The landscape of AI infrastructure
Practical AI
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Navigating AI Infrastructure Challenges
This chapter explores the intricate landscape of data management in AI, emphasizing challenges like data ownership and legal compliance, particularly under GDPR. It discusses the choice between cloud and on-premise solutions, detailing the necessary infrastructure for effective AI workflows including the use of Docker and scaling strategies for model deployment. Additionally, it highlights key resources and platforms for AI practitioners, while addressing the transition from model development to real-world application.
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