Ant Colony Optimization metaheuristic in SAS Optimization
Authors: Subbu Pazhani and Rob Pratt In a recent post, we demonstrated how Simulated Annealing (SA) can be used to solve the Traveling Salesman Problem (TSP) by using
Understanding humans’ value in work
What if the real disruption in AI isn’t that machines are becoming more capable but that we’re quietly redefining work in ways that make humans less so? It’s an uncomfortable question.
What one of SAS’ earliest customers remembers 50 years later
Fifty years later, Barry Merrill still remembers where it all started. In an interview, Merrill reflected on discovering SAS through a small notice in Datamation
How one SAS partner turned analytics into an interactive experience
Conference demos often struggle with the same challenge: showing people what technology can do without asking them to sit through another product presentation. At SAS
Agentic AI in banking: Turning customer insights into action
When good insights lead to confusing experiences Banks know a lot about their customers. They know how often someone logs in, what products they use,
탐지가 전부가 아니다, 사기 위험 관리 사이클 4단계
사기 탐지(Fraud Detection)를 생각하면 많은 사람들이 “이상 징후를 잘 잡아내기만 하면 된다”고 생각합니다. 하지만 사실 탐지는 사기 위험 관리 사이클(Fraud Management Cycle)의 첫 단추에 불과합니다.
Create two types of Pareto charts in SAS
A Pareto chart is a popular chart for statistical quality control. It is often used to display the relative frequencies of issues that affect
Scaling submission automation with SAS Clinical Acceleration on Viya
Clinical programming teams are under pressure to deliver submission-ready data faster, with fewer handoffs and less rework. SAS Clinical Acceleration on Viya is designed to
Decision intelligence: Why insights alone don’t create value
Most organizations are struggling to use AI insights. Even as it’s been easier than ever to produce predictions, recommendations and scores, many data science and
Why AI projects fail before the model ever runs
AI readiness is often framed around models, technology and talent. In practice, it starts with something more fundamental: trusted data. Without clean, integrated and governed
