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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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Summary

In this chapter, we explored the different phases of ML adoption and AI/ML capabilities. You were introduced to the assessment of ML adoption maturity through a set of questions aimed at identifying key areas for developing AI/ML maturity. We also discussed the best practices in establishing an AI/ML vision, initiating an AI/ML initiative, and scaling your AI/ML adoption across different ML use cases, ML infrastructure, and ML governance.

In the upcoming two chapters, we will delve deeper into generative AI, exploring its impact on businesses, its use cases, technological solutions, architectural considerations, and practical applications that leverage generative AI.

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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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