Featured

Top posts about the topics you care about most.

Artificial Intelligence | Innovation
Nassim Rahimi 0
An innovative approach to design of experiments with synthetic data

Experimentation is the engine of innovation. Whether optimizing manufacturing processes, testing new materials, or simulating policy outcomes, the ability to run controlled experiments is essential. Design of experiments (DOE) is a well-established statistical methodology that helps organizations systematically explore the relationships between variables and outcomes. However, traditional DOE has its

Analytics | Data for Good | Data Management
Jennifer Griess 0
Transforming challenges into triumphs: 16 inspiring customer stories

From transforming online insurance services to combating the opioid epidemic, SAS customers are using data and AI to drive innovation, enhance efficiency and make a positive impact on society. These stories – and more – offer a glimpse into how our customers are shaping the future with SAS. Dive into

Advanced Analytics | Artificial Intelligence | Innovation
Jessica Curtis 0
Staying ahead of supply chain disruptions – without starting from scratch

Let’s face it, supply chains today can feel like one headline away from chaos. Whether it’s new tariffs, labor strikes, warehouse fires or unpredictable weather patterns, retail and consumer goods companies are constantly juggling curveballs. Each disruption comes with a price: tighter margins, out-of-stock products, unhappy customers and many operational

Artificial Intelligence | Innovation | Risk Management
Reyk Mikles 0
Is IBSM the most overlooked tool in banking risk strategy?

In an uncertain geopolitical world, integrated balance sheet management (IBSM) is crucial for building financial resilience. Fragmented risk systems hinder banks’ ability to navigate volatile markets. Isolated control models are especially problematic when managing liquidity, profitability and capital efficiently. According to a recent FT Longitude survey of executives from 300

Artificial Intelligence | Fraud & Security Intelligence | Innovation
Seema Rathor 0
Synthetic data for next-generation fraud detection in banking

Financial fraud is a high-stakes issue in banking, where schemes are becoming increasingly sophisticated and costly. As a result, detecting anomalies quickly and accurately is a top priority. But traditional data-driven fraud detection models face challenges such as data scarcity, privacy constraints, and model bias. This is where synthetic data

1 2 3 4 22

Back to Top