We outline three possible pathways for SD-WAN evolution. Part 3 of a three-part mini-series exploring SD-WAN technology from an enterprise perspective.
Tag: artificial intelligence
Our latest research shows that only one in five telco AI projects has made the leap from proof of concept (PoC) to live deployment. How can telcos improve the hit rate and achieve real performance improvements?
Virtual reality and augmented reality have the potential to generate vast amounts of telecoms traffic, together with demand for edge computing, network slicing and other 5G capabilities. But when will these technologies come of age?
Artificial intelligence (AI) is more powerful and affordable than ever, and the leading consumer-facing AI platforms – Google, Apple, Facebook and Amazon – are in an arms race to bring the technology to smartphones. AI will radically change the way people use smartphones, but what are the implications for data traffic and consumer expectations, and what role should telcos play in this evolution?
With iPhone sales apparently peaking, Apple is looking to double its revenue from services over the next four years to approximately US$50 billion, taking it deeper into adjacent markets, such as entertainment, financial services and communications. However, Apple trails behind Google in developing artificial intelligence and needs to extend the reach of its services to capture more behavioural data. If Apple decides to decouple more of its key services from its hardware, that would have major ramifications for Google, Amazon, Facebook and many of the world’s leading telcos.
The connected car market is being seen as one of the most promising segments of the Internet of Things. Everyone from telcos to internet giants Google, and specialist service providers Uber are eyeing opportunities in the sector. In this report we analyse 10 potential connected car use-cases to assess which ones could offer the biggest revenue opportunities for operators and outline the business case for investment. Our results are intriguing, and suggest that human use of data could be the largest telco opportunity in the autonomous car market.
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?