Energy was high as SAS Innovate brought a late show-style main stage session to life with The Late (Afternoon) Show, where Chief Technology Officer Bryan Harris and others were joined by Fresh Prince of Bel-Air duo Alfonso Ribeiro and DJ Jazzy Jeff. DJ Jazzy Jeff set the tone with throwback
Ask most people what gives AI its edge and they'll likely point to speed, automation or the aura of generative AI tools. But according to experts at SAS Innovate 2025, AI's real competitive advantage isn’t the algorithm – it’s the ability to use it responsibly to make trusted, faster, better decisions. As
The digital marketing landscape demands increasingly sophisticated audience targeting, yet many organizations struggle with the technical complexity of creating precise audience segments. The integration between SAS Customer Intelligence 360 and Amazon Bedrock is fundamentally changing how marketers approach audience creation through the power of generative AI (GenAI) and natural language
A recent article describes the main features of simulation by using the Synthetic Minority Over-sampling Technique (SMOTE). SMOTE was created to oversample from a set of rare events prior to running a machine learning classification algorithm. However, at its heart, the SMOTE algorithm (Chawla et al., 2002) provides a way
What if integrating your data for AI didn’t take weeks or months – but happened in minutes, without ever moving your data at all? That’s the vision guiding the development of a new data mapping agent at SAS. It’s not just a feature – it’s a potential shift in how
We’re constantly innovating to help organizations unlock the full potential of their data and AI capabilities. That’s why we have SAS® Viya® Copilot, a conversational assistant available in Viya that utilizes services from Microsoft Azure AI Foundry. With Viya Copilot, we’re transforming the way users interact with the platform, making it
The financial services industry is undergoing a period of profound change, driven by a dynamic economic landscape, increased regulatory scrutiny, changing consumer behavior and rapid technological advances. Banks operating in this environment are under increasing pressure to transform their risk modeling and decision-making ecosystems in order to remain competitive. This
For the 12th annual SAS NC State College of Design project, students used generative AI within B2B products in varying industries. The annual NC State Design Day came back for its 12th year. Like many years before, the future designers brought their "A game" to SAS world headquarters, showcasing innovative
Agentic AI in insurance has potential to transform insurance. Read four use cases.
The Synthetic Minority Over-sampling Technique (SMOTE) was created to address class-imbalance problems in machine learning algorithms. The idea is to oversample from the rare events prior to running a machine learning classification algorithm. However, at its heart, the SMOTE algorithm (Chawla et al., 2002) is essentially a way to simulate
Using 47 seasons of Survivor data, this analysis explores what gameplay traits correlate with winning, applying Python and SAS Viya Workbench to build predictive models. While stats like challenge wins and voting accuracy help narrow down potential winners, the findings suggest that intangible social dynamics play the most decisive role.
AI agents are no longer confined to labs and prototypes. They’re shaping how we live, work and make decisions. From customer service bots and self-driving cars to robotic surgical assistants and virtual companions, these systems now influence real outcomes in society. This is the first blog post in a series
What insurance companies need to know about the Fundamental Rights Impact Assessment (FRIA) The EU Artificial Intelligence Act (EU AI Act) is ushering in a new era of accountability and transparency for organizations deploying AI systems – particularly in high-impact sectors like insurance. The Fundamental Rights Impact Assessment (FRIA) is
As agentic AI systems evolve through protocols like MCP and A2A, traditional security practices must be adapted to address new risks such as goal misalignment and tool instruction abuse. This article explores practical threat modeling strategies, including goal alignment cascades and distinguishing between parameter-only vs. instruction-enabled tool calls.
The health care industry has more data than it can utilize in meaningful decision-support capabilities. Whether it is the volume, the velocity, or the variety of the data, wrangling insights from this incessant stream is a never-ending and complex task. Enter the age of AI, where an agent can synthesize
2024 patents represent innovative, never-before-seen technology and solutions SAS inventors were honored at the 20th annual Patent Dinner at The Umstead Hotel. In 2024, 44 patents were issued to SAS employees, representing technological advances in grid computing, software development testing, AI, wearable health devices, digital advertising, fraud protection and more.
While most people are familiar with Vitamin K1, which is essential for blood clotting, Vitamin K2 has unique benefits that are just beginning to be fully understood.
As someone deeply involved in the world of data science and artificial intelligence, I've seen firsthand how AI and machine learning have rapidly evolved from abstract concepts into indispensable tools shaping our everyday lives and industries. Across health care, finance, marketing and cybersecurity, these technologies are not merely enhancing operations
The financial industry is evolving at an unprecedented pace. Regulatory frameworks are becoming more complex, customer expectations are shifting and financial risks are emerging in new and unexpected ways. Because of this, relying on outdated risk management systems is no longer sustainable. Banks must adopt data-driven strategies to remain competitive
The demand for public sector efficiency is higher than ever. Civil servants are working with tighter budgets, smaller teams and rising expectations. Despite their efforts, critics and stakeholders believe they could still do more. If there has ever been a time for a miracle, it is now. AI is a promising
A few years ago, writing emails was a breeze. For someone like me, who loves to write, I didn’t use much effort to craft the right response. It was a part of my daily rhythm. Fast-forward to now and even a simple email gives me pause. I’m often fighting the
SAS programmers love to brag that the SAS will still run a program they wrote twenty or forty years. This is both a blessing and a curse. It's a blessing because it frees the statistical programmer from needing to revisit and rewrite code that was written long ago. It's a
Learn about how I used Python, SAS, GPS, and heart rate data to track and visualize my snowboarding performance.
Get an introduction to AI Copilot for the SAS Strategic Supply Chain Optimization Model, designed to democratize access to advanced modeling capabilities.
The manufacturing industry is at a fascinating crossroads, brimming with potential for groundbreaking advancements. We find ourselves in an era of unprecedented data surges, intricate supply chain networks and a relentless drive to innovate. This dynamic environment, now known as Industry 4.0 – 5.0, has cultivated a fertile ground where
Sea turtles face growing threats from climate change, pollution and habitat loss – making innovative conservation efforts more urgent than ever. But there's a powerful ally in their corner: AI. We’re pretty familiar with sea turtles here at SAS. But, for those who need a refresher, SAS has been collaborating with
Introducing the new third edition of SAS For Dummies, covering SAS 9.4, SAS Viya, SAS Visual Analytics, SAS Viya Workbench and more!
Every organization faces the challenge of improving customer service and delivering experiences that delight customers. Swedbank Insurance, Get’mo and OREA, three teams participating in the SAS Hackathon, are no exception. Each encountered unique obstacles in delivering better experiences for their customers. With creative solutions tailored to their specific needs, these
Isaac Newton had many amazing scientific and mathematical accomplishments. His law of universal gravitation and his creation of calculus are at the top of the list! But in the field of numerical analysis, "Newton's Method" was a groundbreaking advancement for solving for a root of a nonlinear smooth function. The
Generative adversarial networks (GANs) offer a promising solution by creating synthetic data that mimics real datasets, allowing developers to build models without exposing sensitive customer information.
