What's changed: Created Generative AI Leader Chapter 4 (Domain 4 "Business strategies": responsible AI and security = Google AI principles/fairness-transparency-privacy-human-centered/SAIF/data governance/human-in-the-loop; driving value = use-case selection-ROI/pilot-to-production/upskilling-change management/cost-sustainability/partners-ecosystem).
4.2Driving value with generative AI
Understand strategies to turn generative AI adoption into success and business value: identifying promising use cases and return on investment (ROI), moving from pilot to production, upskilling and change management, cost and sustainability, and leveraging partners and the ecosystem.
Adopting generative AI is not the goal in itself; it creates value only when tied to business outcomes. Leaders need a strategy for "where to apply it, how to measure it, and how to embed it in the organization."
4.2.1Identifying use cases and ROI
First choose high-value, feasible use cases (e.g., automating inquiries, document summarization, code generation). Measure impact with return on investment (ROI), using metrics like time/cost saved and gains in quality/customer satisfaction. Often you start small with a pilot, confirm value and safety, then scale to production. The standard play is "validate value with a PoC first, then expand in stages."
4.2.2People, cost, and ecosystem
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