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- ウェビナー SAS Viya Copilot in Visual AnalyticsIn this webinar, we explore how SAS Viya Copilot can boost your work in SAS Visual Analytics, helping you build reports faster, generate smarter insights, and simplify complex tasks.
- ウェビナー Get Meaningful Results With New Features in SAS Customer Intelligence 36Join this webinar to explore the latest features in SAS Customer Intelligence 360 and how they translate into meaningful results.
- ウェビナー Where Does My SQL Process?Join this webinar to learn different ways to access and analyze database tables using SQL on the SAS® Viya® platform.
- ウェビナー AI Governance Trends: The Top Market Forces Shaping What’s NextLearn how leading organizations are designing AI governance to scale innovation, manage risk and stay ahead of regulation.
- ウェビナー From Insight to Action: Operationalizing AI Decision Intelligence Reducing inefficiencies, mitigating risk and improving customer experiences with trusted, scalable decision intelligence.
- ウェビナー Why procurement risks are rising — and how proven payment integrity ROI shows that action can’t waitStrengthen procurement integrity with data and AI: Reduce leakage, detect risks earlier and protect public spend
- ウェビナー MarTech Evolution: A Journey Through the GenerationsSee how MarTech evolved from legacy on-premises systems to GenAI and AI agents – and what that means for you.
- ウェビナー Data Science Meets A/B and Multi-Arm Bandit Testing in SAS® Customer Intelligence 360Join this webinar and learn how smarter testing yields dynamic, real-time results with SAS Customer Intelligence 360.
- ウェビナー From Dashboard to Autopilot: How SAS Visual Analytics on SAS Viya Transforms the AI Data JourneySAS Visual Analytics on SAS Viya is a major leap forward in capability, scalability and user experience over SAS 9.4. Whether you’re a report builder (driver) or a report viewer (passenger), this session will reveal how the new Viya platform puts you in the fast lane of analytics innovation, speed and self-service.
- ウェビナー Seamlessly Integrate with External Channels Using Customer Intelligence 360 Custom Task TypesDiscover how to turn complex MarTech ecosystems into coordinated, customer-focused journeys with Customer Intelligence 360.
- 〓分析◆アナリスト・〓レポート Datos Matrix: Fraud and AML Case Management, 2025As one of the most established brands in financial crime solutions and applied analytics, SAS scored highest among all the vendors surveyed in terms of stability. It has client retention rates of more than 90% and sales and support staff in all markets globally.
- ウェビナー Credit Risk Decisioning Using Intelligent Decisioning on SAS® Viya®Discover how Intelligent Decisioning on SAS Viya can help streamline credit originations, improve risk management and boost productivity. This session will explore new features designed to enhance decision-making efficiency while minimizing risk and customer friction.
- ホワイトペーパー Underwriting the future: The role of artificial intelligence in insuranceMany insurers have been using some forms of artificial intelligence (like machine learning) for decades. But with the pace of change faster than ever, insurers are feeling the pressure to adopt newer types of AI, like generative AI and agentic AI. The stakes of capturing full value from AI technology are high, with insurers recognizing that they must invest to stay ahead – or be left behind. To understand how AI is reshaping the industry, Economist Impact (sponsored by SAS) convened three roundtable discussions with insurance executives from across the globe. This report features key takeaways from those discussions and complements the findings of an earlier report: “Revealing the paths to 2040: Four possible scenarios for insurance.” Delve into topics from the executive roundtables, which centered around these questions. • To what degree has AI already transformed the industry, and where will companies invest next? • Have insurers captured the full value of AI? If investments have not yet paid off, why is that the case, and what needs to change? • What’s getting in the way of insurers struggling to cohesively implement AI technology at their organizations?
- ウェビナー AI Explained: Techniques and Tricks to Improve the Interpretability of Machine Learning ModelsJoin this webinar to learn techniques for interpreting machine learning models and how to use them in SAS® Viya®.
- e-Book Making health care work for everyoneHow AI can help public and private health care organizations enhance efficiency, increase value and improve patient care.
- ウェビナー The Data Science Productivity Gains in the SAS® Viya® Modeling ExperienceLooking to streamline your model development process? Or perhaps you’d like to enhance cross-team collaboration. In either case, we’ve got you covered.
- ウェビナー Getting the Most From the New Task Design Experience in Customer Intelligence 360SAS® Customer Intelligence 360 users: want to streamline your team’s campaign design process? We’ll show you how the new task design experience will maximize your efforts.
- ウェビナー I Have Results From PROC PSMATCH. Now What?Join this webinar to explore the possibilities of no-code real-world evidence analytics in SAS® Viya®.
- 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?
- 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.
- 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.
- 〓分析◆アナリスト・〓レポート IDC MarketScape: Worldwide Machine Learning Operations Platforms, 2024In this report from IDC, SAS strengths include a highly performant and scalable platform, comprehensive AI governance, and many automated features.
- 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.
- 〓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.
- e-Book Public service of the futureNever before have governments been asked to do so much, so fast, while facing considerable pressures – rising customer service expectations, fiscal constraints, overstretched organizations and workforce fatigue. Technologies like AI and generative AI are shifting the limits of what is possible – enabling fresh ideas about how public sector organizations can deliver services and helping to rethink what services are offered. From national to local government, law enforcement to health and defense to education, great strides are being made to deliver better outcomes and experiences.In this e-book, you will discover six considerations for improving productivity and ensuring public servants have the time to focus on what matters. Here's a sneak peek:· How do different demographics engage with public services and how do you serve everyone?· Are traditional processes meeting your organization’s needs? Would updating and modernizing help you achieve increased operational efficiency?· How AI is a catalyst for organizational transformation.
- 〓分析◆アナリスト・〓レポート SAS is a Leader in The Forrester Wave™: AI / ML Platforms, Q3 2024
- 〓分析◆アナリスト・〓レポート IDC MarketScape: Worldwide Decision Intelligence 2024
- 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.
- 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.
- 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.
- 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.
- 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.
- 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。
- 〓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。
- ホワイトペーパー 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.
- ユーザー事例 高品質データを繋げることで公共の安全を強化ウェストバージニア州フュージョンセンターは、SAS Law Enforcement Intelligence on Microsoft Azureを使用して、データの管理、情報の共有、および各機関の犯罪解決と防止の支援を行っています。
- 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。
- 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。
- e-Book Make Every Voice Heard with Natural Language ProcessingNatural language processing: The communication link between human and machine intelligence.
- ホワイトペーパー 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.
- 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
- 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。
- 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。
- 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。
- 〓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.
- 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。
- 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。
- 〓分析◆アナリスト・〓レポート Gartner positions SAS as a Leader in the Magic Quadrant for Data Science and Machine Learning Platforms, Q1 2021Gartner positions SAS as a Leader in the Magic Quadrant for Data Science and Machine Learning Platforms for the eighth consecutive year.
- 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。
- 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.
- ユーザー事例 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。
- 記事 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。
- 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.
- 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。
- 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.
- 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.
- ユーザー事例 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.
- 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。
- ホワイトペーパー 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.
- 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。
- 記事 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。
- ユーザー事例 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。
- ユーザー事例 Building supplier nails inventory managementTravis Perkins uses supply chain analytics from SAS to optimize inventory across its 2,000 stores.
- 記事 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。
- ホワイトペーパー 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.
- 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.
- ホワイトペーパー 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.
- ホワイトペーパー 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.
- 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.
- 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。
- ホワイトペーパー 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.
- ホワイトペーパー What Management Must Know About ForecastingExplore why forecasts are often wrong and learn about ways to improve them.
- 記事 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。
- 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。
- ホワイトペーパー 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.
- 記事 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?
- ホワイトペーパー 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.
- ホワイトペーパー 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.
- 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.
- ホワイトペーパー 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.
- ホワイトペーパー 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.
- ホワイトペーパー 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.
- ホワイトペーパー 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.
- ホワイトペーパー 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.
- ホワイトペーパー 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.
- 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.
- ホワイトペーパー 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.
- ホワイトペーパー 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.
- ホワイトペーパー 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.
- 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.
- ホワイトペーパー 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.
- 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.
- 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。
- ホワイトペーパー 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.
- 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。
- 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?
- 記事 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?
- e-Book Storytelling in Business: The plot, the players and the path to dynamic customer engagementTake an interactive look at how a newly appointed Customer Experience Manager (CEM) navigates his quest to create an omnichannel experience. This ebook walks through steps for building a team focused on a common goal and creation of a customer journey map. You’ll see how the CEM learns about the power of story as a communication tool to share the progress and success of the omnichannel project. It includes an interactive checklist you can use to see how storytelling is working for you.
- 記事 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?
- ホワイトペーパー Advanced Analytics: Moving Toward AI, Machine Learning, and Natural Language Processingadvanced analytics, artificial intelligence, machine learning, natural language processing
- ホワイトペーパー Accelerating the Path to Value with Business Intelligence and AnalyticsBI and Analytics Accelerating Value
- ホワイトペーパー 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.
- e-Book The Mechanics of StorytellingAnalogies are a powerful tool that can help an audience grasp complex ideas. This ebook uses the technique by comparing a mechanic’s journey to a storyteller’s assembly process defined by the acronym, “PARTS”: people, analytics, requirements, tools and success factors.
- 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。
- 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.
- 記事 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?
- 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.
- ホワイトペーパー 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.
- ホワイトペーパー 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.
- ホワイトペーパー 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.
- ホワイトペーパー 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.
- ホワイトペーパー TDWI Navigator Report: Predictive AnalyticsPredictive Analytics
- e-Book Enrich Your Data With Location AnalyticsLocation is more than a point on a map. It is a pathway to growth and better service. Matching up location information with big and little data can revolutionize business practices. Learn more in this e-book.
- ホワイトペーパー 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.
- ホワイトペーパー 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.
- ホワイトペーパー 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.
- 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。
- ホワイトペーパー 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.
- ホワイトペーパー Building a Foundation for HR Analytics Valuable insight into what it takes to build HR analytic competency from scratch.
- ホワイトペーパー 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.
- ホワイトペーパー 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.
- ホワイトペーパー Field Experience in Embedded AnalyticsA discussion summary from International Institute for Analytics
- ホワイトペーパー Rethinking Enterprise BI to Fit a Self-Service WorldSelf-service enterprise BI best practices
- 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.
- ホワイトペーパー 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.
- ホワイトペーパー 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.
- e-Book ホワイトペーパー 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.
- ホワイトペーパー 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.
- ホワイトペーパー 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.
- ホワイトペーパー Approachable Analytics With SAS® Web Solutions See how SAS Web solutions enable rapid prototyping of new analytic solutions.
- ホワイトペーパー Leadership and Big Data InnovationA Harvard Business Review Key Learning Summary
- ホワイトペーパー BI, Analytics, and the Cloud: Strategies for Business AgilityCloud BI and analytics
- ホワイトペーパー 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.
- 記事 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。
- 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.
- ホワイトペーパー TDWI Checklist Report: Gaining Business Value from Governed Analytics and Discoverydata governance
- 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.
- 記事 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.
- インタビュー 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。
- 記事 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。
- ホワイトペーパー Beyond the Hype: The Hard Work Behind Analytics SuccessWhy competitive advantage from analytics is declining and what to do about it
- ホワイトペーパー Operationalizing and Embedding Analytics for ActionOperationalizing and Embedding Analytics
- 記事 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。
- 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。
- 記事 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。
- 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.
- 記事 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。
- ホワイトペーパー 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.
- ホワイトペーパー 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.
- 記事 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。
- ユーザー事例 Municipality puts wireless water meter-reading data to work
- 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。
- 〓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)
- 〓分析◆アナリスト・〓レポート Info-Techベンダー概況: ゲーミング、ホスピタリティー、レジャー業界向けのビジネス・インテリジェンス(英語)
- ホワイトペーパー 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.
- 〓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
- ホワイトペーパー 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.
- ホワイトペーパー 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.
- ホワイトペーパー 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.
- ホワイトペーパー 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.
- ホワイトペーパー 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.
- 記事 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。
- ホワイトペーパー 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.
- 記事 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。
- ホワイトペーパー 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.
- ホワイトペーパー 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.
- ホワイトペーパー 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.
- ホワイトペーパー 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.
- 記事 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。
- ホワイトペーパー 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.
- 記事 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。
- ホワイトペーパー 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.
- ホワイトペーパー 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.
- 記事 データ・ビジュアライゼーション(視覚化)の活用により犯罪取締を強化する方法市民は警察が現在も、TVニュース、新聞、ラジオという従来型のメディアソースに大きく依存していると確信しています。とはいえソーシャルメディアについては、アンケート回答者の警察が従来の捜査で頼りにしてきたのはデータを直接(統計数値として)把握する手法ですが、ビジュアル・アナリティクスは、データに潜む複雑な関係性を理解するのに役立ちます。
- ホワイトペーパー 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.
- 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。
- 記事 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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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。
- 記事 「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。
- ホワイトペーパー From Value to Vision: Reimagining the Possible with Data Analytics
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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 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。
- ホワイトペーパー 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.
- 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
- ホワイトペーパー Using Agriculture Analytics to Improve Field TrialsCutting-edge research and development firms can operationalize streaming weather data, multidimensional observations and volumes of drone-collected data. But most product developers struggle to capture a fraction of their data’s value.
- 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.
- ホワイトペーパー 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.
- ホワイトペーパー Four Elements of Sustainability AnalyticsDirectors at consumer-packaged goods manufacturers who embrace sustainability grow their revenue while improving lives and environmental outcomes.
- 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.
- 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.
- ホワイトペーパー TDWI Checklist Report Six Best Practices to Ignite the Customer Experience with IoTcustomer data, IoT
- ホワイトペーパー 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.
- 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.
- ホワイトペーパー 4Rs of Digital Farming: How SAS Is Advancing Precision AgricultureGrowers and agronomists aiming for higher production, greater profitability, more effective conservation or improved sustainability lean on “4R” nutrient stewardship (right source, right rate, right time and right place). The same 4R principles should apply to precision agriculture.
- ホワイトペーパー Combining Robotic Process Automation and Machine LearningLearn how you can make robotic process automation smart by adding machine learning to it.
- ホワイトペーパー TDWI Best Practices Report | Faster Insights from Faster Dataresearch report on improving speed to insight
- ホワイトペーパー TDWI Checklist Report Analytics for Everyone: Seven Tips for Promoting Analytics AdoptionChecklist Report on democratizing analytics
- ホワイトペーパー 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.
- 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.
- ホワイトペーパー 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.
- ホワイトペーパー 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.
- 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.
- ホワイトペーパー 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.
- e-Book Integrating data. Enhancing decisions. Improving lives. Find out how cloud-based analytics and AI is transforming health care.
- 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.
- 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.
- ホワイトペーパー 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.
- 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.
- ホワイトペーパー 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.
- 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.
- 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.
- ホワイトペーパー 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.
- 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.
- ウェビナー How to Increase Speed to Analytics-Driven Decisions: SAS® Viya® With SingleStoreJoin this webinar to learn how to use the power of SAS Viya with SingleStore and SAS Cloud Analytic Services.
- ウェビナー How Can I Collaborate With My Coworkers in SAS® Viya® to Build Better Models?Join this special edition webinar to learn how to gain insights into your data faster than ever!
- ウェビナー AI and Machine Learning in Action Using SAS® Viya®: A Detailed Use CaseJoin this webinar to learn how SAS Viya uses embedded AI capabilities to benefit an organization’s operations.
- ウェビナー Building Data Visualization Applications Using Python and SASBuilding custom web applications using Python as a programming language and SAS to provide data has never been this easy.
- ウェビナー Easily Turn Your Automated Explanation Into a Predictive ModelJoin this webinar to learn just how easy it is to build a predictive model from an automated explanation.
- ウェビナー Take Your SAS® Visualizations to the Next LevelJoin this webinar to learn how to create visualizations in a low code/no code manner and how you can share them via different channels.
- ウェビナー SAS® Visual Analytics Stories Are Data With a SoulJoin this webinar to learn examples of generating emotion with your visualizations, analytics, reports and dashboards.
- ウェビナー How Do I Use Python in SAS® Viya®? Join this webinar to learn how to process, analyze and visualize data using Python in SAS Viya.
- ウェビナー Quantifying the Impacts of Clinical Intervention Programs Using Propensity Score Matching in SAS®Join this webinar to learn how propensity score matching methods can be applied within SAS to control for confounder biases often present in historical clinical/claims data.
- ウェビナー SAS® Studio Flows and StepsJoin this webinar to learn about SAS Studio Flows and Steps on SAS® Viya®. This popular part of SAS® Enterprise Guide® is back in SAS Studio.
- ウェビナー Trustworthy AI Using SAS®: A Technical DiscussionJoin this webinar to learn how a trustworthy AI approach injects fairness and oversight at every step of the AI and analytics journey.
- ウェビナー How Can You Use Deep Learning for Personalized Pricing and Revenue Optimization?Join this webinar to learn how to harvest the power of machine learning and how you can apply its capabilities for personalized pricing.
- ウェビナー How Can I Create Custom Geo Maps in SAS® Visual Analytics?Join this webinar to learn how to create rich, customizable maps in SAS Visual Analytics.
- ウェビナー Geocoding and Mapping in SAS®Join this webinar to learn about the great mapping capabilities of SAS and its recent additions.
- ウェビナー Using Templates to Create Reports Quickly in SAS Visual AnalyticsJoin this webinar to learn how you can create reports in SAS Visual Analytics more efficiently using page and object templates.
- ウェビナー Report Design in Action – Applying Report Design Best PracticesJoin this webinar to learn tips and tricks to ensure your reports are both useful and compelling.
- ウェビナー How Can I Geocode Address Data Using SAS® Viya®?Join this webinar to learn how to turn location-based data into actionable insights.
- ウェビナー Advanced Analytics: The Chief Risk Officer’s PerspectiveExplore insurance risks and solutions in this webinar as we hear the CRO’s perspective on AI pitfalls, tech risks and effective communication strategies.
- ウェビナー Working With SAS® Viya® DataJoin this webinar to explore the ways in which SAS Viya turns your data raw resources into valuable assets.
- ウェビナー What’s New in SAS® Studio 5.2?Get an in-depth view of the SAS Studio 5.2 interface and utilities.
- ウェビナー How Do I Get My SAS®9 Codes Running in SAS® Viya®?Join this webinar to discover the smoothest way to transition your SAS®9 code and flows to SAS Viya 4 with minimal effort.
- ウェビナー Get Started: Using CAS Programming Language for Distributed Computing in the SAS® Viya® PlatformJoin this webinar to learn how to get the most from the SAS Viya platform's high-performance, in-memory, distributed analytics computing engine, Cloud Analytic Services (CAS) using CAS’s native programming language, CASL.
- ウェビナー Getting Started With SAS®Join this special edition Ask the Expert webinar, where SAS experts will share helpful tips and tricks, best practices and showcase the latest analytical tools.
- ウェビナー Creating PowerPoints With SASJoin this webinar to learn how to render SAS results into Microsoft PowerPoint format.
- ウェビナー How Do I Fix Common Problems in Output From ODS Graphics?Learn how to avoid common pitfalls when using ODS Graphics procedures.
- ウェビナー Best Practices for Data Scientists and Analysts: Communicating Your ResultsThis webinar will introduce some of the best practices to consider when presenting your analytics findings to colleagues and decision makers.
- ウェビナー How Can I Create Graphs Using SAS®?Harness the power of SAS to create meaningful graphs using Statistical Graphics procedures and Graph Template Language.
- ウェビナー How Can I Visualize Global COVID-19 Survey Data?Analytics can be a tool in the fight against COVID-19. Learn to prepare data for analysis and how to create reports from your data using SAS® Visual Analytics.
- ウェビナー Jobs in SAS® Viya® 4: The Next Generation of Stored ProcessesJoin this webinar to learn about SAS jobs in SAS Viya and how they are similar to – and different from – stored processes in SAS 9.4.
- ウェビナー What Are the New Capabilities of SAS® Analytics Pro Advanced Programming?Join us to learn what’s new in SAS Analytics Pro and see a full end-to-end demo of SAS Analytics Pro Advanced Programming.
- ウェビナー What Are Best Practices for Using SAS® Survey Procedures?Learn how to utilize the power of SAS survey tools to design and analyze big survey data scientifically
- ウェビナー Tips for Statistical Communication and VisualizationJoin this webinar to learn ways to improve visualizations and clarify statistical concepts.
- ウェビナー Fostering Trustworthy AI Using a Model CardJoin this webinar to learn how to create a model card in order to build trustworthy AI models.
- ウェビナー How can I Integrate SAS® and Open Source for Analytics and Machine Learning?Join this webinar to learn how, through a use case starting with raw data, you can use SAS® Viya® and open source together to create and deploy superior models to drive your organizational goals.
- ウェビナー ModelOps: Why Data Matters – Building Efficient FoundationsJoin this webinar to discover how to elevate your ModelOps strategy by integrating data with both agility and effectiveness.
- ウェビナー Composite AI Using Machine Learning in Optimization FormulationsJoin this webinar to learn how to incorporate ML models into optimization formulations to solve complex business problems.
- ウェビナー The Three Keys to Evaluating the True Economic Value of Cloud AdoptionUnderstand and evaluate the true economic value of analytics and why it is necessary in your journey to the cloud.
- ウェビナー Using AI to Build a Better Insurance IndustryJoin us for an exploration into the digital transformation of insurance companies, unveiling how AI accelerates speed, efficiency and precision in all facets of the industry.
- ウェビナー How Do I Use SAS® Model Manager?Join this webinar to learn how to get started using SAS Model Manager.
- ウェビナー Advanced Analytics: Insurers’ Fiduciary Responsibilities Learn how to navigate the complex intersection of AI and insurance responsibilities and get insights into regulations, duties of care and future trends.
- ウェビナー Machine Learning Models in SAS Event Stream Processing Discover how to use machine learning and streaming analytics to uncover insights and make real-time decisions.
- ウェビナー ModelOps with SAS® Model Manager and Azure Machine LearningBuild in SAS, deploy anywhere in the Microsoft Cloud
- ウェビナー How Do I Streamline AI Project Workflows?This webinar will showcase the flexibility, efficiency and scalability of combining SAS Event Stream Processing with ONNX Runtime and Microsoft Azure, addressing common challenges in AI model deployment and execution.
- ウェビナー SAS® Viya® and R IntegrationJoin this webinar to learn how R users can embrace high-performance SAS Analytics without a full dive into the SAS programming language.
- ウェビナー How Can I Save Time and Build Trust With My Data Preparation?Learn how to use AI and machine learning to save time and build trust in your data preparation techniques.
- ウェビナー What Are the Ways to Diagnose Infeasibility?Diagnose and understand why an optimization problem is infeasible
- ウェビナー What Are the Analytical Capabilities of SAS® Visual Analytics? Join this webinar to learn the analytical capabilities of SAS Visual Analytics. Get deep, detailed statistical insight in a user-friendly way.
- ウェビナー Getting Started With SAS® Visual Text Analytics Join this webinar to learn the best practices for analyzing large-scale unstructured text data using SAS Visual Text Analytics.
- ウェビナー SAS Model Studio: Getting StartedNew users will learn what SAS Visual Data Mining and Machine Learning is, and what it can do.
- ウェビナー How Can I Advance My Machine Learning Applications? Join this webinar to learn the key benefits of using SAS® Visual Machine Learning and how SAS supports your migration to this platform.
- ウェビナー How Can Manufacturers Optimize Process and Throughput With SAS®? Join this webinar to learn how to improve quality and operational performance while lowering the cost of poor quality.
- ウェビナー What Is Deep Learning?Join this webinar to learn the fundamentals of deep learning and how to use deep learning in SAS.
- ウェビナー Leveraging Snowflake With SAS Container Runtime + SAS Intelligent DecisioningJoin this webinar to learn how to seamlessly integrate decisioning processes and achieve faster insights from your data.
- ウェビナー How Do I Assess and Mitigate Models Bias With SAS Fair AI Tools?Join this webinar to learn how to assess and mitigate model bias using SAS® Viya®.
- ウェビナー How To Make Your LLM Work For YouJoin this webinar to explore core techniques for effectively building with large language models (LLMs).
- ウェビナー Solving the Analytics Puzzle From BI to AILearn how you can put together a picture of analytics that enables you to uncover deeper insights and deliver more value.
- ウェビナー Finding the Sweet Spot: The Nexus of Data, Analytics and Business StrategyLearn how to clearly outline your data and analytics strategies – and then put them into action.
- ウェビナー Determining the FATE of AIJoin us as we explore ways to consider AI fairness, accountability, transparency and ethics (FATE) and how to address these issues as you grow your AI strategy.
- ウェビナー The promise of data fabrics for analytics and better decisionsDiscover how to make analytically driven decisions and realize the value of data assets.
- ウェビナー Solving the Analytics Puzzle From BI to AI: Illustrated SolutionsSee clear illustrations of how to combine analytics capabilities to solve any data-driven challenge.
- ウェビナー Beyond Dashboards: Analytics in Action WebinarYou’ve got dashboards. So many dashboards. Some are even smart. What next?
- ウェビナー The SAS Platform: The Power of Choice and Control Learn how the SAS Platform empowers you with choice and control, helping you uncover insights from any data for better, faster decisions.
- ウェビナー Five Imperatives for the Analytic ExecutiveLearn what it takes to capitalize on the analytics economy and generate substantial business value.
- ウェビナー From Data Complexity to Data Cohesion: The Evolving Role of the Chief Data OfficerLearn how the CDO can lead the transition from merely collecting data to capitalizing on it
- ウェビナー Building the Foundation for Analytic SuccessLearn about organizational best practices for analytics and what it takes to build a thriving analytics culture.
- ウェビナー Beyond Grid and Random Search: Tuning Deep Learning Pipelines With Genetic AlgorithmsExpand access to the essential black-box optimization technique and the range of its potential applications.
- ウェビナー Best Practices With Modern ForecastingDiscover how to improve forecasting processes and future planning using a consistent and scalable framework.
- ウェビナー Forecasting Virtual RoundtableGain valuable insights into best practices, innovative approaches and tangible results achieved through effective predictive analytics.
- ウェビナー How AI and IoT Are Transforming ManufacturingJoin experts from SAS and mayato to learn how manufacturing operations can benefit from today's technologies, including artificial intelligence and the IoT.
- ウェビナー Partner with SAS IoT: What’s In It for YouJoin experts from SAS and Advanced Information Management to learn how SAS works with other leading companies to deliver edge-to-enterprise value from your IoT data.
- ウェビナー How the Brain of an AI/IoT System Processes Industrial IntelligencePeek inside the mind of the machine to learn how artificial intelligence and IoT technologies think.
- ウェビナー Make Your Models Move OutJoin experts from SAS and Accenture to learn how to augment your own intelligence and improve uptime using scalable data integration and advanced analytics.
- ウェビナー Using SAS With Microsoft 365: A Programming ApproachJoin this webinar to learn how to unlock new power and flexibility by using Microsoft from your SAS programs.
- ウェビナー EnerjiSA Modernization Story: SAS is so Much More Than an AI Platform. Discover the Power of Business Intelligence!Join this webinar to explore real-world use cases and hear a SAS modernization story, showcasing how SAS® Viya® transforms BI capabilities for greater impact.
- ウェビナー How Does SAS® Viya® Integrate With My Favorite Microsoft Products?Join this webinar to learn how you can easily access your SAS Viya environment from your favorite Microsoft products using SAS for Microsoft 365.
- ウェビナー What Do I Need to Know About SAS® Viya® Security?Learn the basics of SAS Viya security, including the two-tier authorization model.
- ウェビナー Are You Ready for MarTech 2024?Join our experts as they cover lots of ground, from AI-driven customer journeys to soaring customer expectations.
- ウェビナー How Does SAS® Viya® Integrate With My Favorite Microsoft Products?Join this webinar to learn how to easily access your SAS Viya environment from your favorite Microsoft products like Excel, Outlook, and PowerPoint using SAS for Microsoft 365.
- ウェビナー Moving Microsoft Office Integration to the Next Level: SAS for Microsoft 365Join this webinar to learn how to modernize information delivery across your organization.
- ウェビナー How Do I Show Geographical Data Using the SGMAP Procedure? Learn how to use the SGMAP procedure to create effective displays of your geographical data.
- ウェビナー Getting Started With Geo Analysis in SAS® Visual AnalyticsSeeing is believing. Learn the geo analysis capabilities available in SAS Visual Analytics, available out of the box and through Esri integration.
- ウェビナー When Do I Use SG Procedures vs. Graph Template Language?Join this webinar to learn the pros and cons of SG Procedures and Graph Template Language along with a process for deciding which method to use.
- ウェビナー Tricks for Report Builders: Report Design Best PracticesJoin this webinar to learn steps and best practices for creating compelling interactive reports.
- ウェビナー What’s New in Data Visualization?Learn what’s trending in augmented intelligence as a result of the pandemic and where analytics drives data exploration with interactive data visualizations.
- ウェビナー Tree-Based Machine Learning Methods and Model Interpretability in SAS® Viya®: A Case StudyJoin this webinar to learn how to build machine learning pipelines in SAS Viya.
- ウェビナー Zeroing in on property values with machine learningJoin us for a webinar focused on how Wake County and SAS built cloud-based machine learning models to accurately forecast the housing market and property values.
- ウェビナー Prime the Pump: An approach for better assessment of risk issues and unstructured data Learn how AI capabilities can help you organize and analyze unstructured data to better assess – and avoid – risks facing your business.
- ウェビナー Certification: AI and Machine Learning Professional Credential Overview Learn tips for success in earning the SAS® Certified AI and Machine Learning Professional credential.
- ウェビナー Intro to Machine LearningAsk the Expert: Learn the definition of machine learning and see examples of specific machine learning techniques in SAS Enterprise Miner and SAS Viya.
- ウェビナー How to Prep for the Statistics for Machine Learning Specialist CertificationAdvance your machine learning knowledge and learn about earning additional certifications from SAS
- ウェビナー Getting Started With SAS® Visual Data Mining and Machine LearningJoin this webinar to learn how to build models interactively, through pipelines and through programming.
- ウェビナー Exploring the Environmental Impact of AI and Analytics in the CloudJoin this webinar to learn how you can assess the carbon footprint of your analytical workloads in the cloud and ways to optimize it.
- ウェビナー Big Benefits, Scalable Price: The SAS Cloud-Based Clinical Platform for SMBs Learn how small-to-midsize pharmas, biotechs, medical device manufacturers and CROs can benefit from a compliant cloud-based solution to facilitate clinical trials.
- ウェビナー Biotech, Pharma, Med Device Leaders: Re-Think Commercialization With Analytics Join this webinar to learn trends in stakeholder engagement preferences and key considerations for digital first strategies
- ウェビナー SAS Certified Professional: AI & Machine LearningGet tips on AI technologies, from computer vision to forecasting and optimization.
- ウェビナー Ethics in AI: Building Responsible AI SystemsJoin this webinar to learn how to build and maintain responsible AI systems by embedding the trustworthy AI principles of inclusivity, transparency and security.
- ウェビナー Cluster Analysis: Introduction to Best PracticesJoin a SAS expert to learn some of the best practices to consider when doing cluster analysis, particularly when applied to customer relationship management.
- ウェビナー Top Tips for SAS®9 Programmers Moving to SAS® Viya®Join this webinar to get the knowledge and confidence you need to embrace the evolution of SAS.
- ウェビナー Creating PDF Reports That Meet Accessibility Compliance StandardsJoin us for this webinar to see how SAS® 9.4M6 lets programmers create PDF reports that fully meet Web Content Accessibility Guidelines 2.0 requirements.
- ウェビナー A Day in the Life of a SAS® Viya® AdministratorJoin this webinar to learn about different tasks that should be done on a regular basis to keep your SAS Viya environment healthy and secure.
- ウェビナー Taking Microsoft Office From Good to GreatLearn how to use SAS to enhance the security, reporting and analytical capabilities of Office while eliminating data size restrictions.
- ウェビナー A Tour of SAS® Viya® Programming and Application Interfaces: A Forest Modeling Example Join us to learn how to accomplish the same forest modeling in SAS Viya using a variety of programming and application interface methods.
- ウェビナー How Do I Use the Bootstrap Method in SAS®?Join this webinar to learn about the bootstrap method and when it should be used.
- ウェビナー Why Do I Have Missing Data and How Do I Fix it?Learn how to handle missing values in your data.
- ウェビナー Now, Next, Future: What Consumer Brands Need to Unleash Profitable CreativityIn just 20 minutes, experts explain how successful consumer goods companies use digital technologies to create meaningful (and profitable!) relationships with shoppers.
- ウェビナー SAS® Viya® and the cloud: How SAS is changing the game it inventedJoin this webinar to learn how to make the most of cloud migration with SAS Viya.
- ウェビナー Let’s Get Visual: Are You Ready for Next-Gen Demand Planning?Learn how top brands are reinventing demand planning to make intelligent decisions and automation seamless across their data.
- ウェビナー SMB Success With Digital Transformation (DX) InitiativesJoin us to learn from your SMB peers and get useful advice as they share recent DX success.
- ウェビナー Analytics 101 – Part 2Join us for a deeper dive into analytics and learn how to use AI and machine learning techniques to gain meaningful insights from unstructured text.
- ウェビナー Big Data and the Retail RevolutionLearn how retail pioneers around the world are turning to data and analytics to design customer experiences and unlock a new world of opportunity.
- ウェビナー How Are SAS®9 and SAS® Viya® Administration Different?Join this webinar to learn the similarities and differences between SAS®9 and SAS Viya administration.
- ウェビナー Data for Good: Achieving Net ZeroExplore how analytics can help organizations transition to clean energy and a sustainable future.
- ウェビナー Optimizing Manufacturing Quality and Yield With SAS Analytics Join us to learn how SAS advanced analytics can help manufacturers identify leading causes of unwanted variation and recommend optimal set points to maximize quality.
- ウェビナー Predicting Customer Value Using Advanced Analytics Learn how advanced analytics and predictive models give you a clear view of your customer’s lifetime value.
- ウェビナー 5 Ways to Maximize Your Analytics ROILearn how to effectively communicate the value of your analytics investments to ensure they get full credit for their positive affect on ROI.
- ウェビナー How Do I Use Open Source With SAS® Viya®? Join this webinar to learn the many ways SAS Viya integrates with open source.
- ウェビナー Still Talking Supply Chains? Solving for Manufacturing Disruption in Health Care and Life SciencesJoin us as we discuss ways your organization can use technology and analytics to mitigate supply chain challenges across health care and life sciences.
- ウェビナー Introduction to Hierarchical Linear Models Using PROC MIXEDThis presentation provides a conceptual understanding of hierarchical linear models and their appropriate use in the analysis of hierarchical data structures.
- ウェビナー Have Your Cake and Eat It Too – Using Open Source With SASJoin us for a webinar and demo and learn how SAS works with R and Python to easily scale your data science efforts for enterprise analytics deployment.
- ウェビナー Executing SAS Analytics From R Shiny ApplicationsJoin this webinar to learn how to achieve seamless connectivity between R and SAS sessions.
- ウェビナー Analytics for Everyone: Finding the ‘80/20’ to Faster Time to ValueLearn how to accelerate and scale your organization’s problem-solving ability by empowering professional coders and noncoders alike.
- ウェビナー Digitalization and the Decentralized Future of Clinical TrialsCreate more efficient, more resilient decentralized clinical trials with improved patient experience and access
- ウェビナー Discover the Possibilities: SAS® Visual Studio Code ExtensionJoin this webinar and learn how to become more proficient and productive when coding in SAS.
- ウェビナー SAS® Viya® WorkbenchJoin us to learn more about this highly scalable, cloud development environment that allows data scientists to rapidly build high-performance models in the language they choose.
- ウェビナー How Do I Read and Write Excel Files Using SAS®? Join this webinar to learn a quick, convenient method to bring in Microsoft Excel data on any SAS platform.
- ウェビナー SAS® Viya® Workbench on AWS MarketplaceJoin this webinar to learn about SAS Viya Workbench, a developer canvas for building AI models in a cloud-native, scalable environment.
- ウェビナー Enhancing your members’ health care experience and engagement in a digital-first worldDelivering the experience your members expect
- ウェビナー SAS Cloud – Supercharge Your SAS Development in MinutesJoin us for this webinar to learn how SAS developers can use SAS Cloud to provide exceptional value to their organizations faster and more easily than ever before.
- ウェビナー Analytics 101 – Part 3Join us for part three of our webinar series focused on the best practices for the application and deployment of predictive modeling.
- ウェビナー Boost CX + Find Hidden Revenue Opportunities With Real-Time AnalyticsIn just 20 minutes, learn how real-time analytics offers a genuine competitive edge as the hospitality and gaming industry finds its way forward.
- ウェビナー Advanced Analytics: Walk in the Insurance Regulator’s ShoesDive into the regulatory world of AI in insurance as we explore insights on collaboration strategies and future trends in AI regulation.
- ウェビナー Starting Your Cloud Analytics JourneyTake your analytics skills to new heights with this introduction to cloud analytics. Learn directly from expert Manish Jain of Stratacent.
- ウェビナー Revolutionizing Customer Insights: Harnessing the Power of SAS Customer AnalyticsTransform customer insights and boost ROI with versatile analytics solutions from SAS.
- ウェビナー Better Analytics with Automation in SAS® Viya® Join this webinar to discover how analytics automation can lead to faster insights, better quality and time savings.
- ウェビナー But I Love Open Source – Why Do I Need SAS® Viya®?Learn how SAS Viya works with open source to deliver faster business value and accelerate innovation.
- ウェビナー Optimizing Logistics Operations Using Customized SolutionsJoin this webinar to learn how you can optimize logistics routing operations to improve operational efficiency.
- ウェビナー Improving Manufacturing Product Quality With Bayesian Computation in SAS® Viya®Join this webinar to hear how companies are using advanced analytics to improve manufacturing quality, safety and timelines.
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