Transcribing, analyzing, and leveraging millions of voice interactions represents a major technical, organizational, and regulatory challenge. During this masterclass organized as part of All4Customer 2026, ViaDialog will present the architectural choices, de-identification mechanisms, and performance trade-offs that enable reconciling industrial volume with strict GDPR compliance, featuring a presentation by EDF on the implementation of the project.
An Industrial-Scale Speech Analytics Project
Large enterprises process massive volumes of customer calls annually. The challenge goes beyond simple transcription; it lies in structuring a pipeline capable of:
Handling high volumes
Ensuring high levels of accuracy
Integrating into complex IT systems
Meeting strict internal security requirements
We will detail the implemented architecture: feed ingestion, high-precision Speech-to-Text processing, quality control mechanisms, and integration into business applications.
GDPR, De-identification, and Data Minimization
Performance cannot come at the expense of compliance.
This masterclass will cover:
Automated de-identification mechanisms
Data minimization strategies
Storage and hosting options
The governance implemented to ensure compliance
Deliberate Architectural Decisions
Beyond the technology, we will share the key trade-offs to consider in this type of project:
Centralized vs. distributed processing
Real-time vs. batch processing
Optimization of computing costs
Phased industrialization
Concrete, directly applicable insights will be presented to guide your own projects.
Practical Information
📅 March 24, 2026
🕑 2:00 PM – 2:45 PM
📍 All4Customer Paris – Masterclass 7
🎟 Free admission (limited seating)
