AI is only worth by the quality of its data

EGM Advocates a Standards-Based Approach at the ETSI AI & Data Conference 2026

From February 9 to 11, 2026, EGM participated in the ETSI AI & Data Conference, a leading European event dedicated to the convergence of artificial intelligence, data management, and standardization.

Over three days, industry experts, researchers, and decision-makers explored a key question:
How can we move from AI promises to truly deployable, interoperable, and industrialized solutions?

Through two consecutive presentations, EGM defended a clear conviction:
model performance alone is not enough.
Without structured, standardized, and well-governed data, AI remains limited to demonstration.

An AI Agent Capable of Exploring an NGSI-LD Graph

During the first session, Adam Lewis (EGM) introduced a concrete use case: an AI agent capable of exploring and reasoning over an NGSI-LD compliant data graph.

Rather than simply generating text-based answers, this agent:

• Dynamically analyzes the graph structure

• Identifies relevant entities

• Automatically chains multiple NGSI-LD API calls

• Combines results to produce actionable responses

This approach demonstrates that AI becomes truly operational when it relies on structured, queryable, and standardized data.

By leveraging the ETSI NGSI-LD standard, interoperability between systems is ensured, enabling consistent data exchange and seamless integration across multiple sources.

ETSI Standards as a Strategic Lever for Reliable AI

On the following day, Franck Le Gall, CEO of EGM, expanded the discussion by addressing the structural challenges linked to AI industrialization.

Key topics included:

• Interoperability as a prerequisite for scalability

• The importance of robust data governance

• The role of European standards in the context of the AI Act and Data Act

• The contribution of ETSI specifications to building a sustainable ecosystem

The message was clear:
Reliable AI requires a solid technical foundation.

Standards are not administrative constraints.
They are strategic enablers that secure, structure, and future-proof intelligent systems.

AI, Data, and Standards: A Structuring Equation for the Future

EGM’s participation in the ETSI AI & Data Conference 2026 reinforces a strategic direction:

Intelligence does not come from models alone.
It depends on the quality, structure, and governance of data.

As AI becomes a major industrial and territorial challenge, aligning technological innovation with European standardization is a decisive factor for long-term success.

By building on open standards such as NGSI-LD, EGM contributes to the development of interoperable, scalable, and future-ready solutions.

Moving from AI Demonstration to Industrialization

Are you developing AI or data-driven projects and looking to ensure interoperability, compliance, and scalability?

EGM supports public and private stakeholders in the design, architecture, and integration of solutions based on open European standards, including ETSI and NGSI-LD.

Let’s discuss your challenges and use cases.