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.
The post How to build predictive health care AI from data to decision appeared first on SAS Blogs.
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.
The post The three components you need to use agentic AI with SAS appeared first on SAS Blogs.
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 [...]
The post What’s next for customer engagement appeared first on SAS...
AI can analyze data, automate tasks and accelerate decisions. But as organizations adopt AI more broadly, one question continues to surface: What role do humans play? During the opening session at SAS Innovate 2026, SAS CTO Bryan Harris put that tension plainly when he asked, “Will people matter?” He described a growing [...]
The post Do humans matter? SAS Innovate attendees weigh in...
A bank deploys a new AI-powered credit decisioning model. The technology works. The model performs well. The business team is ready to move forward. Then the questions begin. Can we explain the recommendation? What data was used? Who approved the model? How do we monitor performance over time? What happens [...]
The post Trust first, scale faster: The new role of AI governance in...
Public health systems are under pressure from rising costs, workforce shortages, increasing demand and limited resources. Data and AI can help organizations use their resources more effectively, improve care decisions and deliver better outcomes. But the next phase of health care AI will depend on more than what the technology [...]
The post Health care AI in a regulated world: Why...
Rules-based decisioning engines (also known as enterprise decisioning applications) have long been a mainstay for marketers. These applications automate marketing actions using predefined business rules. When the decision is executed as part of a marketing campaign, specific conditions defined in the rules will trigger actions without requiring manual segmentation or [...]
The post AI...
As SAS celebrates its 50th anniversary, one question naturally follows: What comes next? Few groups have a better vantage point than the partners who work alongside SAS every day. They help organizations apply analytics and AI across industries, giving them a front row seat to the challenges customers are trying [...]
The post SAS partners answer what's next for AI and analytics...
The pace of modern IT operations is collapsing under the volume of alerts and the slow speed at which teams can contextualize data during active incidents.
In this episode, Luke Rotta, Director of Site Reliability Engineering at Charles Schwab, examines how fragmented tooling, slow triage, and human‑driven workflows create persistent drag on response speed in conversation with...
Financial institutions are pushing agentic AI past pilot mode and into document-heavy, regulated workflows like AML alerts and account closures, but many leaders still lack a clear model for where automation should run freely and where human judgment has to stay in the loop. In this episode, Yoav Naveh, Co-Founder and Co-CEO at Reindeer AI, examines how banks are structuring agent oversight...