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课程时长 7 小时
课程大纲
Discovery Before Build
- Why most AI deployments fail at scoping
- Discovery as an engineering activity
- Time-boxing and exit criteria for discovery
Reading the Workflow
- Observing work where it actually happens
- Process maps, handoffs and exception paths
- Interviewing users, managers and control functions
Qualifying Use Cases
- Feasibility, value and readiness filters
- Scoring a portfolio rather than a single idea
- Rejecting use cases with evidence
Value Architecture and the Business Case
- Baselines, benefits and cost to serve
- Metrics that finance and audit will accept
- Risk, compliance and dependency register
Commitments, Gates and Handover
- Scope statements, assumptions and exclusions
- Stage gates and kill criteria
- Handover brief for the build team
要求
- 拥有面向客户的技术或交付角色经验
- 熟悉至少一个行业的业务流程
- 具备用于建模和撰写的基本电子表格和文档技能
受众
- 前置部署工程师和解决方案顾问
- 售前和解决方案架构师
- AI项目中的产品负责人和交付负责人
- 评估AI组合的转型负责人
