Approach
Advanced tools in Data Science, AI/ML, Data Engineering, Data Management and MLOps enable a three-step strategy:
1. Solve the most time-sensitive problems for the least resource input
2. Developing data and software architectures for tackling strategic goals
3. Feedback and optimisation, resulting in a truly data-driven enterprise
DElivery model
Value Stream Assessment (VSA)
- Workshops
- Scoping
1 day
Exploratory Data Analysis (EDA)
- Workshops
- Scoping
1 day
Proof of Concept (PoC)
- ML model trained on a data ‘snapshot’
~4 Weeks
Minimum Viable Product (MVP)
- Choice of Minimum Viable Product
- ML model trained on ‘production-grade’ data
~8 Weeks
Production
- MLOps
- Data Engineering
- Cloud Architecture
- UI
- Handover
- Monitoring
- Maintenance
- Check-in
~3+ Months