Kuala Lumpur: Cloudera, a hybrid platform for data, analytics, and artificial intelligence (AI), has joined the AI-RAN Alliance, a global consortium focused on integrating AI into telecommunications infrastructure. In a recent statement, Cloudera announced its collaboration with major industry players such as Dell, NVIDIA, SoftBank, T-Mobile, KT, and LG U+, with the collective aim of transforming telecom networks into intelligent platforms powered by real-time data and AI.
According to BERNAMA News Agency, Cloudera’s Chief Strategy Officer, Abhas Ricky, expressed the company’s pride in bringing its data and AI expertise to the AI-RAN Alliance. Ricky highlighted Cloudera’s enthusiasm for accelerating innovation alongside alliance members and helping to define data standards and architectures for AI-native networks. Meanwhile, AI-RAN Alliance Chair and SoftBank’s Research Institute of Advanced Technology Principal Fellow, Dr. Alex Jinsung Choi, described Cloudera as an addition that will play a role in advancing AI-native telecom infrastructure.
The AI-RAN Alliance seeks to standardize the integration of AI across existing and future networks, support shared infrastructure for AI optimization, and fast-track the deployment of edge AI applications. The alliance also aims to develop reference architectures to assist operators in implementing AI solutions profitably and at scale.
With the rising complexity of deploying AI across distributed edge environments, telecommunication providers must adopt strategic, enterprise-wide efforts to operationalize AI within radio access networks (RAN). As a new member, Cloudera will contribute to the ‘Data for AI-RAN’ working group, focusing on data orchestration, large language model (LLM)-driven automation, and machine learning operations (MLOps) for hybrid AI workloads. This initiative is expected to align data and AI pipelines with telecom operational needs, enabling faster deployment of AI-native use cases.
Furthermore, Cloudera will support the alliance’s three core objectives-AI-for-RAN, AI-and-RAN, and AI-on-RAN-while working with partners to pilot AI applications such as real-time anomaly detection and service-level agreement (SLA)-driven network availability.