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Machine Learning Governance for Managers (1st ed. 2023)
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Machine Learning Governance for Managers (1st ed. 2023)
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Machine Learning Governance for Managers provides readers with the
knowledge to unlock insights from data and leverage AI solutions.
In today's business landscape, most organizations face challenges
in scaling and maintaining a sustainable machine learning model
lifecycle. This book offers a comprehensive framework that covers
business requirements, data generation and acquisition, modeling,
model deployment, performance measurement, and
management, providing a range of methodologies, technologies, and
resources to assist data science managers in adopting data and
AI-driven practices. Particular emphasis is given
to ramping up a solution quickly, detailing skills and
techniques to ensure the right things are measured and acted upon
for reliable results and high performance. Readers will learn
sustainable tools for implementing machine learning with existing
IT and privacy policies, including versioning all models, creating
documentation, monitoring models and their results, and assessing
their causal business impact. By overcoming these challenges,
bottom-line gains from AI investments can be realized.
Organizations that implement all aspects of AI/ML model governance
can achieve a high level of control and visibility over how models
perform in production, leading to improved operational efficiency
and a higher ROI on AI investments. Machine Learning Governance for
Managers helps to effectively control model inputs and understand
all the variables that may impact your results. Don't let
challenges in machine learning hinder your organization's growth -
unlock its potential with this essential guide.
General
Imprint: |
Springer International Publishing AG
|
Country of origin: |
Switzerland |
Release date: |
December 2023 |
First published: |
2023 |
Authors: |
Francesca Lazzeri
• Alexei Robsky
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Dimensions: |
235 x 155mm (L x W) |
Edition: |
1st ed. 2023 |
ISBN-13: |
978-3-03-131804-7 |
Categories: |
Books
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LSN: |
3-03-131804-8 |
Barcode: |
9783031318047 |
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