The Machine Learning Solutions Architect Handbook - Second Edition

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Navigating the ML Lifecycle with ML Solutions Architecture

The field of artificial intelligence (AI) and machine learning (ML) has had a long history. Over the last 70+ years, ML has evolved from checker game-playing computer programs in the 1950s to advanced AI capable of beating the human world champion in the game of Go. More recently, Generative AI (GenAI) technology such as ChatGPT has been taking the industry by storm, generating huge interest among company executives and consumers alike, promising new ways to transform businesses such as drug discovery, new media content, financial report analysis, and consumer product design. Along the way, the technology infrastructure for ML has also evolved from a single machine/server for small ...