AI workshop: From idea to implementation - AI in the context of product data
How well prepared is your product data landscape for AI - and where can processes be automated?
Whether automated text creation, image recognition, intelligent data maintenance or a use case roadmap: In our AI workshop, we work with you to identify realistic application scenarios along the content value chain - and show how AI can bring measurable benefits to your company.
When is the AI workshop useful?
Our workshop is just right if...
...you want to automate content processes and scale them with the help of AI
...you need a clear, practical roadmap for AI in the context of product data
...you have identified data quality issues as an obstacle to automation
...you want to evaluate your existing system landscape for AI capability
The modular process guides you step by step to a successful AI project
Preparation:
Target definition & comparison of expectations
Analysis of existing systems and data
Kick-off with stakeholders for workshop orientation
Workshop 1: Strategy, analysis & use case design
Introduction to AI basics & relevant fields of application
Pain point analysis of processes, data quality and system landscape
Selection & development of a pilot use case incl. requirements definition
Workshop 2: Implementation & Roadmap
Presentation of a prototype / proof of concept
Development of an AI roadmap including quick wins and long-term potentials
Discussion of organizational requirements & best practices
Wrap-up and planning of next steps
Summary of the results
Presentation of concrete implementation steps and organizational requirements
Impulses & learnings from comparable projects or industries
Handover of the final documents
Your key takeaways
Roadmap with prioritized pilot use case (ppt)
Overview of relevant use cases incl. cost/impact assessment (PDF / Miro)
Target image for future processes, data & systems (PDF / Miro)
Initial feasibility analysis and PoC for a selected use case
