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
SAS' Greg Massey describes a real-world example of digital transformation for a large customer grappling with manually reviewing patient medical records.
SAS' Bahar Biller guides you through an asset lifetime prediction scenario using a synthetically generated historical data set and a solution built on SAS reliability modeling.
I've been fortunate to work on advanced analytics, machine learning and AI for more than 25 years. It’s more than a job. It’s my passion. So naturally, I was very interested in tuning into Microsoft AI CEO Mustafa Suleyman’s TED talk, What is an AI anyway? From my perspective, Mustafa
SAS' Varun Valsaraj demonstrates how to build a digital assistant for a warehouse space optimization use case.
SAS' Julia Florou-Moreno shows you how to use generative AI to build a digital assistant that interacts with a model using natural language conversation.
Can we use Computer Vision (CV) to recognize the identity of over 500 Galapagos sea turtles by using just an image? This was the question asked of SAS by researchers at the Galapagos Science Center (GSC), a joint partnership between the University of North Carolina at Chapel Hill’s (UNC) Center for
