SAS IS A LEADER
Datos Matrix: Fraud and AML Case Management
According to Datos Insights, as one of the most established brands in financial crime solutions and applied analytics, SAS scored highest among all the vendors surveyed in terms of stability. It has client retention rates of more than 90% and sales and support staff in all markets globally.
Given its pedigree in data management and analytics, it’s hardly a surprise that SAS’ case management solution would excel at leveraging powerful analytics capabilities in the pursuit not only of blurring the lines between detection and investigation but also at incorporating advanced data management, model validation and transparency and AI capabilities. Datos Insights
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웨비나
The Sector Series | Game-Changing AI Technology for Governments: Synthetic Data -
웨비나
The Sector Series | Game-Changing AI Technology for Governments: Agentic AI -
웨비나
The Sector Series | Game-Changing AI Technology for Governments: Composite AI -
웨비나
Empower Your AI Agents With Analytics and Decisioning Expertise With SAS MCP Server -
웨비나
From Insight to Action: Operationalizing AI Decision Intelligence -
웨비나
Banking on AI: The 2026 Maturity Pivot -
웨비나
Getting to Enterprise-Grade Agentic AI and Decisioning -
웨비나
Top 5 Global Fraud Trends for 2026: What Public Sector Leaders Need to Know -
웨비나
How to Supercharge Enterprise Agentic Workflows With SAS RAM -
웨비나
Top Data and AI Trends for Government in 2026 APAC Session -
웨비나
Top Data and AI Trends for Government in 2026 -
E-BOOK
Introducing the AI agents life cycle -
웨비나
The Sector Series | Game Changing AI Technology for Governments: Computer Vision -
웨비나
Digital Twins – The Next Frontier in Manufacturing -
웨비나
From Dashboard to Autopilot: How SAS Visual Analytics on SAS Viya Transforms the AI Data Journey -
E-BOOK
Decisions you can trust: A strategic guide to trustworthy data and AI decision making -
웨비나
AI Explained: Techniques and Tricks to Improve the Interpretability of Machine Learning Models -
백서
Building a foundation for innovation: Five steps to keep your AML program efficient and effective -
백서
Explainable Artificial Intelligence for Anti-Money Laundering -
E-BOOK
Making government work for everyone: A blueprint for public sector AI success -
E-BOOK
What are ready-made AI models? And why you need them. -
분석 보고서
The Forrester Wave™: Anti-Money Laundering Solutions, Q2 2025 -
E-BOOK
Data-driven health care -
백서
The road to integration -
백서
Data and AI Present Significant Opportunities for Social Benefits Systems -
백서
Revealing the paths to 2040: global insurance survey report -
E-BOOK
5 Tips for Using GenAI to Improve Customer Experience -
E-BOOK
How to govern your AI strategy in a highly regulated world -
백서
Boosting Tax Agency Productivity and Protection with AI and Generative AI -
E-BOOK
Your journey to a GenAI future: A strategic path to success in health care -
E-BOOK
Your journey to a GenAI future: A strategic path to success in life sciences and pharma -
분석 보고서
IDC MarketScape: Worldwide Machine Learning Operations Platforms, 2024 -
백서
Revealing the paths to 2040: four possible scenarios for insurance -
E-BOOK
A Comprehensive Approach to Trustworthy Data and AI Governance -
기사
What is synthetic data? And how can you use it to fuel AI breakthroughs? -
E-BOOK
Five reasons developers hit a productivity wall – and what to do about it -
E-BOOK
Your journey to a GenAI future: An insurer’s strategic path to success -
E-BOOK
Your journey to a GenAI future: A strategic path to success for government -
백서
Solving the public services productivity puzzle -
E-BOOK
Marketers and GenAI: Diving Into the Shallow End -
분석 보고서
ARC View: Industrial-grade AI: Transforming Data into Insights and Outcomes -
E-BOOK
Public service of the future -
분석 보고서
SAS is a Leader in The Forrester Wave™: AI / ML Platforms, Q3 2024 -
분석 보고서
IDC MarketScape: Worldwide Decision Intelligence 2024 -
백서
Pioneering Ethical AI: The Crucial Role of Property and Casualty Insurers -
E-BOOK
On the Road to Accelerating Claims Automation -
E-BOOK
Intelligent decisioning in government -
E-BOOK
Government navigating an uncertain world -
백서
Generative AI in Health Care: Opportunities and Cautions -
백서
How to realize value from cloud analytics faster — and with less cost and risk -
백서
Top 5 insurance problems – and AI isn’t one of them -
E-BOOK
Detect and halt risky payments across the life sciences supply chain -
고객 사례
AI helps students graduate from college -
기사
What are AI hallucinations? -
E-BOOK
The insurance data and AI revolution -
기사
What are chatbots? -
고객 사례
Jakarta Smart City uses IoT analytics to better serve residents -
기사
4 strategies that will change your approach to fraud detection -
고객 사례
고객 사례
Advanced analytics helps policymakers determine how new tax measures would affect citizens -
분석 보고서
SAS, 2023년 2분기 The Forester Wave™: AI 기반 의사결정 플랫폼 부문 리더로 선정되다 -
고객 사례
Taking the guesswork out of production planning -
고객 사례
Advanced analytics in the cloud helps international biopharmaceutical group enhance operations and efficiency -
기사
Analytics leads to lifesaving cancer therapies -
고객 사례
Just add data: How data and technology — paired with a human touch — create a sustainable and quality culinary experience -
고객 사례
Improving data collection and modeling to accelerate predictive medicine efforts -
고객 사례
Making buildings – and business – more secure with analytics and AI -
기사
Analytics: A must-have tool for leading the fight on prescription and illicit drug addiction -
고객 사례
It’s all in the research: Using AI to solve issues in health care -
고객 사례
Building reliability in risk -
기사
Detect and prevent banking application fraud -
고객 사례
Finland’s top retail bank applies AI to improve customer service and credit scoring -
고객 사례
Azure 환경에서 SAS Viya를 통해 디지털 혁신을 추구하는 그리스의 선도 금융 기업 -
고객 사례
Real-time analytics helps telecom provider adapt to changing customer needs during global pandemic and beyond -
고객 사례
Transforming steelmaking through IoT analytics -
고객 사례
Transforming the consumer banking experience through advanced analytics -
고객 사례
Predictive analytics helps save lives during COVID-19 pandemic -
고객 사례
Predictive analytics empowers bank to act quickly with confidence -
고객 사례
Complex telco product portfolio, maximum agility thanks to intelligent decisioning -
분석 보고서
SAS, 가트너 MQ ‘데이터 사이언스·머신러닝 플랫폼’ 부문 7년 연속 리더 -
고객 사례
Advanced analytics empowers businesses with data-driven decisions -
고객 사례
Travel and tourism forecasts become more accurate with analytics -
고객 사례
분석과 IoT로 홍수를 예측 및 관리하는 스마트 도시 -
기사
5 ways to measure beehive health with analytics and hive-streaming data -
고객 사례
World’s largest sports and humanitarian event builds legacy of inclusion with data-driven technology -
고객 사례
Revolutionizing marketing campaigns with AI -
기사
Three steps for conquering the last mile of analytics -
고객 사례
Manufacturing smarter, safer vehicles with analytics -
기사
As AI accelerates, focus on 'road' conditions -
기사
AI in government: The path to adoption and deployment -
고객 사례
A model of institutional research champions the value of analytics for all -
기사
From Apollo to AI: A new era of American exploration -
기사
The untapped potential in unstructured text -
웨비나
An Artificial Intelligence Framework to Combat Human Trafficking -
기사
AI in manufacturing: New opportunities for IT and operations -
기사
인공 지능의 인간미 -
고객 사례
Forecasting accuracy brings ‘new energy’ to Cameroon -
고객 사례
항공기의 중요 임무를 지원하는 AI와 IoT 분석 기술 -
E-BOOK
5 Steps to Accelerate Value From Your Industrial IoT Data -
기사
How AI and advanced analytics are impacting the financial services industry -
기사
AI in banking: Survey reveals factors for success -
고객 사례
고급 분석으로 고객 경험 개선 -
기사
Data lineage: Making artificial intelligence smarter -
기사
How to drill a better hole with analytics -
고객 사례
Advanced analytics can detect and prevent insurance fraud before losses occur -
백서
The Artificial Intelligence of Things -
고객 사례
고객 사례
IoT data with artificial intelligence reduces downtime, helps truckers keep on trucking -
기사
5가지 AI 기술 -
백서
Adopting AI: Industry Perspectives -
백서
Adopting AI: Strategic Takes on AI Adoption -
백서
Adopting AI: The Impacts of AI on Management -
백서
Adopting AI: Linchpins of AI Success - Data Scientists and Their Algorithms -
백서
AI Momentum, Maturity and Models for Success -
기사
Shut the front door on insurance application fraud! -
백서
The 3 R’s of AI Adoption: Refactor, Reinvent, Reimagine -
기사
A guide to machine learning algorithms and their applications -
백서
The Machine Learning Landscape -
백서
Data Management for Artificial Intelligence -
기사
GDPR and AI: Friends, foes or something in between? -
고객 사례
Using artificial intelligence to better engage with customers -
백서
Artificial Intelligence for Executives -
백서
Machine Learning Use Cases in Financial Crimes -
기사
Wanted: AI leaders -
기사
Machine learning and artificial intelligence in a brave new world -
백서
Machine Learning With SAS® Enterprise Miner™ -
R E S E A R C H
Nerd in the herd: protecting elephants with data science -
백서
How to Do Deep Learning With SAS® -
백서
The Risks and Rewards of AI -
백서
Machine learning and artificial intelligence in a brave new world -
기사
How to improve your AI marketing skills -
기사
Machine learning, data science and AI meet IoT -
기사
AI marketing: What does the future hold? -
기사
Fraud detection and machine learning: What you need to know -
백서
Advanced Analytics: Moving Toward AI, Machine Learning, and Natural Language Processing -
기사
Artificial intelligence, machine learning, deep learning and more -
백서
Statistics and Machine Learning at Scale -
기사
Machine learning for beginners and beyond -
백서
TDWI Navigator Report: Predictive Analytics -
백서
Redefine Your Analytics Journey With Interactive Data Exploration and Predictive Analytics -
기사
5 machine learning mistakes and how to avoid them -
백서
The Next Analytics Age: Machine Learning -
기사
Student lands dream job with help from SAS -
기사
When it matters: Safeguarding your organization from the inside -
백서
Improve Customer Experience with Actionable Artificial Intelligence -
기사
An executive’s guide to cognitive computing -
기사
Exploring the sun with big data -
기사
Stopping the Zika virus: The potential of big data, analytics -
기사
Applying machine learning to IoT data -
기사
Your personal data scientist -
고객 사례
Conservation efforts take flight with analytics -
기사
Introduction to machine learning: Five things the quants wish we knew -
고객 사례
Child support agency uses analytics to provide better options for parents -
백서
Combining Robotic Process Automation and Machine Learning -
백서
AI for the CIO: 10 Tips for Success -
E-BOOK
The Innovator's Flight Plan to AI -
백서
Data, Analytics & AI: How Trust Delivers Value -
E-BOOK
How to Take AI Projects From Start to Win -
E-BOOK
Augmented Analytics: The secret ingredient to better business intelligence -
백서
How AI Changes the Rules -
백서
AI Momentum, Maturity & Models for Success: Focus on Singapore -
백서
TDWI Checklist Report Six Best Practices to Ignite the Customer Experience with IoT -
백서
AIOT: How IoT Leaders Are Breaking Away (IDC Market Report / AIoT Survey 2019) -
E-BOOK
Accelerate and improve business outcomes with AIoT -
E-BOOK
Powering Health Innovation with AI -
백서
The Autonomous Grid in the Age of the Artificial Intelligence of Things -
E-BOOK
Fearless Decision? -
E-BOOK
Formidable Forecasts -
백서
Artificial Intelligence in Banking and Risk Management -
웨비나
Certification: AI and Machine Learning Professional Credential Overview -
웨비나
Fostering Trustworthy AI Using a Model Card -
웨비나
Composite AI Using Machine Learning in Optimization Formulations -
웨비나
Machine Learning Models in SAS Event Stream Processing -
웨비나
SAS Model Studio: Getting Started -
웨비나
AI and Machine Learning in Action Using SAS® Viya®: A Detailed Use Case -
웨비나
AI Snapshot: Three Key Developments Shaping AI Strategies Right Now -
웨비나
Breaking Down AI Capabilities for IT: What to Know About Computer Vision and GPUs -
웨비나
Breaking Down AI Capabilities for IT: What to Know About Forecasting -
웨비나
AI and Banking: Survey Reveals Success Factors -
웨비나
How the Brain of an AI/IoT System Processes Industrial Intelligence -
웨비나
Breaking Down AI Capabilities for IT: What to Know About Optimization -
웨비나
Breaking Down AI Capabilities for IT: What to Know About Machine Learning -
웨비나
Synergize Your Tech Stack to Realize AI’s Full Potential -
웨비나
How to Increase Speed to Analytics-Driven Decisions: SAS® Viya® With SingleStore -
웨비나
How can I Integrate SAS® and Open Source for Analytics and Machine Learning? -
웨비나
ModelOps: Why Data Matters – Building Efficient Foundations -
웨비나
The Three Keys to Evaluating the True Economic Value of Cloud Adoption -
웨비나
Using AI to Build a Better Insurance Industry -
웨비나
How Do I Use SAS® Model Manager? -
웨비나
Advanced Analytics: Insurers’ Fiduciary Responsibilities -
웨비나
How Can You Use Deep Learning for Personalized Pricing and Revenue Optimization? -
웨비나
Tree-Based Machine Learning Methods and Model Interpretability in SAS® Viya®: A Case Study -
웨비나
Zeroing in on property values with machine learning -
웨비나
ModelOps with SAS® Model Manager and Azure Machine Learning -
웨비나
Prime the Pump: An approach for better assessment of risk issues and unstructured data -
웨비나
How Do I Streamline AI Project Workflows? -
웨비나
SAS® Viya® and R Integration -
웨비나
How Can I Save Time and Build Trust With My Data Preparation? -
웨비나
What Are the Ways to Diagnose Infeasibility? -
웨비나
What Are the Analytical Capabilities of SAS® Visual Analytics? -
웨비나
Getting Started With SAS® Visual Text Analytics -
웨비나
Intro to Machine Learning -
웨비나
How Can I Advance My Machine Learning Applications? -
웨비나
How Can I Collaborate With My Coworkers in SAS® Viya® to Build Better Models? -
웨비나
How to Prep for the Statistics for Machine Learning Specialist Certification -
웨비나
How Can Manufacturers Optimize Process and Throughput With SAS®? -
웨비나
Getting Started With SAS® Visual Data Mining and Machine Learning -
웨비나
What Is Deep Learning? -
웨비나
Leveraging Snowflake With SAS Container Runtime + SAS Intelligent Decisioning -
웨비나
Building Data Visualization Applications Using Python and SAS -
웨비나
Easily Turn Your Automated Explanation Into a Predictive Model -
웨비나
How Do I Assess and Mitigate Models Bias With SAS Fair AI Tools? -
웨비나
How To Make Your LLM Work For You -
웨비나
Ethics in AI: Building Responsible AI Systems -
웨비나
Solving the Dilemma of Smart Things for IT Leaders -
웨비나
Generative AI: What Boards of Directors Should Consider -
웨비나
Advanced Analytics: Generative AI for the Insurance Industry -
웨비나
To Trust AI, Understand AI -
웨비나
AI in Health Care: Enhance Clinical and Operational Decision Making -
웨비나
Deploying AI -
웨비나
AI for Supporting Vaccine Adverse Event Reporting -
웨비나
Optimizing Logistics Operations Using Customized Solutions -
웨비나
Maximize the Business Value of AI With Modern Data Management -
웨비나
AI Acceleration and the Future of Innovation -
웨비나
Model Explainability -
웨비나
SAS’ Generative AI Strategy for Enterprise Transformation -
웨비나
Trustworthy AI Using SAS®: A Technical Discussion -
웨비나
How to Think About Trustworthy AI in 2024 and Beyond -
웨비나
Generative AI Meets AML: Elevating Compliance Standards in Banking -
웨비나
To Err is Human. So is AI. -
웨비나
Your Next Analytics Project: Aligning Business Needs With Time, Cost and Risk -
웨비나
Generative AI May Pose One of the Greatest Compliance Challenges for Tax Agencies. What Can Be Done? -
웨비나
Generative AI in Fraud and Financial Crimes -
웨비나
Public Comment Analysis for Federal Rulemaking Gets a Boost From NLP and Generative AI -
웨비나
Market Pulse on GenAI: How to Achieve Enterprise ROI -
웨비나
Accelerate Innovation With Responsible AI -
웨비나
Generative AI: Transforming Drug Development in Life Sciences -
웨비나
Composite AI: What It Is and Why You Should Care -
웨비나
Breaking Down AI Capabilities for IT: What to Know About NLP -
웨비나
Generative AI for Financial Services: Leveraging Large Language Models + Natural Language Processing for Problem Solving -
웨비나
AI-Embedded IoT Analytics: Getting Started -
웨비나
How Can I Process Scanned Document Images in SAS® Viya®? -
웨비나
5 Tips for Using GenAI to Improve Your Customer Experience -
웨비나
The Future of Marketing With Gen AI -
웨비나
Optimizing the Use of Marketing Technology to Build Customer Trust -
웨비나
Unlocking Greater Productivity for Data and AI Teams: Insights From the Latest Futurum Group Study -
웨비나
Getting Payback From Generative AI -
웨비나
Applied AI for Your Industry: Drive ROI With Ready-Made AI Models -
웨비나
How Ready-Made AI Models Accelerate Value From Health Care Data -
웨비나
Getting ROI From AI With Modern Data Management -
웨비나
The Smart Path Forward: Modernizing From SAS®9 to SAS® Viya® -
웨비나
The Future of AI Governance: Merging Oversight, Culture and Technology -
웨비나
Navigating the AI Era: Building Trust, Driving ROI and Scaling Innovation -
웨비나
The Sector Series | Game Changing AI Technology for Governments: An Introduction to Artificial and Generative Intelligence for Public Sector Leaders -
웨비나
Predictive Safety: Harnessing AI and Analytics for Risk Prevention -
웨비나
Feeding Accuracy: Innovate SNAP Quality Assurance Using Data and AI -
웨비나
Does Trust Matter? Bolstering Your Reputation and Increasing Value With AI. -
웨비나
The Future of AI - Why Trust and Governance Matter -
웨비나
Accelerating AI and Analytics in the Cloud: A Practical Path Forward With SAS and Microsoft -
웨비나
Agentic AI in Practice: Transforming Workflows and Employee Productivity -
웨비나
The Autonomous Bank: A Clubhouse Conversation on Agentic AI and the Future of Finance -
웨비나
The AI Advantage: How SAS Customer Intelligence 360 Solves Real Marketing Challenges -
웨비나
Turning Insight Into Impact -
웨비나
The Sector Series | Game Changing AI Technology for Governments: Machine Learning -
웨비나
Empowering Government Efficiency with SAS Managed Cloud Services on Microsoft Azure Government -
웨비나
Scam Season: Real Stories, Smarter Defenses -
웨비나
A modernization success story: How one bank’s move to the cloud sparked a culture of innovation -
웨비나
Unlocking Data Trust for AI: What Every Leader Needs to Know in 2026 -
웨비나
How Ready-Made AI Is Driving ROI in Manufacturing