At SAS Innovate in Orlando, some of our partners spoke firsthand about how they’re driving innovation and delivering results with SAS®. In the video above, leaders from across our partner ecosystem offer insights into how collaboration, innovation and analytics are coming together to solve complex challenges and deliver results that
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
AI is transforming every industry, from automating insurance claims to optimizing supply chains in manufacturing. But for many organizations, the challenge isn’t whether to adopt AI; it’s how to start. This blog, the first in a two-part series, outlines the initial steps you can take to deliver a strong foundation for
This is the second in a five-part blog post series that delves into modernizing marketing strategies through the integration of advanced marketing platforms. I had the pleasure of interviewing Shaun Memon of Munvo for this series, where we discuss a wide range of topics, from fragmented MarTech stacks, first-party data
I follow several data visualization experts on social media. Sometimes, I see a graph that I struggle to interpret. When that happens, I ask myself whether there is a simpler and more effective way to visualize the data. Recently, I saw an example of using a "horizon plot" to visualize
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
They say data is the new oil, but it’s only valuable if you can refine it into something useful. In transportation, that means turning raw traffic data, sensor inputs and video feeds into real-time insights that actually improve how we move. That metaphor set the tone for a 2025 IoT
Dietary fats often get a bad rap, but they’re essential for every cell in your body. Gram-for-gram, fats contain a little more than twice the calories of protein and carbohydrates, which is why they’re often targeted when trying to cut calories.
In an uncertain geopolitical world, integrated balance sheet management (IBSM) is crucial for building financial resilience. Fragmented risk systems hinder banks’ ability to navigate volatile markets. Isolated control models are especially problematic when managing liquidity, profitability and capital efficiently. According to a recent FT Longitude survey of executives from 300
We at SAS were proud to see Iain Brown, SAS Head of Data Science for Northern Europe and author of the book Mastering Marketing Data Science: A Comprehensive Guide for Today’s Marketers, recently acknowledged as one of the top 100 AI influencers on X/Twitter. (Number 36, not too shabby!) Iain
While researching a topic on effect sizes, I learned about a SAS function that is related to noncentrality parameters. I previously wrote an article about the noncentral t distribution, which is one of several well-known distributions that contains an optional noncentrality parameter. I mentioned that the PDF, CDF, and QUANTILE
My colleague Rick Wicklin maintains a nifty chart that shows the timeline of SAS releases since Version 8. A few of you asked if I could post a similar chart for SAS Enterprise Guide. Here it is. Like Rick, I used new features in SAS 9.4 to produce this chart
At SAS Innovate, attendees saw something they might not have expected. Amongst conversations about data, AI and enterprise transformation, they found themselves doing basketball drills. Real ones. With former Orlando Magic guard Cole Anthony at the center. Powered by SAS technology. And created by an unconventional duo of R&D and
What if the data behind your next prescription could help save lives – not just yours, but millions more? Behind the scenes, researchers are turning everyday health records into powerful insights that shape the safety of drugs and medical devices. At the heart of this work is Cheryl Walraven, a
SAS world headquarters felt charged with momentum as Jason Mann, VP of IoT, welcomed a room full of curious minds to the 10th annual IoT Slam Live. “We are in the midst of a technology boom unlike anything we’ve seen before,” Mann said in his opening remarks. “In this environment, the ability
The first leg of SAS Innovate on Tour has wrapped and what a journey it has been. These initial stops have set the tone for a year of innovation. Each recap below captures the energy and insights from the events so far, offering a glimpse into how data and AI
A previous article discusses a "Catch-22" paradox for fitting nonlinear regression models: You can't estimate the parameters until you fit the model, but you can't fit the model until you provide an initial guess for the parameters! If your initial guess for the parameters is not good enough, the nonlinear
Think of data engineering as plumbing for the digital world. All those smart dashboards, AI models and analytics reports don’t work unless someone builds the pipelines that bring clean, usable data to them. That someone is a data engineer. Why data engineers are suddenly in the spotlight AI is everywhere today
Fraud and financial scams are on the rise. According to the FBI's Internet Crime Complaint Center's annual report, scammers stole a record $16.6 billion in 2024, a 33% increase from 2023. This problem affects everyone. The SAS Faces of Fraud Study revealed that 70% of consumers have fallen victim to
Recently, I was in London for SAS Innovate on Tour, where I talked to customers, partners and tech enthusiasts about how SAS can help you be more productive with data and AI technology. The event was incredible, but it was the venue that truly blew me away. Kings Place, located
This guide explains how businesses can successfully implement generative AI by focusing on narrow use cases, curating data, leveraging AI agents, safeguarding sensitive information, monitoring for bias and toxicity, and ensuring model accuracy and relevancy.
For many of us, our smartwatch is almost always on our wrist, monitoring our sleep, steps, heart rate, workouts, and even our calorie burn. We use it to provide insights into our health, fitness, and recovery. In fact, they often influence how hard we train, when we rest, and how
Back in the 80s and 90s, life was simple. Kids roamed the neighborhood. Parents didn’t track them with GPS. Commercials interrupted your TV shows and you watched them. If you wanted to know if Ross and Rachel got back together, you waited – patiently – for the next episode. Research
Financial fraud is a high-stakes issue in banking, where schemes are becoming increasingly sophisticated and costly. As a result, detecting anomalies quickly and accurately is a top priority. But traditional data-driven fraud detection models face challenges such as data scarcity, privacy constraints, and model bias. This is where synthetic data
I have previously written about the moment-ratio diagram as a graphical tool for modeling univariate distributions and also as a tool for examining the distribution of the skewness and kurtosis statistics for distributions. The simple moment-ratio (M-R) diagram from my book (Wicklin, 2013, Simulating Data with SAS, Chapter 16) is
How I collected birdsong detection data from BirdNET-PI and used SAS to visualize the bird visits across the seasons.
This is the first in a five-part blog post series that delves into modernizing marketing strategies through the integration of advanced marketing platforms. I had the pleasure of interviewing Shaun Memon of Munvo for this series, where we discuss a wide range of topics, from fragmented MarTech stacks, first-party data
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
Agentic AI is more than just the next step in automation. It’s a shift toward systems that don’t just respond to commands – they reason, decide and act with a blend of analytics and embedded governance. This is the second blog post in a series exploring how to design AI
Many of today’s fraudsters are figuring out how to use AI to automate and structure scams that are unique to each person they target. If fraudsters can analyze your data, learn your patterns, track your interests, and exploit who you trust – how can you combat them? According to SAS
