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Data is crucial for the development of artificial intelligence (AI) applications. However, the rapid availability of data is a challenge due to increasingly strict privacy regulations. A possible solution is to use synthetic data. Gartner predicts by 2024 that 60% of the data used to develop AI and analytics applications
Hace unas semanas, anunciamos el convenio de colaboración entre el SAS Institute y la Universidad Europea con el objetivo de formar perfiles analíticos gracias a nuestras certificaciones SAS para docencia. En particular, los estudiantes del Doble Grado en Business Analytics + Administración y Dirección de Empresas, así como de los
This is the third post in a series about the Gartner Data & Analytics Summit in London. Welcome to the third and final collection of thoughts inspired by my time covering the SAS booth at the Gartner Data & Analytics Summit in London. In my previous blog, I talked about
Research, supply chain, manufacturing, and sales increasingly depend on partnerships in a digital ecosystem. Cloud-based analytics makes it possible to collaborate intelligently at scale. For years, life sciences companies have been justifiably cautious about moving their data science functions into the cloud. Although the industry’s central purpose is to accelerate
You’ve probably heard of DevOps, but do you know about DataOps? It builds on the DevOps approach to provide huge benefits in unlocking business value from data. Many people have heard of DevOps, even if they don’t know precisely what it means. It is an agile approach to software development,
"Companies across pharma and medtech need talented people to cover the range of data-related challenges." Paolo Morelli, Executive VP, Biometrics of Alira Health Paolo Morelli, Executive Vice President, Biometrics of Alira Health, tells us how he developed a relationship between the University of Bologna and industry-leading companies – and what