Agentic AI is generating excitement and being cheered as the next frontier in automation and decision-making. However, beneath the buzz, lies a sobering forecast: Gartner warns that “over 40% of agentic AI projects will be canceled by the end of 2027, due to escalating costs, unclear business value, or inadequate
The SAS Championship is more than just world-class golf. It’s a week of events for everyone to enjoy. Keep reading to get a recap of what went down during the 25th iteration of this event. Where talent meets opportunity: HBCU Invitational and career day This year marked the fourth annual
I like metaphors. OK, fine, I lied: I love metaphors. They’re my go-to method for explaining concepts in relatable ways, and that’s what makes them so versatile and valuable. They meet people where they are to foster faster, better understanding. But is there a dark side to metaphors and other
In the latest Sounds of SAS video, Greg Kraus, SAS' Director of Product Accessibility, shared a pivotal moment that highlighted his team's groundbreaking work. A few years ago, his team experienced a milestone that redefined what inclusive technology could achieve. During a brainstorming session to showcase data sonification capabilities,
Financial institutions operate in a highly regulated, data-sensitive environment. At the same time, these institutions are under pressure to modernize credit scoring models that balance fairness, accuracy and compliance. The challenge? Most financial institutions lack access to the volume and diversity of high-quality, privacy-safe data needed to fuel these models.
Progress, not perfection. That was the underlying message at the 12th annual Women’s Day at the SAS Championship at Prestonwood Country Club. But with a full lineup of engaging speakers, inspiring stories and active networking opportunities for more than 250 professional women participating, the event came impressively close to perfect.
As we reach the 25th playing of SAS Championship, we decided to take a more recent lens by revisiting the last five years of play and performance data to explore how shot-by-shot analysis can reveal how each hole offers opportunity or trouble. From bogeys and bunkers to eagles and extraordinary
Leadership doesn’t start with a title; it starts with action. In statistical programming, that might mean stepping up to explain a complex data set in a cross-functional meeting, suggesting a new way to visualize results or taking ownership of a project that goes beyond coding. These are the moments where
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
AI systems have problems. They don’t always work right. They hallucinate, lie, or simply forget the all-important closing bracket in a JSON payload. AI systems need accountability, safeguards and oversight. But what should that look like? Human-in-the-loop (HITL) and its companion human-on-the-loop are in a nascent stage. These strategies, designed
