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Payment Fraud는 금융기관의 지속적인 도전 과제입니다. 디지털 결제방식이 다양화되고 실시간 결제 금액이 증가함에 따라 실시간 사기 탐지 및 예방이 필수적인 시대가 되었습니다. 동시에 고객은 마찰 없는 고객 경험을 요구하기 때문에 사기 탐지 시스템은 사기 탐지 성능과 고객 불편 간의 균형이 잘 유지되도록 충분히 정교하게 운영되어야 합니다. 규칙기반(Rule Base) 탐지가 좋은
Tal y como comentamos durante el evento realizado con Expansión y McKinsey en nuestras oficinas, en el contexto de incertidumbre actual, las aseguradoras han tenido que subirse al tren de la digitalización para seguir creciendo. La crisis del COVID como acelerador de la digitalización en el sector seguros En un
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
Hace un par de semanas participé en un torneo de fútbol 7 con mis compañeros de SAS. Mientras calentábamos, uno de los más jóvenes se puso las manos en las rodillas, las flexionó, las estiró un par de veces y dijo: "Vamos a hacer un calentamiento noventero". Se partió de
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:
The advantage of using SAS PROC KPCA is that you can preprocess your data so that you can classify groups with nonlinear classification boundaries.
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.
Mesmo com a tecnologia disponível atualmente, é muito difícil prever quando, onde e como podem ocorrer danos causados pelo clima. Custos com inundações devem crescer exponencialmente nos próximos 20 anos e a crise climática é uma ameaça constante. Infelizmente, desastres naturais nunca deixarão de existir, mas podemos fazer nosso melhor
I will show you how to deploy multi-stage deep learning (DL) models in SAS Event Stream Processing (ESP) and leverage ESP on Edge via Docker containers to identify events of interest.
Fraud detection is becoming increasingly more complex. Customers are demanding a frictionless consumer experience. Luckily, SAS' advanced machine learning models can better prevent fraud and protect customers by analyzing behaviors and detecting suspicious patterns in real-time.
In the competitive and highly regulated insurance industry, it’s easy to see why firms are hungry to unlock the value of their data. From tackling claims inflation and fraud to developing innovative new products and pricing strategies, they know that being able to make sense of this data quickly is
Using SAS Viya in combination with open-source capabilities, we were able to develop an automated solution for logo detection that does not require any manual data labeling.
Quando a pandemia do COVID-19 atingiu a Indonésia, bloqueios e restrições de atividade fecharam grande parte do comércio, ameaçando o sustento de milhões de pessoas. Isso porque o país possui mais de 64 milhões de micro, pequenas e médias empresas (MPMEs), responsáveis por empregar 97% da força de trabalho do
Estudos indicam que, ao longo dos últimos anos, aumentaram os casos de propagação de discursos de ódio e de notícias falsas. Especialmente no ano de 2022 há uma preocupação muito grande quanto à utilização desses recursos ilegítimos para finalidades eleitorais. Técnicas analíticas podem ser empregadas para estimular campanhas eleitorais que
The IEEE Visual Analytics Science and Technology (VAST) Challenge provides a great opportunity to validate our software against real-world scenarios using complex data sets. Not only do we learn from these projects, but we also send feedback to our development teams to further improve product capabilities for customers.
Let's create a Multi-stage Computer Vision model to detect objects on high-resolution imagery taken from an aerial view. The goal is to locate a dog and determine if he is wearing a scarf or not and what color the scarf is.
It’s hard to get through a day in analytics now without hearing the words interpretability and explainability. These terms have become important in a world where machine learning and artificial intelligence (AI) models are becoming more ubiquitous. However, what do the two terms mean—and more importantly, why do they matter?
Para los defraudadores y blanqueadores de fondos, el lavado de dinero es una mina de oro altamente redituable. Se calcula que entre el 2% y el 5% del producto interno bruto (PIB) global es lavado, lo que representa casi $3,000 millones de dólares (mdd) de fondos ilícitos que se fluyen
This year we had the pleasure to attend the 42nd International Symposium on Forecasting in Oxford, UK. SAS participants traveled from across the globe. They presented their research, discussed their ideas, and learnt from some of the most reputable names in the forecasting space. The presentations were captivating and the
Often the biggest challenge when implementing a successful forecasting process has nothing to do with the analytics. Forecast adoption – incorporating forecasts into decision-making – is just as high a hurdle to overcome as the models themselves. Forecasting is more than analytical models Developing a forecasting process typically begins with
Las organizaciones están bastante conscientes de que las cosas pueden cambiar radicalmente en cuestión de semanas. La experiencia de los dos últimos años les ha hecho reconocer la necesidad de tener la capacidad de tomar decisiones inteligentes a partir de datos confiables que puedan llevar a resultados positivos. En este
Robert Handfield, PhD, is a distinguished professor of Supply Chain Management at North Carolina State University and Director of the Supply Chain Resource Cooperative. In an episode of the Health Pulse Podcast, Handfield gave his views regarding the challenges health care and life science companies have encountered over the past two years
Wouldn’t it be cool if we establish a mechanism that provides more data scientists easy access to SAS Reinforcement Learning capabilities, from a centralized location and using a standardized approach?
Becoming a parent is one of the most exciting things in life. Unfortunately, sometimes pregnancy complications occur, remaining a serious challenge, that is not often talked about. Ahead are interviews with leading researchers in Dublin aimed to understand the impact of data and analytics on maternal health. According to the
Los habitantes del planeta están cada vez más conectados. Se estima que actualmente el número de usuarios de teléfonos inteligentes a escala global supera la marca de los 3,000 millones, y que esta cantidad siga creciendo paulatinamente en los próximos años. Tal cantidad de usuarios demanda cada vez más de
There’s plenty of buzz about innovation and thinking outside of the box at SAS these days. But for those who attended SAS' Patent Dinner, the proof was in the patent. SAS Legal Counsel Director Tim Wilson offered opening remarks at The Umstead event. “So much of what we do in
As promised in this latest blog about the Gartner Data & Analytics Summit in London, here’s an update from the second day at the SAS booth. To make a long story short, each day the SAS booth team posed a question to attendees visiting the booth. They could submit three
Toc, toc, toc. En algún lugar de Berlín a comienzos del siglo XX, tras esos pequeños tres golpes, se podía observar inconfundibles caras de asombro entre los periodistas y curiosos. En cambio, Wilhelm Von Osten reflejaba en su rostro algo más: felicidad, realización y por qué no, el disfrute de
Just getting started with this series? Make sure to explore the earlier posts Part 1, Part 2 and Part 3. Up until now, you have seen how ModelOps can solve your biggest machine learning challenges and that SAS and Microsoft, together, can help you deploy, govern and monitor your models
We hear a lot about responsible AI or AI ethics in the marketplace today. At SAS, we believe there should be a larger conversation about responsible innovation. In reality, the decisions made by AI are the outcome of algorithms, data and business processes. This means ethical considerations must be applied
