Digital twin technology generates diverse, accurately labeled synthetic datasets in virtual environments, enabling faster, safer, and more reliable AI model development for PPE detection.
SAS' new approach to MRM streamlines your compliance and review process by delivering real-time model reporting and statistical outputs.
Authors: Shahrzad Azizzadeh, Kaustubh Khandwe, Bahar Biller, and Paul Venditti On large-scale solar farms, power loss is the silent drain on profits. Unoptimized panels chip away at efficiency, causing hidden losses that people often overlook—but those losses are never insignificant. In this post, we’ll uncover how to spot and solve these
Food assistance programs like SNAP are lifelines for millions of households. Yet, ensuring their accuracy is an ongoing challenge for state agencies managing them. Even small errors in eligibility decisions can quickly add up, costing states billions, straining resources and undermining trust in the program. The question isn’t whether these
In high-risk industries like construction and manufacturing, worker safety isn’t just a priority; it’s a constant challenge. Fast-moving environments, heavy machinery, and human unpredictability make it incredibly tough to monitor compliance and catch dangerous behavior before it leads to injury. As data scientists, we wanted to tackle that challenge head-on.
Authors: Subbu Pazhani and Rob Pratt Large-scale real-world optimization problems with advanced business rules are often difficult to solve with standalone traditional optimization algorithms. Metaheuristic algorithms often complement these traditional optimization techniques. These are a class of powerful and flexible algorithms designed to address complex optimization problems, which traditional methods
SAS is transforming the motor insurance claims process by integrating of tools - blending data management, ML, and UX into 1 complete system.
Health care fraud, waste, and abuse (FWA) cost the industry billions each year—but what if we could outsmart it? Enter SAS Payment Integrity for Health Care: Detect and Prevent, a groundbreaking solution that is redefining how we can tackle FWA. As the first to offer models-as-a-service in a Commercial Off-The-Shelf
Authors: Madhuri Kulkarni, Anand Surana, and Sudeshna Guhaneogi Imagine skipping the hours-long wait for your favorite amusement park ride by knowing when peak riding times are? Or how about having an itinerary that accounts for everyone’s favorite park activity? Ready for a wild ride? In this post, we explore how
Let’s be real: no single language rules the world anymore. It’s all about the right tool for the job. You’ve seen the lists: “Top Programming Languages of 2024.” “Python vs. Rust: The Ultimate Showdown.” “Why Java Refuses to Die.” But you rarely see SAS on these lists. And I get
Authors: Bahar Biller, Jagdishwar Mankala, and Jinxin Yi Managing spare parts inventory is a critical aspect of asset performance management, especially in industries where equipment downtime is costly. This post, based on a real-world project with a major aircraft manufacturer, explores how to optimize spare parts inventory under uncertainty. We
Enforce SAS code standards using SASjs and GitHub Actions to maintain secure, readable, and maintainable code. Automated linting blocks non-compliant code from merging into protected branches.
The health care industry has more data than it can utilize in meaningful decision-support capabilities. Whether it is the volume, the velocity, or the variety of the data, wrangling insights from this incessant stream is a never-ending and complex task. Enter the age of AI, where an agent can synthesize
The demand for public sector efficiency is higher than ever. Civil servants are working with tighter budgets, smaller teams and rising expectations. Despite their efforts, critics and stakeholders believe they could still do more. If there has ever been a time for a miracle, it is now. AI is a promising
Get an introduction to AI Copilot for the SAS Strategic Supply Chain Optimization Model, designed to democratize access to advanced modeling capabilities.
The manufacturing industry is at a fascinating crossroads, brimming with potential for groundbreaking advancements. We find ourselves in an era of unprecedented data surges, intricate supply chain networks and a relentless drive to innovate. This dynamic environment, now known as Industry 4.0 – 5.0, has cultivated a fertile ground where
Learn how to incorporate operational variables, or covariates, into predicting asset survival probabilities.
Get an overview of how the SAS Strategic Supply Chain Optimization model tackles complex supply chain challenges.
Although large language models (LLMs) dominated the spotlight in 2024, SAS' David Weik sheds light on other exciting developments that have largely flown under the radar. He explores what makes transformers so unique.
Find out how SAS Tax Compliance for Sales Tax addresses the tax gap and helps agencies overcome their resource constraints through SAS technology, robust analytics, and process automation.
Fast-paced technology like AI can have barriers to entry. Whether infrastructure, data limitations, talent gaps or complying with rapidly changing regulations. Organizations from health care to manufacturing and the public sector are often stymied by these obstacles that can slow AI adoption and use. Ready-made AI models can bypass the
SAS' Natalie Patten shows you the potential of integrating a country classification transformer into data cleansing workflows.
SAS' Shawn Romero introduces you to the SAS Payment Integrity for Food Assistance model.
Step behind the scenes to see the role of neural networks in detecting payment fraud.
SAS' Jennifer Hargrove introduces the SAS Medication Adherence Risk model, a way to identify patients at high risk of being non-adherent to their medication therapy so that interventions can be provided to help patients remain adherent.
Halloween is one of my favorite times of the year – I'm a Halloween enthusiast. It’s a time for spine-tingling thrills, haunted tales and lots of candy corn. But there’s one fear lurking in the shadows that sends shivers down the spines of data scientists, IT leaders and executives alike,
Managing the explosion of paper documents is complicated and expensive. Intelligent Document Processing (IDP), also known as Document Intelligence, addresses those challenges among other benefits.
AI is at its best when it is used to enhance productivity and improve the lives of those it affects. When used correctly, AI can also save lives. That’s the vision driving a new project at SAS, where applied AI models and cameras create a simulated work environment focused on
Where GPT-4o is concerned for computer vision, SAS' Jonny McElhinney, Julia Florou-Moreno, and Priti Upadhyay advocate a trust-but-verify approach.
In the ever-expanding universe of AI, one concept has been steadily gaining ground: Human-out-of-the-loop AI. This term encapsulates a profound shift in how we interact with technology, prompting us to reconsider the boundaries between human and machine intelligence. But what does it entail? And what implications does it hold for
