Stage 1 — Initial innovation concept (University of Skövde)
Explored how AI and existing operational data from building systems could transform complex SCADA/BMS information into understandable insights and decision support for facility managers and operators.
Building systems contain large amounts of alarms, trends, operational data and technical knowledge, but extracting useful insight can require significant specialist expertise.
- Understandable operational data
- Facility-manager decision support
- Operator support and troubleshooting
- Reduced information fragmentation
- Use of existing platform data
- AI-enabled explanation
- Operational value
Stage 2 — Product development case (Blekinge Institute of Technology)
Talking SCADA was used as a recurring academic product case to apply New Product Development, Product Discovery, digital product strategy and Requirements Engineering to an AI-enabled decision-support concept for building automation and SCADA/BMS environments.
- Opportunity identification
- Product discovery
- Product vision
- Value proposition
- Customer needs
- Requirements management
- Feature prioritisation
- MVP definition
- Product-development governance
- Portfolio considerations
- Business-model development
- Go-to-market planning
Product perspective
Connected customer needs and operational reality with technical feasibility, product strategy, requirements and sustainable business value.
Concept to market
- Innovation Opportunity
- Product Concept
- Discovery
- Requirements
- MVP
- Product Strategy
- Business Model
- Go-to-Market
Reflection