Private networks have blazed a whole new trail for enterprise innovation with the ability to customize their design and control operations. The pace of adoption, however, has slowed due to the complexity and the high costs of customization of networks. With the emergence of 5G, the choice of vendors expands, the operation complexity increases with disaggregated open networks, and the cost increases with greater recourse to system integrators and other experts. Enterprises need a simpler way to design and operate private wireless networks. Could Artificial Intelligence come to the rescue and learn ways to configure and customize networks for targeted use cases? Are AI algorithms accurate enough or the data is adequate to train algorithms to accomplish these goals? Let’s find out!
Our guest for today’s podcast is David Ronen. He is the VP & GM Private Network at Cellwize. Programmability of private networks with artificial intelligence is the byword at Cellwize.
In today’s discussion, we will explore some important topics such as:
- What do enterprises really want from their commercial Private 5G implementation?
- What are the gaps in assuring business outcomes with Private 5G networks?
- What are some of the roadblocks in operationalizing Private Wireless Network?
- How can enterprises, system integrators, and neutral host providers customize operations for different use cases?
- Are technologies like AI and network programmability mature enough to automate deployments of private networks?
- What are the learnings from the early trials with programmable private networks?
