SAS IS A LEADER
The Forrester Wave™: Digital Intelligence Platforms, Q4 2022
The vendor’s extensive human and technological resources enable its mostly organic growth. It also offers the widest choice of delivery models in this evaluation, including SaaS, on-premises, PaaS, and RaaS.![]()
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- Customer Story French national rugby team boosts performance with AI and analyticsThe French Rugby Federation counts on intelligence gleaned from SAS Viya on Microsoft Azure to guide coaching decisions and enhance player performance.
- Аналитический отчет Gartner positions SAS as a Leader in the Magic Quadrant™ for Data Quality SolutionsGartner positions SAS as a Leader in the Magic Quadrant for Data Quality Solutions.
- Аналитический отчет 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.
- Технический документ 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.
- Article A Getting Started With Hadoop ChecklistFrom low-cost storage to distributed processing, Hadoop offers many promises. But there’s an expanding analytics ecosystem evolving around this big data platform that’s worth some study. Read our checklist and make sure you’re not overlooking anything important in your rush to get value from Hadoop.
- Технический документ A Non-Geek’s Big Data PlaybookThis paper examines how a non-geek yet technically savvy business professional can understand how to use Hadoop - and how it will impact enterprise data environments for years to come. The paper serves as a playbook that demonstrates six common “plays” that illustrate how Apache Hadoop can support and extend the enterprise data warehouse (EDW) ecosystem.
- Аналитический отчет 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.
- Технический документ Governments adapting to changeTop tips for shifting to an enterprise analytics strategy.
- Аналитический отчет 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.
- E-Book Making Sense of AIThis e-book explores the current boundaries of AI, as well as the many ways that modern AI applications can improve our understanding of the world and enable us to make better, faster decisions.
- Технический документ 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.
- Технический документ 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.
- Технический документ 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.
- Технический документ 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.
- Аналитический отчет 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.
- Аналитический отчет SAS is a Leader in The Forrester Wave™: AI Decisioning Platforms, Q2 2023.The Forrester Wave™: AI Decisioning Platforms, Q2 2023 recognizes SAS for seamlessly integrating world-class analytics for decisioning.
- E-Book Becoming a data-driven organizationLearn about the three foundations of becoming data-driven – data management, analytics and visualization – and how they can increase profitability, boost performance, raise market share and improve operations.
- Технический документ 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.
- Технический документ Retail bank media networks: Monetize customer data with personalized offers and advertisingThe creation of a “retail bank media network” can drive more valuable next-best offers, generate new ad revenue, offset revenue shortfalls and increase shareholder value.
- Технический документ Using Hybrid Cloud Capabilities for True Omnichannel MarketingSeamless, agile customer interactions require a marketing system that can collect data about a customer’s interactions and behavior across all touch points, regardless of underlying technology. Learn how SAS Customer Intelligence 360 lets you use both cloud and on-site channels and data to create an omnichannel marketing solution.
- Технический документ 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.
- Технический документ The General Data Protection Regulation: What It Means and How SAS® Data Management Can HelpFind out how the GDPR could affect your business and how SAS Data Management solutions can help you prepare.
- Video How machine learning can provide customers with more relevant offersIn this video, industry influencer Daniel Newman offers his perspective on ways machine learning can be used to enhance customer experiences.
- Аналитический отчет 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.
- Customer Story Norway’s largest telecommunications, media and technology provider adapts to rapidly changing customer expectations using a hybrid cloud approachTelenor relies on SAS Viya on Azure and SAS Customer Intelligence 360 to provide fast, personalized customer service based on real-time analytics.
- Customer Story Customer engagement enhanced with cloud-based analytics and AI1-800-FLOWERS.COM, Inc. helps customers express, connect and celebrate with SAS Viya on Azure.
- Customer Story Financial lender cuts third-party fraud by more than 80% with layered detectionAxcess Financial uses SAS Identity 360 to dramatically reduce fraud losses and boost customer satisfaction.
- Customer Story Voetbalmedia uses martech from SAS to better engage with 1.4 million football players and enthusiastsSAS Customer Intelligence 360 helps Dutch football platform improve user reach and participation through unique offers and experiences.
- Технический документ The Evolution of AnalyticsLearn about modern applications for machine learning, including recommendation systems, streaming analytics, deep learning and cognitive computing. And learn from the experiences of two companies that have successfully navigated organizational and technological challenges to adopt machine learning and embark on their own analytics evolution.
- Технический документ 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.
- E-Book Data Management: What You Need to Know and WhyExplores the essential building blocks of data management, including master data management, data governance, data quality, data integration and data federation.
- Технический документ Data Management: The Foundation for Successful Reporting and Analytics in EducationSee how effective data management enables educational institutions to generate accurate reports and analytics - and how SAS can help.
- Технический документ Data Management in Action: Solving Real-World ChallengesDiscover how a solid data management foundation helps you make better decisions and attain business success.
- Технический документ 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.
- Технический документ 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.
- Технический документ Data is KingLearn about the benefits of building an analytical data warehouse based on an insurance-specific data model so insurance companies can gain the most out of their investment in business analytics.
- Технический документ Data Integration Déjà Vu: Big Data Reinvigorates DIDiscover why the latest evolution of data integration delivers more value from big data.
- Технический документ SAS and the Hadoop EcosystemA vendor profile from The Bloor Group that refers to the full report: Making Sense of Hadoop and its Ecosystem.
- Технический документ Making Sense of Hadoop and its EcosystemAn Investigation into the Evolution and Deployment of Hadoop
- Технический документ 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.
- Технический документ Best Practices for Hadoop: A Guide From SAS CustomersEase your transition to Hadoop by following these tried-and-true best practices from SAS customers.
- E-Book Improving Customer ExperienceEveryone makes better decisions with easy access to powerful, interactive analytics – no matter the size of the business. This e-book profiles seven organizations that are using self-service data visualization and exploration to make big improvements in the way they work.
- Аналитический отчет 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.
- Аналитический отчет Advanced Analytics Excellence In Discrete Manufacturing
- E-Book Planning For CDP Success: A guided journey for choosing a customer data platformLearn how customer data platforms are evolving as marketing technology modernizes, possibilities for CDP use cases, how to define use cases, and what organizations should consider before selecting the CDP that's right for them.
- Аналитический отчет SAS is a Leader in The Forrester Wave™: Multimodal Predictive Analytics & Machine Learning, Q3 2020.Forrester report states that products evaluated are SAS® Visual Data Mining and Machine Learning and SAS® Model Manager.
- Технический документ Profiling and Analytics under GDPR: Staying on the Right Side of the Regulation with Data GovernanceExplore the GDPR provisions targeting customer analytics and profiling. This paper explores how a comprehensive data governance program can mitigate compliance risks for these provisions, and introduces must-have data management technologies that can help.
- E-Book Data Privacy: Are You Concerned?Report based on a 2018 survey of 525 US consumers regarding their views on data privacy in light of recent data scandals and the implementation of the General Data Protection Regulation in the EU. It's purpose is to better understand their opinions on data privacy and how it affects their behaviors and trust toward companies.
- Технический документ 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.
- Технический документ 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.
- Технический документ 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.
- Технический документ 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.
- Технический документ Marketing attribution: Giving credit where credit is dueMarketing attribution helps you analyze the impact and business value of company-generated marketing interactions to help make the best marketing investment decisions. The challenge is to interpret the massive volumes of customer data that continues to expand day by day.
- E-Book Rationalizing Risk in AIOrganizations that wait for AI perfection tomorrow will invariably miss out on its great potential today. Because while risk can’t be avoided entirely, it can be rationalized.
- Технический документ 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.
- Технический документ Redefining Brand Performance for the 21st CenturyUse analytics and technology platforms to become genuinely customer-centric, and make the right connections with customers at the right time, on the right device.
- Технический документ The SAS Data Governance Framework: A Blueprint for SuccessThis white paper explains how to build a comprehensive data governance framework that encompasses all parts of the data management infrastructure.
- Технический документ 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.
- E-Book How to Take AI Projects From Start to WinThe four pillars of starting a successful AI program and examples of how other organizations have taken their AI projects from start to finish.
- Технический документ TDWI Best Practices Report | Faster Insights from Faster Dataresearch report on improving speed to insight
- Технический документ 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.
- Технический документ 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.
- E-Book Operationalizing AnalyticsExplore how to overcome difficulties related to data and operationalizing analytics. We’ll also look at how one industry – banking – has been able to realize the full benefit of its analytics investment.
- E-Book Accelerate and improve business outcomes with AIoTOrganizations across multiple industries are using AIoT to improve quality, maximize equipment performance, improve efficiencies and more. Download this e-book to find out how you can reap the same benefits.
- 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.
- E-Book Fearless Decision? The most successful banks of the future will be those who can see their customers as individuals, appreciate their unique journeys and make decisions accordingly — across all associated business functions.
- E-Book Transformational decision?Governments can incorporate AI-driven decisioning into existing business processes to take advantage of digital transformation benefits. Through automated processes, deeper insights and the ability to act quickly, governments can innovate service delivery, drive efficiency and help build a better future.
- Технический документ 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.
- Технический документ 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.
- Технический документ 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.
- Технический документ 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.
- Технический документ 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.
- Технический документ TDWI Checklist Report Six Best Practices to Ignite the Customer Experience with IoTcustomer data, IoT
- Технический документ 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.
- Технический документ 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.
- Технический документ 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.
- Технический документ Combining Robotic Process Automation and Machine LearningLearn how you can make robotic process automation smart by adding machine learning to it.
- Технический документ 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.
- Технический документ Revamping Data ManagementRecent IDG survey demonstrates growing need for end-to-end data management strategies as organizations mobilize against year-over-year challenges.
- Технический документ 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.
- Технический документ 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.
- Технический документ Advanced Analytics: Moving Toward AI, Machine Learning, and Natural Language Processingadvanced analytics, artificial intelligence, machine learning, natural language processing
- Технический документ SAS Best Practices Report: Data LakesData Lakes
- E-Book Data Preparation Challenges Facing Every EnterpriseData preparation
- Технический документ Hadoop for the Enterprise: Making Data Management Massively Scalable, Agile, Feature-Rich, and Cost-EffectiveThis TDWI report accelerates users’ understanding of new products, technologies and best practices that have emerged around Hadoop. It will also help readers connect available options to use cases, with a focus on mainstream enterprise uses, while respecting proven IT practices and delivering maximum business value.
- Технический документ Improving Data Preparation for Business AnalyticsThis TDWI Best Practices Report discusses the latest data preparation processes, self-service options and how to effectively integrate data prep with analytics and BI solutions.
- Технический документ TDWI Navigator Report: Predictive AnalyticsPredictive Analytics
- Технический документ Operationalizing and Embedding Analytics for ActionOperationalizing and Embedding Analytics
- Технический документ Self-Service Big Data Preparation in the Age of Hadoop: A Conversation with SASLearn how SAS Data Loader for Hadoop enables business users – along with data scientists and IT – to access, profile, transform and cleanse Hadoop data. The best part is, it requires minimal training and no need for coding.
- 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.
- Технический документ Navigating the digital world without third-party cookiesSAS Whitepaper
- 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.
- Технический документ SAS - Hospitality ProviderHave you ever wondered how much value your martech solutions truly provide to your organization? Well, wonder no more. In this research study completed with a North American hospitality provider, we calculated just that. And the results were impressive
- Технический документ Where does marketing stop and advertising begin?The demise of third-party cookies will undoubtedly present a huge challenge for organizations when accessing the data needed for marketing and advertising purposes. Learn the three strategic actions that brands should take to be successful in preparing for MadTech, which combines marketing and advertising technologies.
- 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.
- 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.
- Технический документ AI and analytics are powering a demand planning and customer experience revolutionToday, thanks to next-day shipping, product shortages and transportation disruptions, availability and delivery speed have become the deciding factor for consumers, making inventory availability the ultimate competitive advantage for retailers.
- Аналитический отчет SAS is a Leader in The Forrester Wave™: Real-Time Interaction Management, Q2 2022Forrester names SAS a Leader in The Forrester Wave™: Real-Time Interaction Management, Q2 2022.
- Article Страхование: мошенникам вход воспрещен!Как выявить, что вас обманывают агенты и страхователи, а также распознать первые признаки будущего мошенничества.
- Аналитический отчет SAS is a Leader in The Forrester Wave™: Customer Analytics Technologies, Q3 2020.SAS® Customer Intelligence 360, which helps craft compelling next-best experiences tailored to wherever customers are in their journeys, is named a Leader in The Forrester Wave.
- Article Public health infrastructure desperately needs modernizationPublic health agencies must flex to longitudinal health crises and acute emergencies – from natural disasters like hurricanes to events like a pandemic. To be prepared, public health infrastructure must be modernized to support connectivity, real-time data exchanges, analytics and visualization.
- Interview The scoop on HadoopCloudera co-founder Mike Olson talks trends, changes and outlines the formula for success with Hadoop.
- Customer Story Advanced analytics can detect and prevent insurance fraud before losses occur | SAS
- Вебинар Привет, Мир! Привет, персонализация!
- Customer Story IoT-данные с искусственным интеллектом сокращают время простоя, помогают дальнобойщикам продолжать грузоперевозкиVolvo Trucks и Mack Trucks используют данные датчиков и решения SAS на основе ИИ для минимизации незапланированных простоев.
- Article An executive’s guide to cognitive computingCognitive computing is the latest buzzworthy term that everyone seems to be talking about in the technology industry. But can machines really think?
- Customer Story Уменьшение внутрибольничных инфекций с помощью искусственного интеллекта Больницы в регионе Южной Дании стремятся повысить безопасность пациентов, используя аналитические решения и искусственный интеллект SAS.
- Customer Story Бразилия борется со страховым мошенничеством с помощью ИИ и аналитики.CNSeg полагается на SAS, чтобы препятствовать мошенникам, и повышает точность оповещения на 67%
- Customer Story Решения ритейлера создают привлекательные условия для клиентов с помощью data-driven маркетинга.Office Depot Europe стимулирует изменения, используя SAS Customer Intelligence 360 в качестве главного катализатора цифровой трансформации
- Article Почему менеджерам стоит позаботиться о качественном инструменте для прогнозированияТеперь, когда COVID-19 стал частью нашей реальности, жизненно важно планировать каждый аспект бизнеса. Мы наблюдаем бурный рост спроса на решения для прогнозирования, которые гарантируют последовательность, автоматизацию и повышенную точность.
- Customer Story Using artificial intelligence to decode dance patterns of beesAmesto NextBridge and Beefutures use visual analytics and machine learning to help protect and support healthy bee populations.
- Article Препятствий для построения моделей с помощью технологий искусственного интеллекта и машинного обучения нетМодели машинного обучения уже на протяжении пяти лет применяются российскими финансовыми организациями для оценки кредитного риска и валидации моделей. О том, насколько регуляторы готовы работать с моделями на базе технологий ИИ и машинного обучения, и пойдет речь в данном интервью.
- Article 5 способов измерить здоровье улья с помощью аналитики и потоковых данныхТакой аналитический подход к пониманию здоровья пчелиных ульев может автоматически предупреждать пчеловодов об изменениях в весе улья, температуре, летной активности и многом другом.
- Аналитический отчет The Total Economic Impact Of SAS Customer Intelligence 360Understand the cost savings and business benefits SAS marketing analytics solutions provide this financial services organization.
- Customer Story Revolutionizing marketing campaigns with AIAlliant relies on machine learning to create qualified marketing audiences for its clients.
- Вебинар Новый всплеск страхового мошенничества после COVID-19Вебинар основан на богатом практическом опыте SAS в области создания Аналитических Антифрод-систем для российских и международных страховых компаний.
- Article 5 советов по управлению данными, которые помогут вам улучшить работу с аналитикойСледуйте этим 5 рекомендациям по управлению данными, чтобы убедиться, что ваши бизнес-данные дают вам отличные результаты в рамках проведения аналитики.
- Article 4 совета по тегированию данныхЧем больше данных вы можете применить к бизнес-проблеме, тем лучше ее потенциальные решения. Несмотря на то, что сегодня компании не испытывают недостатка в данных, зачастую трудно узнать, какие данные у них уже есть и как их можно использовать.
- Article Гуманность в искусственном интеллектеЧто происходит, когда искусственный интеллект и люди работают вместе во имя решения глобальных проблем?
- Article Аналитика как инструмент для борьбы с зависимостью от рецептурных сильнодействующих препаратов и незаконно приобретенных наркотических веществШтаты и подразделения Medicaid, осуществляющие мошеннический контроль, теперь имеют аналитические инструменты, необходимые для изменения траектории кризиса опиоидов путем анализа данных и прогнозирования проблемных точек - будь то у пациентов, врачей, дистрибьюторов или производителей. Инструментарий от УГИ с бесплатным программным кодом SAS® делает это возможным.
- Article Внутренние ИТ-отделы становятся более значимыми для бизнесаИнновация – это вопрос данных. Это не секрет. Но как компания преобразовывает свои данные в бизнес-модели, чтобы стимулировать изменения?
- Article Прохождение «последней мили» аналитики в три шагаВнедрение аналитических моделей в производство может быть самой сложной частью аналитического пути. Неудивительно, что эта последняя миля аналитики - внедрение моделей в развертывание - является самой сложной частью инициатив в рамках цифровой трансформации, которую должны освоить компании, потому что она считается наиболее важной.
- Article Ускоряясь на пути внедрения искусственного интеллекта, подумайте о «качестве дорожного покрытия»ИИ-технология добилась огромных успехов за короткое время и готова к более широкому внедрению. Но поскольку организации наращивают усилия по ИИ, им необходимо проявлять особую осторожность, потому что, как скажет любой сотрудник полиции, даже небольшие выбоины могут создавать проблемы для транспортных средств, движущихся на высоких скоростях.
- Customer Story Достижения в области здравоохранения, основанные на анализе ДНКВ генетическом исследовании на уровне сообществ для улучшения здоровья населения штата Невада используются машинное обучение SAS и искусственный интеллект.
- Article Нереализованный потенциал в неструктурированном текстеТекст является крупнейшим источником данных, созданным человеком. Этот источник растет с каждым днем, когда мы публикуем посты в социальных сетях, общаемся с чат-ботами и цифровыми помощниками, отправляем электронные письма, ведем бизнес в Интернете, генерируем отчеты и, по сути, документируем наши повседневные мысли и действия с использованием компьютеров и мобильных устройств.
- Customer Story Artificial intelligence and IoT analytics keep aircraft operational for crucial missionsLockheed Martin revolutionizes aircraft maintenance with the SAS Platform.
- Customer Story Cancer treatment enters a new era with artificial intelligenceAmsterdam UMC uses the SAS Platform and AI solutions to increase speed and accuracy of tumor evaluations.
- Article Машинное обучение и искусственный интеллект в дивном новом миреКак взаимодействует человек и машина в дивном новом мире с ИИ?
- Аналитический отчет 5 Pitfalls to Avoid When Designing an Effective Data and Analytics Organization In this research report, Gartner examines five major pitfalls that significantly inhibit the design of an effective data and analytics organization, then discusses practical steps that data and analytics leaders can take to avoid them.
- Аналитический отчет Top Strategic IoT Trends and Technologies Through 2023In this report, Gartner examines 10 longer-term IoT technologies and trends that will be important in the 2018 through 2023 time frame.
- Аналитический отчет SAS is a Leader in The Forrester Wave™: Streaming Analytics, Q3 2017Streaming analytics are critical to building contextual insights for IoT, mobile, web and enterprise applications. Read the report to learn more.
- Аналитический отчет How Data Science Teams Leverage Machine Learning and Other Advanced AnalyticsGartner's 2017 customer reference survey for data science and machine learning platforms reveals how many organizations are undertaking data science initiatives.
- Article IoT: ускоритель взаимодействия с клиентами, который не стоит игнорироватьIoT представляет собой мощный источник данных, который в сочетании с аналитикой может дать представление обо всем, от поведения до эмоций и здоровья. И вот почему это ключ к улучшению качества обслуживания клиентов.
- Article Демо глубокого обучения для обнаружения опухолей печени при КТ-сканированииЭто пятый и последний пост в моей серии постов о модели глубокого обучения, которую я разработала для обнаружения опухолей в 3D КТ-сканировании печени. Эта статья посвящена точности модели и финальной демонстрации проекта.
- Article Доработка модели глубокого обучения для обнаружения объектовЭто четвертый пост в моей серии публикаций о проекте компьютерного зрения, над которым я работала, чтобы идентифицировать опухоли печени при КТ-сканировании.
- Article Построение передней части пайплайна компьютерного зренияЭто третий пост, описывающий проект компьютерного зрения, над которым я работала в SAS для выявления опухолей печени при КТ-сканировании. Сегодня я расскажу об обработке данных для данных изображений.
- Article Как использовать ИИ для выявления ракаНедавно мне предоставили удивительную возможность поработать над проектом в области биомедицинской аналитики изображений в сотрудничестве с крупным университетским медицинским центром. Целью проекта была разработка системы компьютерного зрения, которая будет выявлять опухоли при компьютерной томографии печени.
- Article Утконос: работа с данными как часть трансформацииЕсть огромный объем задач, в которых применение продвинутой аналитики даст более существенный эффект, чем традиционные подходы. И они совершенно точно должны решаться централизованно.
- Article Как ИИ и углубленная аналитика влияют на отрасль финансовых услугВедущие эксперты SAS обсуждают темы, которые волнуют мошенников и не дают спокойно спать руководителям компаний.
- Article ИИ в производстве: новые возможности для информационных и операционных технологийОпрос об ИИ показывает, что лидеры и первопроходцы в ИИ достигают значительных успехов, выявляют и расширяют возможности работы с ИИ, используя все больше и больше отделов в своих организациях.
- Article ИИ в банковской сфере: опрос раскрывает факторы успехаЧто банковские руководители говорят о своем опыте работы с ИИ? На чем они сосредоточены сегодня? Что работает? Какие у них планы на будущее?
- Article Пять технологий искусственного интеллектаОт машинного обучения до компьютерного зрения. Эти технологии подпитывают всеобщее помешательство на ИИ.
- Customer Story Zeroing in on property values with machine learningArtificial intelligence improves assessment accuracy and productivity in Wake County.
- Customer Story University aces data strategy to retain more studentsBetter student outcomes, million-dollar savings just the beginning for the University of North Texas.
- Customer Story Improving loss ratios and profitabilityTriad Analytic Solutions helps insurers benefit from advanced analytics.
- Customer Story Поиск лучших клиентов с помощью аналитикиSeacoast Bank enhances customer value using AI and SAS Visual Analytics on SAS Viya.
- Customer Story Partnership delivers powerful lessons for energy retailerRed Energy uses SAS Results to help launch its battery and solar operation.
- Customer Story Identifying potential trouble spotsFlorida DOC turns to SAS Analytics to help improve citizen safety.
- Article Этика ИИ: 3 шагаБудет ли искусственный интеллект полезен человечеству или приведет к ряду нежелательных последствий? Этика ИИ может быть одним из гарантов использования искусственного интеллекта во благо.
- Article Data Lineage делает искусственный интеллект умнееРазработайте стратегию управления данными с использованием Data Lineage и дайте возможность ИИ полностью раскрыть свой потенциал.
- Article Чат-боты: что это такое?Чат-бот – это форма разговорного искусственного интеллекта, предназначенная для упрощения взаимодействия человека с компьютерами. Используя чат-ботов, компьютеры могут понимать и реагировать на приход человека через устную или письменную речь.
- Article Монетизация данных в эпоху цифровой трансформации: роль и задачи ИТЦифровая трансформация стала основной темой обсуждений на недавней 22 ой конференции «ИТ в страховании». Участники сошлись во мнении, что внедрение и применение аналитических технологий для монетизации данных уже стало обязательным условием для качественных преобразований в отрасли.
- Article Гид: алгоритмы машинного обучения и их типыТермины «Машинное обучение» и «Искусственный интеллект» часто путают между собой. На самом деле, машинное обучение входит в область искусственного интеллекта. Ещё машинное обучение порой путают с прогнозной аналитикой (или предсказательным моделированием).
- Article Инновационные технологии с помощью Интернета вещей и искусственного интеллектаКто знал, что анализуя данные Интернета вещей можно найти лучший способ пробурить скважину? Или найти более быстрый способ остановить мошенничество в сфере здравоохранения?
- Article Персональные данные: разбираемся в GDPRЧтобы узнать больше о понятии «персональные данные», почему об этих данных говорят в новостях и почему они жестко регулируются Общим положением о защите данных (GDPR), мы пообщались с Джеем Экзэмом, юристом по вопросам конфиденциальности в SAS.
- Article What do drones, AI and proactive policing have in common?Law enforcement and public safety agencies must wrangle diverse data sets to be effective in their operations. Intelligence analysts are using that data to apply machine learning and AI for more proactive policing.
- Article Data governance: The case for self-validationLearn why you should redefine data governance policies to empower customers to be accountable for keeping their personal data accurate, consistent and up-to-date.
- Article Ключевые вопросы для запуска ваших проектов по аналитике данныхНет единого плана по работе над проектом по аналитике данных. Эксперт по технологиям Фил Саймон предлагает рассмотреть эти десять вопросов в качестве руководства.
- Article Data governance framework: What is it and do I already have one?A data governance framework encompasses a holistic approach to how you collect, manage and archive data.
- Article Soccer versus baseball: which is the best analogy for data governance?Is data governance more like baseball, featuring individual effort, or like soccer, where a team approach wins? Carol Newcomb evaluates the best sports analogy for data governance.
- Article Сколько вы теряете из-за неоптимального севооборота?Самое время перейти к летней практике и рассмотреть такую распространенную и понятную задачу, как планирование севооборота. Что будет, если добавить в эту задачу щепоточку искусственного интеллекта и несколько граммов математических методов?
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