INDUSTRY APPLICATIONS
AI for Banking
Meet customer and regulatory compliance demands with greater speed, accuracy, efficiency and cost-effectiveness.
Business Challenge
Changing regulatory compliance requirements and shifting customer demands mean a bank’s survival hinges on its ability to glean relevant insight from all available data. In fact, the efficient and effective use of data is critical to addressing many issues today's banks face – combating fraud and financial crimes, managing credit and regulatory risk, enhancing the customer experience and generating sufficient capital. A partnership between humans and machines – each augmenting the other – holds the most promise for successfully achieving compliance and meeting customer needs, but knowing where and how to start isn't always easy.
How AI Can Help
From fraud to credit to risk to customer experience, artificial intelligence (AI) can enhance the speed, precision and effectiveness of human efforts, which results in a more responsive, more profitable bank. With AI capabilities from SAS, you can:
- Automate manually intensive, highly repetitive tasks. A bank's daily transaction volume is far too high for humans to manually review each transaction. AI capabilities enable you to manage and find meaning in both structured and unstructured data – including audio files, emails, logs, social media posts and data from smart devices.
- Quickly identify fraudulent transactions. Use AI and machine learning techniques to identify which types of banking transactions are likely to be fraudulent. Neural networks can predict fraudulent transactions – and reduce false positives – based on factors such as transaction size and frequency, and the type of retailer involved. Reducing false positives boosts customer satisfaction, protects revenue and lowers costs.
- Adopt fast, accurate credit scoring policies. When a potential customer applies for a loan or credit card, use AI and machine learning techniques to analyze alternative data sources – like utility payments, mobile phone use and text message activity – for improved loan rating accuracy to give good customers easier access to credit.
Why SAS?
As the leader in advanced analytics, SAS advocates applying analytics to any data that has the potential to produce insights. That's why we embedded AI capabilities in our software – from the powerful SAS Platform to solutions tailored to the needs of the banking industry. SAS delivers open, trusted, scalable and sustainable AI capabilities that can helps banks of all sizes achieve growth, profitability and compliance. For more than 40 years, SAS has delivered consistent value to the banking industry, and more than 3,500 financial institutions around the world choose SAS to gain The Power to Know®.
Recommended Resources
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White Paper The Evolution of Analytics Opportunities and Challenges for Machine Learning in Business
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White Paper Marketing Analytics Meets Artificial Intelligence: Six Strategies for Success A TDWI Checklist Report
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Analyst Report SAS is a Leader in The Forrester Wave™: AI-Based Text Analytics Platforms, Q2 2018
AI Solutions for Banking
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SAS® Anti-Money LaunderingTake a risk-based approach to monitoring transactions for money laundering and terrorist financing activities.
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SAS® Credit Scoring for BankingDevelop, validate and monitor credit scorecards faster, cheaper and more flexibly than any outsourcing alternative.
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SAS® Data Preparation以自主式資料存取、點擊的環境,加速分析資料的準備。
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SAS® Fraud ManagementDetect, prevent and manage fraud enterprisewide in real time – from a single platform.
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SAS® Intelligent DecisioningEnable analytically driven real-time customer interactions, and automate operational business decisions at scale.
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SAS® Model Risk ManagementSignificantly reduce your model risk, improve your decision making and financial performance, and meet regulatory demands with comprehensive model risk management.
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SAS® Regulatory Risk ManagementProactively manage regulatory risk across multiple jurisdictions with a single, end-to-end risk management environment.
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SAS® Visual Text Analytics整合自然語言處理、機器學習及語言學規則等技術,協助發掘在文字資料內的隱含洞察。
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SAS® 視覺資料探勘與機器學習利用單一整合的 In-Memory 環境,快速解決最複雜的問題。