As analytics, AI and automation (A3) technologies mature, we explore nine potential A3 capabilities telcos could offer to their enterprise customers. We identify the sweet spots for telcos by assessing the importance of each of the nine capabilities across 14 industry verticals and mapping them against telcos’ existing levels of expertise.
Tag: Machine Learning
Mobile operators have many of the assets and capabilities required to become a major force in financial services, but they will also need to tap expertise in data analytics/machine learning.
Will many other digital commerce and content companies follow Reliance and Rakuten into the consumer connectivity market?
Over the next 10 years, advances in automation, analytics and AI (A3) are going to drastically change the way telcos manage their core businesses, how their businesses are organised, and the demands of their customers. We outline the core capabilities A3 capabilities telcos will need to remain competitive in their core business and to be effective ecosystem players over the next five to ten years.
As public suspicion about the veracity of online information increases, telcos could use their behavioural data to help Amazon, Google, Airbnb, Uber and others counter fraud, identity theft and fake reviews.
True E2E automation has not yet been achieved, but network automation is a reality now, and one which telcos must master to survive. What steps are telcos taking to implement network automation, what challenges must be overcome and what benefits can be expected?
We consider the potential financial value of adding analytics, AI and automation (A3) into a telco’s processes. Our modelling assesses the value of A3 in more than 150 processes across core network operations, customer care channels, and sales and marketing.
Telcos are well placed to enable the healthcare sector to meet the rising demand for secure and reliable in-home monitoring and treatment for the elderly and infirm.
An overview of the Industrial Internet of Things (IIoT), taking a buyers’eye view of current offerings, identifying issues and potential opportunities for telcos and others.
New control points are emerging in an era characterised by complex coordination challenges and machine learning. How can telcos and their partners help to maintain a balance of power in the Coordination Age?
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?
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?
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.