Industry Applications
AI for Insurance
Meet customer and operational demands with greater speed, accuracy, efficiency and cost-effectiveness.
Business Challenges
Ever-higher customer expectations and demanding operational requirements mean that an insurer’s performance increasingly 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 challenges today’s insurers face – enhancing the customer experience, pricing accurately and competitively, combating fraud, and managing risk and capital. A partnership between humans and machines – each augmenting the other – holds the most promise for successfully meeting these challenges, but knowing where and how to start isn't always easy.
How AI From SAS Can Help
From fraud 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 insurance operation. With AI capabilities from SAS, you can:
- Turn customer experience into customer engagement. With embedded AI tools, you can connect data together from all sources, providing an accurate and evolving view of the customer journey. You can then optimize customer journeys across all channels to maximize engagement and enable real-time decisioning.
- Price risk accurately and competitively. Use AI to model and develop more precise tariff models faster and build innovative market propositions exploiting new internal and external data sources. You can respond quickly to customer behavioral changes and competitor pricing actions, increasing conversion rates and optimizing renewals.
- Quickly identify fraudulent transactions. Use AI and machine learning techniques to identify which types of insurance transactions are likely to be fraudulent. AI techniques, including adaptive machine learning and unsupervised intelligent agents, can predict fraudulent transactions in real time – and reduce false positives – based on changes and inconsistencies in customer behavior patterns. Reducing false positives boosts customer satisfaction, protects revenue and lowers costs.
Why choose SAS® for AI?
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 our powerful analytics platform to solutions tailored to the needs of the insurance industry. SAS delivers open, trusted, scalable and sustainable AI capabilities that can help insurers of all sizes achieve growth, profitability and compliance. For more than four decades, SAS has delivered consistent value to the insurance industry.
AI Solutions for Insurance
- SAS® for Data Preparation and Data QualityHarness the power of clean, reliable data.
- SAS® Fraud Decisioning for ClaimsDetect, prevent and manage insurance claims fraud across all lines of business.
- SAS® Intelligent Decisioning분석에 기반한 강력한 비즈니스 규칙을 손쉽게 생성, 관리, 통제하여 대규모 의사결정을 지원합니다.
- SAS® Visual Data Mining and Machine LearningSAS 비주얼 데이터 마이닝 및 머신 러닝은 통합적인 시각화 인터페이스를 통해 모든 데이터 마이닝, 머신러닝 프로세스를 지원할 수 있습니다.
- SAS® Visual Text AnalyticsSAS 비주얼 텍스트 애널리틱스는 자연어 처리, 머신 러닝 및 언어학적 규칙을 결합하여 비정형 데이터에 숨어있는 인사이트를 제공할 수 있습니다.
- SAS® 모델 리스크 관리모델 위험 관리를 통해 모델 위험을 대폭 줄이고, 의사 결정 및 재무 성과를 개선하며 규제 요구 조건을 충족합니다.