From use case to ROI: AI projects that reach production
How to design, measure and roll out an AI project, without a pilot that ends up in a drawer.
- Audience:Business
- Duration:16 hours · 2 days
- Format:On-site or online
- Language:Italian or English
What you'll learn
- Write an AI business case with testable assumptions
- Define project and business KPIs before starting
- Check whether the data you have is enough, and what is missing
- Design a pilot with clear success and stop criteria
- Handle the move from pilot to production and the change in the team
Course content
4 modules · 16 hours in total
1. The business case4 hours
- Problem, baseline and expected benefit
- One-off and recurring costs
- Exercise on a case from your company
2. Data and feasibility4 hours
- Data readiness: quality, access, ownership
- When you need labelled data and how much
- Privacy and personal data in the project
3. Measuring4 hours
- Model, process and business KPIs
- Evaluation before release and monitoring after
- How to read the result of a pilot
4. From pilot to production4 hours
- Integration with existing systems
- Roles, training and adoption
- Release and maintenance plan
Requirements
- Experience managing projects or a team
- Ideally you have taken "AI strategy for managers" or already have a use case in mind
Description
Many AI projects stop after a convincing demo. Almost always, the reason is that nobody decided upfront how to measure success, with which data, and who would actually use it.
Over two days we take one or more of your company's use cases all the way to a complete project plan: business case, data check, KPIs, pilot and move to production. It is the same method we use with our clients.
Who this course is for
- Project and product managers
- IT, operations and innovation leads
- Teams about to start their first AI project
Request information
The course is not sold online: we run it for your team. Write to us and we will send you the programme and a proposal.
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