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  • Making AI More Human: Embedding Ethics in AI Systems

    AI has made it possible for applications to classify images, for cars to drive themselves, for people to use chatbots for customer service purposes, and more. However, AI also could also potentially have negative consequences. Read this e-guide to learn about how scientists plan to embed human ethics into AI systems.

  • Using Data to Create Outcome-Based Customer Experiences

    Customers expect organizations to provide personalized experiences and interactions. Therefore, in order to deliver a satisfactory customer experience, organizations must analyze the right data. Read this white paper to learn how your organization can deliver the highest quality customer experience possible.

  • SAS Analytics for IoT: Connected Customer

    From wearables to cars, to store beacons, IoT has the potential to enhance customer loyalty programs. SAS reports that IoT devices will increase to 20 billion by 2020. How can organizations take advantage of this trend? Read this resource to learn about how SAS could help organizations use IoT to enhance their customer loyalty programs.

  • Channeling Streaming Data for Competitive Advantage

    What's your plan to analyze data in real-time? With the speed of modern businesses, you can't afford to be much slower than that. You might want to explore streaming analytics. Read this 13-page white paper for more details on streaming analytics.

  • Analytics to Fight Tax Fraud

    Fraudsters are becoming more and more sophisticated with their cyberattacks, especially when it comes to tax fraud. Download this white paper to explore how machine learning and analytics can help tax agencies fight cybercrime.

  • SAS Analytics for IoT: Smart Cities

    With IoT devices taking over, it's not enough to simply collect data from connected citizens, sensors and products, but you need to analyze that data immediately. SAS Analytics for IoT is designed to help turn IoT data into real-time insights. Download this resource for the benefits, including automating your IoT infrastructure.

  • Welcome to the Analytics Economy

    Download this white paper to examine how the analytics economy is already affecting businesses and society, and how a collaborative analytics approach can help your organization thrive in this economic evolution, as well as some of the challenges in maximizing the value of data

  • Using SAS Marketing Optimization to Improve Credit-Line Optimization

    Download this white paper to learn how you can maintain regulatory compliance while effectively managing a credit-line increase program, and review how you can evaluate, assess and optimize the credit limit decision.

  • Emerging Market Risk Challenges and FRTB

    Download this white paper to learn about current market risk challenges that concern regulators, and selected steps they are taking, such as Fundamental Review of the Trading Book (FRTB), along with further actions planned.

  • Top Five Ways Your Bank Can Benefit from IFRS 9 and CECL

    Download this resource for the top 5 ways your bank can benefit from IFRS 9 and CECL.

  • Reduce Card Fraud, Lower Costs and Increase Customer Confidence

    Learn how your organization can reduce card fraud, lower costs and increase customer confidence, today.

  • Risk-Aware Finance and the Changing Nature of Credit

    Download this research report to learn about risk-aware finance, including what effective risk-aware finance looks like, key technical and staff challenges Financial Institutions (FIs) face in attaining it, how FIs can overcome these challenges, and more.

  • Stress and Strategy: C-Suite Guide To Scenario-Based Risk Management

    Download this C-Suite Guide To Scenario-Based Risk Management to learn about scenario-based risk management, which enables you to monitor and mitigate changing risks—even in the worst crises.

  • Managing Fraud Risk in the Digital Age

    Learn how to detect, prevent and manage fraud in real time – from a single platform and uncover 4 steps your organization can take to fight fraud.

  • Machine Learning Use Cases in Financial Crimes

    Learn about 10 practical and achievable ways to put machine learning to work and ensure fraud detection efficiency.

  • Enterprise Risk Mitigation for Community Banks

    Keeping pace with anti-fraud and anti-money laundering (AML) regulations represents a significant burden for financial institutions, particularly smaller ones. Download this white paper to learn more about the challenges these regulations pose and how to meet them.

  • Detecting and Preventing Banking Application Fraud

    Preventing application fraud starts with validating the identity of an individual using a digital device. Are they really who they say they are? Download this white paper for analytics-driven methods for validating financial services applications and spotting trouble at all three stages of bust-out fraud schemes.

  • PRA's 4 Key Principles of Model Risk Management

    Done poorly, Model Risk Management (MRM) compliance can add on millions in direct and indirect costs for banks. Download this white paper for guidance on setting up an MRM operating model that is both compliant and low costing.

  • Making Sense of AI

    In the future, our experiences will be smart and informed by analytics that are felt by AI tools with sensory constructs. However, the challenge is creating intuitive AI experiences that humans can interact with through normal sensory constructs. Read this resource to learn more about what companies are doing to make AI more intuitive.

  • AI Momentum, Maturity & Models For Success

    SAS surveyed over 300 executives about their thoughts on artificial intelligence (AI). According to the survey, 72% of the organizations have either deployed AI-based technology or are in the process of doing so. Read this resource to discover all of the survey's findings and learn how your organization can use AI to solve business problems.

  • The Machine Learning Landscape: A Quick Guide to the Different Types of Learning

    AI and machine learning are used in many different organizations by data scientists to solve many different kinds of problems ranging from product recommendations to fraud prevention. Read this resource to learn about the 4 different methods of machine learning and how they could benefit your organization going forward.

  • Behind the Scenes with Artificial Intelligence

    The truth is that AI is not just business-ready, it is radically transformational. But it's crucial that you understand and begin planning for the right use cases, desired outcomes, and implications on your people and business. In this white paper explore 7 considerations for successful AI deployments, some AI-powered innovations and more.

  • What Marketers Need to Know about Digital Transformation

    In this webinar, hear from Wilson Raj of SAS and Daniel Newman of Futurum Research about the smartest path you can take to becoming digitally intelligent and improve customer journeys along the way.

  • Digital Intelligence: The Heart of Driving Your Customer Experience

    Big data isn't just a trend; it's a core element to digital transformation and the development of a powerful customer experience. In this white paper, discover the benefits of data in improving customer experience.

  • Marketing Analytics Meets Artificial Intelligence

    This checklist explores how AI can be used to enhance marketing analytics and to help companies both better understand their customers and deliver a great CX.

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