Sparky*
Sparky*
Sparky*
Data platforms

AI and Data Lake for the Circular Economy in Energy

The challenge
Energy companies need to track materials, waste, and reuse to meet circular economy and ESG goals, but the data is scattered across operations.

What we built
We built a model that combines AI with a data lake of operational and material data to support circular economy practices in energy.

Teams see material flows and reuse potential in one place and get solid input for ESG reporting. The model has been validated in the lab.

Business value

  • Visibility of material flows and reuse potential
  • Input for ESG reporting
  • A basis for new circular services
  • Scattered data brought together

Where else it applies
The same approach transfers to manufacturing, construction, and waste management. It belongs to our Data Platforms and Data Lakes work: one trusted place for data that is scattered across systems, sensors, and files, made ready for reporting and AI.

Task

Track materials and reuse to meet circular economy and ESG goals.

  • Strategy

    Bring operational and material data into a data lake and analyse it with AI.

  • Design

    An AI and data lake model for the circular economy in energy.

  • Client

    Energy sector

  • Tags

    Energy

Let’s build together

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