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by Stephen Onu (Author)
ADBOK(R) Guide: Artificial Intelligence Data Body of Knowledge is the definitive professional standard for AI data operations, providing a comprehensive framework for the ethical, reliable, and accountable management of the data that powers modern artificial intelligence systems.
As organizations increasingly rely on AI, the quality of training data has become a critical factor in model performance, compliance, and public trust. This guide establishes AI data operations as a disciplined profession by introducing structured lifecycle processes, governance frameworks, quality controls, risk management practices, and workforce competency standards.
Covering everything from data acquisition and annotation to quality assurance, dataset governance, compliance, AI ethics, and continuous improvement, the ADBOK(R) Guide equips AI practitioners, data professionals, engineers, auditors, executives, and regulators with the tools needed to build trustworthy, auditable, and high-performing AI systems.
Whether implementing enterprise AI initiatives, managing data operations teams, or preparing for evolving regulatory requirements, this essential reference offers a practical roadmap for transforming AI data work into a measurable, scalable, and professionally governed capability.
