DevOps for models : how to manage millions of models in production, and at the edge /

"As Accenture scaled to millions of predictive models, it required automation to ensure accuracy, prevent false alarms, and preserve trust. Teresa Tung, Ishmeet Grewal, and Jurgen Weichenberger explain how Accenture implemented a DevOps process for analytical models that's akin to software...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: Strata Conference
Formato: Electrónico Congresos, conferencias Video
Idioma:Inglés
Publicado: [Place of publication not identified] : O'Reilly, 2017.
Temas:
Accenture (Firm)
Information technology > Management.
Computer simulation.
Electronic data processing.
Data structures (Computer science)
Computer Simulation
Technologie de l'information > Gestion.
Simulation par ordinateur.
Structures de données (Informatique)
simulation.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario:"As Accenture scaled to millions of predictive models, it required automation to ensure accuracy, prevent false alarms, and preserve trust. Teresa Tung, Ishmeet Grewal, and Jurgen Weichenberger explain how Accenture implemented a DevOps process for analytical models that's akin to software development--guaranteeing analytics modeling at scale and even in noncloud environments at the edge."--Resource description page
Notas:Title from title screen (viewed May 11, 2018).
An excerpt from the 2017 O'Reilly Strata Conference in Singapore.
Descripción Física:1 online resource (1 streaming video file (36 min., 1 sec.))

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