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You're reading from  The Machine Learning Solutions Architect Handbook - Second Edition

Product typeBook
Published inApr 2024
PublisherPackt
ISBN-139781805122500
Edition2nd Edition
Concepts
Machine Learning
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Author (1)
David Ping
David Ping
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David Ping

David Ping is an accomplished author and industry expert with over 28 years of experience in the field of data science and technology. He currently serves as the leader of a team of highly skilled data scientists and AI/ML solutions architects at AWS. In this role, he assists organizations worldwide in designing and implementing impactful AI/ML solutions to drive business success. David's extensive expertise spans a range of technical domains, including data science, ML solution and platform design, data management, AI risk, and AI governance. Prior to joining AWS, David held positions in renowned organizations such as JPMorgan, Credit Suisse, and Intel Corporation, where he contributed to the advancements of science and technology through engineering and leadership roles. With his wealth of experience and diverse skill set, David brings a unique perspective and invaluable insights to the field of AI/ML.
Read more about David Ping

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As an ML solutions architecture practitioner, I often receive requests for guidance on designing data management platforms for ML workloads. Although data management platform architecture is typically treated as a separate technical discipline, it plays a crucial role in ML workloads. To create a comprehensive ML platform, ML solutions architects must understand the essential data architecture considerations for machine learning and be familiar with the technical design of a data management platform that caters to the needs of data scientists and automated ML pipelines. In this chapter, we will explore the intersection of data management and ML, discussing key considerations for designing a data management platform specifically tailored for ML. We will delve into the core architecture components of such a platform and examine relevant AWS technologies and services that can be used to build it.

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The Machine Learning Solutions Architect Handbook - Second Edition
Published in: Apr 2024Publisher: PacktISBN-13: 9781805122500
© 2024 Packt Publishing Limited All Rights Reserved

Author (1)

author image
David Ping

David Ping is an accomplished author and industry expert with over 28 years of experience in the field of data science and technology. He currently serves as the leader of a team of highly skilled data scientists and AI/ML solutions architects at AWS. In this role, he assists organizations worldwide in designing and implementing impactful AI/ML solutions to drive business success. David's extensive expertise spans a range of technical domains, including data science, ML solution and platform design, data management, AI risk, and AI governance. Prior to joining AWS, David held positions in renowned organizations such as JPMorgan, Credit Suisse, and Intel Corporation, where he contributed to the advancements of science and technology through engineering and leadership roles. With his wealth of experience and diverse skill set, David brings a unique perspective and invaluable insights to the field of AI/ML.
Read more about David Ping

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