SAS Viya offers strong capabilities for data ingestion and preparation, and the platform shines with its capabilities for model evaluation and assessment ... SAS is a good fit for companies who want a powerful platform for training and deploying advanced models in multiple different environments from a provider with decades of experience in advancing the state of the art in analytics, machine learning, and AI."
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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 -
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: 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
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 -
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 -
고객 사례
Award-winning bank’s data-driven strategy boosts productivity, efficiency and customer centricity -
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 -
분석 보고서
SAS named a Challenger in Gartner® Magic Quadrant™ for Augmented Data Quality Solutions -
분석 보고서
SAS는 The Forrester Wave ™로부터 202년 4분기 실시간 상호작용 관리 리더로 선정되었습니다. -
고객 사례
Banking on the power of data: The analytical approach to trust, performance and productivity -
기사
What are chatbots? -
고객 사례
Modern, real-time marketing grew membership and incremental sales for leading grocery retailer -
고객 사례
French fintech modernizes its analytics approach with SAS Viya -
분석 보고서
Gartner® Voice of the Customer for Analytics and Business Intelligence Platforms -
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
Governments adapting to change -
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
Combating financial crime and terrorism financing with real-time sanctions screening -
고객 사례
Optimizing cancer patient care with advanced analytics -
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 -
고객 사례
Hospitals save time and money with real-time medical device tracking -
고객 사례
Making connections through high-quality data to enhance public safety -
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 -
기사
Key questions to kick off your data analytics projects -
고객 사례
Making buildings – and business – more secure with analytics and AI -
분석 보고서
SAS Explore 2022 Review and Analysis -
고객 사례
Enhancing road safety with advanced analytics -
분석 보고서
Advanced Analytics Excellence In Discrete Manufacturing -
고객 사례
Ensuring public transparency and one-stop access to crime data and analysis -
고객 사례
Making prisons and communities safer with data visualization -
분석 보고서
IDC MarketScape: Worldwide Responsible Artificial Intelligence for Integrated Financial Crime Management Platforms 2022 Vendor Assessment -
기사
Are you good at scoring? -
기사
Analytics: A must-have tool for leading the fight on prescription and illicit drug addiction -
기사
Viking transforms its analytics strategy using SAS® Viya® on Azure -
고객 사례
One of the largest multi-sport clubs in Portugal aims to win big with analytics -
고객 사례
Norway’s largest telecommunications, media and technology provider adapts to rapidly changing customer expectations using a hybrid cloud approach -
고객 사례
Analytics helps major public health system run efficient programs and improve patient care -
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
Analytic models spotlight risky loans -
고객 사례
SAS Viya and open source: Innovation through collaboration -
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 -
기사
What is a data lake & why does it matter? -
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 -
기사
Public health infrastructure desperately needs modernization -
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
Delivery company relies on analytics to optimize logistics and swiftly meet changing marketplace dynamics -
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
Analytics helps ensure fair and balanced pay structures across Sweden’s public sector -
고객 사례
Building a culture of analytics empowers university to lead as an educational enterprise -
고객 사례
Transforming mental health care in California, turning data into insight -
분석 보고서
SAS, 가트너 MQ ‘데이터 사이언스·머신러닝 플랫폼’ 부문 7년 연속 리더 -
웨비나
Getting Started With Geo Analysis in SAS® Visual Analytics -
고객 사례
Advanced analytics empowers businesses with data-driven decisions -
고객 사례
Travel and tourism forecasts become more accurate with analytics -
고객 사례
Solving crime in less time with analytics -
고객 사례
A data-driven approach to whole person care -
고객 사례
분석과 IoT로 홍수를 예측 및 관리하는 스마트 도시 -
기사
Optimizing well placement to eliminate water poverty -
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
5 data management best practices to help you do data right -
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 -
고객 사례
Funding for groundbreaking childhood cancer research fueled by analytics -
기사
The transformational power of evidence-based decision making in health policy -
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 -
고객 사례
Property experts open analytics to new markets -
고객 사례
Boosting institutional research with data governance and self-service reporting -
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 -
기사
Bringing data to the stream -
백서
Adopting AI: Strategic Takes on AI Adoption -
백서
Adopting AI: Industry Perspectives -
E-BOOK
Data Privacy: Are You Concerned? -
백서
Adopting AI: The Impacts of AI on Management -
백서
Adopting AI: Linchpins of AI Success - Data Scientists and Their Algorithms -
백서
Profiling and Analytics under GDPR: Staying on the Right Side of the Regulation with Data Governance -
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 -
백서
SAS®: A Comprehensive Approach to Big Data Governance, Data Management and Analytics -
백서
The SAS Data Governance Framework: A Blueprint for Success -
백서
Data Management: The Foundation for Successful Reporting and Analytics in Education -
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
Seven tips for creating a self-service BI governance strategy -
기사
Personal data: Getting it right with GDPR -
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 -
백서
Drive Next-Generation Customer Experiences with Real-Time Connected Product and Service Analytics -
R E S E A R C H
Nerd in the herd: protecting elephants with data science -
백서
Data Integration Déjà Vu: Big Data Reinvigorates DI -
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
General Data Protection Regulation: From burden to opportunity -
기사
Machine learning, data science and AI meet IoT -
기사
AI marketing: What does the future hold? -
E-BOOK
Data Preparation Challenges Facing Every Enterprise -
백서
Thirsting for Insight? -
고객 사례
Smart data exploration advances K-12 public education programs -
기사
Data integration: It ain't what it used to be -
기사
Fraud detection and machine learning: What you need to know -
E-BOOK
Storytelling in Business: The plot, the players and the path to dynamic customer engagement -
백서
Advanced Analytics: Moving Toward AI, Machine Learning, and Natural Language Processing -
기사
Location intelligence: Adding geospatial context to BI -
기사
Artificial intelligence, machine learning, deep learning and more -
기사
IIA research identifies barriers to business intelligence and analytics adoption -
고객 사례
Achieving academic and operational excellence through business intelligence -
백서
Accelerating the Path to Value with Business Intelligence and Analytics -
백서
Statistics and Machine Learning at Scale -
고객 사례
데이터 분석을 통한 비용절감 사례 -
기사
Data management backgrounder -
기사
The five D's of data preparation -
E-BOOK
The Mechanics of Storytelling -
기사
Machine learning for beginners and beyond -
기사
Data quality management What you need to know -
백서
Best Practices for Hadoop: A Guide From SAS Customers -
기사
The future of IoT: On the edge -
백서
The Power of Collaboration -
백서
SAS Best Practices Report: Data Lakes -
백서
TDWI Navigator Report: Predictive Analytics -
회견
Location analytics: Why adding where makes BI better -
E-BOOK
Enrich Your Data With Location Analytics -
기사
Data lake and data warehouse – know the difference -
회견
The University of Alabama makes better decisions through education analytics -
기사
What is data profiling and how does it make big data easier? -
백서
Redefine Your Analytics Journey With Interactive Data Exploration and Predictive Analytics -
기사
5 machine learning mistakes and how to avoid them -
백서
The General Data Protection Regulation: What It Means and How SAS® Data Management Can Help -
백서
Field Experience in Embedded Analytics -
백서
The Next Analytics Age: Machine Learning -
기사
Three C’s of the connected customer in the IoT -
백서
Data Management in Action: Solving Real-World Challenges -
백서
Rethinking Enterprise BI to Fit a Self-Service World -
기사
5 steps to sustainable GDPR compliance -
E-BOOK
Data Management: What You Need to Know and Why -
백서
Data Visualization Techniques -
백서
Approachable Analytics With SAS® Web Solutions -
기사
Learning the art of analytical storytelling -
기사
How openness can supercharge event stream analytics -
고객 사례
SAS를 통해 고객 참여를 활성화하는 호주 최대 이동통신사 Telstra -
기사
Governed analytics and discovery: Balancing business user and IT needs -
백서
BI, Analytics, and the Cloud: Strategies for Business Agility -
백서
IoT success depends on data governance, security and privacy -
기사
Big data privacy: Four ways your data governance strategy affects security, privacy and trust -
기사
How to improve data prep for analytics: TDWI shares best practices -
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 -
백서
Improving Data Preparation for Business Analytics -
기사
5 ways data monetization can inform data strategy -
백서
TDWI Checklist Report: Gaining Business Value from Governed Analytics and Discovery -
기사
An executive’s guide to cognitive computing -
기사
Coming soon: The Industrial Internet and IoT standards -
기사
Become a strategic business partner using analytics in finance -
기사
Exploring the sun with big data -
회견
A brave new world of analytics -
기사
Stopping the Zika virus: The potential of big data, analytics -
기사
The importance of data quality: A sustainable approach -
백서
Operationalizing and Embedding Analytics for Action -
기사
Chief data officer role shakes up traditional data governance -
기사
Applying machine learning to IoT data -
기사
8 ways an enterprise data strategy enables big data analytics -
기사
Your personal data scientist -
기사
Big data management: 5 things you need to know -
기사
Clear-cut big data strategy tied to strong financial performance -
고객 사례
Conservation efforts take flight with analytics -
백서
SAS and the Hadoop Ecosystem -
기사
Streaming data: The ins and outs of this technology buzzword -
회견
The scoop on Hadoop -
기사
Introduction to machine learning: Five things the quants wish we knew -
회견
How do you know if you’re ready for Hadoop? -
백서
Making Sense of Hadoop and its Ecosystem -
회견
How does one of the largest cities in the world use data for social good? -
기사
Big data integration: Go beyond 'just add data' -
기사
Hadoop in the boardroom? -
고객 사례
Child support agency uses analytics to provide better options for parents -
기사
Data governance: The case for self-validation -
기사
Sensing a disturbance in the data -
백서
Hadoop for the Enterprise: Making Data Management Massively Scalable, Agile, Feature-Rich, and Cost-Effective -
기사
Hadoop survey results reveal use cases, needs and trends -
기사
The “problem-solver” approach to data preparation -
백서
Self-Service Big Data Preparation in the Age of Hadoop: A Conversation with SAS -
기사
What was your data doing during the financial crisis? -
기사
How do recommendation systems know what you might like? -
회견
Hadoop is the new boardroom buzzword -
기사
Three reasons reporting and analytics projects fail and how to avoid the pitfalls -
백서
Recommendation Systems -
백서
Data is King -
기사
Data governance framework: What is it and do I already have one? -
회견
Toyota Financial Services’ CIO is a model for change: part innovator, part gatekeeper -
기사
Twelve questions to ask your data visualization software vendor -
백서
Revamping Data Management -
기사
I see big data. All the time. It’s everywhere. -
기사
Soccer versus baseball: which is the best analogy for data governance? -
기사
Is your data too big to visualize? -
기사
Data quality: The Achilles' heel of risk management -
기사
Using Hadoop as an Analytics Catalyst -
기사
How data visualization helps crack down on crime -
기사
A Getting Started With Hadoop Checklist -
기사
You don’t know me. Or do you? Data meets anthropology -
기사
Why your brain needs data visualization -
기사
Components of an information management strategy -
기사
Skip the fire drills -
기사
Goooooal! How data stewards score with data visualization -
기사
Charlie Brown's teacher speaks Hadoop. Do you? -
기사
Tackling the new terrorist threat -
백서
A Non-Geek’s Big Data Playbook -
사례 연구
Canada Post on the (careful) commercialization of data -
회견
Data visualization: A wise investment in your big data future -
기사
Five steps that can save your data analytics – and help you save face -
기사
You can’t have that data! It’s not perfect yet -
고객 사례
Nationwide reduces fraud losses by 75% -
E-BOOK
Fearless Decision? -
백서
How the first mile of consumer goods can fight climate change -
백서
Using Agriculture Analytics to Improve Field Trials -
E-BOOK
Augmented Analytics: The secret ingredient to better business intelligence -
백서
4Rs of Digital Farming: How SAS Is Advancing Precision Agriculture -
백서
Four Elements of Sustainability Analytics -
백서
Combining Robotic Process Automation and Machine Learning -
E-BOOK
Operationalizing Analytics -
백서
TDWI Best Practices Report | Faster Insights from Faster Data -
E-BOOK
The Innovator's Flight Plan to AI -
백서
The Autonomous Grid in the Age of the Artificial Intelligence of Things -
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 -
회견
How does a center of excellence really work? -
고객 사례
Empowering customers to choose more efficient energy consumption
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