A Tour of AI technologies in time series prediction

Recurso electrónico / Electronic resource
Colección: Documentos electrónicos
Título: A Tour of AI technologies in time series prediction / Victoria ZhangAutor: Zhang, Victoria
Publicación: Schaumburg (Illinois) : Society of Actuaries , 2019Descripción física: 38 p.Serie: (Innovation and Technology)Notas: Sumario: Over the past few years, Artificial Intelligence (AI) technologies such as Machine Learning (ML) and Deep Neural Networks (DNN) or Deep Learning (DL) have become a very hot topic in many areas. The emerging field of DNNs was created around the concept of biological neural networks and has been widely applied in many fields. AI technologies have been used for computer vision, speech recognition, autonomous driving, etc. and have demonstrated remarkable results. McKinsey predicts that AI techniques have the potential to create between $3.5T and $5.8T in value annually across nine business functions in 19 industries. However, even with the buzzwords around for a few years, AI is still very new to the actuarial field.Materia / lugar / evento: Inteligencia artificial Nuevas tecnologías Innovación disruptiva Automatización Desarrollo tecnológico Otros autores: Society of Actuaries (United States)
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