A 2028 global data and AI strategy roadmap - NEXANS x ARTEFACT x DATABRICKS - Client Testimonial

Описание: A 2028 global data and AI strategy roadmap built on Databricks data foundations and governance (in English w/ Subs)

Read the client case: https://www.artefact.com/cases/nexans...

Nexans first launched the SHIFT program to improve performance across its activities. Building on this foundation, the Group initiated SHIFT AI to leverage data and artificial intelligence as core business performance drivers. To define its global AI strategy and industrialize data at scale, Nexans partnered with Artefact and Databricks to design a 2028 AI vision, establish a unified data platform, and deploy strong data governance.

I - Challenge: Structuring data and AI to support business transformation at scale

Nexans carried out a successful business transformation (SHIFT) thanks in part to increased data usage. Previously, teams used only 5% of the group’s data, but today that figure stands at 20%.
Building on this success, Nexans decided to amplify the impact of data and AI through the SHIFT AI program, with a goal of using 90% of the data.

In parallel, the company also needed to:
Assess its current data and AI maturity
Define a long-term strategic vision aligned with their business priorities
Identify and prioritize high-value AI use cases
Increase flexibility across the value chain, from pricing to delivery
Balance growth, sustainability, and economic performance

II - Solution: A state-of-the-art Databricks platform with AI and generative AI capabilities

The close collaboration between Artefact’s teams and those of Nexans, coupled with the data-driving efficiency of the Databricks’ platform, enabled the transformation of operational challenges into scalable AI solutions.
The teams worked across two complementary workstreams to design Nexans’ 2028 AI vision and roadmap, and to deploy a centralized data platform and governance framework.

A) Design of Nexans’ 2028 AI vision and business roadmap

Artefact supported Nexans in conducting a comprehensive assessment of their existing data assets and architecture, as well as their tools and platforms, organizational maturity, and their ongoing data and AI initiatives.
Key transformation areas include complexity reduction, dynamic pricing and market sizing, costing optimization, advanced customer segmentation, and operational efficiency and supply chain performance.

B) Deployment of the Databricks data platform and governance framework

To support large-scale deployment, a centralized data platform was designed and implemented using Azure Databricks as the core technology.

The platform includes:
A fully interoperable architecture connected to Nexans’ core systems
Embedded AI and generative AI capabilities
A marketplace of trusted, reusable data assets, co-built with business teams
Enterprise-grade data governance, quality management, and monitoring
A dedicated operating model structured across multiple data domains

III - Results: A scalable data and AI operating model already delivering business value

The unified and governed data platform now structures Nexans’ data across nine business domains, five of which are being activated. Core platform enablers have been deployed, including architecture, data, and AI stack, monitoring, and data quality.

To date, the platform has delivered more than 150 core data assets, with over 25 business stakeholders onboarded, enabling the creation of additional enterprise data assets and empowering teams to run autonomous, data-driven analyses at scale. Adoption is underway across Sales, Finance, Purchasing, and Supply Chain business units.

On the operational side, more than five use cases have been developed on the Databricks platform, with another five in the pipeline. Several AI use cases were already deployed in 2025, and 25 strategic use cases have been prioritized for 2028.

Between the SHIFT AI program and the new data platform, Nexans is moving from limited data usage to large-scale data-driven operations. Their objective is to progressively leverage up to 90% of usable enterprise data to support decision-making and performance.

IV - Conclusion: An industrial AI strategy aligned with long-term business performance

Artefact teams worked directly with Nexans’ business and IT teams to translate operational challenges into scalable AI solutions. Thanks to their close collaboration, they:

Defined a clear 2028 global AI vision
Built a centralized, governed, scalable data platform
Structured a robust data and AI operating model
Prioritized and deployed high-value AI use cases
Positioned data as a core business performance asset

Nexans now operates with an industrial-grade data and AI framework that directly supports long-term business performance, operational excellence, and sustainability objectives. Today, data is managed as a strategic asset embedded in Nexans’ core business operations.