The Mobile World Congress (MWC) 2025 witnessed a groundbreaking announcement from Jio Platforms Limited (JPL). Teaming up with industry giants AMD, Cisco, and Nokia, Jio unveiled its AI-powered Open Telecom AI Platform. This initiative aims to integrate Artificial Intelligence (AI) into telecom networks, improving network security, efficiency, and automation.
By leveraging AI-driven automation, Jio’s Open Telecom AI Platform will enhance how networks are monitored, maintained, and optimized. This collaboration sets the stage for a new era in telecom, where AI transforms network operations, cybersecurity, and service management.

The Vision Behind Jio’s AI-Powered Telecom Network
The Open Telecom AI Platform is being developed as a multi-domain intelligence framework, incorporating:
- Agentic AI – Autonomous AI agents for dynamic network optimization.
- Large Language Models (LLMs) – AI models for advanced decision-making.
- Small Language Models (SLMs) – Lightweight AI solutions tailored for telecom applications.
- Machine Learning (ML) Algorithms – Enhancing predictive analytics and network efficiency.
Mathew Oommen, Group CEO of Reliance Jio, stated that this initiative is more than just automation; it’s about creating self-adapting networks that improve service reliability and operational efficiency in real time.
Key Features of Jio’s AI-Driven Telecom Platform
1. AI-Driven Network Optimization
Jio’s AI-powered platform will revolutionize how telecom providers manage their infrastructure. The system will dynamically analyze network performance and reallocate resources in real time to maintain optimal efficiency.
2. Enhanced Security with AI-Powered Threat Detection
With cyber threats on the rise, Jio’s platform will introduce automated security monitoring. AI will proactively detect and mitigate cyber risks, ensuring enhanced network security and data integrity.
3. LLM-Agnostic AI Framework
The platform is LLM-agnostic, meaning it will support various AI models, making it adaptable to future technological advancements.
4. Open API Integration
One of the major highlights is its open API architecture, allowing seamless integration with existing telecom infrastructure without significant modifications.
5. AI-Driven Cost Optimization
By leveraging AI, Jio’s platform will significantly reduce operational costs by minimizing manual intervention, leading to better resource allocation and cost savings.
6. Future Service Expansion
AI-driven insights will enable telecom providers to explore new service opportunities, including enhanced customer experience, smart network solutions, and predictive analytics.
How the Open Telecom AI Platform Works
The Open Telecom AI Platform is built to function with minimal human intervention, making it a self-sustaining AI-driven network. Here’s how it operates:
- Real-Time Data Analysis – The system continuously collects data from network nodes to identify patterns and anomalies.
- Predictive Maintenance – AI algorithms detect potential network failures before they happen, reducing downtime and disruptions.
- Autonomous Decision-Making – AI models dynamically adjust network configurations to ensure seamless connectivity and performance.
- Cybersecurity Enforcement – AI-driven threat detection mechanisms monitor, analyze, and counteract cyber threats.
Industry Collaboration: Jio, AMD, Cisco, and Nokia
AMD’s Role: High-Performance AI Processing
AMD will provide cutting-edge AI processing hardware and accelerated computing solutions to power Jio’s AI-driven network infrastructure.
Cisco’s Role: Expertise in Networking and Security
Cisco will contribute its expertise in networking, security, and analytics to optimize Jio’s AI-driven telecom operations.
Nokia’s Role: AI Integration Across Network Domains
Nokia will focus on integrating AI across Radio Access Networks (RAN), Core Networks, and Optical Networks, ensuring comprehensive AI-driven network management.
Jio’s Role: Pioneering AI Deployment in Telecom
As the first telecom provider to deploy this AI-powered platform, Jio aims to set a benchmark for global industry adoption.
The Future of AI in Telecom: What Lies Ahead?
The introduction of Jio’s AI-powered telecom platform marks a major shift in how telecom networks are managed. The future of AI in telecom holds unlimited possibilities, including:
- 5G and 6G Network Optimization – AI will play a key role in optimizing next-generation networks.
- Improved Customer Experience – AI-driven insights will help in providing personalized services.
- Intelligent Infrastructure Scaling – AI will automate network expansion and traffic management.
- Global Standardization of AI in Telecom – Jio’s model could serve as a blueprint for telecom providers worldwide.
Frequently Asked Questions:
1. What is Jio’s Open Telecom AI Platform?
Jio’s Open Telecom AI Platform is an AI-driven system designed to enhance network security, efficiency, and automation by integrating Agentic AI, LLMs, and machine learning models.
2. How will AI improve telecom network operations?
AI will automate network monitoring, optimize resource allocation, enhance cybersecurity, and reduce operational costs through predictive analytics.
3. What is the role of AMD, Cisco, and Nokia in this collaboration?
- AMD – Providing high-performance AI processing capabilities.
- Cisco – Enhancing networking and security solutions.
- Nokia – Integrating AI across telecom infrastructure.
4. When will Jio launch the AI-powered telecom platform?
Jio will be the first telecom provider to implement the AI-driven platform, with full-scale deployment expected post-MWC 2025.
5. How will AI impact the future of telecom networks?
AI will revolutionize telecom by improving service reliability, reducing operational costs, enhancing cybersecurity, and enabling new service innovations.