Indosat Ooredoo Hutchison and Nokia use AI to reduce energy demand and emissions
Indonesian network operator Indosat Ooredoo Hutchison has deployed Nokia Energy Efficiency (part of the company’s Autonomous Networks portfolio – described below) to reduce energy demand and carbon dioxide emissions across its RAN network using AI. Nokia’s energy control system uses AI and machine learning algorithms to analyze real-time traffic patterns, and will enable the operator to adjust or shut idle and unused radio equipment automatically during low network demand periods.
The multi-vendor, AI-driven energy management solution can reduce energy costs and carbon footprint with no negative impact on network performance or customer experience. It can be rolled out in a matter of weeks.
Indosat is aiming to transform itself from a conventional telecom operator into an AI TechCo—powered by intelligent technologies, cloud-based platforms, and a commitment to sustainability. By embedding automation and intelligence into network operations, Indosat is unlocking new levels of efficiency, agility, and environmental responsibility across its infrastructure.
Earlier this year Indosat claimed to be the first operator to deploy AI-RAN in Indonesia, in a deal involving the integration of Nokia’s 5G cloud RAN solution with Nvidia’s Aerial platform. The Memorandum of Understanding (MoU) between the three firms included the development, testing, and deployment of AI-RAN, with an initial focus on transferring AI inferencing workloads on the AI Aerial, then the integration of RAN workloads on the same platform.
“As data consumption continues to grow, so does our responsibility to manage resources wisely. This collaboration reflects Indosat’s unwavering commitment to environmental stewardship and sustainable innovation, using AI to not only optimize performance, but also reduce emissions and energy use across our network.” said Desmond Cheung, Director and Chief Technology Officer at Indosat Ooredoo Hutchison.
Indosat was the first operator in Southeast Asia to achieve ISO 50001 certification for energy management—underscoring its pledge to minimize environmental impact through operational excellence. The collaboration with Nokia builds upon a successful pilot project, in which the AI-powered solution demonstrated its ability to reduce energy consumption in live network conditions.
Following the pilot project, Nokia deployed its Energy Efficiency solution to the entire Nokia RAN footprint within Indonesia, e.g. Sumatra, Kalimantan, Central and East Java.
“We are very pleased to be helping Indosat deliver on its commitments to sustainability and environmental responsibility, establishing its position both locally and internationally. Nokia Energy Efficiency reflects the important R&D investments that Nokia continues to make to help our customers optimize energy savings and network performance simultaneously,” said Henrique Vale, VP for Cloud and Network Services APAC at Nokia.
Nokia’s Autonomous Networks portfolio, including its Autonomous Networks Fabric solution, utilizes Agentic AI to deliver advanced security, analytics, and operations capabilities that provide operators with a holistic, real-time view of the network so they can reduce costs, accelerate time-to-value, and deliver the best customer experience.
Autonomous Networks Fabric is a unifying intelligence layer that weaves together observability, analytics, security, and automation across every network domain; allowing a network to behave as one adaptive system, regardless of vendor, architecture, or deployment model.
References: