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Analytics | Innovation
Jessica Curtis 0
5 key questions to guide your connected factory strategy

Consumer goods manufacturers have faced significant challenges over the past few years due to rapidly changing demand and supply disruptions in their end-to-end supply chain. As a result, manufacturers have realized the need to strengthen their resilience and have prioritized assessing their manufacturing capacity to maximize output and automation. To

Analytics | Artificial Intelligence | Equity and Responsibility | Innovation
Kristi Boyd 0
Generative AI: Benefits, risks and a framework for responsible innovation

Generative AI (GenAI) is a category of AI that can create new content, including video, audio, images and text. GenAI has the potential to change the way we approach content creation. It’s gotten much attention lately. Take ChatGPT for example. The AI chatbot has captivated the public’s imagination with clever

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

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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