This report maps the application of analytics, automation and AI (A3) across the telco organisation, identifying where each technology is most effective, and providing a foundation for understanding and planning the use of A3 to improve core business performance. Part 2 will estimate the potential value of applications.
Telco cloud made big promises for the transformation of telecoms. It is a fundamental enabler for 5G and the exciting opportunities ahead. Why hasn’t it delivered yet – and what needs to change?
As a conglomerate with growing investments across the Internet of Things and AI value chains, SoftBank is a unique and intriguing player in the telecoms industry. What exactly is SoftBank’s strategy, and does it give its telecoms businesses a competitive advantage?
How telecoms industry CEOs can reignite growth, align investors, employees, customers and governments, and reinvigorate the industry for the next decade.
The SMB market offers an attractive opportunity for telcos, but given historical difficulties in this space, what can telcos do now to be successful? This report explores key SMB product and channel strategies, as well as the supporting capabilities that telcos must invest in to win with SMBs.
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?
The origins and path of the innovative Finnish operator’s successful new proposition for the manufacturing industry in the Coordination Age.
We look at nine telcos’ approaches to the healthcare market to identify keys areas of opportunity and lessons on what it takes to succeed.
We look at overarching trends in digital health and how telcos, global internet players, and health focused software and hardware vendors are positioning themselves to address the needs of resource-strained healthcare providers.
Although nearly all operators aspire to deploy autonomous networks and personalised customer services, few have actually implemented advanced analytics at scale across their organisations. Almost universally, telcos are hampered by incomplete and siloed data sets and cultural resistance. What have the industry’s leaders done to overcome these challenges?
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?
All telcos know they need to change. We believe the defining characteristic of those that will grow most is a clear focus on where and how they can create value beyond connectivity. This report lays out the two viable paths forward, and six steps all telcos must take in this new version of the Telco 2.0 vision.
IoT, 5G, edge computing and AI showed they were maturing as technologies at MWC 2018, but it’s harder to see yet how the first three make much money for telcos. AI has a different problem: the field is developing so fast that best practice is changing all the time. In this report we outline what we found, and a pragmatic approach for telcos to successfully harness these technologies and create value beyond connectivity.
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.
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?