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,
Dake IT uses augmented intelligence to build models for disease identification to help radiologists analyze scanned images. Medical imaging, such as x-rays and ultrasounds, is widely used across the medical community. From dentists and surgeons to oncologists, physicians everywhere rely on imaging to aid in diagnosing diseases, monitoring the spreading
¿Qué desafíos y avances traerá este 2023? Nadie lo sabe con certeza. El mundo ha experimentado disrupciones y cambios radicales en los últimos años y este 2023 no será la excepción. Por ello es vital que las organizaciones entiendan cómo la tecnología traerá beneficios al crecimiento de su marca. Existen
NeurIPS 2022 allowed researchers and practitioners to share progress and brainstorm new ideas for advancing machine learning and its related fields.
SAS' Marinela Profi and Sophia Rowland elaborate on IDC including SAS among the leading platform providers for Machine Learning Operations.
Anuja Nagpal and Yonglin Zhu of SAS R&D reveal how, MLPA – without any code and within a given timeframe – finds an effective pipeline for a data set after applying data preprocessing, feature engineering and modeling with hyperparameter tuning.
SAS' Bahar Biller expounds on the idea that stochastic simulations are large-data generation programs for highly complex and dynamic stochastic systems.
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.
El Buen Fin 2022, el evento comercial más esperado por millones de consumidores mexicanos tendrá lugar del 18 al 21 de noviembre. A lo largo de una semana, estarán a su disposición productos y servicios, promociones especiales y esquemas de pago de meses sin intereses. La derrama económica esperada de
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.
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.
O avanço e aceleração digital são uma realidade em todos os setores após o surgimento da pandemia, e empresas de varejo e bens de consumo não são exceção. Nas linhas a seguir, trago algumas reflexões sobre esta dinâmica neste segmento e o papel de advanced analytics na transformação de empresas
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
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 question to ask is no longer, “Do you want to be a data scientist?” But rather, “What kind of data scientist do you want to be?”
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.
Customer acquisition and retention primarily fall on sales and marketing teams. But every department within an insurance company has a role to play in these activities. Claims handling is a great example. Any insurer's performance at this emotionally charged time is their litmus test. It can determine whether customers renew
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
Anyone in the insurance industry knows that fraudsters are becoming more sophisticated and their crimes more difficult to identify. Insurance fraud in the UK costs an estimated £3 billion per year – but only around a third of that is detected. Whilst opportunistic fraud poses a problem to the industry and
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
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
La tecnología o la experiencia de cliente son algunos de los factores que más peso están adquiriendo en la evolución que vive el sector Seguros. Así, en los últimos años estamos observando un interés cada vez mayor en la ciencia de datos y aplicaciones de machine learning de las compañías
If you are an Enterprise Miner user, do not miss the opportunity to try out Model Studio in SAS Viya. I am sure you will love it!
