Grasp how to deliver fully deployed and scalable, trusted and responsible AI and avoid expensive failed solutions and limited proof-of-concepts with this practical guide covering the lifecyle process of AI product development.
Grasp how to deliver fully deployed and scalable, trusted and responsible AI and avoid expensive failed solutions and limited proof-of-concepts with this practical guide covering the lifecyle process of AI product development.
Chapter 01: Introduction What is AI product development; Chapter 02: Overview of ethical and responsible AI requirements; Chapter 03: How to assess the problem; Chapter 04: Risk management and mitigation; Chapter 05: Data management; Chapter 06: Team structure and processes; Chapter 07: Development for deployment; Chapter 08: Monitoring; Chapter 09: AI governance and compliance; Chapter 10: Maintaining for the future
Chapter 01: Introduction What is AI product development; Chapter 02: Overview of ethical and responsible AI requirements; Chapter 03: How to assess the problem; Chapter 04: Risk management and mitigation; Chapter 05: Data management; Chapter 06: Team structure and processes; Chapter 07: Development for deployment; Chapter 08: Monitoring; Chapter 09: AI governance and compliance; Chapter 10: Maintaining for the future
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