Tag: machine-learning

Analytics | Artificial Intelligence | Fraud & Security Intelligence | Machine Learning
Yuri Rueda 0
Estas son las nuevas tendencias que ayudan a las compañías contra el lavado de dinero

El lavado de dinero se continúa posicionando como una de las principales problemáticas ilegales, por su asociación con actividades ilícitas y crímenes financieros. Un reporte de Global Financial Integraty, titulado “Crímenes Financieros en América Latina y el Caribe: entendiendo los desafíos de los países y diseñando respuestas técnicas efectivas”, estimó

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Spanish
Banking | Government
Artificial Intelligence | Machine Learning
Sophia Rowland 0
A Nutrition Label for AI Models: SAS Model Cards Now Available

What sets the SAS Model Card apart from previous model cards is the use of descriptive visuals, to make model cards accessible to all personas involved in the analytics process, including data scientists, data engineers, MLOPs engineers, managers, executives, risk managers, business analytics, end-users, and any other stakeholder with access to the SAS Viya environment.

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English
Advanced Analytics | Artificial Intelligence | Machine Learning
Albert Qian 0
SAS Decision Builder in Microsoft Fabric: Helping you translate insights into action

SAS Decision Builder is a decision intelligence solution, which means that it uses machine learning and automation to augment human decision-making for better and faster insights that drive tactical and strategic business decisions. It’s a cousin to business intelligence and the next step after data engineering and model training, completing the analytics lifecycle to help achieve business goals.

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English
Advanced Analytics | Analytics | Artificial Intelligence | Data for Good
Ronaldo Costa 0
Modelos preditivos em saúde: apoio à gestão e ao bem-estar dos pacientes

Cada vez mais as ferramentas de IA apoiam a tomada de decisão e ajudam na criação modelos que identificam tendências e padrões de comportamentos que, juntamente com regras de negócios, permitem que as empresas tomem decisões mais assertivas, seja qual for sua área de atuação. As análises mais avançadas incluem

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Brazilian Portuguese
Health Care | Life Sciences
Learn SAS | Machine Learning
Sharad Saxena 0
New SAS Training Course: Statistics You Need to Know for Machine Learning

Developing an accurate understanding of statistics will help you build robust machine learning models that are optimized for a given business problem. SAS launched a new course that provides a comprehensive overview of the fundamentals of statistics that you'll need to start your data science journey. This course is also a prerequisite to many courses in the SAS data science curriculum.

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English
Customer Intelligence | Machine Learning
Lyse Nogueira 0
Machine Learning: a chave na promoção da melhor experiência do cliente

No mundo hiperconectado em que vivemos, os consumidores podem ter múltiplas jornadas de compras, com interações por sites, aplicativos, redes sociais ou até mesmo por uma ligação telefônica. Apesar das muitas opções de canais de contato disponíveis, o mais relevante para o cliente é a qualidade e o nível de

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Brazilian Portuguese
Banking | Insurance | Manufacturing | Retail
Analytics | Artificial Intelligence | Customer Intelligence | Machine Learning
Fernanda Benhami 0
Hiperpersonalización, la experiencia del cliente se lleva a nuevos niveles

Crear mejores experiencias para los consumidores, llevarlas a nuevos niveles y conectar estrechamente con ellos son las principales premisas sobre las que se fundamenta la hiperpersonalización, un término que hoy domina las sesiones de trabajo de las áreas de marketing. Su objetivo principal es combinar datos sobre el comportamiento histórico

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Spanish
Retail
Analytics | Artificial Intelligence | Machine Learning
Olivia Ojeda 0
Use-based insurance helps fleet operators obtain better rates

SAS Hackathon team, Data Hack Freaks, created an artificial intelligence (AI) and machine learning (ML) based dynamic pricing approach that allows insurance providers to adjust pricing based on the changing nature of the risk behavior of their customers. This solution has three major components: The loss ratio score, telematics score

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English
Insurance
Analytics
0
강력한 ModelOps의 필요충분조건! ‘SAS Model Manager’

IDC 마켓스케이프 보고서에서 MLOps 플랫폼 부문 리더 제품으로 선정된 ‘SAS Model Manager’, DataRobot, Databricks, Dataiku, Domino Data Lab등에 성능 우위 입증 다양한 비즈니스 영역에서 머신러닝의 적용이 점차 활기를 띄며 증가하고 있는 가운데, 많은 IT 리더들은 인공지능과 머신러닝 기술을 선택하고 구현하기 위한 필수 기술로 ‘모델 옵스(이하 ModelOps)’를 지목하고 있습니다. AI타임즈에 따르면,

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Korean
Advanced Analytics | Analytics | Artificial Intelligence | Cloud | Learn SAS | Machine Learning | SAS Events
Charlie Chase 0
Solving 3 emerging challenges for retail and consumer goods supply chains

The landscape of supply chains has changed rapidly due to unforeseen disruptions.  These changes include supply chain bottlenecks, inflation and geopolitical activities across retail and consumer goods industries. Retail supply chains are under immense pressure to keep up with these rapid changes. Innovators have been quick to take advantage of

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English
AgTech | Manufacturing | Retail
Analytics | Artificial Intelligence | Machine Learning
Hui Li 0
Machine learning: ¿Qué algoritmo utilizar?

Este recurso está diseñado principalmente para científicos de datos, analistas principiantes o intermedios que están interesados en identificar y aplicar algoritmos de machine learning para abordar los problemas de su interés. Una pregunta típica de un principiante, cuando se enfrenta a una gran variedad de algoritmos de machine learning, es:

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Spanish
Education
Advanced Analytics | Machine Learning
Kevin Scott 0
SAS® Fast-KPCA: An efficient and innovative nonlinear principal components method

SAS® Fast-KPCA implementation bypasses the limitations of exact KPCA methods. SAS® internally uses k-means to find a representative sample of a subset of points. This row reduction method has the advantage that c centroids are chosen to minimize the variation of points nearest to each centroid and maximize the variation to the other cluster centroids. In some cases, the downstream effect of using k-means on computing the SVD increases numerical stability and improves clustering, discrimination, and classification.

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English
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