AI Thinking Workshop
Build yout organization’s AI mindset, knowledge foundation, and application framework
Let AI become an integral part of frontline operations, not an isolated technical experiment.
Step 1
Build AI Knowledge within Your Enterprise
Activate a case repository and cross-domain know-how modeling to continuously capture processes and expert experience, building a reusable enterprise case library that enhances the effectiveness of AI deployment.
Step 2
Issue-driven Technical Implementation
Use AutoML to complete model training and evaluation, and leverage AI Studio to rapidly package deployable solutions, enabling fast validation and standardized rollout from problem ideation to solution application.
Step 3
Results Presentation and Value Validation
Showcase of implementation outcomes through model metrics, contextualized demos, and user feedback, making technical value clear and enabling effective adoption across the organization.
Step 4
Organization-Level Domain Twin Blueprint and Alignment
Leverage the Domain Twin Blueprint × digital transformation framework to convert technical outcomes into an organization-wide, long-term transformation model, establishing replicable knowledge assets, strengthening data and system architecture, and defining an enterprise-wide rollout roadmap.
