Building enterprise data products

Building enterprise data products

"Much of the hardest work of creating effective data products in the enterprise is not in the complexity of the algorithms applied but in effective design and integration into downstream systems. Hilary Mason (Cloudera) shares a process for repeatedly creating effective AI products, from idea t...

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Detalles Bibliográficos
Autor Corporativo: O'Reilly Artificial Intelligence Conference (-)
Otros Autores: Mason, Hilary, on-screen presenter (onscreen presenter)
Formato: Vídeo online
Idioma:Inglés
Publicado: [Place of publication not identified] : O'Reilly 2019.
Materias:
Application software > Development.
Machine learning.
Artificial intelligence.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009822777706719
Descripción
Sumario:"Much of the hardest work of creating effective data products in the enterprise is not in the complexity of the algorithms applied but in effective design and integration into downstream systems. Hilary Mason (Cloudera) shares a process for repeatedly creating effective AI products, from idea through process to specific design considerations, and explains how architecture and algorithmic choices can support or hinder this process."--Resource description page.
Notas:Title from title screen (viewed November 14, 2019).
Descripción Física:1 online resource (1 streaming video file (43 min., 56 sec.)) : digital, sound, color

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