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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
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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.
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ML use cases in automotive

The automotive industry has undergone significant transformation in recent years, with technology playing a key role in shaping its evolution. AI and ML have emerged as powerful tools for automakers and suppliers to improve efficiency, safety, and customer experience. From production lines to connected cars, AI and ML are being used to automate processes, optimize operations, and enable new services and features.

Autonomous vehicle

One of the most significant applications of AI and ML in the automotive industry is in autonomous driving. Automakers and tech companies are leveraging these technologies to build self-driving vehicles that can safely navigate roads and highways without human intervention. AI and ML algorithms are used to process data from sensors, cameras, and other inputs to make real-time decisions and actions, such as braking or changing lanes. The system architecture of an autonomous vehicle (AV) consists of 3 main stages: 1/ perception and...

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The Machine Learning Solutions Architect Handbook - Second Edition
Published in: Apr 2024Publisher: PacktISBN-13: 9781805122500

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