All Posts

Advanced Analytics
Rick Wicklin 0
Matrix norms and spectra

A previous article discusses covariance matrices that have the same set of eigenvalues. The set of eigenvalues is called the spectrum of the matrix. For symmetric matrices, the spectrum contains real numbers. For covariance matrices, which are positive semidefinite, the eigenvalues are nonnegative. It turns out that two symmetric matrices

Advanced Analytics | Artificial Intelligence | Innovation
Brett Wujek 0
Working with synthetic data? Ask these 6 questions first

Synthetic data has emerged as a powerful tool for overcoming the limitations of real-world data. The future holds great promise for accelerated innovation. With synthetic data, companies can now generate financial transactions, medical records or customer behavior patterns that maintain statistical relevance like real data. This emerging technology can help

Advanced Analytics | Artificial Intelligence | Innovation
Gavin Day 0
How generative AI can futureproof your workforce and build resilience

Major global elections, volatile financial markets, extreme weather events, and sophisticated and costly cyberattacks are increasing operational risks across every industry. Generative AI (GenAI) is redefining how industries navigate this uncertainty and transforming potential risks into powerful opportunities. Organizations across industries are increasingly invested in GenAI – for instance, last

Customer Intelligence | Fraud & Security Intelligence
Leonora Gouveia 0
Transforming customer experience: How security and personalization create trust for customers

We all know by now that customer experience (CX) is pivotal to any organization's success. Providing seamless, secure, personalized interactions across all customer touchpoints can be transformative. To achieve this, organizations must move beyond siloed functions such as fraud detection and credit risk management, integrating these critical areas with broader

Advanced Analytics | Analytics | Artificial Intelligence | Cloud
Francisco Mateos 0
SAS Viya 4: Una nueva era para la analítica segura y escalable

En el mundo actual, donde los datos son el activo más valioso, la ciberseguridad se ha convertido en una prioridad absoluta para las organizaciones. Proteger información sensible mientras se permite un análisis avanzado y eficiente requiere plataformas que sean no solo potentes, sino también resilientes frente a las amenazas digitales.

Risk Management
sungsupai 0
금융기관 모델 리스크 관리의 선진적 발전 방향

금융기관은 다양한 업무에 조직과 더불어 여러 시스템들이 갖춰져 있습니다. 그러한 시스템에는 수많은 프로그램과 모델(로직)들이 결합되어 업무 활용의 효율성과 신뢰성을 보완해주는 역할을 합니다. 특히나 AI 모델을 많이 만들고 사용하는 최근에는 그동안 기업에서 각종 규제에 맞춰 만들어진 모델들까지 포함한 전사적 모델 관리가 리스크 관리의 중요한 부분으로 떠오르고 있습니다. 여기서, 여러분이 컴플라이언스/리스크 관리

1 33 34 35 36 37 686