5G networks incorporate many new technologies beyond the breakthrough capabilities provided by 5G New Radio. The combination of software-defined networking, network functions virtualization, and open, disaggregated, cloud-native infrastructure enables increased service agility and network scalability. 5G’s high throughput, low latency, network slicing and radio density open up new markets for IoT, edge computing and vertical-specific enterprise services.
However, the scale and complexity of 5G’s underlying infrastructure will present mobile network operators (MNOs) with significant operational challenges rolling out first 5G non-standalone (NSA) services on a 4G/LTE core, followed by standalone (SA) services on a dedicated 5G core. Compared to 4G/LTE, the 5G vendor ecosystem is highly diverse, which will also lead to challenges in end-to-end service orchestration and management.
Watch this panel discussion to hear industry experts discuss the critical role that Big Data analytics, machine learning (ML) and artificial intelligence (AI) will play in enabling MNOs to overcome these challenges, which arise as a consequence of deploying a new generation of devices, virtualized RAN infrastructure, edge computing resources and a new cloud-native 5G core.
Panelists:
Audience: Communications service providers (CSPs) and mobile network operators (MNOs)
Guavus is at the forefront of AI-based big data analytics and machine learning innovation, driving digital transformation at 6 of the world’s 7 largest telecommunications providers.
