First, give conclusions that can be used for decision-making
The scope of AI data governance must be determined by operational tasks. Using contractual questions and answers, for example, governance contract documents, client projects, templates systems, versions, authority and validity periods are required; for the sale of Copilot, for example, customer, contact person, business, product, price policy and historical communication is required. Both scenarios are called “enterprise AI”, relying on data objects and error risks.
What conditions need to be identified before judgement is made?
The same question may have different answers under different business, data and project phases. It is suggested that the following conditions be checked and that the common findings on the web be incorporated into their own projects.
Suggested order of advance
First, we'll be clear about the target and the border.
Select an AI task that is of high value and can be manually plowed.
Validation Key Dependence
Mapping tasks, data, knowledge, systems, authority and accountability relationships.
Development of assessable outcomes
Establish small-scale treatment of current lines and fixed assessment collections.
Make sure you decide the next step with the real results.
Extensions are determined by the quality of the tasks and operational evidence.
How do you understand it in the actual business?
The team does not import all the shared disks first, but rather selects the high frequency failure of the last three months, checking the product model, manual version, service announcement and worksheet results, designating the product and the person responsible for the sale, and testing the true questions for quotations, no answers and excesses. More product lines are expanded after the first phase is passed.
The easiest pit to step on.
Replace operational mandate with the number of documents and tables
No source, version and responsible person after data import
Only check empty duplicates, do not verify AI tasks and permissions
How should we end up receiving and confirming?
The first issue is the scope of the mandate, the list of data knowledge, the primary accountability system, the rules of authority, quality questions, assessment and updating mechanisms.
When preparing to communicate with suppliers or internal teams, it is recommended that current processes, representative samples, existing systems, planning time and budget levels be brought. First, the unknown items are clearly marked, and then the decision is made to use diagnostics, PoC, fixed-range projects or ongoing research and development, which is usually more reliable than a direct demand for a price and duration without borders.