We show Alliander combines and executes a forward‑looking vision, modern data and AI architecture.

At the core of this transformation is a shift from traditional central data management to a data‑product way of working (Data Mesh). Data is shared as reusable products via a central marketplace. This approach improves data quality, accelerates collaboration, and enables AI to scale across the organization, supported by a self‑service data platform.

A key architectural innovation is the Enterprise Publication Layer (EPL). The EPL enables fast, secure, and responsible sharing of data products, with built‑in metadata and central governance with the help of data contracts. Publication and consuming data products are fully self-service empowering the producers en consumers. The EPL supports multiple types of data infaces, such als bulk-tabular, api's, streaming and unstructured data products.

AI is already part of day‑to‑day operations at Alliander. Use cases range from traditional ML, predicting grid congestion and using computer vision for asset inspections, to intelligent assistants that support engineers and generative AI for policy rewriting, audits, and software development. Across all applications, responsible AI, transparency, explainability, and safety, remains a core principle.

Together, these presentations provide an honest and inspiring view of how a major grid operator uses data and AI to meet societal challenges, transforming daily work, preparing the energy sector for massive change.

The energy transition is dramatically increasing the complexity of the electricity grid: more decentralized generation, growing electrification, and greater fluctuations. To keep the system reliable, affordable, and safe, Alliander is investing in a fundamentally new digital foundation in which data and AI play a central role.