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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
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 -
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, 2023년 2분기 The Forester Wave™: AI 기반 의사결정 플랫폼 부문 리더로 선정되다 -
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
Gartner, Magic Quadrant 데이터 사이언스 및 머신러닝 부문, Afraz Jaffri, Aura Popa, Peter Krensky, Jim Hare, Raghvender Bhati, Maryam Hassanlou, Tong Zhang, 2024년 6월 17일.
GARTNER는 Gartner, Inc. 및/또는 그 계열사의 미국 및 국제 등록 상표이자 서비스 마크이며, MAGIC QUADRANT는 Gartner, Inc. 및/또는 그 계열사의 등록 상표로서 본 문서에서는 허가를 받아 사용되었습니다. All rights reserved.
이 그래픽은 Gartner, Inc.에서 더 큰 규모의 연구 자료를 위해 게시한 것이므로, 전체 문서의 맥락에서 평가되어야 합니다. 해당 Gartner 문서는 SAS에서 요청 시 제공됩니다. Gartner는 자체 연구 출판물에서 언급된 벤더, 제품 또는 서비스에 대한 보증을 하지 않으며, 기술 사용자가 최고 등급이나 기타 지정을 받은 벤더만을 선택하도록 권하고 있지 않습니다. Gartner의 연구 출판물은 Gartner 소속 연구 조직의 의견을 담은 것으로, 이는 사실에 대한 진술로서 해석되어서는 안 됩니다. Gartner는 본 연구와 관련하여 상품성이나 특정 목적에의 적합성에 대한 보증을 포함한 명시적이거나 묵시적인 모든 형태의 보증을 부인합니다.