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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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Fishman, Neal
Other Authors: Stryker, Cole
Format: Electronic eBook
Language:Inglés
Published: Indianapolis : Wiley, 2020.
Subjects:
Management information systems.
Database management.
Business > Databases > Management.
Information storage and retrieval systems > Reliability.
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
databases.
Databases.
Bases de données.
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