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文章
Anti-money laundering: What it is and why it matters -
文章
洞察頁面
Fraud Prevention: What it is and why it matters -
客戶案例
InShared moves towards an integrated omnichannel marketing approach with SAS Customer Intelligence solution -
白皮書
LDTI: Finding a solution for today and tomorrow -
白皮書
Fraudsters love digital -
白皮書
Return on Information: The New ROI -
白皮書
Data is King -
文章
What was your data doing during the financial crisis? -
電子書
Four Use Cases Show Real-World Impact of IoT -
文章
Analytics for prescription drug monitoring: How to better identify opioid abuse -
文章
5 Challenges for IoT in the insurance industry -
白皮書
The Connected Insurer -
白皮書
Effective fraud analytics: 10 steps to detect and prevent insurance fraud -
客戶案例
Turkish insurer achieves real-time fraud detection -
白皮書
Fighting Insurance Application Fraud -
文章
Shut the front door on insurance application fraud! -
客戶案例
Advanced analytics can detect and prevent insurance fraud before losses occur -
客戶案例
Improving loss ratios and profitability -
白皮書
2021 State of Insurance Fraud Technology Study -
客戶案例
A risk-based approach to combat money laundering in Israel -
Solution Brief
Insurance claims fraud -
文章
IFRS 17 and Solvency II: Insurance regulation meets insurance accounting standards -
文章
IFRS 9 and CECL: The challenges of loss accounting standards -
文章
Beyond IFRS 17 – what's next? -
客戶案例
Integrated marketing improves results for marketers and customers -
分析報告
Celent: Insurance Fraud Detection Solutions: Health Insurance, 2022 Edition -
文章
Are you covering who you think you’re covering? -
文章
Why banks need to evolve their approach to climate and ESG risk -
客戶案例
Predicting real-time insurance needs with hyperpersonalization -
客戶案例
Achieving regionwide IFRS 17 compliance for insurance reporting -
白皮書
Insurers: Are you ready for IFRS 17? -
白皮書
How to compete in the new era of customer-centric insurance -
客戶案例
French fintech modernizes its analytics approach with SAS Viya -
電子書
The insurance data and AI revolution -
分析報告
Chartis RiskTech Quadrant for Watchlist and Adverse Media Monitoring 2024 -
文章
6 ways big data analytics can improve insurance claims data processing -
分析報告
SAS is a Leader in The Forrester Wave™: Enterprise Fraud Management, Q2 2024 -
白皮書
Top 5 insurance problems – and AI isn’t one of them -
白皮書
Ready to see results from your actuarial investments? -
白皮書
Pioneering Ethical AI: The Crucial Role of Property and Casualty Insurers -
電子書
On the Road to Accelerating Claims Automation -
白皮書
Revealing the paths to 2040: four possible scenarios for insurance -
電子書
5 Tips for Using GenAI to Improve Customer Experience -
白皮書
Maintaining Customer Trust with Martech in Small and Medium-Sized Businesses -
白皮書
Revealing the paths to 2040: global insurance survey report -
Solution Brief
Ready-made AI models
