AI and agents in next-generation assurance
This research examines current and future requirements for AI and ML in service assurance as telcos move towards self-healing networks supported by agentic AI.
Tag Archives: Machine Learning
From reactive networks to AI-driven automation: A new path to network autonomy
This report explores how a more adaptive, cross-domain AI approach, leveraging the latest AI techniques such as time series foundation models, can move operators forward in their network autonomy journey and unlock significant financial value.
5G: The next phase
The range of optional additional features in 5G has expanded massively since previous generations. This report covers the technology, use cases and timelines for six of the less-discussed domains of 5G evolution – RedCap, sidelink, URLLC and time-sensitive networking, drone connectivity, precise positioning and real-time communication.
Autonomous networks: The role of multi-agent systems
The development of agents underpinned by data and knowledge assets looks set to be a major challenge for telcos. It may take up to ten years for telcos to truly master agents, but they will be key to the realisation of fully autonomous networks.
The journey to a self-healing network: Intelligence, agents and complexity
As the deployment of AI/ML ramps up, telcos need to develop an ‘intelligence architecture’, supporting the move towards Level 4 and 5 in the TM Forum’s Autonomous Network Framework. How will such an intelligent architecture support the self-healing network?
The telecom techco: The role of network cloud, automation and AI
Telcos are pursuing a telecom techco vision to renew business models. This report explores how network cloud, automation and AI accelerate this transformation, with insights on scaling these technologies, impactful AI/automation use cases and the advantages of open source.
Finding value from AI, analytics and automation in the telco: Part 2
In this report, we update our model of the financial value of adding AI, analytics and automation (A3) into a telco’s processes. This report focuses on the impact A3 can have in the BSS, channels, marketing and sales, and has a particular focus on the impact of new GenAI capabilities in these areas.
Real-time automation for manufacturers: How providers can scale the market
The manufacturing vertical is expected to be the largest customer group for real-time automation solutions. This report outlines how ecosystem players, such as systems integrators and independent software vendors, can work together to leverage their strengths and better serve the sector.
The state of telco AI and what operators should do next
Major advancements in artificial intelligence are increasing telco stakeholder expectations. This report assesses where telcos are on their AI adoption journeys and provides recommendations for how they can accelerate their progress.
Generative AI: Why and how telcos should skill up for success?
Generative AI is expected to create significant value across the telecommunications industry. To capitalise on the opportunity, telcos must build new skills across their organisations. Getting this right is critical given the scale of implementation challenges and the significance of impact on how employees work.
Generative AI and beyond: Preparing for future A3
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?
The data-driven telco: How to progress
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.
MWC 2023: You are now in a new industry
We found subtle but significant shifts at the GSMA’s Mobile World Congress 2023 that show how the market’s need is changing to ‘connecting technologies’ rather than ‘connectivity’. This has deep implications for the industry and telcos in particular.
Four goals for the data-driven telco
Truly data-driven organisations excel at understanding their customers, driving new revenues, and evolving their business models. In order to achieve these benefits, telcos will need to create more useable data sets, accessible to all across the organisation – and to external partners in the future. What practical steps should they take to get there?
The Future of Work: How AI can help telcos keep up
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.
AI & automation for telcos: Mapping the financial value
In this report we update our initial model of the potential financial value of adding analytics, AI and automation (A3) into a telco’s processes. Our bottom up assessment of 150+ processes across networks and operations, customer channels, sales and marketing shows telcos can achieve financial benefits amounting to more than 8% of annual revenues.
How telcos can make the world a safer place
With the rollout of 5G, the telecoms industry could coordinate the development of early warning systems to mitigate the impact of pollution, wildfires, floods, infectious diseases and other threats.