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SAS is a global leader in data and AI. With SAS software and industry-specific solutions, organizations transform data into trusted decisions. SAS gives you THE POWER TO KNOW®.

Speakers
Shadi Shahin

Shadi Shahin

VP of Product Strategy

SAS

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Beyond the black box: How agentic AI is redefining explainability AI has rapidly evolved from simple, rule-based systems into sophisticated autonomous agents capable of making decisions without direct human oversight. These advanced systems, known as "agentic AI," go beyond basic automation to independently sense environments, evaluate options, and take actions to achieve specified objectives. However, as AI autonomy expands, a critical question emerges: Can AI systems that act autonomously still be explainable, and more importantly, how do we govern them responsibly?
AI agent governance: The new frontier of trustworthy AI As AI agents gain autonomy, who governs their actions? How do we ensure they align with human values, ethical standards, and legal frameworks?
Understanding the components of an AI agent: A five-step life cycle It is promising to reshape industries, streamline operations, enhance customer experiences and drive smarter decision-making in ways we couldn’t have imagined just a few years ago. As businesses, leaders, and innovators, it’s vital to understand how these systems actually function, not just from a theoretical standpoint but from a real-world perspective. In this blog, I’ll explain the core components of an AI agent and how they combine to create the powerful, autonomous systems that everyone is talking about today.
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