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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ウェビナー
The Sector Series | Game-Changing AI Technology for Governments: Synthetic Data -
ウェビナー
The Sector Series | Game-Changing AI Technology for Governments: Agentic AI -
ウェビナー
SAS® Clinical Acceleration -
ウェビナー
SNAP and AI -
ウェビナー
AI Governance Trends: The Top Market Forces Shaping What’s Next -
ウェビナー
The Sector Series | Game-Changing AI Technology for Governments: Composite AI -
ウェビナー
Empower Your AI Agents With Analytics and Decisioning Expertise With SAS MCP Server -
ウェビナー
From Insight to Action: Operationalizing AI Decision Intelligence -
ウェビナー
Top Data and AI Trends for Government in 2026 APAC Session -
ウェビナー
Top Data and AI Trends for Government in 2026 -
e-Book
Introducing the AI agents life cycle -
ウェビナー
The Sector Series | Game Changing AI Technology for Governments: Computer Vision -
ウェビナー
Digital Twins – The Next Frontier in Manufacturing -
ウェビナー
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 -
ウェビナー
AI Explained: Techniques and Tricks to Improve the Interpretability of Machine Learning Models -
ホワイトペーパー
Building a foundation for innovation: Five steps to keep your AML program efficient and effective -
ホワイトペーパー
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. -
〓分析◆アナリスト・〓レポート
The Forrester Wave™: Anti-Money Laundering Solutions, Q2 2025 -
e-Book
Data-driven health care -
ホワイトペーパー
The road to integration -
ホワイトペーパー
Data and AI Present Significant Opportunities for Social Benefits Systems -
ホワイトペーパー
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 -
ホワイトペーパー
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 -
〓分析◆アナリスト・〓レポート
IDC MarketScape: Worldwide Machine Learning Operations Platforms, 2024 -
ホワイトペーパー
Revealing the paths to 2040: four possible scenarios for insurance -
e-Book
A Comprehensive Approach to Trustworthy Data and AI Governance -
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 -
ホワイトペーパー
Solving the public services productivity puzzle -
e-Book
Marketers and GenAI: Diving Into the Shallow End -
〓分析◆アナリスト・〓レポート
ARC View: Industrial-grade AI: Transforming Data into Insights and Outcomes -
e-Book
Public service of the future -
〓分析◆アナリスト・〓レポート
SAS is a Leader in The Forrester Wave™: AI / ML Platforms, Q3 2024 -
〓分析◆アナリスト・〓レポート
IDC MarketScape: Worldwide Decision Intelligence 2024 -
ホワイトペーパー
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 -
ホワイトペーパー
Generative AI in Health Care: Opportunities and Cautions -
ホワイトペーパー
How to realize value from cloud analytics faster — and with less cost and risk -
ホワイトペーパー
Top 5 insurance problems – and AI isn’t one of them -
e-Book
Detect and halt risky payments across the life sciences supply chain -
e-Book
The insurance data and AI revolution -
ユーザー事例
高度なアナリティクス、新しい税制措置の市民への影響を判断する政策立案者の取り組みに貢献 -
〓分析◆アナリスト・〓レポート
SASは、The Forrester Wave™: AI Decisioning Platforms、2023年第2四半期のリーダーと評価 -
ユーザー事例
データを追加するだけ： データとテクノロジーは ── 人間味との組み合わせにより ── サステイナブルで質の高い料理体験をどのように生み出すのか？ -
ユーザー事例
データ収集とモデリングの改善により、予測医学の取り組みを加速 -
記事
SASでデジタルトランスフォーメーションを加速し、迅速な意思決定を実現 -
記事
非構造化テキストに潜んでいる未利用のポテンシャル -
記事
チャットボットとは？ -
ユーザー事例
クラウドベースのアナリティクスとAIで顧客エンゲージメントを強化 -
ユーザー事例
フィンランド最大手のリテール銀行、顧客サービスとクレジット・スコアリングを改善するためにAIを適用 -
〓分析◆アナリスト・〓レポート
Gartner positions SAS as a Leader in the Magic Quadrant for Data Science and Machine Learning Platforms, Q1 2021 -
ユーザー事例
Smart city uses analytics and IoT to predict and manage flood events -
ユーザー事例
AIでマーケティング・キャンペーンを革命 -
記事
大和証券の成約率を2.7倍にしたAI×マーケティング -
ウェビナー
An Artificial Intelligence Framework to Combat Human Trafficking -
ユーザー事例
人工知能（AI）とIoTアナリティクス、重要なミッションを担う航空機の運行維持に貢献 -
e-Book
5 Steps to Accelerate Value From Your Industrial IoT Data -
ユーザー事例
Finding your best customers with machine learning -
ホワイトペーパー
The Artificial Intelligence of Things -
ユーザー事例
IoTデータと人工知能（AI）の融合が稼働停止時間を削減し、追跡管理の向上にも効果を発揮 -
記事
5大AIテクノロジー -
ホワイトペーパー
Adopting AI: Industry Perspectives -
ホワイトペーパー
Adopting AI: Strategic Takes on AI Adoption -
ホワイトペーパー
Adopting AI: The Impacts of AI on Management -
ホワイトペーパー
Adopting AI: Linchpins of AI Success - Data Scientists and Their Algorithms -
ホワイトペーパー
AI Momentum, Maturity and Models for Success -
ホワイトペーパー
The 3 R’s of AI Adoption: Refactor, Reinvent, Reimagine -
ホワイトペーパー
The Machine Learning Landscape -
ホワイトペーパー
Data Management for Artificial Intelligence -
ホワイトペーパー
Artificial Intelligence for Executives -
記事
オープンなAIプラットフォーム - SAS Viya -
記事
Digital Transformation in SMB -
ホワイトペーパー
Machine Learning Use Cases in Financial Crimes -
記事
すばらしい新世界における機械学習と人工知能 -
ホワイトペーパー
Machine Learning With SAS® Enterprise Miner™ -
ホワイトペーパー
How to Do Deep Learning With SAS® -
ホワイトペーパー
The Risks and Rewards of AI -
ホワイトペーパー
Machine learning and artificial intelligence in a brave new world -
記事
AIマーケティング： どのような未来を秘めているのか？ -
ブログ記事
機械学習アルゴリズム選択ガイド -
ブログ記事
人工知能：ブームと現実を切り分けて認識するために -
ホワイトペーパー
Advanced Analytics: Moving Toward AI, Machine Learning, and Natural Language Processing -
ホワイトペーパー
Statistics and Machine Learning at Scale -
ブログ記事
機械学習のパラメータをオートチューニング -
ホワイトペーパー
TDWI Navigator Report: Predictive Analytics -
ホワイトペーパー
Redefine Your Analytics Journey With Interactive Data Exploration and Predictive Analytics -
ホワイトペーパー
The Next Analytics Age: Machine Learning -
ホワイトペーパー
Improve Customer Experience with Actionable Artificial Intelligence -
記事
ジカウイルスの阻止： ビッグデータとアナリティクスの可能性 -
記事
IoTデータへの機械学習の適用 -
記事
パーソナル・データ・サイエンティストの可能性について -
記事
機械学習入門：よくある5つの誤解（英語） -
ホワイトペーパー
Combining Robotic Process Automation and Machine Learning -
ホワイトペーパー
AI for the CIO: 10 Tips for Success -
e-Book
The Innovator's Flight Plan to AI -
ホワイトペーパー
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 -
ホワイトペーパー
How AI Changes the Rules -
ホワイトペーパー
AI Momentum, Maturity & Models for Success: Focus on Singapore -
ホワイトペーパー
TDWI Checklist Report Six Best Practices to Ignite the Customer Experience with IoT -
ホワイトペーパー
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 -
ホワイトペーパー
The Autonomous Grid in the Age of the Artificial Intelligence of Things -
e-Book
Fearless Decision? -
e-Book
Formidable Forecasts -
ホワイトペーパー
Artificial Intelligence in Banking and Risk Management -
ウェビナー
Certification: AI and Machine Learning Professional Credential Overview -
ウェビナー
Fostering Trustworthy AI Using a Model Card -
ウェビナー
Composite AI Using Machine Learning in Optimization Formulations -
ウェビナー
Machine Learning Models in SAS Event Stream Processing -
ウェビナー
SAS Model Studio: Getting Started -
ウェビナー
AI and Machine Learning in Action Using SAS® Viya®: A Detailed Use Case -
ウェビナー
AI Snapshot: Three Key Developments Shaping AI Strategies Right Now -
ウェビナー
Breaking Down AI Capabilities for IT: What to Know About Computer Vision and GPUs -
ウェビナー
Breaking Down AI Capabilities for IT: What to Know About Forecasting -
ウェビナー
AI and Banking: Survey Reveals Success Factors -
ウェビナー
How the Brain of an AI/IoT System Processes Industrial Intelligence -
ウェビナー
Breaking Down AI Capabilities for IT: What to Know About Optimization -
ウェビナー
Breaking Down AI Capabilities for IT: What to Know About Machine Learning -
ウェビナー
Synergize Your Tech Stack to Realize AI’s Full Potential -
ウェビナー
How to Increase Speed to Analytics-Driven Decisions: SAS® Viya® With SingleStore -
ウェビナー
How can I Integrate SAS® and Open Source for Analytics and Machine Learning? -
ウェビナー
ModelOps: Why Data Matters – Building Efficient Foundations -
ウェビナー
The Three Keys to Evaluating the True Economic Value of Cloud Adoption -
ウェビナー
Using AI to Build a Better Insurance Industry -
ウェビナー
How Do I Use SAS® Model Manager? -
ウェビナー
Advanced Analytics: Insurers’ Fiduciary Responsibilities -
ウェビナー
How Can You Use Deep Learning for Personalized Pricing and Revenue Optimization? -
ウェビナー
Tree-Based Machine Learning Methods and Model Interpretability in SAS® Viya®: A Case Study -
ウェビナー
Zeroing in on property values with machine learning -
ウェビナー
ModelOps with SAS® Model Manager and Azure Machine Learning -
ウェビナー
Prime the Pump: An approach for better assessment of risk issues and unstructured data -
ウェビナー
How Do I Streamline AI Project Workflows? -
ウェビナー
SAS® Viya® and R Integration -
ウェビナー
How Can I Save Time and Build Trust With My Data Preparation? -
ウェビナー
What Are the Ways to Diagnose Infeasibility? -
ウェビナー
What Are the Analytical Capabilities of SAS® Visual Analytics? -
ウェビナー
Getting Started With SAS® Visual Text Analytics -
ウェビナー
Intro to Machine Learning -
ウェビナー
How Can I Advance My Machine Learning Applications? -
ウェビナー
How Can I Collaborate With My Coworkers in SAS® Viya® to Build Better Models? -
ウェビナー
How to Prep for the Statistics for Machine Learning Specialist Certification -
ウェビナー
How Can Manufacturers Optimize Process and Throughput With SAS®? -
ウェビナー
Getting Started With SAS® Visual Data Mining and Machine Learning -
ウェビナー
What Is Deep Learning? -
ウェビナー
Leveraging Snowflake With SAS Container Runtime + SAS Intelligent Decisioning -
ウェビナー
Building Data Visualization Applications Using Python and SAS -
ウェビナー
Easily Turn Your Automated Explanation Into a Predictive Model -
ウェビナー
How Do I Assess and Mitigate Models Bias With SAS Fair AI Tools? -
ウェビナー
How To Make Your LLM Work For You -
ウェビナー
Ethics in AI: Building Responsible AI Systems -
ウェビナー
Solving the Dilemma of Smart Things for IT Leaders -
ウェビナー
Generative AI: What Boards of Directors Should Consider -
ウェビナー
Advanced Analytics: Generative AI for the Insurance Industry -
ウェビナー
To Trust AI, Understand AI -
ウェビナー
AI in Health Care: Enhance Clinical and Operational Decision Making -
ウェビナー
Deploying AI -
ウェビナー
AI for Supporting Vaccine Adverse Event Reporting -
ウェビナー
Optimizing Logistics Operations Using Customized Solutions -
ウェビナー
Maximize the Business Value of AI With Modern Data Management -
ウェビナー
AI Acceleration and the Future of Innovation -
ウェビナー
Model Explainability -
ウェビナー
SAS’ Generative AI Strategy for Enterprise Transformation -
ウェビナー
Trustworthy AI Using SAS®: A Technical Discussion -
ウェビナー
How to Think About Trustworthy AI in 2024 and Beyond -
ウェビナー
Generative AI Meets AML: Elevating Compliance Standards in Banking -
ウェビナー
To Err is Human. So is AI. -
ウェビナー
Your Next Analytics Project: Aligning Business Needs With Time, Cost and Risk -
ウェビナー
Generative AI May Pose One of the Greatest Compliance Challenges for Tax Agencies. What Can Be Done? -
ウェビナー
Generative AI in Fraud and Financial Crimes -
ウェビナー
Public Comment Analysis for Federal Rulemaking Gets a Boost From NLP and Generative AI -
ウェビナー
Market Pulse on GenAI: How to Achieve Enterprise ROI -
ウェビナー
Accelerate Innovation With Responsible AI -
ウェビナー
Generative AI: Transforming Drug Development in Life Sciences -
ウェビナー
Composite AI: What It Is and Why You Should Care -
ウェビナー
Breaking Down AI Capabilities for IT: What to Know About NLP -
ウェビナー
Generative AI for Financial Services: Leveraging Large Language Models + Natural Language Processing for Problem Solving -
ウェビナー
AI-Embedded IoT Analytics: Getting Started -
ウェビナー
How Can I Process Scanned Document Images in SAS® Viya®? -
ウェビナー
5 Tips for Using GenAI to Improve Your Customer Experience -
ウェビナー
The Future of Marketing With Gen AI -
ウェビナー
Optimizing the Use of Marketing Technology to Build Customer Trust -
ウェビナー
Unlocking Greater Productivity for Data and AI Teams: Insights From the Latest Futurum Group Study -
ウェビナー
Getting Payback From Generative AI -
ウェビナー
Applied AI for Your Industry: Drive ROI With Ready-Made AI Models -
ウェビナー
How Ready-Made AI Models Accelerate Value From Health Care Data -
ウェビナー
Getting ROI From AI With Modern Data Management -
ウェビナー
The Smart Path Forward: Modernizing From SAS®9 to SAS® Viya® -
ウェビナー
The Future of AI Governance: Merging Oversight, Culture and Technology -
ウェビナー
Navigating the AI Era: Building Trust, Driving ROI and Scaling Innovation -
ウェビナー
The Sector Series | Game Changing AI Technology for Governments: An Introduction to Artificial and Generative Intelligence for Public Sector Leaders -
ウェビナー
Empowering Government Efficiency with SAS Managed Cloud Services on Microsoft Azure Government -
ウェビナー
Scam Season: Real Stories, Smarter Defenses -
ウェビナー
A modernization success story: How one bank’s move to the cloud sparked a culture of innovation -
ウェビナー
Predictive Safety: Harnessing AI and Analytics for Risk Prevention -
ウェビナー
Accelerating AI and Analytics in the Cloud: A Practical Path Forward With SAS and Microsoft -
ウェビナー
Agentic AI in Practice: Transforming Workflows and Employee Productivity -
ウェビナー
The Autonomous Bank: A Clubhouse Conversation on Agentic AI and the Future of Finance -
ウェビナー
The AI Advantage: How SAS Customer Intelligence 360 Solves Real Marketing Challenges -
ウェビナー
How Ready-Made AI Is Driving ROI in Manufacturing -
ウェビナー
Digital Twins – The Next Frontier in Manufacturing -
ウェビナー
Getting to Enterprise-Grade Agentic AI and Decisioning -
ウェビナー
How to Supercharge Enterprise Agentic Workflows With SAS RAM -
ウェビナー
Top 5 Global Fraud Trends for 2026: What Public Sector Leaders Need to Know -
ウェビナー
Feeding Accuracy: Innovate SNAP Quality Assurance Using Data and AI -
ウェビナー
Does Trust Matter? Bolstering Your Reputation and Increasing Value With AI. -
ウェビナー
The Future of AI - Why Trust and Governance Matter -
ウェビナー
Turning Insight Into Impact -
ウェビナー
The Sector Series | Game Changing AI Technology for Governments: Machine Learning -
ウェビナー
Unlocking Data Trust for AI: What Every Leader Needs to Know in 2026 -
ウェビナー
Banking on AI: The 2026 Maturity Pivot -
ウェビナー
Industrial Efficiency Powered by Agentic AI -
ウェビナー
Who’s in Control? Designing, Governing and Trusting Agentic AI at Scale in Banking -
記事
サプライチェーンの成功のためにAIと機械学習を活用する方法