Choosing AI to deploy
AIGP · Lesson 13 of 15 · 1:52:02
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In this lesson
Prepare for the IAPP AIGP exam, on the AIGP Body of Knowledge version 2.1. In this lesson: what a deployer weighs before choosing AI: the context (business objectives, performance requirements, data availability, ethics, and workforce readiness), types of models (classic or generative, proprietary or open weight, small or large, language or multimodal), where they run (cloud, on premises, edge), and how they are used (as is, fine-tuned, with retrieval augmented generation, or in agentic systems). Includes three original practice questions, with Elmstead Group, a fictional retail and finance group, as the example.
Preview the topics
- Elmstead’s call center plans to roll out an AI assistant next month. The model works well in tests, but most agents have never used AI tools, and fear for their jobs. Which part of the context needs attention first?
- Elmstead wants to check card payments for fraud inside the payment terminals of its shops, within milliseconds, even when the network is down. Where should the model run?
- Elmstead’s assistant must answer from the company’s procedures, which change every week, and show which document each answer comes from. Which approach fits best?