A LEADER WITH GARTNER
SAS is the only vendor named a leader in the Magic Quadrant for Data Science and Machine Learning Platforms for all eight years of its existence.
2021
Gartner Magic Quadrant for Data Science & Machine Learning Platforms
What's the secret to our success?
SAS offers enterprise-grade platform capabilities and support, coupled with a robust vision for key market trends, including composite AI, decision intelligence and MLOps.
A business-oriented approach to drive measurable value rapidly from machine learning and artificial intelligence.
Time to realized value.
The biggest problem we've faced is the perception of SAS products being legacy vs. the cloud native offerings. This perception is not grounded in reality based on our experience.
Quotes from a Director of Data Insights in the Finance Industry
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Analyst Report
SAS is a Leader in The Forrester Wave™: AI Decisioning Platforms, Q2 2023.The Forrester Wave™: AI Decisioning Platforms, Q2 2023 recognizes SAS for seamlessly integrating world-class analytics for decisioning.
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E-Book
ModelOps Explained: A Starter’s Guide to Deploying and Managing AI and Analytical ModelsInterviews with analysts at IDC and Gartner, along with survey results from SAS and Omdia, provide guidance on how to overcome the barriers to operationalizing analytics.
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White Paper
Making the case: The ROI of demand managementThis paper shows how to determine the value of improving the credibility of the demand plan. Several templates are included to help in quantifying and documenting the return on investment.
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E-Book
Innovation driven by strategyFrom curing diseases to studying the sun, innovative uses of analytics are changing the world. Download this e-book to see where tomorrow’s technologies are happening today. You’ll find out how analytics technologies are being used for cybersecurity, machine learning, the Internet of Things and more. If you’re looking for inspiration, see where this e-book takes you.
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White Paper
Improving disaster response efforts through dataThis article explores the use of data and analytics in areas of social and economic development, including disaster management. The article was created with data from a survey by The Economist Intelligence Unit of data scientists and professionals in the public and private sectors globally.
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White Paper
The impact of data and analytics on local governmentGlobally, data and analytics usage for local governments is on the rise. From planning to operational impact, municipalities benefit from data-driven decision making and data sharing. And the ultimate winners are its citizens, offering better use of taxpayer funding and improved living conditions.
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E-Book
Becoming a data-driven organizationLearn about the three foundations of becoming data-driven – data management, analytics and visualization – and how they can increase profitability, boost performance, raise market share and improve operations.
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Customer Story
クラウドベースのアナリティクスとAIで顧客エンゲージメントを強化1-800-FLOWERS.COM社は、顧客の愛情表現、つながり合い、祝意伝達をSAS Viya on Azureで支援しています。
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Customer Story
ポルトガル最大級のマルチスポーツクラブがアナリティクスで大きな成功を追求Sport Lisboa e Benfica（通称：SLベンフィカ）は国際展開の拡大を目指すにあたり、SAS Analyticsで運営・業務のモダナイズを進めています。
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Customer Story
SAS Viyaとオープンソース： コラボレーションによるイノベーションドイツの公的健康保険会社のTechniker Krankenkasseは、革新的なパターン認識機能を構築するためにSASと協働しています。
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Customer Story
ノルウェー最大の通信／メディア／テクノロジー・プロバイダー、ハイブリッド・クラウド・アプローチを用いて顧客の期待の急速な変化に適応Telenor社はSAS Viya on AzureとSAS Customer Intelligence 360を活用して、リアルタイム・アナリティクスに基づきパーソナライズされた顧客サービスを迅速に提供しています。
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Customer Story
フィンランド最大手のリテール銀行、顧客サービスとクレジット・スコアリングを改善するためにAIを適用S-Bankは、SAS Viya on Azureを活用して、より優れた顧客サービスと、より迅速かつ正確なローン契約処理を提供しています。
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White Paper
In-Memory Analytics: Get Faster, Better Insights from Big DataThis QA with Tapan Patel, Global Product Marketing Manager at SAS, provides a great overview of in-memory analytics.
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White Paper
Improve Customer Experience with Actionable Artificial Intelligence While more marketers turn to artificial intelligence technologies, this new territory also raises more questions. This paper offers a detailed look into how AI works, and explores the opportunities and challenges it presents.
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White Paper
Hosted managed services for SAS® technologySAS provides hosted managed services designed to provide faster and easier deployment options for SAS technologies. This white paper reviews the fundamentals of this capability.
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White Paper
The Next Analytics Age: Machine LearningWhat management and leadership challenges will the next wave of analytic technology bring? This SAS-sponsored Harvard Business Review Insight Center on HBR.org went beyond the buzz to talk about how machine learning will change companies and the way we manage them.
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White Paper
Leadership and Big Data InnovationA Harvard Business Review Key Learning Summary
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E-Book
Your guide to bridging the analytics skills gap This e-book pulls together five customer interviews to explain where analytics skills are needed in different industries (from journalism to insurance to government). The customers explain how to provide training and cultural changes to support analytics careers.
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White Paper
From chaos to coherence: Managing pandemics with dataBased on a survey by The Economist Intelligence Unit on the use of data and analytics, professionals in the public and private sectors around the world viewed health care as the industry with the greatest potential to benefit from data analytics. In fact, the global sharing of health care data means most are optimistic about preventing future pandemics, and they want businesses to work closer with government entities to share health care data for the greater good.
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Customer Story
Financial lender cuts third-party fraud by more than 80% with layered detectionAxcess Financial uses SAS Identity 360 to dramatically reduce fraud losses and boost customer satisfaction.
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White Paper
Better Forecasting With Next-Generation Demand ManagementThe multitude of forces affecting the relationship between demand and supply are set to expand their influence. Smart leaders will take advantage of the flood of digital data to better understand those forces to make more accurate and predictive supply chain decisions.
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White Paper
Forecasting 101Organizations spend much time and money searching for a magic formula for the perfect forecast, yet still get bad forecasts. But it doesn't have to be this way. This paper provides a summary of a webinar in the SAS "Applying Business Analytics" series that discusses how businesses can achieve better accuracy and forecasting efficiency by understanding the nature of demand patterns and where the forecasting process is adding value — or not.
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White Paper
Fast and Furious: Big Data Analytics Meets HadoopConclusions paper from a presentation at the 2014 Strata Santa Clara big data conference, in which two SAS data experts demonstrated new ways of gaining insights from big data at speeds that will redefine how organizations solve complex problems.
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White Paper
The Evolution of AnalyticsLearn about modern applications for machine learning, including recommendation systems, streaming analytics, deep learning and cognitive computing. And learn from the experiences of two companies that have successfully navigated organizational and technological challenges to adopt machine learning and embark on their own analytics evolution.
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White Paper
Demand ShapingDemand shaping is commonly thought of in terms of demand manipulation. This paper provides an extended version of demand shaping that helps organizations understand the dynamics of both supply and demand.
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White Paper
How to Do Deep Learning With SAS® Get an introduction to deep learning techniques and applications, and learn how SAS supports the creation of deep neural network models.
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White Paper
Data Visualization TechniquesA picture is worth a thousand words – especially when you are trying to find relationships and understand your data – which could include thousands or even millions of variables. This paper takes you from the basics of charts and graphs to visualizing big data using SAS Visual Analytics.
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White Paper
Thirsting for Insight? “Unpolluted” data is core to a successful business – particularly one that relies on analytics to survive. But preparing data for analytics is full of challenges. By some reports, most data scientists spend 50 to 80 percent of their model development time on data preparation tasks. SAS adheres to five data management best practices that help you access, cleanse, transform and shape your raw data for any analytic purpose. With a trusted data quality foundation and analytics-ready data, you can gain deeper insights, embed that knowledge into models, share new discoveries and automate decision-making processes to build a data-driven business.
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White Paper
Data Management for Artificial IntelligenceWhen machines learn from exposure to data, the truism of “garbage in, garbage out” for data is truer than ever. Now is the time for executives, particularly the chief data officer, to establish the data management strategy, technology and best practices to ensure success with machine learning.
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White Paper
Cognitive Computing: Analytics and BeyondWith the addition of text and sentiment analytics, predictive modeling and sentiment prescriptive analytics, analytics has taken another leap forward. This paper, by Sue Feldman of Synthexis, explains how cognitive computing helps you understand ambiguous problems while adding accessibility to data for more users.
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White Paper
Closing the OODA Loop: Using Big Data and Analytics to Improve Decision MakingCompress decision cycles and operate proactively by assessing and clearly defining goals and timelines before applying analytics to your most valuable data.
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White Paper
Choosing New Slots? Here’s a Game-Changer.This conclusions paper presents highlights of a SAS webinar showing how a unique combination of data profiling, statistical forecasting and optimization can improve slot floor performance, utilization and patron satisfaction.
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White Paper
Channeling Streaming Data for Competitive AdvantageDiscover how and why innovative companies are transforming business operations by using streaming analytics to extract meaning from live data streams as data is created, and automate reactions to it with millisecond response times.
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White Paper
Sales & Marketing Report 2017 - The Digital ExperienceCGT’s Sales & Marketing Report 2017, sponsored by SAS, looks at progress on several key topics, including supply chain, trade promotion, direct-to-consumer marketing, data and analytics, security and the digital enterprise.
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E-Book
Why choose a career in analytics?Why are analytics careers so hot? A few years ago, a Harvard Business Review article by Thomas Davenport, “Data Scientist: The Sexiest Job of the 21st Century” brought analytics as a career choice into the mainstream. Then there was a recent McKinsey study that predicts 3 million big data jobs will need to be filled in the US alone. Businesses, governments and nonprofits all use analytics every single day. To make decisions. Make a difference. And do more with less. Read this e-book to see where a career in analytics could take you. Your dream job awaits.
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White Paper
Building a Foundation for HR Analytics Valuable insight into what it takes to build HR analytic competency from scratch.
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White Paper
Big Data, Analytics and HadoopSAS and Hadoop are natural partners. Hadoop provides distributed storage and processing power. SAS treats Hadoop as just another data source and complements it with data management, data discovery and advanced analytics. This conclusions paper highlights two ways you can work with Hadoop data from within a familiar and interactive SAS Analytics environment – either with the graphical user interface of SAS® Visual Statistics or streamlined programming via SAS In-Memory Statistics for Hadoop.
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White Paper
Assessing Your Business Analytics Maturity: Eight Metrics That MatterSAS conducted a benchmark survey of more than 260 US companies across all industries to determine each organization’s proficiency across the key metrics. The results of this survey are presented in this paper to provide guidance for short- and long-term efforts needed to enhance analytical effectiveness.
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White Paper
The 3 R’s of AI Adoption: Refactor, Reinvent, ReimagineLearn how organizations are using AI to refactor, reimage and reinvent business as usual. Understand the relative impacts on business process, analytics and data practices, and DevOps at each level of adoption.
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White Paper
The Analytic EnterpriseMaking sense of enterprise data takes the right people with the right skills - and a solid strategy. This paper outlines what successful organizations do to make data work for them.
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White Paper
Workforce AnalyticsThis paper explores how government HR functions can use advanced analytics, machine learning and AI to develop effective plans to meet hiring, retention and performance goals.
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Analyst Report
Gartner Top Strategic Technology Trends for 2023: AI Trust, Risk and Security ManagementLearn why IT leaders must adopt an AI TRiSM to protect their organizations and improve their business outcomes from AI models.
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Article
SASでデジタルトランスフォーメーションを加速し、迅速な意思決定を実現 -
Article
消費者信用業界におけるDX成功の鍵クレジットカード・信販・消費者金融業界の課題を解決するSASの包括的なソリューションをご紹介します。
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Article
非構造化テキストに潜んでいる未利用のポテンシャルテキストは人間が生み出した最大のデータソースです。ソーシャルメディアへの投稿、チャットボットやデジタル・アシスタントとのやり取り、Eメールの送信、オンラインでのビジネス契約、レポートの生成などに伴い、また、コンピューターやモバイルデバイスを用いてその日の想いや活動を事実上 “ドキュメント化” する行為に伴い、その量は日々増大しています。
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Article
チャットボットとは？チャットボットとは、人間とコンピューターのやり取りを簡素化するために設計された会話型AIの一種です。この記事では、チャットボットがビジネスでどのように利用されているか、また、チャットボットをアナリティクス・アプリケーションにどのように組み込めるかを説明します。
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Article
ModelOps： モデル・ライフサイクルを業務運用化する方法ModelOpsとは、分析モデルがデータサイエンス・チームからIT本稼働チームへと所定のサイクルに沿って受け渡され、一定のリズムでデプロイ（業務実装）および更新されるようにするための手法です。ModelOpsは、AIモデルから価値を創出する競争において、ごく少数の企業だけが利用している勝利要因です。
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Analyst Report
Artificial Intelligence In Retail: What Now?This RSR Benchmark Report examines retailers’ attitudes about AI/ML technology and whether it can be used to turn data into insights and help retailers better understand the environments they operate in.
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Analyst Report
SAS is a Leader in The Forrester Wave™: Digital Intelligence Platforms, Q4 2022SAS is a Leader in The Forrester Wave™: Digital Intelligence Platforms, Q4 2022.
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Analyst Report
IDC Spotlight: Looking Beyond the AI Model to Improve the Value of Computer Vision in Manufacturing OperationsThis IDC Spotlight explores the increasing adoption of computer vision (CV) by manufacturers, and how in order to succeed, they must focus on more than just model development, validation and deployment. SAS delivers a comprehensive portfolio of tools, software and resources – integrated into SAS Viya – to develop and deploy CV solutions.
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Analyst Report
IDC MarketScape: Worldwide MLOPs Platforms 2022 Vendor AssessmentSAS is positioned in the Leader's category in the 2022 IDC MarketScape for worldwide machine learning operations platforms.
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E-Book
What’s the new normal in health care?Even before the COVID-19 crisis, health care was changing. But the urgency of the pandemic accelerated change in health care delivery, resource optimization, data-driven thinking and decision making, and much more.
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Analyst Report
Celent: Insurance Fraud Detection Solutions: Health Insurance, 2022 EditionSAS was named a Luminary in Celent's Insurance Fraud Detection Solutions: Health Insurance, 2022 Edition, excelling in both Advanced Technology and Breadth of Functionality.
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Analyst Report
Gartner positions SAS as a Leader in the Magic Quadrant for Data Quality SolutionsGartner positions SAS as a Leader in the Magic Quadrant for Data Quality Solutions.
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Analyst Report
Advanced Analytics Excellence In Discrete ManufacturingThis paper explains how advanced analytics helps discrete manufacturing achieve operational excellence, including potential benefits, the capabilities an organization needs, and how the organization can align with this approach.
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Analyst Report
Maximizing Innovation in Digitally Maturing Process ManufacturingThis report outlines the roadmap that digitally maturing process manufacturers must follow to identify and build the core competencies needed to use transformation as a competitive advantage.
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E-Book
Integrating data. Enhancing decisions. Improving lives. Find out how cloud-based analytics is transforming health care.
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Analyst Report
SAS Explore 2022 Review and AnalysisThis IDC Link focuses on several SAS announcements supporting faster time-to-value for AI/ML model-driven businesses.
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E-Book
Make Every Voice Heard with Natural Language ProcessingNatural language processing: The communication link between human and machine intelligence.
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Article
Digital Transformation in SMBSAS® Viya®は、一つの環境でアナリティクスに必要な機能を全て実現したクラウド対応のプラットフォームです。アジャイルなIT環境に欠かせない高い信頼性、スケーラビリティ、セキュリティを備えたアナリティクス環境とガバナンスを提供することにより、 データ・サイエンティストからビジネス・アナリスト、アプリケーション開発者、そして経営幹部まで、あらゆる人々のニーズに対応します。
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Analyst Report
SAS is a Leader in The Forrester Wave™: Multimodal Predictive Analytics & Machine Learning, Q3 2020.Forrester report states that products evaluated are SAS® Visual Data Mining and Machine Learning and SAS® Model Manager.
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White Paper
The Artificial Intelligence of Things We’re living in a world that has more connected devices than humans. See how AI amplifies the value and potential of this fast-growing Internet of Things.
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White Paper
AIOT: How IoT Leaders Are Breaking Away (IDC Market Report / AIoT Survey 2019)Read the results of a global study conducted by IDC, which revealed that AI and the IoT are having a bigger-than-expected impact – and leaders report that the AIoT is becoming the key to competing effectively.
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White Paper
The secret to IT success? Enabling choice and control SAS can support an organziation's journey toward becoming a data- and analytics-driven organization. We can help unlock the value by enabling with choices that make sense. Plus, we can show organizations how to get the most out of technology investments.
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White Paper
The Talent DividendToday’s organizations understand the value of competing with analytics. But this understanding has triggered a demand for analytics talent that far exceeds supply. Many companies are struggling to attract and retain the talent needed to build competitive advantage. This research report explores the success factors of data-oriented companies who are cashing in on their talent dividends. Discover the hallmarks of analytical maturity and see how your plan for developing, cultivating and retaining analytical talent stacks up.
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White Paper
Using Analytics to Improve Customer EngagementThe MIT Sloan Management Review's eighth annual Data & Analytics Global Executive Study and Research Report has released its latest findings regarding organizational use of analytics. Innovators continue to glean analytical insights, noting the use of data from multiple sources including customers, vendors, regulators and, in some cases, competitors.
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White Paper
Institutionalizing Real-World EvidenceSee the seven key components life sciences organizations must have in place to provide structure to the quest for real-world evidence – and four ways to take it to the next level.
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White Paper
Getting There From Here: Moving Data Science Into the BoardroomStudy after study confirms the obvious: Companies that invest in big data analytics perform at a higher level and are more profitable than their not-so-data-driven counterparts. What data scientists can do to help instill a data-driven culture at the top leadership ranks of the company.
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White Paper
Recommendation SystemsIn this paper, Wayne Thompson, PhD, Manager of Data Sciences Technologies at SAS answers common questions about the types of recommendation systems used today, who uses them and why, and the advantages of using them for businesses today. He also delves into how the underlying technology typically works, with a special focus on SAS capabilities and benefits.
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White Paper
Statistics and Machine Learning at ScaleDiscover how machine learning can be applied to a variety of applications, and learn about the techniques required to help computers learn from massive amounts of data.
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White Paper
The Use of Open Source is Growing. So Why Do Organizations Still Turn to SAS?This conclusions paper summarizes a session at the 2014 Hadoop Summit presented by Brian Garrett, Principal Solutions Architect at SAS Institute Inc. titled, “With the Rise of Open Source, Why Organizations Still Turn to SAS.” In it, he explains why corporate analytics requirements are best served when companies run both SAS enterprise-class analytics solutions and open source solutions together. Garrett explains how these technologies meet different needs and co-exist well. He also highlights recent SAS software enhancements that allow analysts to incorporate R algorithms into analytic processes as part of a comprehensive, enterprise-class SAS analytics platform.
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White Paper
Approachable Analytics With SAS® Web Solutions See how SAS Web solutions enable rapid prototyping of new analytic solutions.
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White Paper
Forecast Value Added Analysis: Step-by-StepThis paper discusses how the forecast value added (FVA) metric can be used to identify waste in forecasting processes and expose factors that diminish accuracy. The author provides detailed instruction on using FVA: from gathering data, to conducting analysis, to effectively reporting the results to management. He also discusses the real-world results of FVA analysis at companies from a variety of industries.
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E-Book
Doing good with government dataFrom child welfare and public health to combating prescription abuse and improving education, analytics is improving government programs around the world.
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White Paper
SAS Analytics and Open SourceExplore how organizations balance open source solutions along with commercial software to meet the requirements for statistical analysis, both within their organizations and externally with regulatory bodies.
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White Paper
Looking Inside SAS® Forecast StudioOrganizations depend on statistical forecasting to provide a solid foundation for many important planning and decision-making processes. SAS Forecast Server, which comprises a graphical user interface (SAS Forecast Studio) and the statistical forecasting engine (SAS Forecast Server Procedures), facilitates and speeds the forecasting process by providing a convenient, user-friendly interface to the large-scale automatic forecasting, model building and time series exploration capabilities available in SAS.
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White Paper
Machine Learning Use Cases in Financial CrimesLearn 10 proven ways machine learning can boost the efficiency and effectiveness of fraud and financial crimes teams – from data collection to detection to investigation and reporting.
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White Paper
The Machine Learning LandscapeThis paper, for novice and intermediate data scientists, talks about the four widely recognized machine learning styles and their common uses, data and modeling methodologies, and popular algorithms for solving machine learning problems.
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E-Book
The Machine Learning Primer This e-book provides a primer on machine learning, deep learning, natural language processing and cognitive computing, as well as 10 best practices and a checklist for machine learning readiness.
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White Paper
Managing the Analytics Life Cycle for Decisions at ScaleLet the SAS Analytics Life Cycle guide you through the iterative process of going from raw data to predictive modeling to automated decisions, faster. This paper tells you how.
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E-Book
Making Sense of AIThis e-book explores the current boundaries of AI, as well as the many ways that modern AI applications can improve our understanding of the world and enable us to make better, faster decisions.
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White Paper
Machine Learning With SAS® Enterprise Miner™Learn how SAS modelers prepared data and applied different machine learning techniques to create and identify the most accurate model for predicting churn using KDD Cup data.
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White Paper
What Management Must Know About ForecastingExplore why forecasts are often wrong and learn about ways to improve them.
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White Paper
Analytics Accelerates Monetization Opportunities for Connected Vehicle and Mobility ServicesLearn how automakers and their partners are using IoT data and analytics to help them reshape business models, seize new sources of revenue and develop inventive ways to better serve customers.
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White Paper
The New Approach to Big, Complex and Always-On DataOrganizations struggling with bigger, more complicated data are finding new ways to turn this information into results. This paper provides a framework to embrace the technological and cultural shifts driving the way we consume and use information.
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E-Book
How Can Retailers Satisfy Today's Customers? With omnichannel analytics, you can use all the data you’re collecting on multiple channels, combine it with product data to improve all retail operations, while also improving the customer experience.
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White Paper
Optimize Your Launch Sequence StrategiesThis white paper explores how the SAS® solution for launch revenue optimization enables global pricing teams to simulate and optimize launch timing and pricing decisions based on the predicted effect on global revenue.
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White Paper
The Power of CollaborationThis white paper explains the need for and value of the collaboration and self-service capabilities that SAS Visual Analytics and SAS Office Analytics provide. It provides how-to specifics for incorporating SAS Visual Analytics results with Microsoft Outlook, Excel, PowerPoint, Word and SharePoint with plenty of screen shots, explanations and architecture diagrams for IT.
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E-Book
Out in the open with analyticsLearn how businesses in multiple industries are combining the benefits of SAS and open source analytics, integrating disparate code and information to deploy models and deliver critical results.
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White Paper
Portrait of a CAOOur latest eBook is an interview and blended profile of a government agency’s first Chief Analytics Officer. While the profiled CAO is fictitious, the ideas, processes and strategies within the book are real and proven. And although the industry focus is government, the eBook offers insights on the challenges and experiences of the CAO in any industry.
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E-Book
Rationalizing Risk in AIOrganizations that wait for AI perfection tomorrow will invariably miss out on its great potential today. Because while risk can’t be avoided entirely, it can be rationalized.
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White Paper
Redefine Your Analytics Journey With Interactive Data Exploration and Predictive AnalyticsWhat if your analytics journey were easier? It can be, in five easy steps. Learn how SAS Visual Analytics and SAS Visual Statistics together can provide a fast, fun way to explore data, build models and find the best performer.
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White Paper
SAS® in the Open EcosystemAnalytics professionals can create, experiment, test and deploy analytics using different methods, languages and skill sets – within one cohesive platform – while IT can easily govern all analytical assets in a centralized manner and scale big data processing power as needed.
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White Paper
SAS® Grid Computing – What They Didn’t Tell YouJoin Austria’s Erste Group Bank on their journey from a monolithic SAS processing environment to a more flexible infrastructure using SAS Grid Manager software.
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White Paper
Structured, Large-Scale Statistical Forecasting Using SAS® Forecast ServerAs forecast accuracy continues to be a key focus area in organizations today. SAS Forecast Server is designed to automatically deliver high-quality statistical forecasts quickly and efficiently. However, in some cases the size and complexity of the business problem requires some tweaking of the settings available in SAS Forecast Server to cater for the specific characteristics of different parts of the data. This paper presents a structured approach to statistical forecasting that is both flexible and uses the full power of SAS® Forecast Server without compromising user friendliness and manageability.
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White Paper
Text Analytics for ExecutivesThis paper looks at how organizations in banking, health care and life sciences, manufacturing and government are using SAS text analytics to drive better customer experiences, reduce fraud and improve society.
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White Paper
Turbo-Charging Spreadsheets -
E-Book
White Paper
Tomorrow's telcoCSPs spend more than 50 percent of their budgets on growing their networks, but few use analytics to guide capacity-planning decisions. Studies and surveys show that churn is a direct result of CSPs not knowing their customers well. How can CSPs learn to do more with less? The answer is advanced analytics.
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White Paper
How Streaming Data Analytics Enables Real-Time DecisionsLearn how SAS provides extremely high-throughput, low-latency technology to meet whatever streaming analytics your company might want to pursue.
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E-Book
Using data to change the worldIt’s clear that data has the power to transform businesses and entire industries, but can it also change the world? When you combine passion and curiosity with analytics – the answer is yes.
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White Paper
Understanding Data Streams in IoTThis paper explains how streaming analytics helps you acquire, understand and use real-time, streaming data to make fact-based, automated decisions – and instantaneously react to new information.
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White Paper
Utility analytics in 2017: Aligning data and analytics with business strategyTo better understand organizational readiness for analytics and key areas of analytic priority in this diverse business landscape, SAS conducted an industry survey. The survey explored the issues and trends that are shaping how utilities are deploying data and analytics to achieve their business goals.
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White Paper
Unleashing the Power of Text Analytics for Travel Discover how text analytics can improve the way your travel organization runs its business – from marketing to operations to revenue management.
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E-Book
Your data scientist hiring guideThis ebook provides a brief guide for data scientist hiring. It offers 20 interview questions, 3 data scientist profiles and tips on building a data science program. The book provides a call-to-action to the data scientist primer page.
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White Paper
ModelOps: Maximizing Value Across the Analytics Life CycleLearn how “ModelOps,” an emerging analytics methodology, can help organizations operationalize the full analytics life cycle at scale.
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White Paper
AI for the CIO: 10 Tips for SuccessThis paper offers 10 tips for the CIO who is knee-deep in digital transformation projects that require deploying AI models at an enterprise scale.
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White Paper
TDWI Checklist Report Analytics for Everyone: Seven Tips for Promoting Analytics AdoptionChecklist Report on democratizing analytics
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White Paper
Four Elements of Sustainability AnalyticsDirectors at consumer-packaged goods manufacturers who embrace sustainability grow their revenue while improving lives and environmental outcomes.
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White Paper
Accelerate Open Source Forecasting With SAS®By running open source forecast models with SAS, organizations can build upon their existing open source strategies in an agile, efficient and highly scalable way.
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White Paper
How the first mile of consumer goods can fight climate changeInnovation via digital transformation in agriculture and consumer packaged goods presents a unique opportunity to capture sustainability and move toward scalable, market-driven improvements in the air, soil and water.
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E-Book
How to Maximize the Impact of your AnalyticsFind out the results of our latest research, which revealed that the use of analytics is continuing to evolve in most organizations and that many organizations are on the path to using analytics strategically.
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E-Book
Building your data and analytics strategyLaunch successful data analytics projects, improve data prep and go beyond conventional data governance. Read on to help your organization become truly
data-driven.
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E-Book
How to Take AI Projects From Start to WinThe four pillars of starting a successful AI program and examples of how other organizations have taken their AI projects from start to finish.
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E-Book
Innovation: From data to businessReport on findings from a global expert interview study on the topic of analytics driven innovation; Peer insights to help navigate the journey from data to innovation.
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E-Book
The New Analytics EcosystemMany organizations are struggling to evolve their current analytics ecosystem, with disparate groups working across multiple technologies and tools. We surveyed more than 1,000 organizations to determine their level of adoption of technology to evolve their analytics ecosystem. In this e-book, you’ll learn the results of our survey and the three approaches to analytics that deserve your attention
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White Paper
Using a Hybrid Open Source and Commercial Analytics EcosystemAs more companies make the move to advanced analytics such as machine learning, they will need to decide whether to use open source, commercial products, or a combination of the two. An analysis in this TDWI report shows there are benefits to utilizing both.
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White Paper
TDWI Best Practices Report | Faster Insights from Faster Dataresearch report on improving speed to insight
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White Paper
How AI Changes the RulesReaping the benefits of AI will require changes in workplace structures, technology strategies and technology governance. Read on to learn more about the changes that leaders must prepare for to successfully implement trusted AI.
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White Paper
AI Momentum, Maturity & Models for Success: Focus on SingaporeAdvances in data and analytics have enabled early adopters of AI to grow beyond experiments and quick hits and provide examples for paths to success with AI.
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E-Book
Mastering Model Lifecycle OrchestrationThis interactive guide describes the stages of the model life cycle and explains why organizations should embrace different programming languages, tools, techniques and runtime environments when developing and deploying models.
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E-Book
Accelerate and improve business outcomes with AIoTOrganizations across multiple industries are using AIoT to improve quality, maximize equipment performance, improve efficiencies and more. Download this e-book to find out how you can reap the same benefits.
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E-Book
Governments leading through changeIn this e-book, SAS has collected the wisdom and stories of the government agencies that are rising to the challenges of our times and applying analytics to drive evidence-based decision making. These stories are pulled from every sector of government and are relevant across all sectors because they each share innovative new ways to respond to a changing landscape.
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E-Book
Formidable ForecastsWith artificial intelligence capabilities and traditional forecasting processes, it’s possible to create efficiencies by automating the production of large-scale time-series analyses and hierarchical forecasts.
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E-Book
Government and education: Leading through changeExplore the collected wisdom and stories of government and education leaders who are rising to the challenges of our times and applying analytics to drive evidence-based decision making.
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E-Book
Streaming analytics: Life happens fast. Are your analytics keeping up?Download this free e-book to find out what streaming analytics is, the unique opportunities it can address and five key success factors for planning your streaming analytics program.
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E-Book
Fearless Decision? The most successful banks of the future will be those who can see their customers as individuals, appreciate their unique journeys and make decisions accordingly — across all associated business functions.
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E-Book
Resilience: The best way to beat coronavirusTo be truly resilient means proactively seeking ways to ensure operational and financial stability no matter the circumstances. In this e-book, we explore digital transformation’s role in reimagining the world beyond COVID-19; how operational agility builds resilience; the five pillars of organizational resilience and more.
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E-Book
What's Next for Life Sciences?The unique challenges of the coronavirus pandemic forced life sciences companies to respond to change more rapidly than ever before. Only the companies that are nimble, innovative and able to act quickly – while maintaining regulatory and scientific standards – will succeed in addressing the immediate needs of the crisis and beyond.
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E-Book
Four Winning Strategies for Digital TransformationDiscover how successful organizations build a coherent analytics and AI strategy to differentiate themselves and seize a competitive advantage.
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White Paper
Unleashing the Power of Text Analytics for HotelsDiscover how text analytics can improve the way your hotel runs its business – from marketing to operations to revenue management.
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E-Book
Transformational decision?Governments can incorporate AI-driven decisioning into existing business processes to take advantage of digital transformation benefits. Through automated processes, deeper insights and the ability to act quickly, governments can innovate service delivery, drive efficiency and help build a better future.
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White Paper
Beyond the Hype: The Hard Work Behind Analytics SuccessWhy competitive advantage from analytics is declining and what to do about it
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White Paper
Getting Value From Your Data ScientistsSimply hiring expensive data scientists isn’t enough. To create real business value with data scientists, top management must learn how to manage them effectively.
Based on a survey of more than 300 analytics professionals (of which about one-third were self-described data scientists) working in different types of US companies, this report describes:
· Why data scientists differ from other types of analysts.
· Seven steps to managing data scientists for business value.
· How analysts and data scientists view their work and their place in the organization.
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White Paper
Adopting AI: The Impacts of AI on ManagementThe AI revolution is no longer the stuff of science fiction – it’s corporate reality. Harvard Business Review’s AI Adoption Insight Center articles on management discuss the reality of AI execution in businesses today and what we’re learning as AI advances.
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White Paper
Adopting AI: Strategic Takes on AI AdoptionA successful AI implementation requires a strong strategy from the beginning. Knowing how and where to fit AI into your business to gain the most benefits is crucial to drive growth.
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White Paper
Adopting AI: Industry PerspectivesFrom self-driving cars to supply chain jobs, detecting crime and changing healthcare, AI promises to transform our business world. The promise of AI is no longer speculative—it’s today’s reality.
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White Paper
Minding the Analytics GapThis MIT Sloan Management Review explores the gap between an organization’s capacity to produce analytical results and its ability to apply them effectively to business issues. The research highlights how managers can become more comfortable making decisions based on complex analytical insights that they do not yet fully understand.
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White Paper
Adopting AI: Linchpins of AI Success - Data Scientists and Their Algorithms The Harvard Business Review’s AI Adoption Insight Center focuses on the the human faces behind the computational and automation advancements that are carrying our world into exciting, uncharted territory.
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White Paper
AI Momentum, Maturity and Models for SuccessSAS, Intel and Accenture, working with Forbes Insights, surveyed business leaders and interviewed thought leaders around the world to identify early adopters and uncover emerging best practices for AI. Find out what they had to say.
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White Paper
TDWI Checklist Report Six Best Practices to Ignite the Customer Experience with IoTcustomer data, IoT
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White Paper
The Autonomous Grid in the Age of the Artificial Intelligence of ThingsExplore how AI and IoT work together to deliver everything from improved threat detection to better customer engagement for utilities.
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White Paper
Artificial Intelligence in Banking and Risk ManagementGlobal Association of Risk Professionals (GARP) and SAS survey drew more than 2,000 responses from across the financial services industry to answer questions about the current and future state of AI in risk.
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White Paper
Data, Analytics & AI: How Trust Delivers ValueThe annual Data and Analytics Global Executive Study with MIT Sloan Management Review looks at how 2,400 global business leaders make decisions based on analytics insights.
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White Paper
Combining Robotic Process Automation and Machine LearningLearn how you can make robotic process automation smart by adding machine learning to it.
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White Paper
Field Experience in Embedded AnalyticsFast-track selected analytics into the could by leveraging expertise, using the latest methods, and focusing on the end state. Find ways to create more business value with analytics in the cloud – and ways to get there faster.
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White Paper
Data Analytics at the Edge451 Research explores the value of diverse IoT data that is processed and analyzed at the edge in environments like T&D facilities, oil fields and manufacturing shop floors.
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White Paper
Data, analytics and machine learning: The new frontier of fraud preventionThe Economist explores how global financial institutions are using advanced technologies such as machine learning to support fraud and security intelligence.
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White Paper
Seven trends that will transform bankingAdvanced analytics and big data are enabling smarter decisions and more efficient processes, from credit to compliance and risk management.
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White Paper
Using Big Data to Enable the Omnichannel Retail ExperienceAs trends in consumer buying patterns continue to evolve, retailers need solutions that can derive deep data analytic insights to provide a more sophisticated, centralized view of their customers’ preferences and buying journeys.
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White Paper
The Next Analytics Age: Artificial IntelligenceWhat management and leadership challenges will the next wave of analytic technology bring? This SAS-sponsored Harvard Business Review Insight Center on HBR.org went beyond the buzz of what machine learning can do, to talk about how it will change companies and the way we manage them.
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White Paper
Business Analytics -- Six Questions to Ask About Information and Competition -
White Paper
Drive Next-Generation Performance With Real-Time Connected Manufacturing This special report sponsored by SAS, Intel and Hortonworks explores how manufacturers are capitalizing on the promise of the IoT, creating new value streams and revolutionizing the relationship with markets.
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White Paper
Drive Next-Generation Customer Experiences with Real-Time Connected Product and Service Analytics SAS, Hortonworks and Intel can help you embrace technologies and processes to anticipate a wide range of customer needs, providing the foundation for next-generation customer experiences.
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White Paper
Machine learning and artificial intelligence in a brave new worldMachine learning in the last few decades has given way to an AI revolution. From self-driving cars to virtual assistants, learn more about the endless possibilities for these developing technologies.
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White Paper
Leveraging data successfully for developmentThe Economist Intelligence Unit conducted a survey of global data scientists and professionals on their use and interest in data analytics. One of the key themes from the research was the desire to improve development using data – ranging from policymaking to education and health care.
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White Paper
From Value to Vision: Reimagining the Possible with Data Analytics -
White Paper
Eight Steps for Using Analytics to Gain Value from Text and Unstructured ContentThis TDWI Checklist Report discusses the relevance of text analytics for improving user experiences with the semi-structured and unstructured textual big data now at their disposal.
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White Paper
BI, Analytics, and the Cloud: Strategies for Business AgilityCloud BI and analytics
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White Paper
SAS®: A Comprehensive Approach to Big Data Governance, Data Management and AnalyticsSAS puts you in charge of burgeoning big data governance issues. See how in this paper by Sunil Soares.
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White Paper
The Risks and Rewards of AIExploring the rise of AI, Harvard Business Review has published a collection of articles assessing the opportunities and pitfalls that could evolve, with discussions on the innovative uses of data and analytics, industry adoption, impacts to human work, and the factors of business change.
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White Paper
TDWI Checklist Report: Seven Steps for Executing a Successful Data Science StrategyThis TDWI Checklist Report describes seven steps to get started on the path to a successful data science strategy. Data science is a hot topic among business and IT leaders. However, excitement about its potential benefits is tempered by the difficulty of finding, hiring and training data science personnel – not to mention defining the term within the context of your organization
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White Paper
Advanced Analytics: Moving Toward AI, Machine Learning, and Natural Language Processingadvanced analytics, artificial intelligence, machine learning, natural language processing
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White Paper
TDWI Navigator Report: Predictive AnalyticsPredictive Analytics
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White Paper
Predictive Analytics: Revolutionizing Business Decision MakingThis TDWI e-book explores predictive analytics from several perspectives. First, it offers Q and A on the value, use and requirements of predictive analytics. Then, it explores three safeguards to help you avoid model-building problems.
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White Paper
Accelerating the Path to Value with Business Intelligence and AnalyticsBI and Analytics Accelerating Value
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White Paper
Operationalizing and Embedding Analytics for ActionOperationalizing and Embedding Analytics
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E-Book
5 Steps to Accelerate Value From Your Industrial IoT Data This e-book features five steps industrial leaders can follow to get more value from IIoT data. It describes how to craft a comprehensive IIoT strategy, what to look for in an edge-to-enterprise analytics solution, and how to evaluate IIoT solutions.
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White Paper
Watching out for Worst PracticesBased on results from an IDG Research Services study, this paper explores how organizations are leveraging unstructured data – and what they must avoid.
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White Paper
Using Next-Generation Advanced Analytics to Harness Big DataDiscover why Heavy Reading recommends using advanced analytics from proven vendors to obtain real-time intelligence from all your big data.
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White Paper
What Makes a Data Scientist Great?A collection of interviews with top data scientists, who talk about problem solving, creative approaches to data, tenacity and the surprising importance of relationships.
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White Paper
Analytics as a Source of Business InnovationCompetitive advantage from analytics is changing, and for the better. For the first time in four years, MIT Sloan Management Review found an increasing ability to strategically innovate with analytics based on interviews with more than 2,600 practitioners and scholars globally.
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White Paper
The Analytics MandateBased on interviews with more than 90 executives, this research paper examines how organizations can step up their analytics game by rethinking their organizational culture. Readers will learn how leading companies have improved their decision making with analytics, as well as actions they can take to develop a stronger analytics-based culture.
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White Paper
Eight Considerations for Utilizing Big Data Analytics with HadoopThis paper focuses on eight considerations when it comes to applying big data analytics to extract value from Hadoop. Readers will learn about the importance of in-memory analytics, how to optimize the data preparation processes and the skill sets needed to derive benefits from Hadoop.
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White Paper
Next-Generation Analytics and PlatformsWhat if you could move from data visualization to big data visualization? From slicing and dicing data to using analytics to predict outcomes? From using more than just structured data for analysis? This TDWI Best Practices Report focuses on how organizations use next-generation analytics to achieve this and more.
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White Paper
Overheard: 5 Questions IT leaders are really asking about SAS® and Microsoft AzureHow does SAS Viya work on the cloud – and on Microsoft Azure in particular? Get answers to five of the most frequently asked questions so you can you reach the right decision for your organization faster.
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E-Book
Powering Health Innovation with AIThere is no doubt: AI has the potential to transform health care. The most recent SAS Hackathon showcased how the transformative power of analytics can spark health care innovation. The Hackathon was entirely conducted on a Microsoft Azure cloud infrastructure to facilitate the agile analysis and visualization of big data.
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White Paper
What is the best path forward?Mathematical optimization finds the best courses of action through multiple variables and conflicting constraints.
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E-Book
The Innovator's Flight Plan to AIAs an emerging technology, AI is naturally associated with innovation. Many organizations are using AI to develop new products and business models, and to improve their business processes.
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White Paper
The Total Economic Impact™ of SAS® Viya® on AzureA Forrester Total Economic Impact Study on the cost savings and business benefits enabled by SAS Viya on Azure.
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E-Book
Augmented Analytics: The secret ingredient to better business intelligenceAugmented analytics breaks down the limitations of
business intelligence (BI) and brings forward insights
from data using AI and machine learning.
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White Paper
Unified Platforms for Modern AnalyticsBest practices report about unified analytics platforms from TDWI.
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E-Book
Data scientists use SAS Viya on Microsoft Azure to develop big innovationsThis e-book features top solutions showcasing how global Hackathon teams used SAS Viya on Microsoft Azure to develop innovative approaches that save time, money, and entire ecosystems, such as the world's coral reefs.
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White Paper
SAS® Analytics on Azure: Four Steps to Success with the Cloud Adoption FrameworkTransform your business with SAS® Viya® on Azure. Learn about the four key steps to success as organizations work to harness, access, understand and lead with big data and artificial intelligence to become top performers in their market.
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Analyst Report
IDC MarketScape: Worldwide Responsible Artificial Intelligence for Integrated Financial Crime Management Platforms 2022 Vendor AssessmentLearn why SAS is positioned in the Leaders category in the 2022 IDC MarketScape for worldwide responsible artificial intelligence for integrated financial crime management platforms.
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Analyst Report
SAS is a Leader in the 2022 Gartner® Magic Quadrant™ for Multichannel Marketing HubsSAS is a Leader in the 2022 Gartner® Magic Quadrant™ for Multichannel Marketing Hubs.
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Analyst Report
The Total Economic Impact™ Of SAS Viya On AzureMicrosoft and SAS commissioned Forrester Consulting to conduct a Total Economic Impact™ study and examine the potential return on investment enterprises may realize by deploying SAS Viya on Azure.
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Article
AIマーケティング： どのような未来を秘めているのか？AIマーケティングとは、人工知能（AI）とアナリティクスを活用してリアルタイム・パーソナライゼーションでカスタマー・エクスペリエンスを強化しながら、マーケティング結果の改善を図る取り組みのことです。
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Analyst Report
SAS is a Leader in The Forrester Wave™: Customer Analytics Technologies, Q3 2020.SAS® Customer Intelligence 360, which helps craft compelling next-best experiences tailored to wherever customers are in their journeys, is named a Leader in The Forrester Wave.
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Analyst Report
Aite Matrix: Leading Fraud & AML Machine Learning PlatformsSAS is a best-in-class vendor in the most recent AiteNovarica report, Aite Matrix: Leading Fraud & AML Machine Learning Platforms.
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Analyst Report
Data-Driven Grid Reliability: IoT Sensing and Analytics to Enable Predictive Maintenance and Improve ResiliencyLearn how the emergence of artificial intelligence, IoT sensors, advanced analytics and predictive maintenance within utility distribution systems can significantly improve reliability and build resiliency in the power grid.
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Article
SAS アカデミック向け 統計ソフトの決定版｢SAS Analytics Pro｣学位授与高等教育機関の教育・研究用途限定、価格メリットの大きいオールインワンパッケージ アカデミック向け統計ソフトの決定版｢SAS Analytics Pro｣をご紹介いたします。
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Analyst Report
dbInsight: SAS Viya is living large on AzureLearn how Azure provides the onramp to a new customer base to take advantage of SAS capabilities without having to make big enterprise software commitments.
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Article
大和証券の成約率を2.7倍にしたAI×マーケティング膨大な個人顧客と多種多様な商品、顧客接点を持つリテールビジネスにおいて、その都度「次の最善な一手」を導き出し続けるのは容易ではない。営業担当者の「経験」や「勘」だけに頼れば、結果的に顧客に提供するサービスの質にもバラつきが発生しかねない。大和証券ではこうした課題を解決し顧客満足度を向上させるために、AI技術を導入した。
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Analyst Report
SAS is a Leader in The Forrester Wave™: Streaming Analytics, Q2 2021Forrester says, "SAS Event Stream Processing (ESP) stands out in this evaluation as the platform with the most built-in analytics for machine learning and other advanced analytics."
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Analyst Report
Bloor InBrief: SAS Streaming AnalyticsLearn why Bloor considers SAS a major contender in the market for streaming analytics platforms due to SAS’ differentiating analytic capabilities, notable performance and continuous improvement of in-stream models using machine learning.
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Customer Story
Smart city uses analytics and IoT to predict and manage flood eventsThe Town of Cary, NC teams up with SAS and Microsoft to protect citizens from flooding, safeguard watersheds and support environmentally sound development.
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Customer Story
Municipality puts wireless water meter-reading data to work -
Webinar
ストリーミング環境におけるアナリティクスと意思決定（英語）SASの専門家が、最新のSAS Event Stream Processingテクノロジーの概要と、よりリアルタイム性の高い行動／アクションの実現に向けて意思決定を改善するためにアナリティクスを活用する方法をご紹介します。
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Article
サプライチェーンの成功のためにAIと機械学習を活用する方法 -
Customer Story
AIでマーケティング・キャンペーンを革命Alliant社は、機械学習を活用して顧客企業向けに有望なマーケティング対象者データを生成しています。
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Customer Story
人工知能（AI）とIoTアナリティクス、重要なミッションを担う航空機の運行維持に貢献Lockheed Martin社は、SAS Platformで航空機の保守整備を革命的に改善しています。
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Customer Story
ガン治療、人工知能（AI）で新たな時代に突入Amsterdam UMC（アムステルダム大学メディカルセンター）では、SAS PlatformとAIソリューションを活用して腫瘍評価の速度と精度をともに向上させています。
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Article
オープンなAIプラットフォーム - SAS ViyaSAS® Viya®は、一つの環境でアナリティクスに必要な機能を全て実現したクラウド対応のプラットフォームです。アジャイルなIT環境に欠かせない高い信頼性、スケーラビリティ、セキュリティを備えたアナリティクス環境とガバナンスを提供することにより、 データ・サイエンティストからビジネス・アナリスト、アプリケーション開発者、そして経営幹部まで、あらゆる人々のニーズに対応します。
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Customer Story
IoTデータと人工知能（AI）の融合が稼働停止時間を削減し、追跡管理の向上にも効果を発揮Volvo Trucks社とMack Trucks社では、センサーデータとSASのAIソリューションを活用して、画外の稼働停止時間を最小化しています。
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Customer Story
デジタル小売企業がアナリティクスを活用して記録的な売上を達成Shop Direct社は、SASを活用してパーソナライズされたカスタマー・エクスペリエンスを提供し、数々の業界アワードを受賞しています。
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Article
5大AIテクノロジー人工知能（AI）と機械学習の違いをご存知でしょうか？また、コンピューター・ビジョンがAIテクノロジーの下位分野である理由を説明できるでしょうか？その答えは、この簡潔な説明の中で見つかります。
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Customer Story
Finding your best customers with machine learningSeacoast Bank enhances customer value using AI and SAS Visual Analytics on SAS Viya.
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Customer Story
SAS を使って需要と伝送ニーズを予測する電力組合NOVEC, a regional electricity cooperative, relies on SAS to forecast demand for power as well as for future infrastructure needs.
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Article
すばらしい新世界における機械学習と人工知能What is the interplay between man and machine in a brave new world with AI?
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Article
和歌山県データ利活用コンペティション次世代の日本を担うデータサイエンティストを育成すべく全国の高校生及び大学生等を対象として開催される「第2回和歌山県データ利活用コンペティション」では、SASと伊藤忠テクノソリューションズ株式会社が共同で協賛し、コンペティションの参加者に「データサイエンス教育プラットフォーム」を提供します。
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Webinar
Real-Time Connected Customer Experiences – Easier Than You ThinkGrowth in today’s hyper competitive marketplace is driving intense focus on digitally transforming the customer experience – and for good reason.
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Blog Post
機械学習のパラメータをオートチューニング機械学習で予測モデルを作るとき、課題のひとつにパラメータのチューニングがあります。このチューニングを自動で行ってくれる夢のような機能が、SAS Viya のオートチューニングです。
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Blog Post
人工知能：ブームと現実を切り分けて認識するためにAIは “機械に更なるスマート性を” 組み込むために役立っていますが、世界を征服しつつあるわけではありません。私たちはAIに何を期待すべきでしょうか？
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Blog Post
機械学習アルゴリズム選択ガイド機械学習に取り組み始めた時にまず感じる疑問は「どのアルゴリズムを使えばよいのか？」でしょう。機械学習アルゴリズムには多くの種類があり、そのすべてを熟知している人以外は、なかなかすぐに最適なアルゴリズムを選択できません。ここでは、目的に最適なアルゴリズムを見つけ出すためのチートシートを紹介します。
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Blog Post
SAS Viyaを体感してみよう！ ～SAS Viya無償試用版利用ガイド～SAS Viya無償試用版利用ガイドのダウンロード手順をご紹介いたします。
*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.
**Gartner Magic Quadrant for Data Science & Machine Learning by Peter Krensky, Carlie Idoine, Erick Brethenoux, Pieter den Hamer, Farhan Choudhary, Afraz Jaffri, Shubhangi Vashisth, March 1, 2021.
GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and is used herein with permission. All rights reserved.