Challenges
Data in the sector
Energy transition, asset optimisation and an explosion of IoT data: the sector combines innovation with very heavy industrial requirements.
- Predictive maintenance and reliability of industrial assets
- Energy performance and production optimisation
- Data platform at scale for multi-country organisations
- Computer vision and AI for site safety
By business function
Data and AI use cases
Operations and maintenance
Predictive maintenance of industrial assets, IoT, field apps for operators, computer vision for site safety.
Production and trading
Production and consumption forecasting, energy optimisation, real-time asset management.
Customers and offers
Consumption tracking apps, personalised offers, consumer digital journeys.
Innovation
Ideation programmes, MVPs and scale-up, smart building and space management.
IT and data office
Multi-country data platforms (Databricks, Azure), governance, data stewardship, AI change management.
References
Visian in the sector
62 assignments in energy and utilities.
- ENGIE: 96 assignments across 20 entities since 2020, including MaConso and the global service centre
- EDF: smart building and MVPs for the LumiLab
- TotalEnergies: IT & Data innovation programme, IoT and data science
- Enedis: MOSAR production tracking project
- Suez: ERP, software packages and business analysis
Detailed client cases
- Engie · Energy, Predictive maintenance
- Storengy · Energy, Gas storage
- EDF · Energy, Data science
- TotalEnergies · Energy, Innovation