Agentic AI for insurance underwriting: The what, why and how
With strong governance, data quality and thoughtful integration, agentic AI can transform insurance underwriting.
Artificial Intelligence
Revolutionizing emergency care diagnostics with AI: 3 key factors
The emergency department (ED) has always been the front line of patient care – fast, chaotic and often lifesaving. But behind every quick decision made by a clinician, there’s a critical dependency: the lab. The link between EDs and hospital labs has a rich history, rooted in science, technology and
Transforming finance with AI-powered AML
At SAS Innovate in Orlando, our partners shared how they’re driving meaningful change with SAS®. From strengthening financial services with AI-powered AML solutions, to helping marketers build privacy-conscious personalization, to enabling scalable, cloud-based analytics, they’re showing what’s possible when innovation meets collaboration. In the video above, you’ll hear directly from
How SAS interns used data to drive change – and discover their power
In a world where headlines often warn of automation replacing jobs and AI outpacing human creativity, it’s easy for young professionals to feel uncertain about their place in the future. But this summer, a group of SAS interns proved that technology can be a tool for good. Through a data
Tech takes: Jared Peterson on LLMs, agentic AI and low-code/no-code
Ever feel like tech headlines are coming at you faster than your morning coffee kicks in? One minute it’s LLMs, the next it’s agentic AI, and suddenly your spreadsheet wants to talk back. In a world where innovation never hits pause, SAS isn’t just watching the change; we’re part of the
What’s in a decision?: Four components needed to operationalize your analytics
Every organization collects data, but collecting it isn’t enough. For companies that want to make personalized offers, detect fraud and optimize supply chains, decision-making is the ultimate measure of analytics success. But despite massive investments in data infrastructure and AI, many companies still struggle to bridge the gap between insight and action. That’s
AI can make fast decisions – but can you trust them?
Every day, AI is making choices that shape lives, industries and the future. But can we trust those choices? Organizations are making huge investments in AI, and it’s changing how decisions are made. But without clear results and proven value, investing in these technologies may be a failure. In fact,
An innovative approach to design of experiments with synthetic data
Experimentation is the engine of innovation. Whether optimizing manufacturing processes, testing new materials, or simulating policy outcomes, the ability to run controlled experiments is essential. Design of experiments (DOE) is a well-established statistical methodology that helps organizations systematically explore the relationships between variables and outcomes. However, traditional DOE has its
Staying ahead of supply chain disruptions – without starting from scratch
Let’s face it, supply chains today can feel like one headline away from chaos. Whether it’s new tariffs, labor strikes, warehouse fires or unpredictable weather patterns, retail and consumer goods companies are constantly juggling curveballs. Each disruption comes with a price: tighter margins, out-of-stock products, unhappy customers and many operational
5 myths about synthetic data – and what’s actually true
Synthetic data – algorithmically generated data that mimics real-world data – has emerged as a cornerstone in modern AI workflows. But its promise comes with persistent myths about its capabilities, limitations and reliability. Synthetic data is being explored across industries, from training machine learning models to helping businesses safeguard customer