Smarter data science : succeeding with enterprise-grade data and AI projects /

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Organizations can make data science a repeatable, predictable tool, which business professionals use to get more value from their data Enterprise data and AI projects are often scattershot, underbaked, siloed, and not adaptable to predictable business changes. As a result, the vast majority fail. Th...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Fishman, Neal
Otros Autores: Stryker, Cole
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Indianapolis : Wiley, 2020.
Temas:
Management information systems.
Database management.
Business > Databases > Management.
Information storage and retrieval systems > Reliability.
Information storage and retrieval systems > Reliability (Engineering)
Management Information Systems
Systèmes d'information de gestion.
Bases de données > Gestion.
Affaires > Bases de données > Gestion.
Systèmes d'information > Fiabilité.
COMPUTERS > Data Science > Data Modeling & Design.
Business
Database management
Management information systems
Database
databases.
Databases
Databases.
Bases de données.
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