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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ホワイトペーパー
The road to integrationHow far along are financial institutions on their AI and machine learning adoption journey, and where might these technologies deliver the most value?To find out, SAS partnered with the Association of Certified Anti-Money Laundering Specialists (ACAMS) and KPMG to survey more than 850 compliance professionals and ACAMS members. This report provides a snapshot of the survey results, including: · How many institutions are using AI and ML, including GenAI.· Reasons for adopting (or not adopting) these technologies.·How far along those surveyed are on their integration journey.
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e-Book
What are ready-made AI models? And why you need them.E-Book on SAS Models. This comprehensive resource will serve as the foundation for an engaging, interactive web experience.
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〓分析◆アナリスト・〓レポート
SAS is a Leader in The Forrester Wave™: Anti-Money Laundering Solutions, Q2 2025SAS Anti-Money Laundering, which helps fight money laundering and terrorist financing with AI, machine learning, intelligent automation and advanced network visualization, is named a Leader in The Forrester Wave.
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ホワイトペーパー
Revealing the paths to 2040: global insurance survey reportGlobal insurance leaders are grappling with disruption and uncertainty. Consider extreme weather events and the new global record for insured losses due to natural catastrophes. How will that affect risk models and pricing? As the protection gap grows, what can (and should) insurers do to address it? With the staggering amount of data that’s available, how can insurers use advanced technologies like AI and generative AI to drive product innovations and operational efficiencies? To answer questions like these, Economist Impact (sponsored by SAS) surveyed more than 500 insurance executives in September and October 2024. Organizations of all sizes and types responded. The results show that amid the challenges, there’s room for cautious optimism. Delve into the survey results to see how leaders responded to questions, such as: Which trends will have the most impact over the next decade – and which pose the biggest risks and opportunities? What’s the key to staying ahead of industry trends and accelerating the business? What are internal and external barriers to success? Which technologies are driving the biggest industry changes?
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ホワイトペーパー
Revealing the paths to 2040: four possible scenarios for insuranceFrom extreme weather events and natural disasters to geopolitical volatility and shifting demographics, insurers face increasing numbers and varieties of disruptions and uncertainties. At the same time, longstanding risk models are upended by rapid technological advances and evolving market needs. Opportunities abound – but the future is unclear.This Economist Impact report, informed by expert interviews and an analysis of megatrends, presents insurers with four possible scenarios for the world in 2040. Each path forward describes a potential future, reflecting two main drivers of change: – Pace of technological evolution.– Level of global cooperation. How will insurance evolve? Challenge your assumptions as you delve into these scenarios, considering along the way how you should prepare.
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ホワイトペーパー
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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ホワイトペーパー
Data and AI Present Significant Opportunities for Social Benefits SystemsIn today's rapidly evolving world, social benefits agencies, across the globe, face unprecedented challenges and opportunities. This report, authored by the International Institute for Analytics together with SAS experts, delves into how data and AI can revolutionize social benefits systems, making them more inclusive, efficient, innovative, and personalized.Key Takeaways:Addressing Disruptive Forces: Learn how changing demographics, growing public expectations, and increasing fraud threats are reshaping social benefits agencies and how data and AI can help overcome these challenges. Enhancing Payment Integrity: Discover advanced solutions to detect and prevent fraud, ensuring that benefits reach those truly in need while safeguarding public resources. Boosting Productivity: Explore how automation and AI can streamline processes, reduce administrative burdens, and free up staff to focus on more meaningful work. Improving Service Delivery: Understand the importance of digitizing services and providing personalized, multi-channel support to meet diverse recipient needs. Driving Data-Driven Decisions: Gain insights into building a robust data foundation, leveraging analytics, and fostering a data-driven culture within social benefits agencies. This paper helps to guide a roadmap for leveraging data and AI to create a more responsive, productive, and equitable social benefits system. Register here
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e-Book
Data-driven health careThe use of technology and data in the health care ecosystem continues to evolve. An extreme emphasis has been placed on digital health, AI, and the need for interoperability across various stakeholders in the healthcare ecosystem. Interoperability of different health care systems and devices to seamlessly exchange information is crucial to provide stronger health outcomes and patient engagement opportunities, enhance patient safety and operational efficiency, and reduce duplicated effort and potential for error.Discover how health care powered by data and technology will be the springboard to the future.
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〓分析◆アナリスト・〓レポート
SASは、The Forrester Wave™: AI Decisioning Platforms、2023年第2四半期のリーダーと評価The Forrester Wave™: AI Decisioning Platforms（2023年第2四半期）は、意思決定のための世界トップクラスのアナリティクスをシームレスに統合しているSASを評価しています。
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e-Book
5 Tips for Using GenAI to Improve Customer ExperienceImagine predicting customer needs, automating tasks and generating personalized content — all while improving your bottom line. Generative AI is reshaping how businesses use data, enabling smarter decisions and streamlined operations. This guide offers actionable advice on how to harness GenAI's full potential, covering key tips for data management, governance and transparency. Ready to transform your business? Download the e-book now to discover how SAS and AWS can help you harness the power of GenAI.
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e-Book
Five reasons developers hit a productivity wall – and what to do about itThis e-book from SAS and AWS takes a closer look at the productivity obstacles developers face and how they can be overcome with the help of SAS Viya Workbench. Make productivity blockers a thing of the past.
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ホワイトペーパー
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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ホワイトペーパー
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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ホワイトペーパー
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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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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e-Book
How to govern your AI strategy in a highly regulated worldIt’s no longer a case of “if” an organization adopts AI but “when.”
The technology is rapidly advancing and transforming the workplace and society at large, but it comes with risks. That’s where governance comes in. Governance is essential to the reliable, transparent and ethical performance of AI. But the clear lack of oversight of the technology is putting many organizations at risk of noncompliance with incoming regulations around AI, such as the EU AI Act.
This e-book will reveal:
· Why AI governance is so important and what successful governance looks like.
· The five key drivers for implementing AI governance today.
· The risks of poor governance and growing regulatory pressure.
· A practical approach to implementing AI governance.
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ホワイトペーパー
Boosting Tax Agency Productivity and Protection with AI and Generative AIGenerative AI (GenAI) technology is gaining momentum rapidly, not just in businesses and government agencies, but also among those trying to defraud them. Tax agencies have potentially valuable uses of GenAI in process productivity, taxpayer service, and staying ahead of fraudsters by augmenting fraud detection and threat simulation. Given the new and sometimes uneven capabilities of GenAI, agencies should be approaching it with both purpose and caution. To explore these opportunities and threats, IIA spoke with SAS global tax and revenue compliance experts Teya Dyan, Principal Industry Consultant, based in North America, Ensley Tan, Principal Industry Consultant, based in Asia Pacific, and Alexandre Negadi, Senior Industry Consultant, based in Europe.
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e-Book
Your journey to a GenAI future: A strategic path to success in health careGenAI is at the forefront of global health care innovation and is here to stay. Health care organizations at large are leaning into the promise of advanced technologies with the intent to streamline operations and deliver stronger health outcomes for patients all over the world. But in a highly regulated, protected and data-sensitive sector, how is this technology being used? And how will health care organizations keep patient data safe while implementing cutting-edge technologies like GenAI?
In this report, you’ll discover:
• How health care organizations are approaching GenAI adoption compared with other sectors.
• The specific areas where health care already sees GenAI drive results – and where they’re still navigating uncertainty.
• How GenAI investments in health care stack up against other sectors and where these industries are placing their bets.
• Practical strategies to overcome the challenges of GenAI implementation, ensuring you maximize your return on investment (ROI) and stay ahead of the curve.
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e-Book
Public procurement integrity at riskFraud, waste and abuse (FWA) take many forms, from duplicate invoices, ghost vendors and fake invoices to overbilling billing for goods. This e-book explores the procure-to-pay lifecycle, obstacles to spotting FWA, how to strengthen government procurement, hat's possible in the real world and how a data and AI-driven approach leads to greater productivity.
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e-Book
The Streaming Analytics Scaries: What they are and how to get over themThis e-book addresses the top five factors holding back most asset-intensive companies when it comes to implementing and taking advantage of streaming analytics. Read it, put the scaries to rest, and start delivering more value and insight in ways few in your organization may have ever thought possible.
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e-Book
Your journey to a GenAI future: A strategic path to success in life sciences and pharmaAs generative AI continues to make waves across both headlines and boardrooms, the life sciences industry is unlocking new possibilities that could reshape the future. This sector, known for managing vast, intricate data sets and safeguarding sensitive patient information, is poised to harness GenAI for groundbreaking advancements. In life sciences, GenAI isn’t just a buzzword – it’s a game changer with the potential to revolutionize innovation, productivity and patient care.
Our latest insights on GenAI come from a comprehensive survey of 1,600 organizations across the globe, offering a deep dive into how different industries are approaching GenAI. Specifically, we focused on the responses of 237 senior life sciences leaders who are at the forefront of shaping GenAI, data and analytics strategy.
In this report, you’ll discover:
• How the life sciences industry is leading or lagging in GenAI adoption compared with other sectors.
• The specific areas where the industry is already seeing GenAI drive results – and where it is still navigating uncertainty.
• How GenAI investments in life sciences stack up against other sectors and where the industry is placing its bets.
• Practical strategies to overcome the challenges of GenAI implementation, ensuring you maximize your return on investment (ROI) and stay ahead of the curve.
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IDC MarketScape: Worldwide Machine Learning Operations Platforms 2024 -
e-Book
Real-Time Hyperpersonalization in HospitalityIn this era where one-size-fits-all approaches are becoming obsolete, real-time personalization is transforming the guest experience. By using advanced predictive analytics and machine learning, cruise operators can now craft and optimize next-best offers tailored to each guest's unique preferences and behaviors. This cutting-edge approach enhances every aspect of the journey, from dining and entertainment to shore excursions and onboard shopping.
This e-book explores how modern cruise lines are harnessing the power of real-time data processing and advanced analytics to create seamless, personalized experiences. You'll learn more about Norwegian Cruise Line's success story, exploring how technologies like SAS Event Stream Processing and SAS Machine Learning can turn vast amounts of data into actionable insights, setting new standards for personalization to not only elevate guest satisfaction but also drive significant business value.
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e-Book
A Comprehensive Approach to Trustworthy Data and AI GovernanceAI is revolutionizing human life and unlocking a whole new world of innovation. As AI becomes more prevalent, it will affect nearly every aspect of society from our professional to personal lives. Organizations that can demonstrate responsible and ethical use of AI are more likely to be commercially successful. This is where Trustworthy AI – a system designed to ensure safety, reliability and ethical practices – can help.
Trustworthy AI is an AI system designed, developed and deployed with human-centricity in mind. These systems incorporate appropriate levels of accountability, inclusivity, transparency, completeness and robustness to promote human agency and prevent human harm.
In this eBook you will discover:
The business need for ethics in AI
Why you should embrace Trustworthy AI
How to establish Trustworthy AI governance
The 6 SAS principles to guide your Trustworthy AI strategy
How the SAS Data Ethics Practice supports Trustworthy AI
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ホワイトペーパー
Solving the public services productivity puzzleIn Global Government Forum’s survey, 91% of public service respondents said they face a productivity challenge, with 56% characterizing it as significant or very significant.
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e-Book
Marketers and GenAI: Diving Into the Shallow EndMarketers are leading in GenAI use, but it’s only surface level. What’s needed to take the next step?
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e-Book
Your journey to a GenAI future: An insurer’s strategic path to successThe insurance industry is rapidly embracing generative AI technology, recognizing its extraordinary capabilities through high rates of personal and organizational usage. Overwhelmingly, insurance companies around the globe plan to invest in GenAI over the next year, and most have a dedicated budget in place. Yet many lack sufficient budgeting for GenAI governance, and most governance frameworks are still in development.
Recent research compiled survey results from 1,600 global organizations across a wide range of sectors. In this report, we drilled down to the 236 respondents who are senior decision makers in GenAI strategy or data analytics in the insurance sector.
Read the results to understand insurance firms’ unique perspectives on GenAI – including how the industry compares to other sectors, how you can proactively prepare for implementation challenges, what the most promising business opportunities are, and which issues are the top concerns.
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ホワイトペーパー
From Data to Decision: Increasing AI Productivity with SAS ViyaFuturum is running benchmark studies on productivity advantages of SAS vs. opensource and other vendors. This Futurum Lab Report will be part of the Just the Facts campaign.
PLN_27165
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e-Book
Your journey to a GenAI future: A strategic path to success for governmentAs generative AI (GenAI) accelerates into the mainstream, organizations of every kind are seeing the transformative potential of the technology. Many government organizations handle huge data sets, hold sensitive personal information and synthesize details about entire populations. For government, GenAI could create a paradigm shift in productivity and capability.
Our research findings are based on a new survey of 1,600 organizations from a wide range of sectors worldwide. To better understand the unique perspectives that government organizations have about GenAI, we examined the responses from the 237 senior leaders who are responsible for making decisions on GenAI strategy or data analytics.
This report uncovers:
• How governments are implementing GenAI compared to other sectors.
• Which areas governments are already seeing the benefits of GenAI and where they feel less confident.
• How government investment stacks up against other sectors and where it’s being spent.
• How you can proactively prepare for the challenges of implementing GenAI to ensure a strong ROI
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〓分析◆アナリスト・〓レポート
IDC MarketScape: Worldwide Decision Intelligence 2024 -
〓分析◆アナリスト・〓レポート
ARC View: Industrial-grade AI: Transforming Data into Insights and OutcomesThis ARC View report explains how organizations can not only start realizing immediate returns from their Industrial AI initiatives, but also ensure that their investments remain future-proof.
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SAS is a Leader in The Forrester Wave™: AI / ML Platforms, Q3 2024 -
〓分析◆アナリスト・〓レポート
2024 Gartner® Magic Quadrant™ Data Science and Machine Learning -
ホワイトペーパー
Pioneering Ethical AI: The Crucial Role of Property and Casualty InsurersInsurers have long been global leaders in addressing risks and protecting people and businesses. As artificial intelligence continues to revolutionize how business gets done, it is redefining how insurers can deliver on their promises. Read this paper to learn from industry veterans and AI experts alike about:
• The state of AI regulations globally.
• The multifaceted role insurers can play in developing AI ethics.
• Why insurers are uniquely qualified to use AI (and GenAI) – and how they’re using these technologies today.
• An approach to an ethical AI framework that any insurer can follow to establish their own AI narrative.
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e-Book
On the Road to Accelerating Claims AutomationMore than ever, insurance companies need to provide customers with seamless interactions that save them time, minimize hassle, and make them feel seen, understood, and cared for. Many are also exploring the use of AI for claims prevention – for example, by creating new risk mitigation services. All of this requires investment in digital technologies that work together to enable intuitive, Amazon-like customer experiences. This ebook explores how insurers can make the leap to digitally transformed, intelligent claims processes that customers love and increase operational efficiency and reduce costs.
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ウェビナー
AI in Health Care: Enhance Clinical and Operational Decision MakingAI is revolutionizing the health care sector. Join SAS and Microsoft to explore innovative AI solutions for better patient outcomes and efficient care delivery.
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ホワイトペーパー
How to realize value from cloud analytics faster — and with less cost and riskIn just a few years’ time, analytic and AI models have gone from being on-premises “pet projects” and proofs of concept to high-volume mission-critical technologies developed and deployed in the cloud to support business decisions at scale. But as Foundry’s survey reveals, most IT departments haven’t evolved how they will support and enable the new world of cloud analytics at scale.
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e-Book
Enabling trusted AI and data-driven decisions at scaleDiscover how successful organizations build a coherent analytics and AI strategy to differentiate themselves and seize a competitive advantage.
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ホワイトペーパー
Top 5 insurance problems – and AI isn’t one of themAs all players in the insurance ecosystem know – insurers to reinsurers, GSIs and regulators – the industry faces a multitude of daunting business problems today. In this paper, we discuss five of the most pressing insurance problems, how they affect communities around the world, and obstacles that can get in the way of solving those challenges. Read the paper to learn how insurers can use AI to identify and solve far-reaching issues. And learn why it will take the entire insurance ecosystem to course correct on business results, climate risk, AI safety and governance, and more.
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e-Book
Intelligent decisioning in governmentGovernments 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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e-Book
Government navigating an uncertain worldHow governments can harness data,
advanced analytics, and trustworthy AI to
prepare for the unexpected—and respond
faster to protect and improve citizens’ lives.
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ホワイトペーパー
How will generative AI influence forecasting software?Delve into what potential applications of AI, particularly large language models (LLMs) within a forecasting support system (FSS), along with identifying obstacles to the widespread adoption of these technologies.
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ホワイトペーパー
Generative AI in Health Care: Opportunities and CautionsLearn how GenAI will affect all aspects of health care, from cost containment to patient care., and the importance for organizations to recognize both the potential and the limits of this new technology and be alert to how it’s being used to perpetrate fraud.
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Ready to see results from your actuarial investments?More than 88% of actuaries say SAS has improved their way of working. Benefits include reduced operational costs, improved scalability of the actuarial process, portfolio optimization and faster premium deployment.
Want to learn more? Check out four scenarios we developed to illustrate the benefits insurers could potentially achieve based on their company size, structure and other variables. These examples represent potential benefits only and do not guarantee any certain result or compliance goal.
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〓分析◆アナリスト・〓レポート
SAS is a Leader in The Forrester Wave™: Customer Analytics Technologies, Q2 2024SAS® 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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e-Book
Detect and halt risky payments across the life sciences supply chainCut fraud, waste, error and abuse with a data-driven approach to payment integrity
It’s estimated that 4.57% of the total annual procurement spending in the private sector is lost to fraud and error. What would be the impact to life sciences organizations if you could stop that flow of cash out of the business? Even for smaller organizations, improving payment integrity could free up significant capital for strategic investments. In R&D, for example, it could free up funds for strategic acquisitions or returning cash to shareholders.
In this e-book, we’ll look at how a smarter, more data-driven approach to payment integrity helps life sciences companies gain faster and deeper visibility into their spending across R&D, manufacturing and distribution. A data-driven approach also helps highlight potential anomalies in real time for investigation by human experts.
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記事
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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e-Book
Rising Waters and Rapid ResponsesGet an insider’s view of the tools and strategies that some leaders in flood management are already deploying to better protect their citizens, as well as case studies that show how these approaches work in real-world applications.
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e-Book
The insurance data and AI revolutionInsurers face continual disruptions these days as they respond to price sensitivity, the push for sustainable practices, evolving regulations, climate change issues and all types of heightened risks. How should they respond?
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〓分析◆アナリスト・〓レポート
SAS named a Challenger in Gartner® Magic Quadrant™ for Augmented Data Quality SolutionsSAS named a Challenger in Gartner® Magic Quadrant™ for Augmented Data Quality Solutions.
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〓分析◆アナリスト・〓レポート
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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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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e-Book
Integrating data. Enhancing decisions. Improving lives. Find out how cloud-based analytics and AI is transforming health care.
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〓分析◆アナリスト・〓レポート
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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〓分析◆アナリスト・〓レポート
Gartner® Voice of the Customer for Analytics and Business Intelligence PlatformsSAS has been recognized in the 2023 Gartner® Voice of the Customer for Analytics & Business Intelligence Platforms.
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〓分析◆アナリスト・〓レポート
Gartner® Top Strategic Technology Trends for 2024: 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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ユーザー事例
データ収集とモデリングの改善により、予測医学の取り組みを加速Dompé farmaceutici社は、予測分析（予測的アナリティクス）と定量的疾患モデリングのためにSASを活用しています。
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ユーザー事例
データを追加するだけ： データとテクノロジーは ── 人間味との組み合わせにより ── サステイナブルで質の高い料理体験をどのように生み出すのか？世界最大のパスタメーカーであるBarilla社は、高度なアナリティクスとAIを活用して全世界の在庫を追跡し、受注・配送を最適化することにより、急増する需要に対応しています。
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ユーザー事例
高度なアナリティクス、新しい税制措置の市民への影響を判断する政策立案者の取り組みに貢献ベルギーの財務当局は、検討中の税制改革案が生み出す “勝者” と “敗者” を、法規の制定前に確認しています。
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e-Book
Data at the heart of the gameLearn how the French national team uses SAS Viya to deliver results that propel it to the global forefront of sports technology.
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ユーザー事例
潜在的なトラブルスポットを特定フロリダ州矯正局（Florida DOC）は、市民の安全改善を促進するためにSAS Analyticsの導入に踏み切りました。
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SAS® Product Security FrameworkUnderstand the SAS Product Security Framework and the security protocols and processes that SAS uses.
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Artificial Intelligence for ExecutivesThis paper outlines the SAS approach to AI and explains key concepts. It also provides process and implementation tips if you are considering adding AI technologies to your business and analytical strategies.
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e-Book
Empower your analytics in the cloudFive use cases for using SAS® Viya® on Microsoft Azure.
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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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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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ウェビナー
From Idea to Action: The Keys to Real-World Evidence and AnalyticsReal-world data is the latest industry buzz, but is it that valuable? Without the power of analytics, it might not be.
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〓分析◆アナリスト・〓レポート
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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記事
A framework for analytics governanceFind out why governance is the critical last mile for analytics – and learn what you can do to make sure all your analytics projects are accurate, aligned and worthwhile.
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〓分析◆アナリスト・〓レポート
Matrix: Leading Fraud & AML Machine Learning PlatformsSAS is a best-in-class vendor in the most recent Datos Insights report, Matrix: Leading Fraud & AML Machine Learning Platforms.
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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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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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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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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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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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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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Performance at Scale: Comparing AI/ML Performance of SAS Viya vs. AlternativesAI/ML Performance Comparison: SAS Viya vs Competitors.
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〓分析◆アナリスト・〓レポート
SAS Inside Intelligence 2023 ConferenceThis IDC Link focuses on SAS' responsible innovation initiative and the importance of building trust, transparency and information privacy in machine learning and AI life cycle technologies and applications.
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The road to health equityHow data and analytics contribute to improving outcomes for all.
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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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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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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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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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ユーザー事例
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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ユーザー事例
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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ユーザー事例
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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ユーザー事例
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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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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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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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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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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Leadership and Big Data InnovationA Harvard Business Review Key Learning Summary
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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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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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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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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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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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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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記事
流れ去るデータを捉えるソーシャルメディアやスマートメーター、センサーなど、常に流れ出てくるデータを扱う場合に、まず保存してから分析していませんか？イベント・データ・ストリーミングを使えば、流れこむデータを捉えてその場で分析し、必要なアクションをリアルタイムにとれるようになります。
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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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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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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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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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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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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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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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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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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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Building a Foundation for HR Analytics Valuable insight into what it takes to build HR analytic competency from scratch.
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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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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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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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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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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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記事
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 -
記事
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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記事
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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記事
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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記事
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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〓分析◆アナリスト・〓レポート
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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〓分析◆アナリスト・〓レポート
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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〓分析◆アナリスト・〓レポート
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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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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〓分析◆アナリスト・〓レポート
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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〓分析◆アナリスト・〓レポート
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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Make Every Voice Heard with Natural Language ProcessingNatural language processing: The communication link between human and machine intelligence.
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記事
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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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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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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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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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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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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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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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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Approachable Analytics With SAS® Web Solutions See how SAS Web solutions enable rapid prototyping of new analytic solutions.
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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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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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What Management Must Know About ForecastingExplore why forecasts are often wrong and learn about ways to improve them.
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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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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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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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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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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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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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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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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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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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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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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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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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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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TDWI Checklist Report Analytics for Everyone: Seven Tips for Promoting Analytics AdoptionChecklist Report on democratizing analytics
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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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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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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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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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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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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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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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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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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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TDWI Best Practices Report | Faster Insights from Faster Dataresearch report on improving speed to insight
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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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TDWI Checklist Report Six Best Practices to Ignite the Customer Experience with IoTcustomer data, IoT
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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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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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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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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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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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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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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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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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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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From Value to Vision: Reimagining the Possible with Data Analytics -
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BI, Analytics, and the Cloud: Strategies for Business AgilityCloud BI and analytics
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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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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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Advanced Analytics: Moving Toward AI, Machine Learning, and Natural Language Processingadvanced analytics, artificial intelligence, machine learning, natural language processing
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TDWI Navigator Report: Predictive AnalyticsPredictive Analytics
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Accelerating the Path to Value with Business Intelligence and AnalyticsBI and Analytics Accelerating Value
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Operationalizing and Embedding Analytics for ActionOperationalizing and Embedding Analytics
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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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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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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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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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ホワイトペーパー
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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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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Unified Platforms for Modern AnalyticsBest practices report about unified analytics platforms from TDWI.
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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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〓分析◆アナリスト・〓レポート
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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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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〓分析◆アナリスト・〓レポート
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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〓分析◆アナリスト・〓レポート
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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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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ユーザー事例
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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Municipality puts wireless water meter-reading data to work -
ウェビナー
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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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 -
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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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アナリティクスの現在と未来 後編：データサイエンティストが切り拓く未来（1/4）気鋭のデータサイエンティスト 孝忠大輔氏をNECビッグデータ戦略本部からお招きし、SASのコンサルタントと3名による特別鼎談を行いました。後編となる今回では、データサイエンティストが担うべき役割、切り拓く世界へと、広く深く話題が展開していきます。
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インタビュー
アナリティクスの現在と未来 前編：アナリティクスの現在を語る（1/4）気鋭のデータサイエンティスト 孝忠大輔氏をNECビッグデータ戦略本部からお招きし、SASのコンサルタントと3名による特別鼎談を行いました。
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高度な経営ダッシュボードで将来を見通し、経営の「次の一手」を高度なデータ分析を基盤とする経営ダッシュボードは、企業にどのようなメリットを提供できるのでしょうか。複数の企業事例を参考に、その目指す姿を展望しましょう。
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記事 顧客のスピードでビジネスを リアルタイムアナリティクス時代の到来現在、企業・組織はこれまでの製品中心主義から顧客中心主義に変遷しつつあります。あるアジア有数の保険会社のCIOは、新しい企業信念として「顧客スピードでのビジネス展開」を挙げていますのでご紹介します。
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アナリティクスの「工業化」 より多くのデータをシステムに取り込み、組織全体にわたる予測分析の仕組みを構築。SASが提案する「アナリティクス・ファクトリー」アプローチの詳細をご覧ください。
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記事 データを視覚化し、ビジネスに活用民間債権回収企業に勤務するColin Nugteren氏は、業務を統括する立場から顧客の支払い行動が蓄積されたデータを債券回収プロセスの効率化に生かすことの可能性に気づいていました。現在、データを理解し洞察を引き出す過程に「SAS Visual Analytics」を活用しています。データ視覚化作業について聞きました。
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記事 一般ユーザーに満足してもらおうとすれば、ネットで検索して結果が表示されるくらいのスピードが必要だグリッド・コンピューティングなどの手法を利用して効率的に大量データを処理する技術が注目を集めています。企業の現状は。大量データを高速に処理できるよ うになる近い将来のビジネスは。そして、そのための人材育成はどうあるべきか。国立情報学研究所 アーキテクチャ科学研究系 教授 佐藤 一郎氏に話を聞きました。
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ユーザー事例
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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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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ユーザー事例
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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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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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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ユーザー事例
Finding your best customers with machine learningSeacoast Bank enhances customer value using AI and SAS Visual Analytics on SAS Viya.
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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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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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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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ウェビナー
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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参加無料型ネットゲームが大きな利益を生む理由参加無料型のMMO（多人数参加型オンライン）ゲームのリーダー企業であるWargaming社は、SASの工業化されたモデリング環境をどのように活用して顧客のニーズに応えているのでしょうか？
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ブログ記事
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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ブログ記事
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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ブログ記事
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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ブログ記事
PythonからSASの画像処理機能を使って画像マッチングオープンなプラットフォームであるSAS Viyaの機能をPythonから利用して、画像マッチングを行う様子を詳しくご説明します。
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Data for Good：消費者を不公正な商習慣から保護テキスト・マイニングと機械学習は、米消費者金融保護局の取り組みをいかに支援しうるのでしょうか？
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プロアクティブな検知 – テロ対策の新たなアプローチテロ対策に取り組む金融機関の調査チームが「プロアクティブな検知」という斬新なアプローチを採用し、既存のデータをより有効に活用できる業務環境を構築するためのステップとは？
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ユーザー事例
通学バスのルートを最適化し、節約できた資金を学校に還元（英語）米ボストン公立学校区では、SASのアナリティクスを活用して通学バスの停留所を整理統合することで、生徒の利便性の改善と行政資金の節約をともに実現しました。
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アナリティクスによる児童福祉の改善（英語）With tremendous potential for child welfare agencies to use data and analytics to prevent child abuse and improve outcomes for children and families, child welfare advocates discuss the benefits of using data and establishing a data-driven culture to advance practice and policy.
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記事 変わるデータ分析に対するニーズ—BIの「セルフサービス化」進む近年、企業においてデータ分析への関心が高まっている。この理由としては、ビジネス環境の変動の激化と多様化、複雑化があげられる。現在の企業を取り巻く環境を見ると、もはや経験や勘を頼りに舵取りをすることは不可能と言える。―――ITRのアナリスト生熊氏が分析する、BIの最新動向。
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〓分析◆アナリスト・〓レポート
Gartner、「アドバンスド・アナリティクス・プラットフォームに関するMagic Quadrant」でSASをリーダーと位置付け -
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アナリティクスで都市をスマート化する10の方法児童福祉から交通運輸まで、行政機関が抱える課題の解決や業務の簡素化にアナリティクスが活用されている10の事例をご紹介します。
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記事 新世代のビジネス・インテリジェンスがIT部門にもたらす価値とは新世代BIにより、IT部門が提供できる価値とはどのように変化していくのでしょう。SAS Institute Japan ビジネス開発本部IMAグループに聞きました。
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IoTデータへの機械学習の適用機械学習やモノのインターネット（IoT）に関する理論的な議論から離れ、実用的なビジネス・アプリケーションについてお話しします。
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アナリティクスがイノベーションの原動力にイノベーションを起こすためには、組織戦略に明確かつ強固に結びついたアナリティクスの能力が必要です。この記事では、イノベーションが企業文化の一部となるために、たどるべき3つのアナリティクス・ステージを説明します。
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機械学習入門：よくある5つの誤解（英語）データセットの巨大化と複雑化が進むなか、機械学習（マシン・ラーニング）への注目度が高まっています。これはどのような仕組みなのでしょうか？ キンバリー・ネバラが、5つのよくある誤解を解きながら機械学習とは何かを説明します。
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ブログ記事
グラフ理論入門：ソーシャル・ネットワークの分析例IoTに代表される昨今のように全てが相互に接続された世界では、モノとモノ同士がお互いにどのように関連しているか理解することの重要性が増しています。グラフ理論やそのビジュアライゼーションを利用することは、この関連性の理解に大きな手助けとなります。SASのグラフ分析機能とビジュアライゼーションでソーシャルネットワーク分析をすると、どのように洞察を得られるのか、詳しく解説します。
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スポーツ・アナリティクスの内情：ビジネスリーダーのための10のレッスン『マネー・ボール』が発表されて以来、米国ではアナリティクスを採用するスポーツチームが急増しましたが、そこから企業が学ぶべき重要な要素がいくつか明らかになっています。ここで挙げる10のレッスンは、25のプロフェッショナル・チームを対象に行ったスポーツ・アナリティクスに関する調査結果をまとめたレポートから抜粋したものです。
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ニューヨーク・メッツはアナリティクスで深くファンと交流する長年ファンに愛されている野球チームニューヨーク・メッツは、アナリティクスを活用してWebサイト、ソーシャル・メディア・チャネル、パブリック・フォーラムなどでファンが興味を持ってくれる情報を提供しています。
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「情報に基づく直感」を備えた人材を育てるデータを扱う社員や、将来の意思決定者は“Informed Intuitant”になる必要がある。データを扱う社員や将来の意思決定者は、“Informed Intuitant”、つまり情報に基づく直感を操れる人になる必要がある。「Intuitant」という単語は造語であり、辞書には載っていない。私がこの用語によって伝えたいのは、意思決定者は、情報分析と直感の両方を意思決定の土台に据える必要があるということだ。The Corporate Executive Board（CEB）社では、このような人材を「情報に基づく懐疑論者（Informed Skeptic）」と呼んでいる。つまりは、科学的な情報分析と、直感的な情報への洞察は、どちらも重要なカギを握っているということだ。
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組織に最適な分析を取り入れる4つのステップ組織が分析技術を有効に活用することで不安要素をなくし、発生前の早い段階から今後起こり得る問題に対処できる仕組みを作り上げるための4つのステップを紹介します。
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パーソナル・データ・サイエンティストの可能性についてSiriに天気を尋ねるのと同じ感覚で、デスク上のボタンを押して最新の販売予測を確認できるとしたら？ 本稿ではパーソナル・データ・サイエンティストの可能性を探ります。
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アナリティクスを活用した処方薬の監視薬物乱用への対策として始まった処方薬監視プログラム（PDMP）に、高品質なデータと優れたアナリティクスを組み合わせることで新たな可能性が生まれます。
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ジカウイルスの阻止： ビッグデータとアナリティクスの可能性アナリティクスの専門家、現地の医療機関、米疾病対策予防センター（CDC）の学術研究コミュニティ、ワクチンメーカーが一致団結すれば、ジカウイルスの蔓延を阻止できるはずです。
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〓分析◆アナリスト・〓レポート
SAS、イベント・ストリーム・プロセッシングの操作性を改善（英語）
*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.