Orange Business Enables Trusted AI Solutions in Europe
Orange Business, the enterprise division of Orange Group, joined the NVIDIA Cloud Partner program to accelerate development of enterprise-grade agentic AI, including its Live Intelligence platform, which lets companies of all sizes securely deploy generative AI at scale by tapping into the Orange Business Cloud Avenue platform built on NVIDIA infrastructure. Orange has also applied AI to its own operations, with 73,000 employees regularly using the solution to streamline tasks, develop software, automate support procedures and enhance decision-making, benefiting from Orange's sovereign AI infrastructure supporting employees in France as well as across Europe and Africa and handling over 30,000 requests daily.
Overview
Orange Business, the enterprise division of Orange Group, joined the NVIDIA Cloud Partner program to accelerate development of enterprise-grade agentic AI, including its Live Intelligence platform, which lets companies of all sizes securely deploy generative AI at scale by tapping into the Orange Business Cloud Avenue platform built on NVIDIA infrastructure. Orange has also applied AI to its own operations, with 73,000 employees regularly using the solution to streamline tasks, develop software, automate support procedures and enhance decision-making, benefiting from Orange's sovereign AI infrastructure supporting employees in France as well as across Europe and Africa and handling over 30,000 requests daily.
This entry has 15 published fields tied to exact passages in an immutable source capture.
Inspect the highlighted sourceThe challenge
AI factories are producing intelligence at unprecedented scale, showing massive potential to fuel economic growth and innovation. But to tap that intelligence, countries need secure, sovereign AI infrastructure.
The solution
Orange Business, the enterprise division of the Orange Group, one of Europe's leading telco operators, has joined the NVIDIA Cloud Partner program to accelerate the development of enterprise-grade agentic AI, including its innovative Live Intelligence platform, which empowers companies of all sizes to securely deploy generative AI at scale. Those AI solutions tap into Orange Business Cloud Avenue platform, built on high-performance NVIDIA infrastructure. This will allow enterprises across Europe to access AI infrastructure, train custom AI models and deploy secure generative AI applications through Orange Business' Live Intelligence platform.
Reported business value
Orange has also applied AI to its own operations, with 73,000 employees now regularly using the solution to streamline tasks, develop software, automate support procedures and enhance decision-making. These cases will benefit from Orange's sovereign AI infrastructure — supporting employees in France, as well as across Europe and Africa, and handling over 30,000 requests daily.
Sources
Open any source and check the claim yourself — that is the point of the register.
This record was researched and written with AI assistance, and its claims were checked against the sources above. (EU AI Act art. 50 transparency notice.)
Other telecommunications entries in the register.
AI serves QoS & operational efficiency
Orange France deployed AI-based tools across its network operations to improve quality of service and operational efficiency, including the Recovisu diagnostic tool that helps technicians correct errors during interventions, automated frequency declarations with the National Frequency Agency, AI-driven preventive maintenance for equipment such as antenna batteries, and an AI-evaluated citizen infrastructure-damage-reporting app. The NRJ5G app analyzed consumption data to prevent unnecessary mobile site electrical subscription upgrades, saving nearly 48 million.
Deutsche Telekom and Google Cloud Collaborate on MINDR Agentic AI for Autonomous Network Operations
Deutsche Telekom, in partnership with Google Cloud, announced MINDR (Multi-Agentic Intelligent Network Diagnostics & Remediation), a multi-agentic AI system built with Google Gemini models on Vertex AI and developed with Google Cloud's Autonomous Network Operations framework. MINDR correlates signals end-to-end across the RAN, transport, and core network domains to proactively identify service-impacting issues and support autonomous, explainable remediation, shifting operations from reactive troubleshooting to predictive automation. MINDR builds on Deutsche Telekom's RAN Guardian Agent, live in production in Germany since November 2025, which monitors network behavior during high-impact events and traffic surges. RAN Guardian autonomously triggered over 100 remediation actions at Christmas market events in its first month and reduced the time needed to manage major events from hours to around a minute (a more than 95% improvement). For 2026 it identified 237,000 events, including around 130 Carnival events each expected to draw over 10,000 participants, served by 611 mobile sites pre-checked for issues; only 5 sites experienced peak loads, which RAN Guardian optimized during the event. RAN Guardian is now scaling across Deutsche Telekom's European national companies, starting with the Czech Republic and Croatia. MINDR's first production releases are planned for later in 2026.
Chunghwa Telecom Builds Multiple Generative AI Solutions with Amazon Bedrock
Chunghwa Telecom, one of Taiwan's largest integrated telecom providers, migrated its generative AI projects to Amazon Bedrock and built three applications: a software development lifecycle documentation assistant, an interactive virtual English teacher using Amazon Titan and Stable Diffusion XL, and a generative AI marketing assistant built on Amazon Personalize.
BT Group writes and maintains 2 million lines of code a year using Amazon Q Developer
BT Group, a UK telecommunications company, rolled out Amazon Q Developer to around 2,000 active developers for AI-assisted coding, chat-based troubleshooting, automated unit test generation, and code transformation from older to newer, more secure versions.
Was this helpful?
Your feedback helps us improve our use case database
