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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

Artificial Intelligence | Fraud & Security Intelligence | Machine Learning
Josh Beck 0
Threat modeling for agentic systems

As agentic AI systems evolve through protocols like MCP and A2A, traditional security practices must be adapted to address new risks such as goal misalignment and tool instruction abuse. This article explores practical threat modeling strategies, including goal alignment cascades and distinguishing between parameter-only vs. instruction-enabled tool calls.

Artificial Intelligence | Innovation
Glynn Newby 0
Ready-made AI models: The next industrial revolution in manufacturing

The manufacturing industry is at a fascinating crossroads, brimming with potential for groundbreaking advancements. We find ourselves in an era of unprecedented data surges, intricate supply chain networks and a relentless drive to innovate. This dynamic environment, now known as Industry 4.0 – 5.0, has cultivated a fertile ground where

Artificial Intelligence | Fraud & Security Intelligence
Seema Rathor 0
From algorithms to action: Financial institutions must embrace AI to fight financial crime

Integrating AI and machine learning into anti-money laundering (AML) and combating the financing of terrorism (CFT) systems has become imperative for financial institutions (FIs) to safeguard their operations, customers and reputation effectively. Sophisticated financial crimes require advanced solutions to detect and prevent fraud. Money laundering, for example, is a financial

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