No matter what industry you’re in or where you are in your career journey, you can benefit from AI. With that in mind, what can we all do to make sure AI is more available and more accessible to everyone? “The future is AI. It’s now. And it’s revolutionizing the
Empathy, courage and the power of vulnerability are the source code we need for the changing future of work. With more than 23 million views of her 2010 “Power of Vulnerability” TED Talk, six number-one New York Times bestselling books, two award-winning podcasts (Unlocking Us and Dare to Lead) and
When most people think of AI, they picture futuristic technology taking over decision-making processes. But according to Jared Peterson, VP of Platform Engineering at SAS, the real value of AI isn’t replacing humans – it’s changing the way you work and run your organizations. Peterson’s presentation at SAS Innovate 2025
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
We’re constantly innovating to help organizations unlock the full potential of their data and AI capabilities. That’s why we’re excited to introduce SAS Viya Copilot, an AI-driven conversational assistant embedded directly into the SAS Viya platform through integration of Microsoft Azure AI Foundry. With Viya Copilot, we’re transforming the way
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
Rapid advancements in artificial intelligence (AI) technologies, such as large language models (LLMs), have triggered radical transformation in insurance. While they have already reshaped how AI is used, LLMs alone are not sufficient for real-world decisioning. Some of the standard ways insurers have used LLM-based chatbots in the past are
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. But with this growing influence comes an urgent question:
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.
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
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
“It was the best of times, it was the worst of times.” This famous line from A Tale of Two Cities also rings true when describing the modern-day tale of marketing and marketing technology managing the customer journey at the dawn of the AI era. Disruption leads to good times
What happens when you combine curiosity, chopsticks and a wobbly Jenga tower? You get a fun (and slightly nerve-wracking) way to talk about SAS Innovate. We wanted to hear how some of our colleagues are contributing to this year’s big event, but we didn’t want to just ask them the
With a packed agenda of sessions, navigating a conference like SAS Innovate can feel overwhelming – especially for first-time attendees. Where to start? What do you mean I'll hear from inspiring and knowledgeable speakers and business leaders? There's hands-on experiences, too? No worries. After combing through the schedule, I’ve identified
Synthetic data has become a valuable resource in data science and machine learning. Superior quality, reliable synthetic data facilitates analysis and iteration at scale while mitigating privacy concerns associated with real data and can fill gaps where real data is scarce. Note, however, that “good” synthetic data is not defined
What if your cloud analytics environment was smart enough to spin up the exact amount of computing resources required for any specific job? What if you had an AI tool that could determine your computing needs for any given analytics project, scale up to run the job and then scale
Digital twins are revolutionizing manufacturing by providing real-time, virtual representations of physical assets. The ability to create and refine digital replicas using live sensor data is optimizing efficiency, reducing downtime and unlocking new levels of innovation. While many organizations are still operating with “digital shadows” – historical data models that
Navigating the interpretability paradox of autonomous AI: Can we maintain trust and transparency without sacrificing performance? AI has rapidly evolved from simple, rule-based systems into sophisticated autonomous agents capable of making decisions without direct human oversight. These advanced systems, known as "agentic AI," go beyond basic automation to independently sense
Imagine a world where data doesn’t just sit in spreadsheets but drives smarter decisions and sparks innovation. Across the globe, companies are tapping into advanced forecasting and analytics to make this a reality. From rethinking forecasting as a global materials science leader to refining processes in the transportation sector, these
AI has been largely reactive for years: following human commands, assisting with tasks and providing insights based on predefined rules. But 2025 is shaping up to be the year of agentic AI, where AI agents exist to not just respond to human input but act independently. In the movie I, Robot, there's
As AI agents gain autonomy, who governs their actions? How do we ensure they align with human values, ethical standards, and legal frameworks? The urgency of governance for AI agents AI is no longer just a tool – it is becoming an actor in decision-making processes. From AI research assistants
AI agents are the tech trend of the moment. It is promising to reshape industries, streamline operations, enhance customer experiences and drive smarter decision-making in ways we couldn’t have imagined just a few years ago. As businesses, leaders, and innovators, it’s vital to understand how these systems actually function, not
AI is reshaping insurance – from streamlining underwriting and fraud detection to fighting climate risk.
In today's digital age, marketing technology (MarTech) plays a crucial role in how businesses engage with their customers. However, the success of truly contextual customer engagement hinges on one fundamental principle: trust. Building and maintaining customer trust is essential for long-term business success, as it fosters loyalty and contributes to
As AI agents gain autonomy, the ability to make informed, strategic decisions – at scale – becomes mission-critical. AI has evolved rapidly. We started with rule-based automation and then moved to machine learning models. Then 2023 was the year of ChatGPT, and 2024 was the year of multi-modal AI. We’re now
The world of data and AI is evolving at breakneck speed, with 2025 shaping into a year of breakthroughs and significant challenges. From AI model hallucinations to the role of synthetic data in innovation, industry leaders are grappling with complex issues that will shape the future of technology. I recently
Let’s talk about the must-attend event of the year: SAS Innovate 2025. It’s happening May 6-9 in Orlando, Florida and it’s not your average tech conference. Think groundbreaking innovation meets star-studded entertainment. Plus, a little nostalgia to keep things fun. Where else can you hear industry leaders lay out the
Ida B. Wells was a pioneer in the United States who used data collection and analysis methods well ahead of her time. Today, she might be called a data scientist, but I'll call her a boss! Her approach to documenting and analyzing lynchings back in the day (late 19th century)
