How are large global companies implementing gen AI solutions as part of their larger AI strategy? As an example, there are three primary approaches, as per McKinsey: In “Taker” use cases, companies use off-the-shelf, gen AI–powered software from third-party vendors such as GitHub Copilot or Salesforce Einstein to achieve the goals of the use case. In “Shaper” use cases, companies integrate bespoke gen AI capabilities by engineering prompts, data sets, and connections to internal systems to achieve the goals of the use case. In “Maker” use cases, companies create their own LLMs by building large data sets to pre-train models from scratch. Examples include OpenAI, Anthropic, Cohere, and Mistral AI.