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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 Modernizing to that lakehouse is the moment you realize the runways are too short, the control tower is running on outdated radar and half the jetways don’t line up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
Saber qual modelo de inteligência artificial usar para cada situação e como proteger dados de clientes é essencial quando organizações utilizam agentes de IA no atendimento ao cliente. Na segunda parte do artigo sobre esta tecnologia, conheça os pontos de atenção. No primeiro artigo desta série sobre agentes de inteligência
As despesas associadas a ecossistemas de agentes de IA podem aumentar rapidamente, assim como os problemas associados à falta de uma governança robusta. Entenda o que está em jogo no primeiro artigo da série sobre estes sistemas no contexto de atendimento ao cliente. Agentes de inteligência artificial (IA) vieram
Years ago, I wrote an article about the "trap and cap" programming technique. The idea is that programmers should "trap" inputs to functions (like SQRT, LOG, and QUANTILE functions) to avoid domain errors. In addition, when visualizing a function's range, you should "cap" the output to improve graphs of functions
Organizações vivem um momento de transformação na forma como abordam a nova era prevenção à fraude, principalmente em relação aos dados que são usados para este fim. Para além dos dados transacionais tradicionais, uma tendência observada neste ano é o crescimento do uso de informações vindas de fontes como telemetria veicular, monitoramento
A revolução de dados que impulsiona a inteligência artificial nos coloca diante de um dilema jurídico, relacionado à inovação e privacidade no contexto jurídico: como equilibrar a necessidade de grandes quantidades de dados para a inovação com o direito fundamental à privacidade? Este desafio não é apenas técnico, mas também
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