SAS is a Leader in The Forrester Wave™:
Real-Time Interaction Management, Q1 2024
As noted in the Forrester report, "SAS incorporates responsible AI into enterprise RTIM decisioning." "Its roadmap promises to make the power of predictive and generative AI more easily accessible to knowledge workers and customer-facing resources beyond its usual data science power users."
SAS leverages its advanced analytics capabilities to enrich RTIM use cases with real-time alerts and decisions associated with credit, fraud, risk, and other operational dynamics. This powerful combination underpins SAS’s vision for responsible engagement based on analytically driven business practices that foster customer trust."The Forrester Wave™: Real-Time Interaction Management, Q1 2024
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E-BOOK
Your journey to a GenAI future: A strategic path to success in life sciences and pharma -
분석 보고서
SAS is a Leader in The Forrester Wave™: Cross-Channel Marketing Hubs, Q4 2024 -
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 -
E-BOOK
Five reasons developers hit a productivity wall – and what to do about it -
E-BOOK
Data-driven health care -
E-BOOK
Your journey to a GenAI future: A strategic path to success in health care -
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 -
백서
Navigating the uncertain world of third-party cookies -
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 -
고객 사례
Leading cruise line personalizes passengers’ onboard experience in real time -
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 -
분석 보고서
2024 Gartner® Magic Quadrant™ 데이터 사이언스 및 머신러닝 부문 -
백서
Top 5 insurance problems – and AI isn’t one of them -
분석 보고서
SAS는 The Forrester Wave ™ 로부터 2020 년 3 분기 고객 분석 기술 리더로 선정되었습니다. -
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
Modern, real-time marketing grew membership and incremental sales for leading grocery retailer -
백서
Creating Meaningful Data-driven Customer Journeys -
분석 보고서
Gartner® Top Strategic Technology Trends for 2024: AI Trust, Risk and Security Management -
고객 사례
Jakarta Smart City uses IoT analytics to better serve residents -
고객 사례
French national rugby team boosts performance with AI and analytics -
백서
Improving HCP Engagement with Digital Analytics -
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 is a Leader in The Forrester Wave™: AI Decisioning Platforms, Q2 2023. -
백서
Retail bank media networks: Monetize customer data with personalized offers and advertising -
분석 보고서
SAS Inside Intelligence 2023 Conference -
E-BOOK
The Path to a Single Customer View -
고객 사례
Predicting real-time insurance needs with hyperpersonalization -
고객 사례
Advanced analytics in the cloud helps international biopharmaceutical group enhance operations and efficiency -
기사
Analytics leads to lifesaving cancer therapies -
고객 사례
One airport operator is making every journey personal for passengers -
고객 사례
Voetbalmedia uses MarTech from SAS to better engage with 1.4 million football players and enthusiasts -
분석 보고서
IDC MarketScape: Worldwide MLOPs Platforms 2022 Vendor Assessment -
분석 보고서
IDC Spotlight: Looking Beyond the AI Model to Improve the Value of Computer Vision in Manufacturing Operations -
분석 보고서
SAS is a Leader in The Forrester Wave™: Digital Intelligence Platforms, Q4 2022 -
고객 사례
Just add data: How data and technology — paired with a human touch — create a sustainable and quality culinary experience -
분석 보고서
Artificial Intelligence In Retail: What Now? -
고객 사례
Improving data collection and modeling to accelerate predictive medicine efforts -
분석 보고서
SAS Explore 2022 Review and Analysis -
분석 보고서
Advanced Analytics Excellence In Discrete Manufacturing -
분석 보고서
IDC MarketScape: Worldwide Responsible Artificial Intelligence for Integrated Financial Crime Management Platforms 2022 Vendor Assessment -
기사
Analytics: A must-have tool for leading the fight on prescription and illicit drug addiction -
백서
Maximizing Moments of Truth: Creating Meaningful Real-Time Customer Interactions -
기사
Viking transforms its analytics strategy using SAS® Viya® on Azure -
고객 사례
Norway’s largest telecommunications, media and technology provider adapts to rapidly changing customer expectations using a hybrid cloud approach -
고객 사례
Protecting nature with dollars and sense -
고객 사례
유통업체인 Workplace Solutions는 데이터 기반 마케팅을 통해, 매력적인 고객 경험을 만들었습니다. -
고객 사례
It’s all in the research: Using AI to solve issues in health care -
분석 보고서
Data-Driven Grid Reliability: IoT Sensing and Analytics to Enable Predictive Maintenance and Improve Resiliency -
분석 보고서
dbInsight: SAS Viya is living large on Azure -
고객 사례
Integrated marketing improves results for marketers and customers -
고객 사례
Building reliability in risk -
기사
Detect and prevent banking application fraud -
고객 사례
A customer connection is the special ingredient -
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
Maximizing the reach and impact of an eHealth hub -
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 -
고객 사례
Reaching 3.6 million football fans via comprehensive marketing analytics -
고객 사례
Swiss financial institution uses advanced analytics to reimagine marketing and personalize customer experiences -
고객 사례
Building a culture of analytics empowers university to lead as an educational enterprise -
기사
The 5 new rules of retail -
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
Reimagine marketing: Today, tomorrow and in times of disruption -
분석 보고서
The Total Economic Impact Of SAS Customer Intelligence 360 -
기사
Your customers aren’t afraid of new technologies. Are you? -
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 -
기사
Five trends that will reshape customer experience -
기사
From Apollo to AI: A new era of American exploration -
기사
The untapped potential in unstructured text -
기사
AI in manufacturing: New opportunities for IT and operations -
기사
인공 지능의 인간미 -
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
Modernizing consumer lending in Vietnam -
고객 사례
고급 분석으로 고객 경험 개선 -
기사
IoT: The customer experience accelerator you can't afford to ignore -
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 -
기사
What big data has brought to the privacy discussion -
백서
Adopting AI: Strategic Takes on AI Adoption -
백서
Adopting AI: Industry Perspectives -
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
Data Management for Artificial Intelligence -
백서
Keys to robust credit risk modeling and decisioning for better customer experience -
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 -
기사
Effective real-time marketing -
백서
Machine Learning Use Cases in Financial Crimes -
백서
Real-Time Analytics: The Key to Unlocking Customer Insights & Driving the Customer Experience -
기사
Wanted: AI leaders -
백서
Using Hybrid Cloud Capabilities for True Omnichannel Marketing -
기사
Machine learning and artificial intelligence in a brave new world -
기사
Contextual engagement -
기사
3 steps for AI ethics -
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® -
기사
What do drones, AI and proactive policing have in common? -
백서
The Risks and Rewards of AI -
E-BOOK
How Can Retailers Satisfy Today's Customers? -
백서
Machine learning and artificial intelligence in a brave new world -
기사
How to improve your AI marketing skills -
기사
AI marketing: What does the future hold? -
기사
Machine learning, data science and AI meet IoT -
기사
Three ways to improve real time marketing results -
백서
The Internet of Things: Marketing’s Opportunities and Challenges -
기사
Artificial intelligence, machine learning, deep learning and more -
기사
Real-time customer engagement is the future of experience management -
E-BOOK
Improving Customer Experience -
기사
The marketing analytics must-haves -
백서
Getting to Why in Omnichannel Marketing Attribution -
백서
Marketing attribution: Giving credit where credit is due -
백서
Improve Customer Experience with Actionable Artificial Intelligence -
백서
Redefining Brand Performance for the 21st Century -
시리즈
The value of marketing metrics at Visa -
기사
An executive’s guide to cognitive computing -
백서
Operationalizing and Embedding Analytics for Action -
고객 사례
The right offer every time -
고객 사례
Optimization delivers more revenue while slashing marketing costs -
기사
Marketing measurement do's and don'ts -
백서
The Architecture and Security of SAS® Marketing Operations Management -
기사
Empty shelves: The retail analytical talent deficit -
기사
Marketing optimization: Five lessons learned at a major US bank -
백서
Customer Engagement Analytics: How to Use Data to Create (and Keep) Happy Customers -
기사
Three tips for data-driven marketing from the Las Vegas Sands -
기사
Do marketers need real-time analytics -
기사
The digitization of everything – its impact on the buyer’s journey and marketing’s role -
분석 보고서
백서
Marketing Analytics for Manufacturing: Forging Customer Insights -
E-BOOK
Fearless Decision? -
E-BOOK
Brilliant decision? -
백서
AI and analytics are powering a demand planning and customer experience revolution -
백서
SAS - Hospitality Provider -
E-BOOK
Planning For CDP Success: A guided journey for choosing a customer data platform -
백서
Where does marketing stop and advertising begin? -
백서
AIOT: How IoT Leaders Are Breaking Away (IDC Market Report / AIoT Survey 2019) -
백서
Data, Analytics & AI: How Trust Delivers Value -
백서
How AI Changes the Rules -
백서
AI Momentum, Maturity & Models for Success: Focus on Singapore -
E-BOOK
How to Take AI Projects From Start to Win -
백서
The Autonomous Grid in the Age of the Artificial Intelligence of Things -
백서
Artificial Intelligence in Banking and Risk Management -
백서
TDWI Checklist Report Six Best Practices to Ignite the Customer Experience with IoT -
E-BOOK
Accelerate and improve business outcomes with AIoT -
E-BOOK
Formidable Forecasts -
E-BOOK
The Innovator's Flight Plan to AI -
E-BOOK
Augmented Analytics: The secret ingredient to better business intelligence -
백서
AI for the CIO: 10 Tips for Success -
E-BOOK
Powering Health Innovation with AI -
웨비나
AI in Health Care: Enhance Clinical and Operational Decision Making -
고객 사례
Hyper-personalized offers help consumer finance company elevate the customer experience -
고객 사례
InShared moves towards an integrated omnichannel marketing approach with SAS Customer Intelligence solution
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