403
Sorry!!
Error! We're sorry, but the page you were looking for doesn't exist.
Cloudera Joins AI-RAN Alliance To Drive Real-Time Data Innovation And AI-Native Telecommunications
(MENAFN- Mid-East Info) Cloudera to participate in new“Data for AI-RAN” alliance with Dell, NVIDIA, Softbank, and T-Mobile, advancing real-time data management, edge AI, and hybrid MLOps for telecom networks
Dubai, UAE – June 16, 2025: Cloudera , the only true hybrid platform for data, analytics and AI, today announced it has joined the AI-RAN Alliance , a global consortium committed to integrating AI into telecommunications infrastructure. Cloudera joins a pioneering group of innovative telecommunication providers that has joined forces with data and AI companies all focused on driving the AI-RAN agenda and transforming telecommunication networks into intelligent, revenue-generating platforms with real-time data and AI. As telecommunication providers race to optimize the cost of network operations through virtualization and next generation infrastructure and architectures, AI provides a unique opportunity. AI drives better business outcomes through network service efficiency while at the same time opening up significant opportunities for services innovation. The complexity of deploying AI across distributed edge environments is not trivial and telecommunication providers will have to drive strategic enterprise-wide efforts to operationalize AI at scale across the radio access network (RAN) to unlock its full commercial potential. The AI-RAN Alliance-which counts NVIDIA as a founding member and Dell, SoftBank, T-Mobile, KT and LG U+ as members-was created to solve these issues while driving innovation at the intersection of AI and telecommunications. Together, the AI-RAN Alliance members are standardizing the integration of AI into existing and new networks, enabling shared infrastructure for AI optimization, accelerating the development of edge AI applications, and establishing real-world proof points to help telecommunications deploy AI reliably and profitably. As a recognized leader in enterprise AI and modern data architecture, Cloudera brings a powerful combination of scalable data management, edge-to-AI orchestration, and an open-source-first approach that complements the AI-RAN Alliance's mission. Cloudera is uniquely positioned to enable telecommunication providers to deploy, manage, and scale AI workloads across hybrid, edge, and on-premises environments. As the newest member of the AI-RAN Alliance, Cloudera will:
Dubai, UAE – June 16, 2025: Cloudera , the only true hybrid platform for data, analytics and AI, today announced it has joined the AI-RAN Alliance , a global consortium committed to integrating AI into telecommunications infrastructure. Cloudera joins a pioneering group of innovative telecommunication providers that has joined forces with data and AI companies all focused on driving the AI-RAN agenda and transforming telecommunication networks into intelligent, revenue-generating platforms with real-time data and AI. As telecommunication providers race to optimize the cost of network operations through virtualization and next generation infrastructure and architectures, AI provides a unique opportunity. AI drives better business outcomes through network service efficiency while at the same time opening up significant opportunities for services innovation. The complexity of deploying AI across distributed edge environments is not trivial and telecommunication providers will have to drive strategic enterprise-wide efforts to operationalize AI at scale across the radio access network (RAN) to unlock its full commercial potential. The AI-RAN Alliance-which counts NVIDIA as a founding member and Dell, SoftBank, T-Mobile, KT and LG U+ as members-was created to solve these issues while driving innovation at the intersection of AI and telecommunications. Together, the AI-RAN Alliance members are standardizing the integration of AI into existing and new networks, enabling shared infrastructure for AI optimization, accelerating the development of edge AI applications, and establishing real-world proof points to help telecommunications deploy AI reliably and profitably. As a recognized leader in enterprise AI and modern data architecture, Cloudera brings a powerful combination of scalable data management, edge-to-AI orchestration, and an open-source-first approach that complements the AI-RAN Alliance's mission. Cloudera is uniquely positioned to enable telecommunication providers to deploy, manage, and scale AI workloads across hybrid, edge, and on-premises environments. As the newest member of the AI-RAN Alliance, Cloudera will:
-
Participate in the new 'Data for AI-RAN' working group, aimed at standardizing data orchestration, LLM-driven network automation, and hybrid-enabled MLOps across telecommunications and AI workloads. Cloudera's involvement will bring data and AI platform expertise to the AI-RAN Alliance, and help align data and AI pipelines with telecom operational needs-unlocking faster innovation and deployment of AI-native use cases.
Support the AI-RAN Alliance's three core objectives , including AI-for-RAN, AI-and-RAN, and AI-on-RAN.
Accelerate real-world AI use cases with AI-RAN Alliance members to pilot and deploy AI applications, such as SLA-driven network availability and real-time anomaly detection. This includes building and validating reference architectures that telecommunications operators can deploy against in live environments, shortening the path from innovation to implementation, and maximizing model reusability and collaboration.
Leverage the Cloudera platform to demonstrate real-time decision-making at the edge, enabling scalable training data preparation/MLOps, and operationalizing AI inference at scale while ensuring governance, observability, and edge-to-core orchestration.
Legal Disclaimer:
MENAFN provides the
information “as is” without warranty of any kind. We do not accept
any responsibility or liability for the accuracy, content, images,
videos, licenses, completeness, legality, or reliability of the information
contained in this article. If you have any complaints or copyright
issues related to this article, kindly contact the provider above.

Comments
No comment