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Fraud & Security Intelligence | Innovation
Seema Rathor 0
From data to decisions: What sets the intelligent bank apart

Banks face increasing vulnerabilities, including fraud, cyberattacks, regulatory pressures and rapidly evolving customer behaviors. To remain secure and resilient, financial institutions must do more than simply adopt new technologies – they must build intelligent, adaptive systems. This is where a data and AI platform becomes a critical engine – not

Advanced Analytics | Artificial Intelligence | SAS Events
Becky Graebe 0
On trust and responsible innovation: ‘Right now is an all-in moment’

Since AI is advancing faster than regulation and innovation is outpacing understanding, two principles must rise above the noise: trust and responsible innovation. That was the central message for industry leaders during another day of SAS Innovate 2025. Show host and recently named Chief Operating Officer Gavin Day said this

Artificial Intelligence | Innovation | Marketing
Mac Carlton 0
Unlock advanced audience targeting with SAS® Customer Intelligence 360 and Amazon Bedrock's generative AI

The digital marketing landscape demands increasingly sophisticated audience targeting, yet many organizations struggle with the technical complexity of creating precise audience segments. The integration between SAS Customer Intelligence 360 and Amazon Bedrock is fundamentally changing how marketers approach audience creation through the power of generative AI (GenAI) and natural language

Artificial Intelligence | Innovation
Marinela Profi 0
SAS® Viya® Copilot: Your AI assistant for new levels of productivity with data and AI

We’re constantly innovating to help organizations unlock the full potential of their data and AI capabilities. That’s why we’re excited to introduce SAS Viya Copilot, an AI-driven conversational assistant embedded directly into the SAS Viya platform through integration of Microsoft Azure AI Foundry. With Viya Copilot, we’re transforming the way

Analytics | Artificial Intelligence | Risk Management
Reyk Mikles 0
Comply, compete or collapse: The new rules of risk modeling

The financial services industry is undergoing a period of profound change, driven by a dynamic economic landscape, increased regulatory scrutiny, changing consumer behavior and rapid technological advances. Banks operating in this environment are under increasing pressure to transform their risk modeling and decision-making ecosystems in order to remain competitive. This

Artificial Intelligence | Innovation | Predictions
Thorsten Hein 0
4 core insurance functions primed to benefit from agentic AI

Rapid advancements in artificial intelligence (AI) technologies, such as large language models (LLMs), have triggered radical transformation in insurance. While they have already reshaped how AI is used, LLMs alone are not sufficient for real-world decisioning. Some of the standard ways insurers have used LLM-based chatbots in the past are

Advanced Analytics | Data Visualization | Machine Learning
Lizzie Mabe 0
Predicting Survivor winners with Python: Real-world modeling from 47 Seasons of Data

Using 47 seasons of Survivor data, this analysis explores what gameplay traits correlate with winning, applying Python and SAS Viya Workbench to build predictive models. While stats like challenge wins and voting accuracy help narrow down potential winners, the findings suggest that intangible social dynamics play the most decisive role.

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