The capacity to run, comprehend and keep up with the complexity of modern cellular networks has far outgrown the capacity to do so manually. Autonomous systems and machine-led technology are now a necessity to ensure 100% uptime for customers, and enterprises alike. Machine-learning and AI play a key role in this evolution of network automation. CSPs must deploy AI and ML in their networks to not only keep up with increasing complexity, but to remain competitive in creating new services and a great customer experience for all subscribers. As such, network evolution needs to focus not only on outward selling points such as speed and reach, but on the technology underpinning its functionality inside. What opportunities and new business ventures does AI and ML create for CSPs? How can carriers put innovation at the heart of network deployment and evolution to put automation at the heart of investment in the network? What role does AI play in the future of network technology? What are the key challenges to building AI and ML into legacy networks?
