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”
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.
The emergency department (ED) has always been the front line of patient care – fast, chaotic and often lifesaving. But behind every quick decision made by a clinician, there’s a critical dependency: the lab. The link between EDs and hospital labs has a rich history, rooted in science, technology and
At SAS Innovate in Orlando, our partners shared how they’re driving meaningful change with SAS®. From strengthening financial services with AI-powered AML solutions, to helping marketers build privacy-conscious personalization, to enabling scalable, cloud-based analytics, they’re showing what’s possible when innovation meets collaboration. In the video above, you’ll hear directly from
In a world where headlines often warn of automation replacing jobs and AI outpacing human creativity, it’s easy for young professionals to feel uncertain about their place in the future. But this summer, a group of SAS interns proved that technology can be a tool for good. Through a data
The speed at which your organization can deploy new AI models determines your ability to stay ahead of the competition. It’s a measure of your ability to experiment and innovate, try new things and learn quickly. It’s also one of the reasons organizations are investing in SAS® Viya® – which
Ever feel like tech headlines are coming at you faster than your morning coffee kicks in? One minute it’s LLMs, the next it’s agentic AI, and suddenly your spreadsheet wants to talk back. In a world where innovation never hits pause, SAS isn’t just watching the change; we’re part of the
Every organization collects data, but collecting it isn’t enough. For companies that want to make personalized offers, detect fraud and optimize supply chains, decision-making is the ultimate measure of analytics success. But despite massive investments in data infrastructure and AI, many companies still struggle to bridge the gap between insight and action. That’s
Every day, AI is making choices that shape lives, industries and the future. But can we trust those choices? Organizations are making huge investments in AI, and it’s changing how decisions are made. But without clear results and proven value, investing in these technologies may be a failure. In fact,
Experimentation is the engine of innovation. Whether optimizing manufacturing processes, testing new materials, or simulating policy outcomes, the ability to run controlled experiments is essential. Design of experiments (DOE) is a well-established statistical methodology that helps organizations systematically explore the relationships between variables and outcomes. However, traditional DOE has its
Let’s face it, supply chains today can feel like one headline away from chaos. Whether it’s new tariffs, labor strikes, warehouse fires or unpredictable weather patterns, retail and consumer goods companies are constantly juggling curveballs. Each disruption comes with a price: tighter margins, out-of-stock products, unhappy customers and many operational
Get inspired by a SAS Hackathon team that used AI and IoT to tackle heat stroke.
AI agents take on more responsibility in our most sensitive systems – from finance to public safety to health care – one thing is clear: trust can’t just be designed in. It has to be sustained. Continuously. In the first two parts of this series, we explored the ethical foundations
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
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
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
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
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
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
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
AI is only as powerful as the data behind it. You’ve probably heard the phrase “garbage in, garbage out.” That’s always been true in analytics, but in today’s AI-driven world, the consequences of poor data are greatly amplified. Flawed models, biased predictions and opaque decision-making all trace back to one
I’m a credit card transactor – I pay off my balance in full each month and use credit purely as a payment method to avoid interest. Recently, a major payment processor experienced an outage that disrupted many money movement services. As a result, my scheduled electronic payment was converted into
When creative minds come together to solve real-world problems using the power of analytics, great things happen. The SAS Hackathon is more than just a competition; it’s a global innovation experience that brings together coders, domain experts and big thinkers from across industries and backgrounds. What we’ve been up to
Government productivity and transparency are hot topics, with trust in public institutions declining worldwide and global public debt levels nearing 100 percent of global gross domestic product. Managing fraud, waste and abuse (FWA) is key to public sector productivity. The British Government estimates that £39.8 billion to £58.5 billion of
Model governance has moved from "nice to have" to a "non-negotiable". As organizations deploy AI across industries like health care, banking and government, the demand for transparency, trust and accountability is louder than ever. SAS experts Briana Ullman, Product Marketing Manager and Vrushali Sawant, Data Scientist, discussed what that looks
There’s nothing like the energy of a first-time experience – especially at SAS Innovate. Whether it was the keynotes, the tech demos, the chance to connect with peers, or just soaking it all in, first-time attendees had plenty to say about what made the event stand out. We caught up with
