If you’ve ever heard someone mention a “SAS User Group” and thought, “What does that actually mean?” you’re not alone. These groups are a cornerstone of the SAS ecosystem – but unless you’ve attended a meeting or conference and seen them in action, they can feel a little mysterious. Let’s break
The banking industry is at a crossroads. With rising customer expectations, intense competition, ever-evolving regulations and mounting cost pressures, financial institutions must transform – or risk falling behind. Enter agentic AI, an advancement in artificial intelligence that’s poised to redefine how banks operate, serve, and grow. What is agentic AI?
Imagine you're embarking on a road trip to your favorite vacation destination. Like most travelers today, you rely on a GPS to guide you. But not all GPS systems work the same way. Some provide a rigid, pre-planned route that doesn’t account for real-time changes. Others dynamically adapt and reroute
“What’s in the box?” This question can come from a joyous child tearing into a nondescript package – or it can come from Brad Pitt’s infamous line in the crime thriller Seven. Most of the time, what’s in the box ends with smiles and laughter. In banking, though, the “box”
This is the third 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
When it comes to exceeding “average,” school districts know it’s no easy feat. Improving student academic growth and achievement takes hard work, careful planning and a clear vision. Leaders like Kim Buryanek – the superintendent for Iowa’s Denison Community School district – and Nick Bradley, assistant principal at Denison Middle
With AI emerging as an increasing priority for organizations across all industries, it is critical for business and technology leaders to ensure AI is adding transformational value. That was the central theme in a recent conversation SAS CTO Bryan Harris had with streaming news channel Ticker. Harris shared his perspective
A new report from MIT estimates 95% of AI projects will fail. That’s staggering. Corporate GenAI pilots are failing to deliver significant revenue growth or measurable impact. The primary issues are not the quality of AI models, but a “learning gap” and flawed enterprise integration. Recent findings from the SAS
With AI, insurance underwriting evolves – and insurers can choose to manage the decisions of their AI agents.
With strong governance, data quality and thoughtful integration, agentic AI can transform insurance underwriting.
