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Explore how SAS Health and SAS Viya help healthcare organizations transform clinical and operational data into predictive, AI-driven decisioning workflows that improve patient outcomes through risk identification, model deployment, and governed agentic AI.
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Learn how SAS 9 programmers can use agentic AI tools such as Claude Code and ChatGPT Codex with SASPy to automate code generation, execution, testing, and debugging while maintaining human oversight, validation, and ownership of results.
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This post introduces a conceptual, plug-and-play predictive maintenance framework for wind farm management.
The post Predictive maintenance for wind farm management with SAS: From real-time sensor d...
Customer engagement is entering a new era that’s evolving very quickly. And it’s not defined by more messages or channels – it centers on intelligence, autonomy and trust. As organizations rethink how they connect with customers, a new model is emerging: engagement that predicts, learns and acts with purpose. In [...]
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Most of us think about digestion only shortly after we eat or if we experience gastrointestinal symptoms, but our guts are busy clearing leftover food particles, waste, and bacteria long after a meal. This digestive tract housekeeping involves a pattern of cleansing waves called the migrating motor complex (MMC), and [...]
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