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Analytics
Ernesto Cantu 0
Una ruta hacia la innovación para la industria de manufactura en el contexto de una nueva realidad

Como una constante en la industria de manufactura, la innovación ha sido esencial para el desarrollo de productos, la experimentación con prototipos, la materialización de ideas disruptivas, así como la modificación de procesos y la colaboración con un extenso ecosistema. Tradicionalmente, la innovación avanza en dos vertientes. Por un lado,

Analytics | Artificial Intelligence | Innovation | Machine Learning | Risk Management
Joe Nyangon 0
Managing stranded asset risks in the energy sector with analytics

As the world moves toward a low-carbon future, the power and utilities industry faces significant financial and reputational risks due to the potential stranding of resources and assets. This transition to carbon-free energy sources could render carbon-intensive assets – such as coal- and gas-fired power plants, coal mines and hydrocarbon

Analytics
Cheryl Cass 0
How UNC Wilmington data science students are using SAS to drive business results for Lightcast

Students in the master's program in data science at the University of North Carolina Wilmington (UNCW) drove real-world results using SAS® Viya® for the labor market analytics company Lightcast. The project gave students practical analytical tools to solve a business challenge – invaluable career preparation. At the same time, Lightcast gained business insights

Advanced Analytics | Analytics | Work & Life at SAS
Luis Barrientos 0
ESG, la base para las finanzas sostenibles y el cumplimiento de metas climáticas en el sector bancario

Si bien los datos financieros se han utilizado tradicionalmente para evaluar y comparar el desempeño de las empresas, recientemente se ha sumado un nuevo criterio que va ganando relevancia: la información sobre iniciativas ambientales, sociales y de gobierno (ESG, por sus siglas en inglés), que se está utilizando para evaluar

Analytics
Rick Wicklin 0
What is the metalog distribution?

The metalog family of distributions (Keelin, Decision Analysis, 2016) is a flexible family that can model a wide range of continuous univariate data distributions when the data-generating mechanism is unknown. This article provides an overview of the metalog distributions. A subsequent article shows how to download and use a library

Analytics
Lexi Regalado 0
3 ways Blyott and SAS are revolutionizing hospital operations with real-time location tracking

For hospitals, managing inventory is an ongoing logistical challenge. The right equipment in the right spot is essential for safe and efficient hospital operations. That's why hospitals around the world turn to Blyott. Blyott is a plug-and-play machine learning and modular real-time-location-services (RTLS) provider. Their technology tracks the location of

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