SAS Innovate 2026 is building on what attendees loved last year while introducing a few meaningful updates. More content for the SAS user community SAS User Day: An afternoon dedicated to content curated by SAS User Groups from around the world, offering peer-driven sessions and practical insights. This will take
Governance, risk and compliance (GRC) frameworks are well established on paper. Most organizations have strategies, policies, risk registers and controls in place. Yet for many leaders, the reality looks quite different. Processes remain opaque. Responsibilities blur across functions. Regulatory changes trigger reactive workarounds rather than controlled execution. Audits consume excessive
For years in enterprise analytics, the focus was on capability. More data. Faster computing. Stronger models. Organizations have invested heavily in modern data platforms to close the sophistication gap. That gap is largely closed. What hasn’t closed is the execution gap. Platform teams are discovering something: even in highly mature
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.
In the enterprise risk and fraud space, the word "creativity" has traditionally implied a lack of control. For decades, organizations have refined deterministic models – if credit score is X and debt-to-income ratio is Y, then take action Z – to ensure compliance, repeatability and stability. That approach worked because
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. And underneath
Fifty years ago, analytics looked very different from what we know today. Computing power was limited, data was difficult to access and most organizations were only beginning to understand how statistical analysis could influence real-world decisions. Yet during this decade of rapid technological and cultural change, the foundation for modern
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,
