At SAS Innovate, attendees saw something they might not have expected. Amongst conversations about data, AI and enterprise transformation, they found themselves doing basketball drills. Real ones. With former Orlando Magic guard Cole Anthony at the center. Powered by SAS technology. And created by an unconventional duo of R&D and
A hands-on introduction to SAS Notebooks in SAS Viya Workbench, showing how to combine code, SQL, and Markdown for a more productive and interactive coding experience.
This guide shares the top keyboard shortcuts to boost productivity in VSCode, especially when using SAS Viya Workbench with Python or SAS notebooks. It includes built-in commands for navigating and editing notebooks, plus instructions for creating custom shortcuts tailored to your coding workflow.
Fearmongers would have you believe that AI will replace us, but I truly believe there has never been a better time in history to be a developer. With the advance of artificial intelligence into generative AI (GenAI) and enhanced computing power, we stand on the brink of a new era
The new SAS developer portal has a permanent home Say sayonara to the old SAS developer portal. We recently shut it down. The new portal is live and has a new home. The old and new sites were living side by side while we finished up some development work. Now
Developers and modelers face challenges when finding and validating data, collaborating across groups, and transferring work to an enterprise platform. Using a self-service, on-demand compute environment for data analysis and machine learning models increases productivity and performance while minimizing IT support and cost. In this Q&A, Joe Madden, Senior Product
Understanding the problem Working with character data of different encodings across different systems can occasionally result in failures to translate or transcode that data from its source format to a destination format. When using a SAS/ACCESS LIBNAME engine to query DBMS data, this scenario can end up causing errors when
Site relaunches with improved content, organization and navigation. In 2016, a cross-divisional SAS team created developer.sas.com. Their mission: Build a bridge between SAS (and our software) and open source developers. The initial effort made available basic information about SAS® Viya® and integration with open source technologies. In June 2018, the
As word spreads that SAS integrates with open source technologies, people are beginning to explore how to connect, interact with, and use SAS in new ways. More and more users are examining the possibilities and with this comes questions like: How do I code A, integrate B, and accomplish C?
Every person in my department at SAS (User and Customer Marketing) is involved in supporting SAS Global Forum in one way or another. One of the major roles is to coordinate the SAS Demo Area. I recently had a chat with my co-worker Katie Strange, who is responsible for teaming
When I first started as a data scientist, there was a gap. I met with dozens of organizations who would invest time and resources into building accurate and tuned models and then ask, “What now?” They had a fantastic model in hand but couldn’t get it into a place and
Technology advances fast, but meaningful innovation still comes down to one truth: systems work best when they’re built around people. In risk, fraud, and compliance (RFC), this means designing tools that understand intent, reduce friction for investigators, protect sensitive data, and adapt as fraud evolves. The Grace Hopper Celebration (GHC)
Small language models like GLiNER provide an efficient, deterministic, and flexible solution for named entity recognition, bridging the gap between traditional NLP and large language models for enterprise information extraction.
Generative AI has seen drastic improvement in image, video, audio, and text generation within the last few years. Humans, on the other hand, are still catching up on determining when it’s appropriate to use Generative AI and how to review the content generated by AI before sharing it with others.
There are moments in your career that stay with you forever – not because they were carefully orchestrated – but because they were fueled by passion and a desire to make a real difference. For R&D Senior Director, Dan Tamburro, one of those moments came shortly after the terrorist attacks
At SAS, we use and contribute to a wide range of open source projects. This series – SAS Contributes – highlights how our teams give back to the open source community. In this installment, we’re focusing on OpenSearch. If you’ve ever sifted through thousands of system logs or product reviews to
If you’re building AI solutions today, you already know the stakes: faster decisions, trusted results and the ability to scale without blowing up your compute budget. What you may not always see is what’s happening under the hood to make that possible. That’s where strong technology partnerships matter. For more
Procurement has long been burdened by complexity – slow contract cycles, compliance risks and manual handoffs that eat away at time and efficiency. As AI matures beyond basic chat interfaces and static outputs, procurement leaders are beginning to witness the transition from manual inefficiency to automated agility. What makes agentic
Learn how to use SAS code (PROC HTTP) to read and write files from your Microsoft OneDrive, Microsoft Teams or SharePoint Online. You'll learn how to create a Microsoft Office 365 app, connect to it with SAS, and automate the integration with your office productivity environment.
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
“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”
Generative AI (GenAI) has moved past its experimental phase. It is now deeply embedded in core business workflows, from sophisticated financial modeling and predictive analytics to dynamic content creation and strategic decision-making. This means the very definition of a “job-ready” professional has dramatically changed. Global surveys reveal the same trend:
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
Let SAS handle the data prep, R take care of the modeling, and skip the environment-hopping so your team can focus on building cool stuff faster.
Learn how to modernize legacy SAS workflows by integrating Python and automating processes using GitHub Actions and SAS Viya Workbench, enabling seamless collaboration and CI/CD across development environments.
My colleague Rick Wicklin maintains a nifty chart that shows the timeline of SAS releases since Version 8. A few of you asked if I could post a similar chart for SAS Enterprise Guide. Here it is. Like Rick, I used new features in SAS 9.4 to produce this chart
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
Agentic AI is more than just the next step in automation. It’s a shift toward systems that don’t just respond to commands – they reason, decide and act with a blend of analytics and embedded governance. This is the second blog post in a series exploring how to design AI
Machine learning engineers are among the most sought-after professionals in the data analytics and AI space today. But behind the buzzwords and job titles lies a role that requires data literacy and a range of skills in statistics, software deployment, critical thinking and ethical judgement. If you're wondering what this
Enforce SAS code standards using SASjs and GitHub Actions to maintain secure, readable, and maintainable code. Automated linting blocks non-compliant code from merging into protected branches.
