SAS Viya's strength in performance and scalability is rooted in its in-memory architecture, parallel processing capabilities, efficient access to data sources, and breadth of deployment options including real time. In addition, Viya's cloud-native design allows it to scale horizontally and vertically, enabling the software to handle large data sets and complex analytics tasks efficiently."
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E-BOOK
Your journey to a GenAI future: A strategic path to success in life sciences and pharma -
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 -
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 -
E-BOOK
On the Road to Accelerating Claims Automation -
백서
Pioneering Ethical AI: The Crucial Role of Property and Casualty Insurers -
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 -
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? -
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 -
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. -
분석 보고서
SAS Inside Intelligence 2023 Conference -
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 -
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 -
고객 사례
Making buildings – and business – more secure with analytics and AI -
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 -
고객 사례
It’s all in the research: Using AI to solve issues in health care -
분석 보고서
dbInsight: SAS Viya is living large on Azure -
분석 보고서
Matrix: Leading Fraud & AML Machine Learning Platforms -
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 -
고객 사례
Building a culture of analytics empowers university to lead as an educational enterprise -
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 -
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: 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
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™ -
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 -
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 -
고객 사례
SAS를 통해 고객 참여를 활성화하는 호주 최대 이동통신사 Telstra -
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 -
E-BOOK
The Innovator's Flight Plan to AI -
E-BOOK
Augmented Analytics: The secret ingredient to better business intelligence -
백서
The Autonomous Grid in the Age of the Artificial Intelligence of Things -
E-BOOK
Fearless Decision? -
백서
Artificial Intelligence in Banking and Risk Management -
백서
AI Momentum, Maturity & Models for Success: Focus on Singapore -
E-BOOK
How to Take AI Projects From Start to Win -
백서
Data, Analytics & AI: How Trust Delivers Value -
E-BOOK
Accelerate and improve business outcomes with AIoT -
백서
TDWI Checklist Report Six Best Practices to Ignite the Customer Experience with IoT -
E-BOOK
Formidable Forecasts -
백서
AIOT: How IoT Leaders Are Breaking Away (IDC Market Report / AIoT Survey 2019) -
E-BOOK
Powering Health Innovation with AI -
백서
AI for the CIO: 10 Tips for Success -
백서
How AI Changes the Rules -
웨비나
AI in Health Care: Enhance Clinical and Operational Decision Making