5G

Notably, this marks the second consecutive year in which Amazon Web Services (AWS) has been prominently cited by Telco SPs as the preferred cloud provider with whom they are actively engaged or planning to collaborate in the near future.

This blog post will explore what generative AI can provide in terms of solutions that can aid 5G network planners.

4G was introduced in 2010, and 5G is still under development, but it is expected to be widely available in the next few years.

By incorporating these hardware accelerators into 5G RAN infrastructure, network operators can meet the demanding performance requirements of 5G, deliver ultra-low latency, and support the massive number of connected devices expected in the era of the Internet of Things (IoT).

Despite challenges with cost and use cases, industry and carriers are committed to deploying 5G as soon as commercially possible.

Containerization (and the CNCF from a standards body) is driving increased adoption of platforms, which can be valuable assets for organizations that are looking to improve their agility, reduce their costs, and improve the quality of their applications and services.

Containerization and Kubernetes are driving the industry toward the development of cloud-shared service platforms for several reasons.

5G world comes with its own unique set of challenges, particularly in network planning and optimization. To overcome these hurdles, this blog post will explore what generative AI can provide in terms of solutions that can aid 5G network planners.

This blog discusses what the applications of Gen AI may be on the network and operational sides of telecom.

Despite the challenges, the potential benefits of SDV are significant. Businesses that are looking to get involved in the SDV ecosystem should start by understanding the benefits and challenges of SDV, and developing a strategy for addressing these challenges.