Sustaining and Evolving Data and AI Operations: Control Framework and Oversight
About Course
Data and AI governance frameworks often look structured at launch. Roles are assigned, processes are described, policies are approved, and controls exist. Yet once daily operations begin, the framework can slowly lose clarity. Controls drift across teams, evidence becomes inconsistent, and visibility into control effectiveness weakens.
Sustaining and Evolving Data and AI Operations helps professionals understand how a control framework keeps operations reliable after implementation. The course explains how controls connect to risks, capabilities, ownership, evidence, and improvement, so organizations can sustain assurance and adapt as regulations, systems, risks, and priorities change.
Course Content
Introducing Control Logic
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Defining Controls and Control Types
18:41 -
Conceptual understanding
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Analytical thinking
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Defining the Data and AI Control Framework
09:43 -
Conceptual Understanding
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Analytical Thinking
Establishing the Data and AI Control Framework Capability
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