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2024 Gartner® Magic Quadrant™ for Data Science and Machine Learning
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- 電子書 Government navigating an uncertain world
- 電子書 Data-driven health care
- 白皮書 Generative AI in Health Care: Opportunities and Cautions
- 其他 – 第三方合作夥伴 白皮書 How to realize value from cloud analytics faster — and with less cost and risk
- 白皮書 Top 5 insurance problems – and AI isn’t one of them
- 電子書 Detect and halt risky payments across the life sciences supply chain
- 文章 What are AI hallucinations?
- 電子書 The insurance data and AI revolution
- 文章 What are chatbots?
- 客戶案例 Specialist bank accelerates digital transformation with cloud migration
- 分析報告 Gartner® Top Strategic Technology Trends for 2024: AI Trust, Risk and Security Management
- 客戶案例 Jakarta Smart City uses IoT analytics to better serve residents
- 客戶案例 法國橄欖球國家隊透過 AI 和資料分析提高表現
- 客戶案例 Breaking the cycle of poverty through advanced analytics
- 文章 4 strategies that will change your approach to fraud detection
- 客戶案例 Managing Dutch roads and waterways with intelligence
- 客戶案例 客戶案例 Advanced analytics helps policymakers determine how new tax measures would affect citizens
- 分析報告 SAS is a Leader in The Forrester Wave™: AI Decisioning Platforms, Q2 2023.
- 分析報告 SAS Inside Intelligence 2023 Conference
- 客戶案例 Modern, real-time marketing increases customer loyalty and revenue for property management company and its retail tenants
- 客戶案例 Taking the guesswork out of production planning
- 客戶案例 Advanced analytics in the cloud helps international biopharmaceutical group enhance operations and efficiency
- 文章 Analytics leads to lifesaving cancer therapies
- 分析報告 IDC MarketScape: Worldwide MLOPs Platforms 2022 Vendor Assessment
- 分析報告 IDC Spotlight: Looking Beyond the AI Model to Improve the Value of Computer Vision in Manufacturing Operations
- 分析報告 SAS is a Leader in The Forrester Wave™: Digital Intelligence Platforms, Q4 2022
- 客戶案例 Just add data: How data and technology — paired with a human touch — create a sustainable and quality culinary experience
- 分析報告 Artificial Intelligence In Retail: What Now?
- 客戶案例 Improving data collection and modeling to accelerate predictive medicine efforts
- 客戶案例 Making buildings – and business – more secure with analytics and AI
- 分析報告 SAS Explore 2022 Review and Analysis
- 分析報告 Advanced Analytics Excellence In Discrete Manufacturing
- 分析報告 IDC MarketScape: Worldwide Responsible Artificial Intelligence for Integrated Financial Crime Management Platforms 2022 Vendor Assessment
- 文章 Analytics: A must-have tool for leading the fight on prescription and illicit drug addiction
- 客戶案例 It’s all in the research: Using AI to solve issues in health care
- 分析報告 dbInsight: SAS Viya is living large on Azure
- 分析報告 Matrix: Leading Fraud & AML Machine Learning Platforms
- 客戶案例 Building reliability in risk
- 文章 Detect and prevent banking application fraud
- 客戶案例 Finland’s top retail bank applies AI to improve customer service and credit scoring
- 客戶案例 Transformation of the National Bank of Greece with SAS Viya on Microsoft Azure
- 客戶案例 Real-time analytics helps telecom provider adapt to changing customer needs during global pandemic and beyond
- 客戶案例 Transforming steelmaking through IoT analytics
- 客戶案例 Transforming the consumer banking experience through advanced analytics
- 客戶案例 Predictive analytics helps save lives during COVID-19 pandemic
- 客戶案例 Predictive analytics empowers bank to act quickly with confidence
- 客戶案例 Artificial intelligence yields breakthrough innovation in crop science
- 客戶案例 Building a culture of analytics empowers university to lead as an educational enterprise
- 客戶案例 Advanced analytics empowers businesses with data-driven decisions
- 客戶案例 Travel and tourism forecasts become more accurate with analytics
- 客戶案例 智慧城市利用IoT與分析,預測及管理洪災問題
- 客戶案例 Financial lender cuts third-party fraud by more than 80% with layered detection
- 文章 5 ways to measure beehive health with analytics and hive-streaming data
- 客戶案例 World’s largest sports and humanitarian event builds legacy of inclusion with data-driven technology
- 客戶案例 Prison violence dramatically drops with analytics-based risk assessment
- 客戶案例 Revolutionizing marketing campaigns with AI
- 客戶案例 Manufacturing smarter, safer vehicles with analytics
- 文章 As AI accelerates, focus on 'road' conditions
- 文章 AI in government: The path to adoption and deployment
- 客戶案例 A model of institutional research champions the value of analytics for all
- 文章 From Apollo to AI: A new era of American exploration
- 文章 The untapped potential in unstructured text
- 文章 AI in manufacturing: New opportunities for IT and operations
- 客戶案例 Predictive analytics and AI deliver a winning fan experience
- 文章 The Humanity in Artificial Intelligence
- 客戶案例 Forecasting accuracy brings ‘new energy’ to Cameroon
- 客戶案例 Artificial intelligence and IoT analytics keep aircraft operational for crucial missions
- 電子書 5 Steps to Accelerate Value From Your Industrial IoT Data
- 文章 How AI and advanced analytics are impacting the financial services industry
- 文章 AI in banking: Survey reveals factors for success
- 客戶案例 透過機器學習尋找最佳客戶
- 文章 Data lineage: Making artificial intelligence smarter
- 文章 How to drill a better hole with analytics
- 客戶案例 Advanced analytics can detect and prevent insurance fraud before losses occur
- 白皮書 The Artificial Intelligence of Things
- 客戶案例 客戶案例 物聯網數據結合人工智慧成功減少停機時間,協助貨車車隊持續運行
- 白皮書 Adopting AI: Strategic Takes on AI Adoption
- 白皮書 Adopting AI: Industry Perspectives
- 白皮書 Adopting AI: The Impacts of AI on Management
- 白皮書 Adopting AI: Linchpins of AI Success - Data Scientists and Their Algorithms
- 客戶案例 數位零售商藉由分析囊括銷售記錄
- 白皮書 AI Momentum, Maturity and Models for Success
- 文章 Shut the front door on insurance application fraud!
- 白皮書 The 3 R’s of AI Adoption: Refactor, Reinvent, Reimagine
- 文章 A guide to machine learning algorithms and their applications
- 白皮書 The Machine Learning Landscape
- 白皮書 Data Management for Artificial Intelligence
- 文章 GDPR and AI: Friends, foes or something in between?
- 客戶案例 Using artificial intelligence to better engage with customers
- 白皮書 Artificial Intelligence for Executives
- 白皮書 Machine Learning Use Cases in Financial Crimes
- 文章 Wanted: AI leaders
- 文章 Machine learning and artificial intelligence in a brave new world
- 白皮書 Machine Learning With SAS® Enterprise Miner™
- 文章 3 steps for AI ethics
- 研究 Nerd in the herd: protecting elephants with data science
- 白皮書 How to Do Deep Learning With SAS®
- 文章 What do drones, AI and proactive policing have in common?
- 文章 您的AI還在沙盒裡嗎? 那些說已獲AI成效的企業做了什麼?
- 文章 台灣製造業再戰 10 年新標配:AIoT 如何助力工廠從自動化邁向智慧化
- 文章 迎向開放銀行第三階段,佈局「智慧中台」實現場景金融
- 文章 趨勢觀察/保險業接軌IFRS17 把握數位轉型契機
- 文章 AI如何改寫保險業機遇?迎向2030年保險業未來趨勢
- 文章 線下轉線上,企業的極速轉型!
- 文章 後Cookie時代,以AI打造「客戶決策平台」追緊消費者足跡
- 文章 疫情再襲零售業的備戰之道:如何提高需求預測準確度?
- 文章 為何已導入 AI,營運效率還是 NG?讓 AI 上雲提升企業數位韌性
- 文章 資料科學家還在自己做資料清理與特徵工程?怎麼不讓 AutoML 來幫你!
- 文章 大和證券活用SAS AI科技 強化營業提案能力
- 文章 反洗錢大作戰,看AI如何助攻!
- 白皮書 The Risks and Rewards of AI
- 白皮書 Machine learning and artificial intelligence in a brave new world
- 文章 How to improve your AI marketing skills
- 文章 AI marketing: What does the future hold?
- 文章 2018年技術趨勢的兩大共性
- 文章 Fraud detection and machine learning: What you need to know
- 白皮書 Advanced Analytics: Moving Toward AI, Machine Learning, and Natural Language Processing
- 文章 Artificial intelligence, machine learning, deep learning and more
- 白皮書 Statistics and Machine Learning at Scale
- 客戶案例 Analytics turns service repair data into cost savings
- 文章 Machine learning for beginners and beyond
- 白皮書 TDWI Navigator Report: Predictive Analytics
- 文章 不用說,我都能懂!「機器學習」給零售業的新解方
- 白皮書 Redefine Your Analytics Journey With Interactive Data Exploration and Predictive Analytics
- 文章 5 machine learning mistakes and how to avoid them
- 白皮書 The Next Analytics Age: Machine Learning
- 文章 Student lands dream job with help from SAS
- 文章 When it matters: Safeguarding your organization from the inside
- 白皮書 Improve Customer Experience with Actionable Artificial Intelligence
- 文章 An executive’s guide to cognitive computing
- 客戶案例 University uses analytics to ensure student success
- 文章 Exploring the sun with big data
- 文章 Stopping the Zika virus: The potential of big data, analytics
- 文章 Applying machine learning to IoT data
- 文章 Your personal data scientist
- 客戶案例 Conservation efforts take flight with analytics
- 文章 Introduction to machine learning: Five things the quants wish we knew
- 客戶案例 Child support agency uses analytics to provide better options for parents
- 客戶案例 Knowing the who, informs the what
- 客戶案例 Building a decision support system
- 白皮書 Combining Robotic Process Automation and Machine Learning
- 白皮書 AIOT: How IoT Leaders Are Breaking Away (IDC Market Report / AIoT Survey 2019)
- 白皮書 Data, Analytics & AI: How Trust Delivers Value
- 白皮書 How AI Changes the Rules
- 白皮書 AI Momentum, Maturity & Models for Success: Focus on Singapore
- 電子書 How to Take AI Projects From Start to Win
- 白皮書 The Autonomous Grid in the Age of the Artificial Intelligence of Things
- 電子書 Fearless Decision?
- 電子書 Transformational decision?
- 白皮書 Artificial Intelligence in Banking and Risk Management
- 白皮書 TDWI Checklist Report Six Best Practices to Ignite the Customer Experience with IoT
- 電子書 Accelerate and improve business outcomes with AIoT
- 電子書 Formidable Forecasts
- 電子書 The Innovator's Flight Plan to AI
- 電子書 Augmented Analytics: The secret ingredient to better business intelligence
- 白皮書 AI for the CIO: 10 Tips for Success
- 電子書 Powering Health Innovation with AI
- 網路研討會 Five AI Insights – And How Executives Can Use Them for Their Advantage
Gartner, Magic Quadrant for Data Science and Machine Learning Platforms, Afraz Jaffri, Aura Popa, Peter Krensky, Jim Hare, Raghvender Bhati, Maryam Hassanlou, Tong Zhang, 17 June 2024.
GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and MAGIC QUADRANT is a registered trademark of Gartner, Inc. and/or its affiliates and are used herein with permission. All rights reserved.
This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from SAS. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.