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Analytics | Artificial Intelligence | Innovation
Mark Lambrecht 0
Architecting the modern clinical trial analytics environment

Clinical trials are the engine behind every new treatment we see – from life-saving cancer drugs to vaccines that help us fight global pandemics. But behind the scenes, running these trials involves juggling massive amounts of complex, sensitive data. For pharmaceutical companies, outdated technology systems can slow everything down, delaying

Analytics
Peter Williams 0
Why agentic AI Is the future of banking

The banking industry is at a crossroads. With rising customer expectations, intense competition, ever-evolving regulations and mounting cost pressures, financial institutions must transform – or risk falling behind. Enter agentic AI, an advancement in artificial intelligence that’s poised to redefine how banks operate, serve, and grow. What is agentic AI?

Artificial Intelligence | Learn SAS
Mahesh Shetty 0
Feeling left behind? These AI skills can put you back in the game

Generative AI (GenAI) has moved past its experimental phase. It is now deeply embedded in core business workflows, from sophisticated financial modeling and predictive analytics to dynamic content creation and strategic decision-making. This means the very definition of a “job-ready” professional has dramatically changed. Global surveys reveal the same trend:

Artificial Intelligence | Innovation
Caroline Kinlaw 0
Transforming finance with AI-powered AML

At SAS Innovate in Orlando, our partners shared how they’re driving meaningful change with SAS®. From strengthening financial services with AI-powered AML solutions, to helping marketers build privacy-conscious personalization, to enabling scalable, cloud-based analytics, they’re showing what’s possible when innovation meets collaboration. In the video above, you’ll hear directly from

Advanced Analytics | Artificial Intelligence | Innovation
Albert Qian 0
What’s in a decision?: Four components needed to operationalize your analytics

Every organization collects data, but collecting it isn’t enough. For companies that want to make personalized offers, detect fraud and optimize supply chains, decision-making is the ultimate measure of analytics success. But despite massive investments in data infrastructure and AI, many companies still struggle to bridge the gap between insight and action. That’s

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

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