Autonomous networks need agents that can be trusted to act on live events. That means solving two problems: data that is thorough enough to catch a genuine anomaly, and fast enough to remain valid by the time a decision is made. How should operators approach both?
Agentic AI is beginning to penetrate telco operations, but only in domains such as billing and field maintenance, which do not require real-time data or network operations. What will it take to enable secure and reliable use of agentic AI in more critical network operations?
Discover the best edge monetisation opportunities, understand the key partners, and inform your go-to-market strategy through our edge computing use case directory.
To deliver on their AI visions (especially agentic AI), operators must transform their data foundations and capabilities to avoid “garbage in, garbage out”. We identify the steps operators can take to get their data ready for AI on the journey towards level 4+ autonomy.
In the first report in this series we identified the most promising opportunities for telcos to serve enterprise AI needs. This follow-up research focuses on the practical steps telcos must take to execute, differentiate and deliver impact for enterprises adopting AI.
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.
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.
At its September 2025 analyst event, Amdocs outlined how it is transforming to support its view of where the telecom industry will go next, particularly in the context of AI, and demonstrated a techco playbook of change. What can telcos learn from its approach?
Ericsson used its annual analyst event in Boston to outline the steps it is taking to strengthen its enterprise connectivity portfolio, set against the backdrop of a challenging financial period for the company. This report highlights four key themes that emerged from the event.
This report examines the key opportunities for telecom operators to monetise enterprise AI and secure long-term relevance within the emerging AI ecosystem.
DTW Ignite 2025 showed a telco industry that is truly embracing AI and trying to use it as a platform for accelerated transformation. We hope it succeeds.
In this report, we discuss the extent to which AI adoption will transform enterprise networking and set out a framework of key questions that decision-makers should consider when developing and designing their AI strategies.
AI will create large potential opportunities for telcos in connectivity and use case enablement. But telcos must manage expectations and prioritise their investments carefully.
It was no surprise that AI dominated MWC this year. But there were lots of other notable trends on the rise – including cybersecurity and data centres – and some that were disappointingly overlooked. Find out what the STL Partners team saw and missed at MWC 2025.
Trusted intelligence is crucial for operators in progressing to Level 4+
autonomous networks. This research explores the role of digital twins, agentic AI and operator knowledge in achieving trusted intelligence.