The ongoing shift to open RAN is gaining momentum as network operators are in various stages of implementation, but a key new focus for telcos is embracing intelligent automation and AI technologies. Open RAN and AI provide operators with a common platform from the core to the edge with the goals of improving business and operational efficiencies across the network, security, infrastructure and applications. Building AI models and serving them at the edge can be costly due to complex setups but open RAN AI streamlines that process while also cutting operational costs.In this MWL Unwrapped topic panel, GSMA Intelligence, Red Hat, Nokia and TIP will highlight the challenges and opportunities for open RAN AI and how to implement it including:
- Explore how operators can streamline their network operations, improve security measures and optimise resource allocations
- The primary methods for leveraging AI models in the RAN for more dynamic control of frequencies, sectors, cells, and base stations
- Best practices for building, training, serving and monitoring AI models with a focus on fine-tuning them for accuracy
- Usage of AI/ML in the way we operate networks for enhanced customer experience , performance optimization and energy savings
- Leveraging AI for managing performance(SLA) guarantee in advanced usecases like network slicing, RIC Apps
- Transforming operations towards zero touch with efficient use of AI and GenAI