jian Ching, Senior Solutions Architect, Global Technology Practice, SAS
  Karthik Gangula, Intern, SAS

• 3:00 p.m.
  Break

• 3:30 p.m.
  Enhancing AI Productivity and Decision-Making with SAS Viya
  Optimize AI model lifecycles and transform data into strategic decisions using SAS Viya. Learn to enhance teamwork, streamline workflows, and deploy models into real-time production environments with SAS ModelOps.
  
  Discover the power of integrating with Large Language Models through SAS Information Catalogue and SAS Studio Flow, enriching data and improving the analytics lifecycle, while protecting PII with SAS Data Maker. Additionally, manage real-time campaigns effectively with SAS Intelligent Decisioning, utilizing advanced business rules and models for dynamic offers.
  
  SAS solutions facilitate seamless model updates and scalability, supported by deep insights into customer behavior and campaign performance from SAS Visual Analytics.
  
  Pei Sin Khoo, Solutions Architect, Global Technology Practice, SAS
  Xin Ru Lee, Data Scientist, AI & Analytics, Global Technology Practice, SAS

• 4:25 p.m.
  Models as a Product Introduction
  SAS models have been providing value for organizations for decades. Data Scientists have built and deployed models in SAS, and while this remains an approach many embrace, SAS will be offering models as a product. Learn about this new market offering.
  
  Jason Loh, Head of Technology Futures, Global Technology Practice, SAS
  
  
• 4:40 p.m.
  Speed and Performance Advantages of SAS
  Performance has always been at the core of SAS products and solutions and is a continued focus for SAS R&D. See how SAS delivers the most performant software in the market.
  
  Abhilash P A, Principal Solution Architect, Global Technology Practice, SAS
  
  
• 5:10 p.m.
  Where do we go from here?
  Join us as we conclude our journey through the advancements in AI and Data Technology, reflecting on the day's insights and looking forward to the innovative solutions SAS brings to the forefront of business and technology.
  
  Syed Ismail, Head of Customer Advisory, Singapore, SAS