Autonomous networks are still many years away, but AI-supported automation is a reality now, which all telcos must master to survive. What steps must telcos take to implement AI in network maintenance, optimisation and planning, and what is it worth?
Tag: Machine Learning
There’s no doubt that AI is a transformative technology, and chatbots are a focus for many telcos looking to benefit from it. We look at case studies from Telenor, Deutsche Telekom and AT&T to find telcos’ best path toward employing AI. Despite the hype, chatbots may not be the best first step.
Big data analytics could help telcos improve performance, rebuild revenues and regain relevance with consumers, but it is not a quick fix. This report looks at what telcos have done in this area so far and what they need to do next.
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?