Resources
Explore resources related to banking analytics.
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Other – Third Party
Технический документ
2026 Anti Fraud Technology Benchmarking ReportReport
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Customer Story
Intelligent, real-time fraud decisions in 50 millisecondsDeutsche Kreditbank achieves real-time fraud prevention at scale with SAS Viya on Amazon Web Services, reducing fraud and keeping legitimate payments fast and secure.
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Аналитический отчет
Chartis RiskTech Quadrant® for ALM Solutions, 2025SAS is a category leader in the Chartis RiskTech Quadrant for asset and liability management.
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Аналитический отчет
The Forrester Wave™: Real-Time Interaction Management, Q4 2025SAS showcases leadership with top notch AI workbench and predictive modeling.
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Технический документ
AI-powered solutions for a trillion-dollar problemWhite paper
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Технический документ
The future of trustWhite paper
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Аналитический отчет
Chartis RiskTech100, 2026 -
Технический документ
Climate Stress Testing Methodologies for BanksClimate risk stress testing is evolving fast. This UNEP FI report surveys 20+ global banks to benchmark practices, identify gaps and guide institutions on modeling, governance and regulatory readiness for a resilient future.
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E-Book
The Agentic Bank: A Field Guide to AI That Thinks, Acts and AdaptsAgentic AI is changing how banks operate – enabling real-time decisions, scalable automation and built-in governance. This guide lays out the 5 steps to build an agentic bank that adapts fast, stays compliant and keeps humans in the loop.
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Аналитический отчет
Datos Matrix: Fraud and AML Case Management, 2025 -
Аналитический отчет
Chartis RiskTech AI 50, 2025 -
Технический документ
Building a foundation for innovation: Five steps to keep your AML program efficient and effectiveWhite paper
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Технический документ
How AI and Machine Learning Are Redefining Anti-Money LaunderingMachine learning can play a big role in the defense against money laundering, either to automate tasks that formerly required human intervention, such as managing the data to train models, or detect more financial crimes risk that rules and more basic analytic techniques might miss.
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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.
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Технический документ
Journey to an integrated balance sheetThe increasing complexity of risk management in financial services, combined with current market volatility, has made a holistic understanding of risk both more urgent and more challenging. To maintain liquidity, ensure growth, navigate regulatory obstacles and gain a comprehensive view of risk, banks must meet the moment by embracing integrated balance sheet management at every level.This white paper examines the common challenges banks face when managing risk in today’s environment and outlines specific steps banks can take to build a more integrated and effective balance sheet management strategy.
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E-Book
Securing the future: Proactive strategies to combat financial fraude-book
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Аналитический отчет
The Forrester Wave™: Anti-Money Laundering Solutions, Q2 2025SAS offers a strong framework for quantifying the ROI of its AML solution for its potential and existing customers.
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E-Book
Future of Intelligent Banking: AI, Risk and Innovation in the Next Decadee-book
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Технический документ
Risk Modeling and Decisioning White PaperThis white paper describes the urgent need to upgrade risk modeling and decisioning strategies in the banking/financial services industry and provides specific suggestions for improving them.
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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.
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Технический документ
Transforming Risk ManagementBanks face unprecedented risk challenges - from geopolitical shifts to AI-driven disruption. This report, based on insights from 300 global banks, explores the transformation of risk management, from rethinking risk models to integrating AI and data strategies. Building on 2021 findings, this SAS and Longitude report tracks progress over three years and provides key insights for accelerating change.
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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.
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Технический документ
Reimagine your financial institution’s customer experienceFinancial institutions’ customers are more demanding than ever. According to a report from Vericast, the nature of loyalty in banking is being redefined, with nearly half of customers (46%) open to either switching banks entirely or using
multiple institutions concurrently for different financial needs. These customers want highly relevant, personalized and seamless experiences with their financial
institutions (FIs), regardless of the channel or device they choose to use. And they’ll prioritize banking with financial institutions that can deliver it. Unfortunately, many are not getting what they are asking for. A Capgemini study on making
meaningful customer connections in the financial services industry reports that 52% of customers are
frustrated by poor communications with their FIs, and 44% are dissatisfied with digital channels that
are hard to navigate and provide experiences that are neither user-friendly nor tailored to their needs.
Banks and other FIs have a vast amount of valuable customer data at their disposal that could be used to meet the rising customer expectations for timely, and relevant personalized communications
including transaction history, demographics, spending behavior, credit ratings, browsing activity,
product ownership, etc. However, there is still much work to do in this area as well, particularly when it comes to tailoring
customer engagement using the data banks routinely collect.
In fact, 71% of the FI executives surveyed told Capgemini that understanding customer
motivations and preferences is critical to growth, but 54% acknowledge they don’t understand
their customers well enough to embrace a truly customer-centric strategy. The Capgemini study also revealed 87% lack a centralized customer view and intelligent
decisioning capability, and 85% do not use advanced behavioral targeting and customer
behavior data for precise targeting.
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Аналитический отчет
Chartis RiskTech Quadrant for Model Risk Management, 2024Chartis names SAS a leader in both Model Risk Governance and Model Validation, 2024.
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Технический документ
Maintaining Customer Trust with Martech in Small and Medium-Sized BusinessesFor small and medium-sized businesses (SMBs), marketing technology is essential for staying competitive and building customer trust. A recent Harvard Business Review Analytic Services survey found that 81% of respondents believe martech has a significant impact on fostering trust with customers. It helps SMBs tackle challenges like limited budgets, measuring ROI and team alignment, enabling them to deliver consistent messaging, personalize experiences and work more efficiently. Looking ahead, generative AI is opening up new opportunities for SMBs to evolve their marketing strategies, innovate and stay ahead in an ever-changing market.
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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.
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E-Book
Reimagining risk, modeling, and decisioningThe eBook addresses how SAS and Microsoft are modernizing credit risk modeling and decisioning for better customer experience.
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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.
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E-Book
5 Steps to a Unified Enterprise Customer Decisioning StrategyIn an era of unprecedented technology-driven disruption, banks are facing a dual challenge: Meeting rising customer expectations while navigating increasingly complex regulatory demands.
To remain competitive, banks must not only innovate but also streamline operations and foster greater collaboration across departments, breaking down traditional silos and working toward innovation.
How can banks simplify their operations, future-proof their services, and drive growth? Enterprise customer decisioning is the answer. This ebook describes five important steps to making better decisions faster with enterprise customer decisioning.
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Технический документ
The balance sheet risk conundrumDiscover five key elements required to achieve the most possible value from a modernized ALM and liquidity risk management program.
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Аналитический отчет
The Forrester Wave™: Enterprise Fraud Management, Q2 2024As noted in the Forrester evaluation, "SAS provides a broad selection of out-of-the-box EFM machine learning models. ."
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Аналитический отчет
Chartis RiskTech Quadrant for Watchlist and Adverse Media Monitoring, 2024SAS is a category leader in the RiskTech Quadrant for Name and Transaction Screening Solutions within the Watchlist and Adverse Media Monitoring Solutions, 2024 report.
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Article
Why banks need to evolve their approach to climate and ESG riskManaging environmental, social and governance (ESG) risk is important to banks, insurers, regulators, investors and consumers – yet there are many interpretations of how to do it. To thrive, organizations must learn how to evolve their risk management practices.
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Технический документ
Anti-Fraud Technology As criminals find new ways to exploit technology and target potential victims, anti-fraud professionals must adopt new technologies to effectively navigate the evolving threat landscape.
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Article
Next generation anti-money laundering: robotics, semantic analysis and AIAdding AI and machine learning to your anti-money laundering program can combat rising compliance pressures, complexity and risks. Learn about the results innovative financial institutions around the globe are getting from next-generation AML.
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Article
Next generation anti-money laundering: robotics, semantic analysis and AIAdding AI and machine learning to your anti-money laundering program can combat rising compliance pressures, complexity and risks. Learn about the results innovative financial institutions around the globe are getting from next-generation AML.
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Технический документ
The balance sheet risk conundrumHow SAS and Microsoft are modernizing asset liability management and liquidity risk management in turbulent times.
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E-Book
Unifying Model Management Across the BankHow banks can empower all departments to manage model risk effectively across the entire model life cycle.
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E-Book
Personalized advertising that you controlBanks that control their own personalization models, data and ad delivery ultimately deliver a better customer experience.
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Технический документ
Modernizing Asset Liability ManagementChanging priorities in ALM technology, data and analytics.
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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.
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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.
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Технический документ
Proactive anti-financial crime strategies to improve compliance and reduce riskIn today’s fast-changing landscape, become more effective across all stages of AML investigations by following this framework and shift to a proactive, risk-based approach.
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Технический документ
The Value of Credit Risk Transformations and the Role of AIAs banks seek continued progress in their credit risk transformation journey, the insights gathered by SAS and GARP reveal the obstacles they face.
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Технический документ
Decision science: From automation to optimizationThis Risk.net white paper explores decision science and automation and the efficiencies it brings, and offers insight into why automation – married with adaptable analytics – is now crucial.
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Article
How to uncover common point of purchaseFraudsters use many techniques to steal card data. Banks that want to stay ahead of common point of purchase (CPP) and contain the costs of fraud need to implement advanced analytics techniques to strengthen their fraud prevention programs.
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Article
ТОП-5 схем мошенничества по предоплаченной картеЛучшие практики для предотвращения мошенничества, защиты репутации и обеспечения качественного клиентского обслуживания.
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Article
Model risk management: Vital to regulatory and business sustainabilitySloppy model risk management can lead to failure to gain regulatory approval for capital plans, financial loss, damage to a bank's reputation and loss of shareholder value. Learn how to improve model risk management by establishing controls and guidelines to measure and address model risk at every stage of the life cycle.
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Article
Online payment fraud stops hereBillions of dollars each year are lost to online payment fraud through channels that provide convenient – yet vulnerable – ways to shop and bank. See how to fight back and win with advanced analytics.
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Технический документ
Outrunning risk with cloudBy employing cloud-based risk modeling and decisioning capabilities, banks can make faster, more sophisticated risk calculations that keep them one step ahead of existing and emerging threats.
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Article
Strengthen your payment fraud defenses with stronger authenticationThe rapid growth of digital wallets and payment applications ushered in many new payment fraud threats. Today, it’s more critical than ever to authenticate users. Learn four innovative to ways strengthen your authentication defenses while reducing false positives and protecting customers’ assets.
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Article
Managing fraud risk: 10 trends you need to watchSynthetic identities, credit washing and income misrepresentation – these are just some of the trends to watch if you’re trying to understand how to manage fraud risk. Find out what’s on the top 10 list of trends according to experts like Frank McKenna and Mary Ann Miller.
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Article
Payment fraud evolves fast – can we stay ahead?Payment fraud happens when a criminal steals a person’s private payment information, then uses it for an illegal transaction. As payment trends evolve, so do the fraudsters. Banks and PSPs can fight back with advanced analytics techniques that adapt quickly to spot anomalies in behavior.
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Технический документ
From Crisis to Opportunity: Redefining Risk ManagementHow a more automated approach to risk management can transform banks’ performance, during the pandemic and beyond.
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Технический документ
Basel IV: The push you neededIn a landscape of great uncertainty and the economic crisis sparked by COVID-19, financial institutions must address the challenges Basel IV will bring. An integrated risk management approach is the best path forward to meeting ever-evolving regulatory needs.
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Article
Будущее банковского стресс-тестирования с аналитикой SAS в AzureУзнайте о вызовах, с которыми сталкиваются компании при стресс-тестировании, и о преимуществах перехода в облако.
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Article
Банки проверяют все операции на предмет отмывания денегНесколько лет назад в интернете можно было найти массу жалоб на несколько банков, которые слишком буквально восприняли нормы закона 115-ФЗ, и начали блокировать практически все крупные транзакции.
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Технический документ
Compete and win with better model risk managementAs explored in this paper, models can degrade over time, and sound model risk management (MRM) is the key to managing this risk.
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Article
frtb: a wait and see strategy could be riskyFRTB, fundamental review of the trading book, is a regulation that changes how banks analyze market risk in the trading book to address systemic challenges.
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Article
CECL: Are US banks and credit unions ready?CECL, current expected credit loss, is an accounting standard that requires US banking institutions and credit unions to estimate life-of-loan losses at origination or purchase.
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Вебинар
Управление нефинансовыми рисками в свете новых требований Банка России и роль внутреннего аудитаНовые требования Банка России к системе управления операционным риском обязывают финансовые организации привести практики управления в соответствие с нововведениями. Чтобы правильно выстроить приоритеты задач и разобраться в тонкостях вышедших требований, приглашаем вас на вебинар.
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Вебинар
Практика управления нефинансовыми рисками в свете новых требований Банка РоссииУзнайте как правильно выстроить приоритеты задач и разобраться в тонкостях вышедших требований Банка России к системе управления операционным риском
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Технический документ
Scenario-Based Risk Management: Overcoming the ChallengesAs regulatory stress test regimes mature, financial institutions are looking for ways to harness investments they made in stress testing programs to gain additional business value.
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Аналитический отчет
Chartis RiskTech Quadrant for Credit Risk Solutions 2020 -
Аналитический отчет
Risk Technology Awards 2020Consumer credit modelling software of the year – SAS
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Article
Ситуационная осведомленность определяет нашу реакциюМногие обстоятельства требуют ситуационной осведомленности, то есть осознания того, что происходит вокруг. Пандемия COVID-19 усилила эту потребность, поскольку лидеры во всех отраслях использовали аналитику и визуализацию, чтобы получать ситуационную осведомленность в реальном времени и быстро реагировать на важные решения.
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Технический документ
Stress Testing 2.0: Better Informed Decisions Through Expanded Scenario-Based Risk ManagementA road map for those who are starting to build – or are rethinking their approach to – their stress testing infrastructure and strategy.
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Технический документ
Building Artificial Intelligence in Credit Risk: A Commercial Lending PerspectiveWhat will it take for banks to trust artificial intelligence (AI) and machine learning (ML) with judgments about data accuracy and leverage it for commercial lending process automation?
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Customer Story
Thai bank safeguards customers while managing fraud detection in real timeKrungsri Consumer uses SAS® Fraud Management to find fraud faster and reduce revenue losses.
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Технический документ
Managing Models and Their RisksComputational and technological challenges present opportunities for a fast-evolving risk management discipline.
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Технический документ
Machine Learning Model GovernanceBanks are rapidly expanding their use of machine learning-enabled (ML) models, because they can provide step-level improvements in accuracy. But ML models need even more rigorous governance than traditional models. This paper explores what's required to implement effective ML model governance.
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Article
Under siege: Improving customer experience in bankingBanks are ranking low in customer satisfaction, but improvement is possible says Digital Banking Report owner and publisher Jim Marous.
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Article
Rethink customer due diligenceTo streamline compliance and protect against financial and regulatory risk, re-examine your customer due diligence processes and technologies regularly. With new analytical tools, you can monitor customer transactions or personal information in real time, and accurately segment customers by the risk they represent.
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Технический документ
Seven trends that will transform bankingAdvanced analytics and big data are enabling smarter decisions and more efficient processes, from credit to compliance and risk management.
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Технический документ
AI Is at the Forefront of Reducing Money Laundering and Combating the Financing of Terrorism See how artificial intelligence (AI), machine learning (ML) and robotic process automation (RPA) are helping firms overcome the challenges, improve results and make AML/CFT programs more efficient and effective.
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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?
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Customer Story
Modernizing consumer lending in VietnamVietCredit aims to revolutionize the consumer finance market with SAS.
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Customer Story
Поиск лучших клиентов с помощью аналитикиSeacoast Bank enhances customer value using AI and SAS Visual Analytics on SAS Viya.
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Customer Story
Making faster, better lending decisionsLocal Government Federal Credit Union sees efficiency gains with SAS.
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Технический документ
Migrating Analytics to the Cloud: It's About Time In this paper, SAS and the International Institute for Analytics (IIA) explore how to maximize the performance and value of analytics in the cloud, weigh the options, and choose the right approach to migration.
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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.
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E-Book
Stress and Strategy: A C-Suite Guide to Scenario-Based Risk ManagementThis e-book from SAS and Argyle explores some of the ways that top-performing organizations are undertaking scenario-based risk assessment to develop and manage their business strategies.
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Customer Story
Preventing crime and ensuring compliance at 120 Nordic banksSDC enables small and medium financial institutions in four Nordic countries to stay compliant.
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Customer Story
«Первое кредитное бюро» предложило новую услугу на базе инструментов аналитики SAS и облачной платформы StatCloudОблачная интерактивная среда, построенная на решениях компании SAS, позволяет клиентам Бюро анализировать свой портфель и видеть свои позиции относительно остального финансового рынка.
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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.
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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.
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Технический документ
Risk-Aware Finance and the Changing Nature of CreditNew research by Chartis and SAS highlights how financial institutions must align finance and risk departments to accurately assess future risks and bolster budgeting and forecasting capabilities. This paper explores how risk-aware finance is becoming essential to meeting future regulatory and competitive demands.
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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.
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Customer Story
Fast analytical defenseDeutsche Kreditbank AG combats fraud and money laundering with SAS.
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Технический документ
Text Analytics for ExecutivesThis paper looks at how organizations in banking, health care and life sciences, manufacturing and government are using SAS text analytics to drive better customer experiences, reduce fraud and improve society.
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Article
Case Study
Thwarting disruption with strategic investments in innovationNational Australia Bank turns to innovative strategies, like hackathons, to find new solutions to emerging challenges.
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Технический документ
Tackle the Complexity of IFRS 9 and CECL StandardsThe US standard for CECL increases the complexity of the allowance estimation process. Outside the US, IFRS 9 is having the same effect. Learn about best practices for getting this right.
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Технический документ
Protect the Integrity of the Procurement FunctionProcurement fraud affects nearly one-third of organizations, and it is often perpetrated by the most trusted, longtime employees, the ones you’d least suspect. Learn from two white-collar crime specialists about common flavors of procurement fraud, striking examples from recent headlines, four fundamental ways to get better at detecting and preventing fraud, and how to take procurement integrity to the next level.
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Технический документ
Designing the Infrastructure for Credit Risk Model DevelopmentExplore the most common problems organizations face when setting up infrastructure for analytics – and credit risk modeling specifically – and learn about ways to increase productivity and reduce problems through better planning and design.
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Технический документ
CECL: Don't Neglect the FundamentalsFirms that proactively implement a CECL process that is controlled, efficient, collaborative and sustainable will find themselves with a competitive advantage over time. This paper discusses the long-term benefits of this holistic approach.
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Технический документ
Analytics Platform and Program: Keys to Success for Regulatory Compliance in Financial ServicesAdvanced analytics is at the heart of regulatory compliance processes in financial services. This paper discusses data enormity and preparation for analysis; flexibility in computing platforms; and a comprehensive program for data, analytics and models.
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Article
Equifax uses trended data to better qualify loan applicantsMachine learning for credit scoring has helped Equifax analyze consumer data over time to determine which borrowers are trending in a positive direction and develop a more accurate measure than credit scores.
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Article
IFRS 9 and CECL: The challenges of loss accounting standardsThe loss accounting standards, CECL and IFRS 9, change how credit losses are recognized and reported by financial institutions. Although there are key differences in the standards for CECL (US) and IFRS 9 (international), both require a more forward-looking approach to credit loss estimation.
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Series
Digital transformation: Moving from handshakes to householding at ComericaFor Comerica, digital transformation entailed developing a new approach for an online economy while maintaining it's heritage of one-to-one relationships.
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Технический документ
Firmwide Scenario Analysis and Stress TestingThis paper explores the two most commonly used firmwide scenario model approaches for stress testing, firmwide risk capital measures and how regulatory stress testing is different from the firmwide risk capital approach mandated by CCAR and EBA.
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Article
Risk data aggregation: Transparency, controls and governance are needed for data quality and reportingFinancial institutions’ data aggregation and reporting techniques and systems are receiving increased attention both internally and externally. Find out how to take a comprehensive approach to BCBS principles and risk data aggregation and management.
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Article
Online fraud: Increased threats in a real-time worldOnline and mobile banking is convenient for customers -- and an opportunity for fraudsters. With fraud methods constantly evolving, an analytical approach is a must for banks seeking early, accurate detection.
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Article
What was your data doing during the financial crisis?Financial institutions usually survive a crisis, then react to prevent it in the future. SAS' Mazhar LeGhari explains how data can help you break that cycle.
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Article
Mobile payments, smurfs and emerging threatsM-payment remittances are replacing traditional banks and money services that have historically charged high fees for small transfers. Former US Treasury Special Agent John Cassara maps what he sees in the road ahead and gives advice for protecting your firm.
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Article
Data quality: The Achilles' heel of risk managementGiven the tightly regulated environment banks face today, the importance of data quality cannot be overstated. Beyond the obvious benefits of staying one step ahead of regulatory mandates, having accurate, integrated and transparent data will drive confident, proactive decisions to support a solid risk management foundation.
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Interview
Data visualization: A wise investment in your big data futureData visualization technologies can help the practice of data-driven decision making really take hold. But putting data visualization software in the hands of business users? Is it crazy – or crazy smart?
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Article
Marketing optimization: Five lessons learned at a major US bankHow does a bank know what you need when you visit its website, open the mobile banking app or walk into the branch? For one of the largest banks in the US, the answer is marketing optimization. Here are five lessons they’ve learned.
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Article
Improving customer experience with digital marketingAdvanced analytics can help bankers predict customer behavior and deliver personalized offers to customers just at the moment they're most open to receiving them.
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E-Book
Customer experience - now and into the futureExperience 2030: Research reveals 5 key themes driving customer experience. Build a forward-looking customer experience framework.
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E-Book
Adapting to the New Age of Risk AnalyticsRapid advancements in technology are leading to a new age of risk analytics. The availability of commercial and open source software – coupled with significantly improved integration using industry standard tools – has made analytics more user friendly, expanding its reach to a broader range of business professionals.
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E-Book
Fearless Decision? The most successful banks of the future will be those who can see their customers as individuals, appreciate their unique journeys and make decisions accordingly — across all associated business functions.
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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.
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E-Book
Data scientists use SAS Viya on Microsoft Azure to develop big innovationsThis e-book features top solutions showcasing how global Hackathon teams used SAS Viya on Microsoft Azure to develop innovative approaches that save time, money, and entire ecosystems, such as the world's coral reefs.
