AI applications will require low-latency, local compute for rapid inferencing and large scale data collection, triage, and engineering. Edge compute will therefore play a key role in AI app delivery. However it’s not just about infrastructure – commercial scale for edge AI will depend on effective ecosystem collaboration models.
Consumer use cases offer a variety of opportunities for telcos and other stakeholders in the area of distributed edge. This report explores seven such use cases and the implications for telcos.
In this update, we look at the new deployments completed by 31 March 2023 or confirmed for completion by the end of 2023 or during 2024, and provide the usual update of telco cloud deployments including new data for 2023 and 2024. Our deep dive this quarter is on SD-WAN and SASE services.
How can operators apply best practice principles from the cloud and leading operators as they plan their metro network for growth?
Regulation of data-driven business can help telecoms differentiate from Internet players, but also comes when telco products and processes increasingly use and monetise data. How should telecoms companies adapt? A must-read for those engaged in data-driven businesses.
How telecoms can adapt and offer customers and other stakeholders an attractive way forward in markets facing inflation, and geopolitical and environmental challenges.
We evaluate the role of disaggregation and cloud native infrastructure and key breakthrough opportunities for network operators.
In recent years, the web 3.0 movement, which seeks to fundamentally change the economics of the Internet, has gained significant momentum. For many telcos, the disruption caused by a shift to web 3.0 could open up opportunities to rebuild relevance and revenues in the consumer market.
In this update, we present granular data on the 5G core, tracking the progress of deployments of both Non-standalone (NSA) and Standalone (SA) network cores. We recorded 49 5G core deployments so far in 2022, 24 of which are SA launches.
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?
In this update we present more granular data into the RAN to track the shift towards disaggregation across vendor ecosystems. It is still very early days with open RAN and vRAN, with 33 deployments in total, but we expect this to accelerate over the coming year.
Despite the hype around edge computing, telcos have been slow to commit investments amid competing priorities for networks teams. How can they work with partners to get the right balance between cost, speed of deployment and developer needs in a fast moving competitive market?
More telcos are making deals to run their VNFs on the public cloud. Not much is live yet. But cloud hosting of network functions will support telcos in realising the benefits of cloud-native, and we believe telcos can safely go further and faster.
New growth from 5G standalone, RAN and SASE is getting underway, amidst maturity and decline in foundational deployments.
Developing edge-enabled services is complicated; there are key decisions to be made at each level of the value chain, starting with infrastructure. Leveraging results from a survey conducted by STL Partners with 150 CSPs, this report outlines why edge infrastructure will be multi-cloud and what telcos should do about it.
As telecoms operations become increasingly softwarised, network functions are getting broken down into their individual parts, and reassembled as an essential part of the IT stack for industry-specific applications and services. In this disaggregated telco value chain, is there anything left that is distinctively ‘telco’?
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.