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A Tour of AI technologies in time series prediction

Recurso electrónico / Electronic resource
MARC record
Tag12Value
LDR  00000cam a22000004b 4500
001  MAP20200020073
003  MAP
005  20230321113244.0
008  200327s2019 usa|||| ||| ||eng d
040  ‎$a‎MAP‎$b‎spa‎$d‎MAP
084  ‎$a‎922.134
1001 ‎$0‎MAPA20200014041‎$a‎Zhang, Victoria
24512‎$a‎A Tour of AI technologies in time series prediction‎$c‎Victoria Zhang
260  ‎$a‎Schaumburg (Illinois)‎$b‎Society of Actuaries ‎$c‎2019
300  ‎$a‎38 p.
4900 ‎$a‎Innovation and Technology
520  ‎$a‎Over 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.
650 4‎$0‎MAPA20080611200‎$a‎Inteligencia artificial
650 4‎$0‎MAPA20080586546‎$a‎Nuevas tecnologías
650 4‎$0‎MAPA20130003108‎$a‎Innovación disruptiva
650 4‎$0‎MAPA20080568009‎$a‎Automatización
650 4‎$0‎MAPA20080605674‎$a‎Desarrollo tecnológico
7102 ‎$0‎MAPA20080444044‎$a‎Society of Actuaries (United States)