Defining the need for A3 in private networks
This report looks at the AI, automation and analytics a telco needs to effectively deploy, manage and operate private networks and slicing at scale for enterprise customers.
This report looks at the AI, automation and analytics a telco needs to effectively deploy, manage and operate private networks and slicing at scale for enterprise customers.
In this report we update our model of the financial value of adding AI, analytics and automation (A3) into a telco’s processes. The focus of this update is the network and OSS. In these domains, our bottom-up assessment shows that telcos can achieve financial benefits amounting to 5% of annual revenues.
Fixed operators see network disaggregation as a way to reduce deployment and operational costs, remove vendor lock-in, and combine residential, business and other types of access into a single infrastructure. This report examines progress and learnings from early movers.
The maturity of telco automations in the network OSS and BSS varies significantly. Some telcos are reporting significant headcount reductions from mature automations while others are still in the early stages of simple automation deployments. There are important steps telcos must consider if they are to reach maximum automation.
Telcos and policymakers need new metrics to power evidence-based decisions. New tools and data sources can help build greater understanding and transparency in telecoms.
The use of A3 in open RAN will be an important part of the solution to specific open RAN challenges for telcos. This report reviews the significance of A3 in Open RAN, xAPP and rAPP market opportunities and identifies eleven A3 requirements in developing Open RAN capabilities for telcos.
The pace of GAI development over the last 12 months raises questions for telcos around what else is coming down the track in analytics, AI and automation. How should they respond to GAI, thing as customer, decision intelligence and digital immunity, among others?
Telcos are making progress on the data-driven path. We asked experienced Chief Data Officers about their current short- and mid-term priorities to uncover how to successfully steer the telco towards the ambition of becoming data-driven organisations.
Deployment of digital twins by telcos runs significantly behind some verticals as they have less compelling use cases. However, they are now going live in multiple network-related areas. What are the key drivers and barriers of digital twin adoption in telecoms?
This research defines and considers the topic “Future of work” – exploring the impact of emerging technologies and economic and social changes on telcos, and identifying how A3 (analytics, AI and automation) can help solve new challenges.
Improving customer experience has been a focus for telcos for almost 20 years, but there is still some way to go. This research looks at how A3 is helping telcos today and how it can address key challenges in future.
We evaluate how the concept of agility has changed, its relevance to telecoms and what telco operators are doing to transition to more agile operating models to capture new monetisation opportunities.
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.