Recharging Consumer Revenues

AI: How telcos can profit from deep learning

Artificial intelligence (AI) is improving rapidly thanks to the growing use of deep neural networks to teach computers how to interpret the real world (deep learning). These networks use vast amounts of detailed data to enable machines to learn. What are the potential benefits for telcos, and what do they need to do to make this happen?

5G: The spectrum game is changing – but how to play?

5G deployments will need new allocations of radio spectrum, particularly to achieve promised speeds, and target new IoT use-cases. However, the official process for releasing new frequencies is slow and cumbersome. Some countries may short-circuit the process. At the same time, the rationale for new sharing mechanisms, that allow industrial and vertical players to acquire spectrum for their own networks, outside of MNO control, is growing. What should telcos do?

NFV and OSS: Virtualization meets reality

Changing telcos’ systems from a legacy to a virtualised model is a bit like building an autonomous car from a moving steam locomotive. In this report, we look at the relationship between NFV (Network Functions Virtualization) and OSS (Operations Support Systems), and the difficulties that operators and the developer community are facing in migrating from legacy OSS to NFV-based methods for delivering and managing communications services.

NTT DoCoMo: The Digital Pathfinder

Developing new digital services is a key growth strategy to make up for Voice revenue decline, but many telcos are struggling to implement it effectively. NTT DoCoMo has made more progress in digital services than any other operator, but is often dismissed as an example because Japan is considered “too different” to be useful for other operators. We disagree with this assumption and highlight key lessons that operators can learn from NTT DoCoMo’s digital journey.