How to modernize your data estate for AI success
Improve AI readiness, governance and trust by establishing a modern data estate.
Artificial Intelligence
Five imperatives for responsible AI in government
As a public sector leader, the pressure to resolve operational issues in your organization is constant, and you may be considering new or better AI models, AI agents or more broadly applied generative AI (GenAI) applications. At the same time, growing use of AI can raise issues related to accountability,
AI engineering: The ethical and social imperatives
If it’s about building better systems, we must ask: Better for whom? In parts one and two of this series, I’ve looked at AI engineering as the discipline that integrates technical practices and orchestrates the -Ops landscape. And I’ve addressed end-to-end accountability, shared governance, and adaptive resilience. But there's a
Agentic AI raises the stakes in the insurance fraud battle
With agentic AI, insurers have new tools for their fight against sophisticated claims fraud.
Peers recognize SAS Viya among top analytics, AI and infrastructure platforms
Talking about analytics platforms online doesn't usually start with awards. It starts with experience. People often talk about what helps them scale projects. What makes AI easier to operationalize? What holds up under real-world pressure? Across peer review platforms like G2, SAS® Viya® users have been sharing those experiences – describing
3 keys to making the right decisions amid rising complexity
Most organizations encounter various complexities and bottlenecks. Whether it is due to continued economic uncertainty or shifting customer expectations. Much of this is also driven by data and AI, which are reshaping decision-making, including how societies approach labor. Ultimately, what will differentiate organizations is how they use their data and
7 sessions worth starting with at SAS Innovate 2026
With SAS Innovate 2026 approaching, it’s a good time to step back and look at what this year’s agenda says about the state of data and AI. As in any year, speakers and presenters will cover a wide range of topics, from platform fundamentals to emerging ideas just entering production.
From AI capability to leadership responsibility
Generative AI showed up in the enterprise fast. In what felt like no time, it went from something people were experimenting with to something leaders were expected to have a plan for. Not just whether to adopt it, but how it fits into the future of their organization. Underneath all
Modernizing to an open data lakehouse: Myths, missteps and must-knows
Adopting an open data lakehouse is like upgrading your data environment from a crowded regional terminal to a modern international airport. Modernizing to that lakehouse is the moment you realize the runways are too short, the control tower is running on outdated radar and half the jetways don’t line up
What’s possible when data and determination come together
What we do matters. For 50 years, SAS has helped customers turn data into decisions that move the world forward. In 2025, that impact came to life in more than 30 new customer stories – organizations using SAS to move faster, adapt with confidence and deliver outcomes that improve lives,