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
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
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.
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
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 Modernizing to that lakehouse is the moment you realize the runways are too short, the control tower is running on outdated radar and half the jetways don’t line up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 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,
Regulatory pressure is real. Regulations keep piling up – ESG, GDPR, supply chain due diligence and now the EU AI Act. There’s no sign of it slowing down. And it’s not just regulators watching; customers, partners, and investors have rising expectations. The situation feels like a pressure cooker. Leaders in
Think of your data platform like an international airport. If every airline used different jetways. Each gate enforced its own security rules. And baggage systems couldn’t talk to each other. Nothing would scale. Planes would idle. Costs would spike. Delays would be constant. That’s effectively how many enterprise data estates
Last year was a big one for AI – especially regarding agents, large language models (LLMs) and digital twins. With every new advancement that changed our lives for the better came something equally complicating (trust and governance, for example), but I firmly believe AI is steering us in the right
Manufacturers operate some of the most complex machinery on the planet – from CNC machines and industrial robots to gas turbines with over 20,000 components. Keeping these assets running smoothly is mission-critical, yet maintenance teams are often buried under vague alerts, scattered documentation and time-consuming root cause analysis. Much of
