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¿Qué es FRTB? El FRTB (Fundamental Review of the Trading Book) es una reforma integral del Comité de Supervisión Bancaria de Basilea (BCBS) para corregir debilidades del marco previo de riesgo de mercado, evidenciadas en la crisis financiera de 2008. Sus objetivos principales son: Marco más robusto: metodología más precisa
Nueva taxonomía para Solvencia II La revisión de Solvencia II que entrará en vigor en 2027, mediante la Taxonomía 2.10, introduce cambios clave en capital, provisiones y reporting, reforzando la resiliencia del sector asegurador. Estas modificaciones exigen una adaptación tecnológica y operativa para garantizar el cumplimiento normativo, especialmente en áreas
Tecnologia pode impactar na relação de marcas com os seus clientes, construindo ou reforçando essas relações Em um cenário de constante transformação no marketing, martech e confiança do cliente ganham relevância diante de tantas novas tecnologias disponíveis. De um lado, a fragmentação das ferramentas de martech impõe barreiras à construção
Technology advances fast, but meaningful innovation still comes down to one truth: systems work best when they’re built around people. In risk, fraud, and compliance (RFC), this means designing tools that understand intent, reduce friction for investigators, protect sensitive data, and adapt as fraud evolves. The Grace Hopper Celebration (GHC)
En el mundo empresarial, pocas fugas de capital son tan silenciosas y costosas como el fraude en los procesos de compras. De acuerdo con la Association of Certified Fraud Examiners (ACFE), este tipo de irregularidades ocupa el segundo lugar entre las formas más comunes de fraude corporativo a nivel global.
In my first article on hyperparameter autotuning, I used a cake analogy to show how to use hyperparameter autotuning with Optuna and the sasviya.ml package in Python to improve detecting Higgs bosons in a particle accelerator. SAS Viya Workbench now supports hyperparameter autotuning in SAS code with a variety of
Here's what separates responsible innovators from everyone else: they ask uncomfortable questions before they build, not after. At the SAS Hackathon, five teams proved this in practice. Working under real-world constraints and problem statements, they didn’t start with frameworks or compliance checklists. They started with three simple questions: For what
Small language models like GLiNER provide an efficient, deterministic, and flexible solution for named entity recognition, bridging the gap between traditional NLP and large language models for enterprise information extraction.
Each year, the SAS Health Center Center and VETS Employee Inclusion Group gather leftover Halloween candy and put it to good use. This year marked the 13th annual candy drive, and SAS families once again showed up with their candy-coated generosity – tipping the scales at 480 pounds of candy. That
Mapping in SAS Viya gives the user plenty of options for maps to use. Signing in to ESRI on SAS Viya gives us many more. But what if the map that is needed is not available and is technically not a map at all? Well, not to worry, as there is
Generative AI has seen drastic improvement in image, video, audio, and text generation within the last few years. Humans, on the other hand, are still catching up on determining when it’s appropriate to use Generative AI and how to review the content generated by AI before sharing it with others.
As we wrap up 2025, subject matter experts across SAS have been thinking ahead to 2026 and how we might see AI evolve in the public sector over the next 12 months. Recently, we released a compilation of public sector AI predictions, including mine: AI-led extraction and entity resolution will
Fazer mais com menos, essa é a palavra de ordem de todos os governos. No entanto, alcançar esse objetivo ainda é um grande desafio para a maioria dos gestores, especialmente em áreas onde os recursos são limitados, como saúde e educação. Os modelos de otimização de IA podem ser o
A inteligência artificial (IA) já é uma realidade em diferentes esferas do setor público, refletindo uma mudança de postura em relação à adoção de tecnologias emergentes. Antes vista como uma inovação distante, a IA vem se consolidando como uma ferramenta estratégica e, em muitos casos, como um caminho sem volta
As energy systems become more distributed, digital and dynamic, utilities are increasingly turning to AI and IoT to help modernize operations, improve reliability and accelerate decarbonization. Yet according to the IDC InfoBrief, How AIoT Is Reshaping Industrial Efficiency, Security, and Decision-Making, more than half of AIoT initiatives are still stuck in