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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
As AI agents act autonomously in public spaces, recent incidents highlight the urgent need for strong guardrails, ethical alignment, and human judgment to ensure AI augments society rather than undermines trust, work, and human connection.
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
Financial institutions are entering a new phase in credit risk modeling. AI and machine learning are no longer experimental capabilities. They are becoming central to how risk is assessed, priced and managed at scale. At the same time, regulatory expectations are evolving. The European Central Bank (ECB) has opened the
As AI agents optimize how they communicate, the shift away from human-readable language underscores why transparency and interpretability are essential for building trust in autonomous systems.
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
When you implement a numerical algorithm, it is helpful to write tests for which the answer is known analytically. Because I work in computational statistics, I am always looking for test matrices that are symmetric and positive definite because those matrices can be used as covariance matrices. I have previously
As AI agents gain autonomy and access to sensitive systems, emerging threats like prompt injection worms highlight how human-like security training and governance must evolve to prevent large-scale, opaque cybersecurity breaches driven by agent behavior.
Vivemos um ponto de inflexão na governança global da inteligência artificial, que agora adentra o campo do direito internacional e da soberania estatal. As esperanças de uma regulamentação internacional unificada entre EUA e China se desvaneceram, revelando um nacionalismo da IA — fenômeno que, sob o prisma do direito comparado,
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
The start of a new year is synonymous with improved lifestyle patterns. If healthier eating habits have become your goal, you are in good company. And if you are finding yourself getting off-track by now, you are also in good company. Choosing consistency over perfection - and with SAS Food
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,
A previous article shows how to compute various robust estimates of scale in SAS. In that article, I show how to scale these robust estimators so that they become consistent estimators of the standard deviation (σ) when the data are normally distributed. The scaling factor is related to the expected
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