SAS IS A LEADER IN THE INAUGURAL REPORT
The Forrester Wave™: AI Decisioning Platforms, Q2 2023
The report states that SAS has strengths in comprehensive data capabilities, decision intelligence technologies, user experience, breadth of authoring tools and ModelOps.
SAS’s flagship Viya platform includes beautifully designed interfaces across the entire data-to-decision lifecycle.
Explore More SAS Resources
To browse resources by type, select an option below.
-
- Select resource type
- Аналитический отчет
- E-Book
- Технический документ
- Технический документ
- Article
- Blog Post
- Book Excerpt
- Case Study
- Infographic
- Interview
- Research
- Series
- Video
- Вебинар
- Customer Story
-
Вебинар
The AI Advantage: How SAS Customer Intelligence 360 Solves Real Marketing ChallengesThe AI Advantage: How SAS Customer Intelligence 360 Solves Real Marketing Challenges. Join us to learn how AI can help you solve marketing challenges in an ethical and sustainable way.
-
Вебинар
Empowering Government Efficiency with SAS Managed Cloud Services on Microsft Azure GovernmentHear how government agencies like yours are using SAS® Viya® and SAS Managed Cloud Services to improve safety, optimize resources and deliver better outcomes.
-
Вебинар
Unlocking Data Trust for AI: What Every Leader Needs to Know in 2026Description
-
Вебинар
Real-Time Agent Assist and Next-Gen Strategy for Financial ServicesJoin this webinar and learn how financial institutions can maximize collections, improve effectiveness and monitor strategies.
-
Вебинар
The Sector Series | Game Changing AI Technology for Governments: Computer VisionGain the confidence to engage in conversations about AI and lead responsibly in this rapidly changing landscape.
-
Аналитический отчет
The Forrester Wave™: Real-Time Interaction Management, Q4 2025SAS showcases leadership with top notch AI workbench and predictive modeling.
-
Вебинар
Digital Twins – The Next Frontier in ManufacturingExplore how digital twins are revolutionizing manufacturing through real-time AI, immersive 3D and connected systems.
-
Article
AI transforms insurance: See 8 examples of how it worksUsing AI in insurance can boost value for customers, insurance companies and stakeholders alike. Examples range from stronger fraud detection and improved customer service to optimized underwriting processes and competitive advantage. Learn more about how AI is transforming the industry.
-
Article
AI and humanity: Collaborating to solve global problemsЧто происходит, когда искусственный интеллект и люди работают вместе во имя решения глобальных проблем?
-
Вебинар
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.
-
Аналитический отчет
Datos Matrix: Fraud and AML Case Management -
Article
What is AI modeling?AI modeling involves creating programs that use one or a combination of algorithms to allow computers to think, learn and predict outcomes. Much like a human brain, AI models absorb input data – numbers, texts, images, video, sound – to learn how to predict outcomes or solve specific tasks without explicit instructions at every step.
-
Вебинар
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.
-
E-Book
Decisions you can trust: A strategic guide to trustworthy data and AI decision makingDiscover how decision intelligence ensures AI agents act with context, ethics and transparency – delivering scalable, auditable and trusted outcomes.
-
Вебинар
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®.
-
Article
Five AI technologiesОт машинного обучения до компьютерного зрения. Эти технологии подпитывают всеобщее помешательство на ИИ.
-
Технический документ
Building a foundation for innovation: Five steps to keep your AML program efficient and effectiveWhite paper
-
Технический документ
Explainable Artificial Intelligence for Anti-Money LaunderingAn automated AML system should catch suspicious activity and be able to explain why it did so in a way that’s satisfactory to regulators. While machine learning techniques promise significant innovations for anti-money laundering efforts, they’re contained in "black boxes." This is hard to justify to regulators, and many financial institutions hesitate to invest in the technology for their AML programs. This paper takes a deep dive into how you can use explainable artificial intelligence (XAI) techniques to overcome this obstacle.
-
Article
Understanding digital twin technologyLearn how digital twin technology can change industries from health care to manufacturing, and shape the future of data modeling and process improvements.
-
E-Book
Making government work for everyone: A blueprint for public sector AI successAcross the globe, governments are looking for new ways to make public services work for everyone. When budget and resource constraints are tight, finding a smarter approach is the only option.
New research from Economist Impact shows that government agencies worldwide are turning to artificial intelligence (AI) to help them innovate and enhance service delivery for their citizens.
What will it take to turn your organization’s AI vision into reality? And how can you deliver AI-powered public services quickly, safely and successfully? The e-book provides a blueprint for public sector AI success.
Learn how to:
• Build your business case.
• Identify your requirements.
• Find your people.
• Get your data in shape.
• Start small and evolve incrementally.
-
E-Book
What are ready-made AI models? And why you need them.E-Book on SAS Models. This comprehensive resource will serve as the foundation for an engaging, interactive web experience.
-
Аналитический отчет
The Forrester Wave™: Anti-Money Laundering Solutions, Q2 2025 -
E-Book
Data-driven health careThe use of technology and data in the health care ecosystem continues to evolve. An extreme emphasis has been placed on digital health, AI, and the need for interoperability across various stakeholders in the healthcare ecosystem. Interoperability of different health care systems and devices to seamlessly exchange information is crucial to provide stronger health outcomes and patient engagement opportunities, enhance patient safety and operational efficiency, and reduce duplicated effort and potential for error.Discover how health care powered by data and technology will be the springboard to the future.
-
Технический документ
Rethinking risk: Smarter models, better decisionsModernizing and automating the end-to-end process for origination and servicing – from data management to model development to credit decisions – can reduce credit losses and boost performance. This paper explores how infusing machine learning into this process supports more effective credit decisions for individuals, products or portfolios.
-
Технический документ
The road to integrationHow far along are financial institutions on their AI and machine learning adoption journey, and where might these technologies deliver the most value?To find out, SAS partnered with the Association of Certified Anti-Money Laundering Specialists (ACAMS) and KPMG to survey more than 850 compliance professionals and ACAMS members. This report provides a snapshot of the survey results, including: · How many institutions are using AI and ML, including GenAI.· Reasons for adopting (or not adopting) these technologies.·How far along those surveyed are on their integration journey.
-
Article
What is synthetic data? And how can you use it to fuel AI breakthroughs?There's no shortage of data in today's world, but it can be difficult, slow and costly to access sufficient high-quality data that’s suitable for training AI models. Learn why synthetic data is so vital for data-hungry AI initiatives, how businesses can use it to unlock growth, and how it can help address ethical challenges.
-
Технический документ
Data and AI Present Significant Opportunities for Social Benefits SystemsIn today's rapidly evolving world, social benefits agencies, across the globe, face unprecedented challenges and opportunities. This report, authored by the International Institute for Analytics together with SAS experts, delves into how data and AI can revolutionize social benefits systems, making them more inclusive, efficient, innovative, and personalized.Key Takeaways:Addressing Disruptive Forces: Learn how changing demographics, growing public expectations, and increasing fraud threats are reshaping social benefits agencies and how data and AI can help overcome these challenges. Enhancing Payment Integrity: Discover advanced solutions to detect and prevent fraud, ensuring that benefits reach those truly in need while safeguarding public resources. Boosting Productivity: Explore how automation and AI can streamline processes, reduce administrative burdens, and free up staff to focus on more meaningful work. Improving Service Delivery: Understand the importance of digitizing services and providing personalized, multi-channel support to meet diverse recipient needs. Driving Data-Driven Decisions: Gain insights into building a robust data foundation, leveraging analytics, and fostering a data-driven culture within social benefits agencies. This paper helps to guide a roadmap for leveraging data and AI to create a more responsive, productive, and equitable social benefits system. Register here
-
Технический документ
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
5 Tips for Using GenAI to Improve Customer Experience Imagine predicting customer needs, automating tasks and generating personalized content — all while improving your bottom line. Generative AI is reshaping how businesses use data, enabling smarter decisions and streamlined operations. This guide offers actionable advice on how to harness GenAI's full potential, covering key tips for data management, governance and transparency. Ready to transform your business? Download the e-book now to discover how SAS and AWS can help you harness the power of GenAI.
-
E-Book
How to govern your AI strategy in a highly regulated worldIt’s no longer a case of “if” an organization adopts AI but “when.”
The technology is rapidly advancing and transforming the workplace and society at large, but it comes with risks. That’s where governance comes in. Governance is essential to the reliable, transparent and ethical performance of AI. But the clear lack of oversight of the technology is putting many organizations at risk of noncompliance with incoming regulations around AI, such as the EU AI Act.
This e-book will reveal:
· Why AI governance is so important and what successful governance looks like.
· The five key drivers for implementing AI governance today.
· The risks of poor governance and growing regulatory pressure.
· A practical approach to implementing AI governance.
-
Технический документ
Boosting Tax Agency Productivity and Protection with AI and Generative AIGenerative AI (GenAI) technology is gaining momentum rapidly, not just in businesses and government agencies, but also among those trying to defraud them. Tax agencies have potentially valuable uses of GenAI in process productivity, taxpayer service, and staying ahead of fraudsters by augmenting fraud detection and threat simulation. Given the new and sometimes uneven capabilities of GenAI, agencies should be approaching it with both purpose and caution. To explore these opportunities and threats, IIA spoke with SAS global tax and revenue compliance experts Teya Dyan, Principal Industry Consultant, based in North America, Ensley Tan, Principal Industry Consultant, based in Asia Pacific, and Alexandre Negadi, Senior Industry Consultant, based in Europe.
-
E-Book
Your journey to a GenAI future: A strategic path to success in health careGenAI is at the forefront of global health care innovation and is here to stay. Health care organizations at large are leaning into the promise of advanced technologies with the intent to streamline operations and deliver stronger health outcomes for patients all over the world. But in a highly regulated, protected and data-sensitive sector, how is this technology being used? And how will health care organizations keep patient data safe while implementing cutting-edge technologies like GenAI?
In this report, you’ll discover:
• How health care organizations are approaching GenAI adoption compared with other sectors.
• The specific areas where health care already sees GenAI drive results – and where they’re still navigating uncertainty.
• How GenAI investments in health care stack up against other sectors and where these industries are placing their bets.
• Practical strategies to overcome the challenges of GenAI implementation, ensuring you maximize your return on investment (ROI) and stay ahead of the curve.
-
Аналитический отчет
Chartis RiskTech Quadrant for AML Transaction Monitoring Solutions, 2024SAS is a category leader in Chartis' RiskTech Quadrant for AML Transaction Monitoring Solutions, 2024. According to Chartis, SAS' AML transaction monitoring solutions emphasize speed, volume and performance.
-
E-Book
Your journey to a GenAI future: A strategic path to success in life sciences and pharmaAs generative AI continues to make waves across both headlines and boardrooms, the life sciences industry is unlocking new possibilities that could reshape the future. This sector, known for managing vast, intricate data sets and safeguarding sensitive patient information, is poised to harness GenAI for groundbreaking advancements. In life sciences, GenAI isn’t just a buzzword – it’s a game changer with the potential to revolutionize innovation, productivity and patient care.
Our latest insights on GenAI come from a comprehensive survey of 1,600 organizations across the globe, offering a deep dive into how different industries are approaching GenAI. Specifically, we focused on the responses of 237 senior life sciences leaders who are at the forefront of shaping GenAI, data and analytics strategy.
In this report, you’ll discover:
• How the life sciences industry is leading or lagging in GenAI adoption compared with other sectors.
• The specific areas where the industry is already seeing GenAI drive results – and where it is still navigating uncertainty.
• How GenAI investments in life sciences stack up against other sectors and where the industry is placing its bets.
• Practical strategies to overcome the challenges of GenAI implementation, ensuring you maximize your return on investment (ROI) and stay ahead of the curve.
-
Аналитический отчет
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.
-
E-Book
Real-Time Hyperpersonalization in HospitalityIn this era where one-size-fits-all approaches are becoming obsolete, real-time personalization is transforming the guest experience. By using advanced predictive analytics and machine learning, cruise operators can now craft and optimize next-best offers tailored to each guest's unique preferences and behaviors. This cutting-edge approach enhances every aspect of the journey, from dining and entertainment to shore excursions and onboard shopping.
This e-book explores how modern cruise lines are harnessing the power of real-time data processing and advanced analytics to create seamless, personalized experiences. You'll learn more about Norwegian Cruise Line's success story, exploring how technologies like SAS Event Stream Processing and SAS Machine Learning can turn vast amounts of data into actionable insights, setting new standards for personalization to not only elevate guest satisfaction but also drive significant business value.
-
Технический документ
Revealing the paths to 2040: four possible scenarios for insuranceFrom extreme weather events and natural disasters to geopolitical volatility and shifting demographics, insurers face increasing numbers and varieties of disruptions and uncertainties. At the same time, longstanding risk models are upended by rapid technological advances and evolving market needs. Opportunities abound – but the future is unclear.This Economist Impact report, informed by expert interviews and an analysis of megatrends, presents insurers with four possible scenarios for the world in 2040. Each path forward describes a potential future, reflecting two main drivers of change: – Pace of technological evolution.– Level of global cooperation. How will insurance evolve? Challenge your assumptions as you delve into these scenarios, considering along the way how you should prepare.
-
E-Book
A Comprehensive Approach to Trustworthy Data and AI GovernanceAI is revolutionizing human life and unlocking a whole new world of innovation. As AI becomes more prevalent, it will affect nearly every aspect of society from our professional to personal lives. Organizations that can demonstrate responsible and ethical use of AI are more likely to be commercially successful. This is where Trustworthy AI – a system designed to ensure safety, reliability and ethical practices – can help.
Trustworthy AI is an AI system designed, developed and deployed with human-centricity in mind. These systems incorporate appropriate levels of accountability, inclusivity, transparency, completeness and robustness to promote human agency and prevent human harm.
In this eBook you will discover:
The business need for ethics in AI
Why you should embrace Trustworthy AI
How to establish Trustworthy AI governance
The 6 SAS principles to guide your Trustworthy AI strategy
How the SAS Data Ethics Practice supports Trustworthy AI
-
E-Book
Five reasons developers hit a productivity wall – and what to do about itThis e-book from SAS and AWS takes a closer look at the productivity obstacles developers face and how they can be overcome with the help of SAS Viya Workbench. Make productivity blockers a thing of the past.
-
Article
Unlocking a strategic approach to data and AIAI is only as good as the data that powers it – this is a fundamental truth about data and AI that defines the limits of what’s possible with artificial intelligence. It may seem surprising, but it's rarely a bad algorithm or a bad learning model that causes AI failures. It's not the math or the science. More often, it's the quality of the data being used to answer the question.
-
E-Book
Your journey to a GenAI future: An insurer’s strategic path to successThe insurance industry is rapidly embracing generative AI technology, recognizing its extraordinary capabilities through high rates of personal and organizational usage. Overwhelmingly, insurance companies around the globe plan to invest in GenAI over the next year, and most have a dedicated budget in place. Yet many lack sufficient budgeting for GenAI governance, and most governance frameworks are still in development.
Recent research compiled survey results from 1,600 global organizations across a wide range of sectors. In this report, we drilled down to the 236 respondents who are senior decision makers in GenAI strategy or data analytics in the insurance sector.
Read the results to understand insurance firms’ unique perspectives on GenAI – including how the industry compares to other sectors, how you can proactively prepare for implementation challenges, what the most promising business opportunities are, and which issues are the top concerns.
-
Технический документ
From Data to Decision: Increasing AI Productivity with SAS ViyaFuturum is running benchmark studies on productivity advantages of SAS vs. opensource and other vendors. This Futurum Lab Report will be part of the Just the Facts campaign.
PLN_27165
-
E-Book
Your journey to a GenAI future: A strategic path to success for governmentAs generative AI (GenAI) accelerates into the mainstream, organizations of every kind are seeing the transformative potential of the technology. Many government organizations handle huge data sets, hold sensitive personal information and synthesize details about entire populations. For government, GenAI could create a paradigm shift in productivity and capability.
Our research findings are based on a new survey of 1,600 organizations from a wide range of sectors worldwide. To better understand the unique perspectives that government organizations have about GenAI, we examined the responses from the 237 senior leaders who are responsible for making decisions on GenAI strategy or data analytics.
This report uncovers:
• How governments are implementing GenAI compared to other sectors.
• Which areas governments are already seeing the benefits of GenAI and where they feel less confident.
• How government investment stacks up against other sectors and where it’s being spent.
• How you can proactively prepare for the challenges of implementing GenAI to ensure a strong ROI
-
Технический документ
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.
-
E-Book
Marketers and GenAI: Diving Into the Shallow EndMarketers are leading in GenAI use, but it’s only surface level. What’s needed to take the next step?
-
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.
-
Аналитический отчет
The Forrester Wave™: AI / ML Platforms, Q3 2024SAS Viya offers strong capabilities for data ingestion and preparation, and the platform shines with its capabilities for model evaluation and assessment.
-
Аналитический отчет
IDC MarketScape: Worldwide Decision Intelligence, 2024SAS is a leader In this inaugural report from IDC MarketScape.
-
Технический документ
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.
-
E-Book
On the Road to Accelerating Claims AutomationMore than ever, insurance companies need to provide customers with seamless interactions that save them time, minimize hassle, and make them feel seen, understood, and cared for. Many are also exploring the use of AI for claims prevention – for example, by creating new risk mitigation services. All of this requires investment in digital technologies that work together to enable intuitive, Amazon-like customer experiences. This ebook explores how insurers can make the leap to digitally transformed, intelligent claims processes that customers love and increase operational efficiency and reduce costs.
-
Article
AI anxiety: Calm in the face of changeAI anxiety is no joke. Whether you fear jobs becoming obsolete, information being distorted or simply missing out, understanding AI anxiety can help you conquer it.
-
E-Book
Enabling trusted AI and data-driven decisions at scaleDiscover how successful organizations build a coherent analytics and AI strategy to differentiate themselves and seize a competitive advantage.
-
E-Book
Intelligent decisioning in governmentGovernments can incorporate AI-driven decisioning into existing business processes to take advantage of digital transformation benefits. Through automated processes, deeper insights and the ability to act quickly, governments can innovate service delivery, drive efficiency and help build a better future.
-
E-Book
Government navigating an uncertain worldHow governments can harness data,
advanced analytics, and trustworthy AI to
prepare for the unexpected—and respond
faster to protect and improve citizens’ lives.
-
Article
Fraud detection and machine learning: What you need to knowМашинное обучение является важной частью инструментария обнаружения мошенничества. Вот что вам нужно для начала работы.
-
Article
Fraud detection and machine learning: What you need to knowМашинное обучение является важной частью инструментария обнаружения мошенничества. Вот что вам нужно для начала работы.
-
Технический документ
Generative AI in Health Care: Opportunities and CautionsLearn how GenAI will affect all aspects of health care, from cost containment to patient care., and the importance for organizations to recognize both the potential and the limits of this new technology and be alert to how it’s being used to perpetrate fraud.
-
Технический документ
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.
-
Аналитический отчет
Gartner® Magic Quadrant™ Data Science and Machine Learning, 2024SAS Viya focuses on providing a scalable DSML platform suited to a wide range of industry use cases, with proprietary algorithms, coding language and models, as well as open-source integration.
-
Технический документ
Ready to see results from your actuarial investments?More than 88% of actuaries say SAS has improved their way of working. Benefits include reduced operational costs, improved scalability of the actuarial process, portfolio optimization and faster premium deployment.
Want to learn more? Check out four scenarios we developed to illustrate the benefits insurers could potentially achieve based on their company size, structure and other variables. These examples represent potential benefits only and do not guarantee any certain result or compliance goal.
-
Технический документ
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.
-
Аналитический отчет
SAS is a Leader in The Forrester Wave™: Customer Analytics Technologies, Q2 2024SAS® Customer Intelligence 360, which helps craft compelling next-best experiences tailored to wherever customers are in their journeys, is named a Leader in The Forrester Wave.
-
E-Book
Detect and halt risky payments across the life sciences supply chainCut fraud, waste, error and abuse with a data-driven approach to payment integrity
It’s estimated that 4.57% of the total annual procurement spending in the private sector is lost to fraud and error. What would be the impact to life sciences organizations if you could stop that flow of cash out of the business? Even for smaller organizations, improving payment integrity could free up significant capital for strategic investments. In R&D, for example, it could free up funds for strategic acquisitions or returning cash to shareholders.
In this e-book, we’ll look at how a smarter, more data-driven approach to payment integrity helps life sciences companies gain faster and deeper visibility into their spending across R&D, manufacturing and distribution. A data-driven approach also helps highlight potential anomalies in real time for investigation by human experts.
-
Article
What are AI hallucinations?Separating fact from AI-generated fiction can be hard. Learn how large language models can fail and lead to AI hallucinations – and discover how to use GenAI responsibly.
-
E-Book
The insurance data and AI revolutionInsurers face continual disruptions these days as they respond to price sensitivity, the push for sustainable practices, evolving regulations, climate change issues and all types of heightened risks. How should they respond?
-
Article
What are chatbots?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.
-
Customer Story
Modern, real-time marketing grew membership and incremental sales for leading grocery retailerMigros uses SAS MarTech solutions to personalize customer journeys, optimize campaign strategies and enhance customer engagement.
-
Технический документ
SAS® Product Security FrameworkUnderstand the SAS Product Security Framework and the security protocols and processes that SAS uses.
-
Article
Shut the front door on insurance application fraud!Как выявить, что вас обманывают агенты и страхователи, а также распознать первые признаки будущего мошенничества.
-
Article
4 strategies that will change your approach to fraud detectionAs fraudulent activity grows and fighting fraud becomes more costly, financial institutions are turning to anti-fraud technology to build better arsenals for fraud detection. Discover four ways to improve your organization's risk posture.
-
E-Book
ModelOps Explained: A Starter’s Guide to Deploying and Managing AI and Analytical ModelsInterviews with analysts at IDC and Gartner, along with survey results from SAS and Omdia, provide guidance on how to overcome the barriers to operationalizing analytics.
-
Аналитический отчет
The Forrester Wave™: AI Decisioning Platforms, Q2 2023The Forrester Wave™: AI Decisioning Platforms, Q2 2023 recognizes SAS for seamlessly integrating world-class analytics for decisioning.
-
Аналитический отчет
Celent: Insurance Fraud Detection Solutions: Health Insurance, 2022 EditionSAS was named a Luminary in Celent's Insurance Fraud Detection Solutions: Health Insurance, 2022 Edition, excelling in both Advanced Technology and Breadth of Functionality.
-
Технический документ
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.
-
Article
Viking transforms its analytics strategy using SAS® Viya® on AzureViking is going all-in on cloud-based analytics to stay competitive and meet customer needs. The retailer's digital transformation are designed to optimize processes and boost customer loyalty and revenue across channels.
-
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.
-
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.
-
Article
Использование Python в решениях SAS Intelligent Decisioning 5.4Начиная с версии 5.3, у пользователя появилась возможность легко встроить скрипт Python в решение SAS ID. Теперь Python исполняется в MAS без необходимости дополнительной обёртки в DS2 - узел кода Python сделает это за вас.
-
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
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.
-
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%
-
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?
-
Customer Story
Revolutionizing marketing campaigns with AIAlliant relies on machine learning to create qualified marketing audiences for its clients.
-
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.
-
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.
-
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.
-
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
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
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
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
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.
-
Вебинар
An Artificial Intelligence Framework to Combat Human Trafficking How text analytics and visualization can shine a light on one of the most pressing human rights issues of our time.
-
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.
-
Customer Story
Artificial intelligence and IoT analytics keep aircraft operational for crucial missionsLockheed Martin revolutionizes aircraft maintenance with the SAS Platform.
-
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.
-
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.
-
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 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?
-
Customer Story
Modernizing consumer lending in VietnamVietCredit aims to revolutionize the consumer finance market with SAS.
-
Customer Story
Поиск лучших клиентов с помощью аналитикиSeacoast Bank enhances customer value using AI and SAS Visual Analytics on SAS Viya.
-
Article
Data Lineage делает искусственный интеллект умнееРазработайте стратегию управления данными с использованием Data Lineage и дайте возможность ИИ полностью раскрыть свой потенциал.
-
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?
-
Customer Story
Advanced analytics can detect and prevent insurance fraud before losses occur | SAS -
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.
-
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.
-
Customer Story
Zeroing in on property values with machine learningArtificial intelligence improves assessment accuracy and productivity in Wake County.
-
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: 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: 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: 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.
-
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.
-
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.
-
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.
-
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.
-
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).
-
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
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.
-
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.
-
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.
-
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.
-
Article
Wanted: AI leadersDo you have what it takes to be an AI leader? In this growing field, people skills, innovation and ethics are more important than expertise in artificial intelligence technologies.
-
Article
Машинное обучение и искусственный интеллект в дивном новом миреКак взаимодействует человек и машина в дивном новом мире с ИИ?
-
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.
-
Article
Insights Page
Искусственный интеллект - Что это такое и почему это так важноИскусственный интеллект (ИИ) позволяет компьютерам обучаться на собственном опыте, адаптироваться к задаваемым параметрам и выполнять те задачи, которые раньше были под силу только человеку.
-
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.
-
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.
-
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.
-
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.
-
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.
-
Article
How to improve your AI marketing skillsMarketing teams can use current AI capabilities to enhance their efforts around campaign automation, dynamic pricing based on forecasting models, and by providing more relevant, real-time customer offers.
-
Article
Как API-интерфейсы изменят роль специалистов по data science?Интерфейсы прикладного программирования, или API-интерфейсы, способны коренным образом изменить лицо аналитики.
-
Технический документ
Advanced Analytics: Moving Toward AI, Machine Learning, and Natural Language Processingadvanced analytics, artificial intelligence, machine learning, natural language processing
-
Article
Искусственный интеллект, машинное обучение, глубокое обучение, и что все это значитПонимание технологий искусственного интеллекта и того, как они ведут к созданию умных приложений
-
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.
-
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.
-
Article
Машинное обучение для чайников (и не только)10 советов для тех, кто хочет преуспеть в области машинного обучения
-
Технический документ
TDWI Navigator Report: Predictive AnalyticsPredictive Analytics
-
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.
-
Article
5 machine learning mistakes and how to avoid themMachine learning is not magic. It presents many of the same challenges as other analytics methods. Learn how to overcome those challenges and incorporate new techniques into your analytics strategy.
-
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.
-
Article
Student lands dream job with help from SASA strong partnership between the University of Alabama and SAS put Cameron Jagoe on a path that led to his dream job with US Bank.
-
Article
When it matters: Safeguarding your organization from the insideWith evolving threats, fraud detection technologies have to be flexible and nimble, and automated risk detection is a crucial component of decision advantage.
-
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.
-
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?
-
Article
Stopping the Zika virus: The potential of big data, analyticsHow do you stop global outbreaks? The answer may be in the data about the disease and how it spreads.
-
Технический документ
Operationalizing and Embedding Analytics for ActionOperationalizing and Embedding Analytics
-
Article
Ваш персональный data scientistImagine pushing a button on your desk and asking for the latest sales forecasts the same way you might ask Siri for the weather forecast. Find out what else is possible with a combination of natural language processing and machine learning.
-
Article
Introduction to machine learning: Five things the quants wish we knewMachine learning is gaining momentum thanks to bigger, more complex data sets. How does it work? Kimberly Nevala from SAS Best Practices explains what it is by focusing on what it isn't.
-
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
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.
-
Технический документ
TDWI Best Practices Report | Faster Insights from Faster Dataresearch report on improving speed to insight
-
Технический документ
Unified Platforms for Modern AnalyticsBest practices report about unified analytics platforms from TDWI.
-
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.
-
Технический документ
Building the Data-Intelligent Enterprise: Tap the Power of Technology and PartnersThe value of an intelligent enterprise is clear, but operationalizing analytics can be a long and complex journey. There is no magic bullet or singular solution. Rather, it takes the support of strategic partnerships to create a cohesive strategy and deployment road map that will accelerate deployment and maximize value from analytics investments.
-
E-Book
Getting started with ModelOpsDeployment – the infamous "last mile" of analytics – is a challenge, with many development projects never being deployed at all. Explore how ModelOps can help by redefining how you deploy models.
-
Технический документ
What You Need to Know About Data & Digital TransformationCompanies need to know how to use data to meet client needs, hire the right talent, measure performance and communicate their brand’s promise. This collection will cover how to adopt and analyze data and use it as part of your digital transformation.
-
Технический документ
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
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.
-
Технический документ
Intelligent Decision Automation for Telecommunications in the Digital AgeLearn how communications providers who adapt and embrace analytics and AI will unlock opportunities by converting current processes to be reliably smart, such as credit risk, fraud and collections.
-
E-Book
Brilliant decision? In the battle for consumers’ hearts and minds, retailers have typically focused their digital transformation initiatives on customer experience and engagement. However, in these challenging times, it’s not enough to just get the customer’s attention — you need to convert impressions and site or store visits into sales and fulfilled orders.
-
Технический документ
The Total Economic Impact™ of SAS® Viya® on AzureA Forrester Total Economic Impact Study on the cost savings and business benefits enabled by SAS Viya on Azure.
-
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
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.
-
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.
-
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.
-
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
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.
-
Технический документ
TDWI Checklist Report Six Best Practices to Ignite the Customer Experience with IoTcustomer data, IoT
-
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.
-
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
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
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
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.
-
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.
-
Вебинар
Certification: AI and Machine Learning Professional Credential Overview Learn tips for success in earning the SAS® Certified AI and Machine Learning Professional credential.
-
Вебинар
Fostering Trustworthy AI Using a Model CardJoin this webinar to learn how to create a model card in order to build trustworthy AI models.
-
Вебинар
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.
-
Вебинар
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.
-
Вебинар
SAS Model Studio: Getting StartedNew users will learn what SAS Visual Data Mining and Machine Learning is, and what it can do.
-
Вебинар
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.
-
Вебинар
Create a Resilient Data and Analytics Strategy to Make Informed Decisions in Uncertain Times Learn specific analytic strategies to weather the storm during hard times – and thrive after they’ve passed.
-
Вебинар
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.
-
Вебинар
Data Governance Doesn’t End Where the Cloud BeginsLearn why a strong data governance strategy is needed to support your move to the cloud.
-
Вебинар
Keys to the Kingdom: The Necessity of Analytics in Gaming and HospitalityLearn how to apply analytics to the data you already have to capitalize on the digital transformation, improve the customer experience and boost your bottom line.
-
Вебинар
Analytically Driven Decisions: How to Drive Transformation and Impact to CompeteTune in to learn how you can make the right decision – in every moment – by applying powerful, trusted analytics to your data.
-
Вебинар
ModelOps: Repeatable, Efficient Machine Learning At ScaleDiscover the core capabilities and tools to manage the model life cycle in a consistent, scalable manner.
-
Вебинар
Decisioning: Transformation’s Real DriverTune in to hear experts from SAS discuss how decisioning drives real-time interactions and automates operational decisions at scale
-
Вебинар
Introducing DataOps Into Your Data and Analytics DisciplineExplore how SAS® can connect all aspects of the analytics life cycle, including DataOps, AI and ModelOps, to get the most value from your investment.
-
Вебинар
Orchestrating Your Multi-Wave Campaigns Through Scheduled JourneysDiscover how you can use scheduled journeys to optimize your marketing campaigns.
-
Вебинар
ESP Project Containers – How to Enhance ESP Models Deployment and OperationalizationJoin this webinar to learn the benefits of project containers and how to create and run them using SAS Event Stream Processing clients. You’ll see how containerized models simplify the promotion and lifecycle management of event stream processing models.
-
Вебинар
AI Snapshot: Three Key Developments Shaping AI Strategies Right NowTune in to hear AI experts unpack recent developments in AI and what they mean for software investments, resource allocation, talent recruitment and more.
-
Вебинар
Breaking Down AI Capabilities for IT: What to Know About Computer Vision and GPUsHear from an IT director about the technical requirements and major considerations for deploying and supporting computer vision.
-
Вебинар
Breaking Down AI Capabilities for IT: What to Know About ForecastingLearn about the technical requirements of forecasting through the lens of IT management.
-
Вебинар
AI and Banking: Survey Reveals Success FactorsWhether you are a business or technology leader in banking, this must-attend webinar will give you a clearer, current, data-driven picture of the state of AI in banking and where it’s heading.
-
Вебинар
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.
-
Вебинар
Breaking Down AI Capabilities for IT: What to Know About OptimizationHear from an IT Director about the technical requirements and major considerations for deploying optimization in your computing environment.
-
Вебинар
Breaking Down AI Capabilities for IT: What to Know About Machine LearningLearn about the technical requirements of machine learning through the lens of IT management.
-
Вебинар
Synergize Your Tech Stack to Realize AI’s Full Potential Learn how organizations get exponential impact through a layered AI technology stack.
-
Вебинар
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.
-
Вебинар
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.
-
Вебинар
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.
-
Вебинар
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.
-
Вебинар
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.
-
Вебинар
How Do I Use SAS® Model Manager?Join this webinar to learn how to get started using SAS Model Manager.
-
Вебинар
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.
-
Вебинар
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.
-
Вебинар
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.
-
Вебинар
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.
-
Вебинар
ModelOps with SAS® Model Manager and Azure Machine LearningBuild in SAS, deploy anywhere in the Microsoft Cloud
-
Вебинар
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.
-
Вебинар
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.
-
Вебинар
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.
-
Вебинар
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.
-
Вебинар
What Are the Ways to Diagnose Infeasibility?Diagnose and understand why an optimization problem is infeasible
-
Вебинар
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.
-
Вебинар
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.
-
Вебинар
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.
-
Вебинар
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.
-
Вебинар
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!
-
Вебинар
How to Prep for the Statistics for Machine Learning Specialist CertificationAdvance your machine learning knowledge and learn about earning additional certifications from SAS
-
Вебинар
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.
-
Вебинар
Getting Started With SAS® Visual Data Mining and Machine LearningJoin this webinar to learn how to build models interactively, through pipelines and through programming.
-
Вебинар
What Is Deep Learning?Join this webinar to learn the fundamentals of deep learning and how to use deep learning in SAS.
-
Вебинар
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.
-
Вебинар
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.
-
Вебинар
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.
-
Вебинар
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®.
-
Вебинар
How To Make Your LLM Work For YouJoin this webinar to explore core techniques for effectively building with large language models (LLMs).
-
Вебинар
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.
-
Вебинар
Solving the Dilemma of Smart Things for IT LeadersDiscover the similarities between AI and IoT – and how together they help make organizations smarter, more innovative and more agile.
-
Вебинар
Generative AI: What Boards of Directors Should ConsiderLearn effective, cost-efficient and compliant ways to implement generative AI and large language model analytics.
-
Вебинар
Advanced Analytics: Generative AI for the Insurance IndustryAn introduction to how generative AI can help improve decision making and save money for property and casualty and life insurers
-
Вебинар
To Trust AI, Understand AITo successfully deploy AI, you must first become familiar with the lexicon and learn about the role of foundational concepts such as trust and ethics.
-
Вебинар
AI in Health Care: Enhance Clinical and Operational Decision MakingAI is revolutionizing the health care sector. Join SAS and Microsoft to explore innovative AI solutions for better patient outcomes and efficient care delivery.
-
Вебинар
Deploying AILearn how to consistently and reliably deploy and maintain AI applications.
-
Вебинар
AI for Supporting Vaccine Adverse Event ReportingThis webinar is focused on using artificial intelligence and machine learning algorithms to tackle big data related to vaccine development.
-
Вебинар
Optimizing Logistics Operations Using Customized SolutionsJoin this webinar to learn how you can optimize logistics routing operations to improve operational efficiency.
-
Вебинар
Maximize the Business Value of AI With Modern Data ManagementJoin this webinar to learn the data management path to AI and analytics success.
-
Вебинар
AI Acceleration and the Future of InnovationDiscover what leading technology experts are saying about AI today and what we can expect in the future
-
Вебинар
Model Explainability Discover how you can see into the black box and explain what is happening with your algorithms.
-
Вебинар
SAS’ Generative AI Strategy for Enterprise TransformationJoin this webinar to discover SAS’ generative AI transformative power, product strategy and vision for the future.
-
Вебинар
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.
-
Вебинар
How to Think About Trustworthy AI in 2024 and BeyondLearn how trustworthy AI works and how to best use it to your organization’s advantage while avoiding common pitfalls.
-
Вебинар
Generative AI Meets AML: Elevating Compliance Standards in Banking Join us as we explore real-world examples, key insights and what the future holds for GenAI in AML compliance.
-
Вебинар
To Err is Human. So is AI.Learn how to manage uncertainty in AI by improving transparency and accountability.
-
Вебинар
Your Next Analytics Project: Aligning Business Needs With Time, Cost and RiskJoin this webinar to discover strategies to ensure a successful analytics upgrade.
-
Вебинар
Generative AI May Pose One of the Greatest Compliance Challenges for Tax Agencies. What Can Be Done?Join SAS experts Teya Dyan and Alexandre Negadi for a live webinar as we explore how GenAI fuels tax fraud and how tax agencies can combat it.
-
Вебинар
Generative AI in Fraud and Financial CrimesChallenges and opportunities for financial institutions
-
Вебинар
Public Comment Analysis for Federal Rulemaking Gets a Boost From NLP and Generative AIJoin this webinar to hear how SAS and Booz Allen Hamilton have partnered to enhance the federal rulemaking public comment analysis process through natural language processing (NLP) and GenAI.
-
Вебинар
Market Pulse on GenAI: How to Achieve Enterprise ROI Gain actionable insights to harness GenAI effectively, ensuring you avoid costly pitfalls.
-
Вебинар
Accelerate Innovation With Responsible AILearn how to approach responsible AI with data protection, bias mitigation and governance.
-
Вебинар
Generative AI: Transforming Drug Development in Life SciencesHow GenAI is benefitting pharmaceutical development today and where it may lead in the future
-
Вебинар
Composite AI: What It Is and Why You Should CareLearn how to apply the best combination of AI technologies and techniques to solve the unique challenges you face.
-
Вебинар
Breaking Down AI Capabilities for IT: What to Know About NLPLearn about the technical requirements of natural language processing through the lens of IT management.
-
Вебинар
Generative AI for Financial Services: Leveraging Large Language Models + Natural Language Processing for Problem SolvingLearn how financial institutions use innovative natural language processing (NLP) and large language models (LLMs) to drive tangible results.
-
Вебинар
AI-Embedded IoT Analytics: Getting StartedJoin us to learn the basics of AI-embedded IoT analytics, including exploring and understanding IoT data in a new light.
-
Вебинар
How Can I Process Scanned Document Images in SAS® Viya®?Join this webinar to learn how SAS document vision helps ensure efficient workflows and results in significant time savings compared to manual reviews.
-
Вебинар
5 Tips for Using GenAI to Improve Your Customer ExperienceLearn how generative AI is reshaping CX for businesses across industries.
-
Вебинар
The Future of Marketing With Gen AIDiscover how businesses are preparing to invest in gen AI for their marketing projects and other advanced applications to get ahead.
-
Вебинар
Optimizing the Use of Marketing Technology to Build Customer TrustMartech leaders using analytics, AI and other tools can optimize their marketing, build customer trust and derive greater value from their efforts.
-
Вебинар
Unlocking Greater Productivity for Data and AI Teams: Insights From the Latest Futurum Group Study Struggling with a shortage of AI talent? You’re not alone! Join our upcoming webinar to explore how to boost productivity in the data and AI life cycle despite the skills gap.
-
Вебинар
Getting Payback From Generative AILearn why large language models (LLMs) could hold the key to making the most of generative AI.
-
Вебинар
How Ready-Made AI Models Accelerate Value From Health Care Data The health care industry has an immense amount of data, but how much is going unused? Ready-made AI models can take that data and transform it into value.
-
Вебинар
Getting ROI From AI With Modern Data ManagementRealizing the full potential of AI and analytics is crucial to achieve real-world business objectives.
-
Вебинар
The Smart Path Forward: Modernizing From SAS®9 to SAS® Viya®Join industry leaders to explore how this strategic transition can transform your analytics capabilities
-
Вебинар
The Future of AI Governance: Merging Oversight, Culture and TechnologyLearn how trust and transparency in AI decisions can be strengthened across the organization.
-
Вебинар
Navigating the AI Era: Building Trust, Driving ROI and Scaling InnovationThis webinar addresses these critical challenges by introducing a comprehensive AI blueprint – a proven methodology designed to bridge the gap between AI ambition and execution.
-
Вебинар
Applied AI for Your Industry: Drive ROI With Ready-Made AI ModelsHow ready-made AI models can help organizations bypass AI adoption challenges
-
Вебинар
Feeding Accuracy: Innovate SNAP Quality Assurance Using Data and AIStates are scrambling to comply with new federal legislation affecting the Supplemental Nutrition Assistance Program (SNAP), which serves about 12% of the US population and remains a vital lifeline in providing food benefits for families across the United States.
-
Вебинар
The Future of AI - Why Trust and Governance MatterHear from SAS and Intel experts on why trust must be the foundation of your GenAI integration.
-
Вебинар
Predictive Safety: Harnessing AI and Analytics for Risk PreventionProtect your people, patrons and operations by adding smart information technology to your safety management system
-
Вебинар
The Sector Series | Game Changing AI Technology for Governments: An Introduction to Artificial and Generative Intelligence for Public Sector LeadersJoin us as we explore real-world examples, key insights and what the future holds for GenAI in AML compliance.
-
Вебинар
Does Trust Matter? Bolstering Your Reputation and Increasing Value With AI. Do your customers and employees trust AI? Should they? Does it matter?
-
Вебинар
Turning Insight Into ImpactScaling smarter business decisions with SAS Decision Builder on Microsoft Fabric.
-
Вебинар
Accelerating AI and Analytics in the Cloud: A Practical Path Forward With SAS and MicrosoftAs organizations accelerate their digital transformation, the cloud has become a cornerstone for modern analytics, offering agility, scalability and security. But for many teams, the journey to the cloud can feel complex, costly or out of reach.
-
Вебинар
The Sector Series | Game Changing AI Technology for Governments: Machine LearningLead responsibly with knowledge of machine learning in this era of AI
-
Вебинар
Agentic AI in Practice: Transforming Workflows and Employee ProductivityJoin AI experts to explore the transformative potential of agentic AI, moving beyond headline buzz to tangible business value.
-
Вебинар
A modernization success story: How one bank’s move to the cloud sparked a culture of innovationWhat if your legacy systems could talk to each other and evolve?
-
Вебинар
Scam Season: Real Stories, Smarter Defenses Holiday fraud is rising fast. Learn how banks are using AI and real-time analytics to block scams – even a $60K fraud attempt – before it’s too late.
© 2024, Forrester Research, Inc. All rights reserved. Unauthorized reproduction is strictly prohibited. Information is based on best available resources. Opinions reflect judgment at the time and are subject to change. Forrester®, Technographics®, Forrester Wave, RoleView, TechRadar, and Total Economic Impact are trademarks of Forrester Research, Inc. All trademarks are the property of their respective companies. Unauthorized copying or distributing is a violation of copyright law. To purchase reprints of this document, please email clientsupport@forrester.com. For additional information, go to www.forrester.com.