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If you’ve been experimenting with tools inside ChatGPT or Claude, you’ve probably seen how quickly an AI agent can surface useful information. It can pull data, summarize what’s happening and point you in the right direction. That part works. Where things still break down is what happens next. You find
Pandemics. Wars. Energy crises. Unprecedented circumstances can make it hard to build accurate forecasts, especially when forecasts are based on historical data alone, explains Josh Ackerman, a Data Scientist Manager at DOW. “It’s hard to make strategic decisions when you can’t predict the future from the past,” says Ackerman. Leaders
A course in elementary statistics always introduces the "Z-score." A Z-score is the result of standardizing a normally distributed random variable. By subtracting the distribution's mean and dividing by its standard deviation, you transform a general normal random variable into a standardized variable that has zero mean and unit standard
At SAS Innovate 2026, best-selling author and podcaster Mel Robbins joined CMO Jenn Chase on the main stage for a candid, energizing conversation about change – why it’s so hard, why it feels relentless right now and how we can show up more effectively as leaders, teammates and humans. From
After another SAS Innovate, let’s revisit some images from the past and talk about the evolution that brought us to where we are today. A community built from the start (1976) In 1976, the same year SAS was incorporated, a few hundred users gathered for the first SAS user conference.
In fraud prevention, the most consequential moment is when a decision is made. Every flagged transaction, suspicious login or anomalous pattern triggers a choice that must balance speed, accuracy, customer trust and regulatory responsibility. Act too aggressively and legitimate customers feel friction. Act too cautiously and fraud slips through. In
Let’s be clear – recapping the Dude Perfect session at SAS Innovate 2026 is going to sound a little uncanny. Some moments simply don’t translate easily into bullet points and corporate narrative, and this was absolutely one of them. When Dude Perfect took the main stage, energy levels spiked instantly,
If Day 1 asked what organizations should scale with AI, Day 2 showed what that looks like when trusted technology, industry expertise and human judgment come together in the moments that matter. Day 2 of SAS Innovate 2026 moved quickly from vision to application. Across banking, health care and life
There’s a question floating around in many conversations, leadership meetings, hiring decisions, at home and in the way companies are quietly restructuring. Most people aren’t saying it directly, but it’s there. SAS CTO Bryan Harris did say it directly at SAS Innovate 2026, which set the stage for this genuinely
Every lottery ticket printed is a forecast – and when that forecast is wrong, the consequences are immediate. “If the ticket’s there, you buy it. If the display is empty, you walk away,” said Kyle Gray, Insights and Analytics Manager at the North Carolina Education Lottery. “That moment is forecasting.”
There is a moment in every organization when you realize culture is not just "how we do things around here." It’s why we do them. Culture manifests in how we talk to each other, how we make decisions when things aren’t obvious and the tradeoffs we’re willing to live with.
If you scroll through job postings right now, you’ll see a pattern. Plenty of roles asking people to train models, fine-tune outputs, build agents and automate workflows. Fewer ones are asking for the kind of judgment that used to sit at the center of how decisions get made. At the
SAS leaders tipped their hats to the latest advances in data and AI and to the road ahead during SAS Innovate. Leaders shared updates across agentic AI, industry-ready models, data management, governance and emerging technology, all grounded in helping organizations put AI to work responsibly and at scale. Here is
A previous article discusses regression splines and how to use the EFFECT statement in SAS regression procedures to specify the location of knots for a regressor variable, X. Knots are breakpoints that partition the range of X into subintervals. The splines are defined on a set of adjacent subintervals. The
As we celebrate 50 years, we’re looking back at our statistical roots. They started in agriculture and expanded into life sciences, insurance and many other industries. Take a journey through time to hear the story shared by one of our first SAS employees. “SAS co-founder and Executive Vice President, John