Domain 4 of 4
Business Strategies for a Successful Gen AI Solution Choosing a solution for a business need and measuring whether it worked, the Secure AI Framework and the tools around it, and responsible AI as something a business is accountable for rather than a principle it states.
Concepts in this domain
01 Adopting generative AI in a business Matching a solution type to a business need, the constraints that decide it, the steps to get it into an organisation, and how to measure whether it worked. 02 Secure AI and the Secure AI Framework Security across the machine learning lifecycle, what SAIF is for, and the Google Cloud tools the exam expects you to name. 03 Responsible AI in practice Bias, fairness, robustness, safety and veracity treated as things you can measure and act on, plus the legal exposure that arrives with generative output. 04 Transparency and explainability Why an accurate model you cannot explain is sometimes the wrong choice, the difference between the two words, and what a model card is for. Try a question from this domain
A leadership team wants to begin with generative AI and is debating which model to adopt. What should come first?
A Naming the business outcome to be moved and the constraints around it. B Selecting a model, since every later decision depends on it. C Choosing between building and buying. D Agreeing a budget for infrastructure. 9 questions on this domain.
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