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- 其他 – 第三方合作夥伴 白皮書 Trustworthy AI in Law Enforcement: Expert Perspectives on What Works
- 網路研討會 Why procurement risks are rising — and how proven payment integrity ROI shows that action can’t wait
- 客戶案例 Intelligent, real-time fraud decisions in 50 milliseconds
- 新聞稿 Per industry analysts, SAS again a leader in AI, risk and fraud
- 新聞稿 ‘An imperative, not a magic pill’: Study finds insurers looking to build trust, value in AI
- 網路研討會 The Sector Series | Game Changing AI Technology for Governments: Computer Vision
- 新聞稿 富采攜手 SAS 打造半導體業首屈一指的端到端 AI 智慧製造典範
- 新聞稿 Government AI predictions for 2026?? Good luck...
- 新聞稿 從行銷接力賽到智慧自動化:HAPPY GO 攜手 SAS 大幅加速活動節奏、強化即時個人化體驗
- 新聞稿 Looming SNAP budget crisis demands SAS Payment Integrity for Food Assistance to reduce error rates
- 新聞稿 SAS 推出全新 Retrieval Agent Manager (RAM) 加速生成式與代理型 AI 應用
- 分析報告 Datos Matrix: Fraud and AML Case Management, 2025
- 電子書 The strategic bank playbook: Transforming insights into impact
- Solution Brief Ensure supplier integrity with continuous monitoring
- 白皮書 Building a foundation for innovation: Five steps to keep your AML program efficient and effective
- 白皮書 Explainable Artificial Intelligence for Anti-Money Laundering
- 白皮書 How AI and Machine Learning Are Redefining Anti-Money Laundering
- 分析報告 The Forrester Wave™: Anti-Money Laundering Solutions, Q2 2025
- 新聞稿 Analysts name SAS a leader in risk, fraud, AI and analytics
- Solution Brief Medicaid and Medicare Fraud
- Solution Brief Real-Time Watchlist Screening
- 分析報告 Chartis RiskTech Quadrant for AML Transaction Monitoring Solutions, 2024
- 電子書 Public procurement integrity at risk
- Solution Brief Health outcomes
- 電子書 5 Steps to a Unified Enterprise Customer Decisioning Strategy
- 電子書 Your journey to a GenAI future: A strategic path to success in banking
- Solution Brief Anti-money laundering
- Solution Brief Financial crimes analytics
- Solution Brief Manage payment fraud risk without impacting the customer experience
- Solution Brief Detect and prevent application and identity fraud in real time across the customer journey
- 白皮書 Generative AI in Health Care: Opportunities and Cautions
- 分析報告 The Forrester Wave™: Enterprise Fraud Management, Q2 2024
- 文章 6 ways big data analytics can improve insurance claims data processing
- 電子書 Seven trends shaping the future of tax
- 分析報告 Chartis RiskTech Quadrant for Watchlist and Adverse Media Monitoring, 2024
- 電子書 Danger in the digital realm: Protecting children from predators
- 白皮書 Anti-Fraud Technology
- 客戶案例 European Banking-as-a-Service leader strengthens its AML/CFT and fraud surveillance system with SAS
- 白皮書 Enforcing Tax Compliance in a Turbulent World
- 文章 4 strategies that will change your approach to fraud detection
- 客戶案例 Combating financial crime and terrorism financing with real-time sanctions screening
- 白皮書 Proactive anti-financial crime strategies to improve compliance and reduce risk
- 客戶案例 Stopping payment fraud in real time
- 客戶案例 Identity management is key to preventing credit fraud
- 客戶案例 Making connections through high-quality data to enhance public safety
- 文章 Know your blind spots in tax fraud prevention
- 文章 Are you covering who you think you’re covering?
- 客戶案例 Advanced analytics and machine learning help Poste Italiane identify and stop fraud in real time while enhancing customer experience
- 電子書 Innovate, protect and serve
- 文章 Containing health care costs: Analytics paves the way to payment integrity
- 白皮書 Procurement integrity powered by continuous monitoring
- 客戶案例 Enhancing road safety with advanced analytics
- 客戶案例 Ensuring public transparency and one-stop access to crime data and analysis
- 客戶案例 Making prisons and communities safer with data visualization
- 文章 Analytics: A must-have tool for leading the fight on prescription and illicit drug addiction
- 文章 Top prepaid card fraud scams
- 文章 Detect and prevent banking application fraud
- 文章 Strengthen your payment fraud defenses with stronger authentication
- 客戶案例 Preventing payment card fraud one transaction at a time
- 電子書 The Future of Energy & Utilities: Transform Through Innovation
- 文章 Payment fraud evolves fast – can we stay ahead?
- 文章 Unemployment fraud meets analytics: Battle lines are clearly drawn
- 客戶案例 Fighting financial crime through a global anti-money laundering platform
- 客戶案例 Recovering millions of dollars in fraudulent insurance claims via advanced analytics
- 文章 Online payment fraud stops here
- 文章 Continuous monitoring: Stop procurement fraud, waste and abuse now
- Solution Brief Insurance claims fraud
- 客戶案例 Brazil tackles insurance fraud with AI and analytics
- 文章 Managing fraud risk: 10 trends you need to watch
- 客戶案例 泰國銀行在即時管理詐欺偵測的同時也保護客戶
- 客戶案例 A risk-based approach to combat money laundering in Israel
- 白皮書 AI Is at the Forefront of Reducing Money Laundering and Combating the Financing of Terrorism
- 文章 How AI and advanced analytics are impacting the financial services industry
- 客戶案例 Advanced analytics can detect and prevent insurance fraud before losses occur
- 文章 The best gift you can give to thieves this holiday season? Your identity.
- 文章 Applying technology to ensure voter integrity in elections
- 文章 Shut the front door on insurance application fraud!
- 客戶案例 Preventing crime and ensuring compliance at 120 Nordic banks
- 文章 Medicaid and benefit fraud in 2018 and beyond
- 白皮書 Using Modern Analytics to Save Government Programs Millions
- 白皮書 Machine Learning Use Cases in Financial Crimes
- 客戶案例 Turkish insurer achieves real-time fraud detection
- 文章 疫情期間網路交易大增,全面防護金融詐欺犯罪
- 白皮書 Managing the Intelligence Life Cycle
- 文章 How to prevent procurement fraud
- 文章 Improve child welfare through analytics
- 客戶案例 洗錢防制
- 文章 Fraud detection and machine learning: What you need to know
- 文章 Uncover hidden financial crime risk
- 文章 Proactive detection – A new approach to counter terror
- 文章 Health care cost containment through big data analytics
- 文章 Stop contract and procurement fraud
- 白皮書 Achieving program integrity for health care cost containment
- 白皮書 Protect the Integrity of the Procurement Function
- 文章 5 steps to sustainable GDPR compliance
- 文章 Detecting health care claims fraud