Tag: automation

Telecoms priorities: Ready for the crunch?

Our latest research covers industry perceptions of likely changes regarding telco investment priorities and activities in 2021. It looks at the relative importance of different technologies (e.g. 5G, automation), propositions in enterprise and consumer markets, networks, strategy and leadership.

Skilling up telcos for A3: New roles and where they fit (Chart)

Our recent research explored the steps telcos are looking to take and should take in order to pursue data-driven strategies in automation, analytics and AI (A3).  Our surveys on industry priorities suggest that operators recognise this need, regardless of whether they are focused on their core connectivity business or seeking to build new value beyond connectivity. A corresponding organisational shift …

Telco A3: Skilling up for the long term

Over the next 10 years, advances in automation, analytics and AI (A3) are going to drastically change the way telcos manage their core businesses, how their businesses are organised, and the demands of their customers. We outline the core capabilities A3 capabilities telcos will need to remain competitive in their core business and to be effective ecosystem players over the next five to ten years.

AI strategy: To centralise or not? (chart)

Though only a handful of telecoms operators, including Telefónica and Elisa, have an ambition to drive new revenue growth through development of their own IP in AI, all operators will need AI to permeate their internal processes to compete effectively in the long term – it is the next logical phase of cost efficiencies the industry has been pursuing over …

Telco data monetisation: Value by vertical (chart)

Monetisation of telco data has been an area of heightened activity for the last couple of years, and an aspiration for far longer.  Our recent research looked at the opportunity for telcos to create new revenue streams from their data and sale of associated products such as analytics and data platforms to their enterprise customers. Underpinning this research is a …

Network intelligence and the emergence of the NSAPs

STL Partners conducted research, supported by Altran, into the emergence of a new category of services that are increasingly important to enable the next generation of network dependent services. In this article, we detail our findings. There is a resurgent interest in applications interfacing with networks With the advent of 5G, NFV and cloud native networking technologies there is a …

How to build trust in a self-healing network

AI in network operations: How do you build trust in a self-healing network?

One of the key challenges in the shift towards more autonomous networks is ensuring trust in the AI models supporting automation, especially for the network engineers who will still remain accountable for network performance even when they are relying on automated and intelligent systems. The goal of a self healing / self-optimising network is to monitor the network in real-time, …

COVID 19 impact on telecoms survey

COVID-19: Impact on telco priorities

This research is based on a survey of more than 200 respondents across operators, vendors and others in the telecoms industry, between 21st April and 8th May 2020. It covers perceptions of likely changes in telco investment priorities and activities over the next few months in 2020.

what is AI analytics and automation worth to telcos

A3 for telcos: Mapping the financial value

We consider the potential financial value of adding analytics, AI and automation (A3) into a telco’s processes. Our modelling assesses the value of A3 in more than 150 processes across core network operations, customer care channels, and sales and marketing.

5G Bridging the gap from hype to reality

5G: Bridging hype, reality and future promises

What should telcos do to bridge the gaps between current hype, actual performance, and future promises on 5G? We argue that a data-driven and forensic approach to roll-out and marketing will be the key, particularly in the uncertain economic environment driven by the COVID-19 pandemic, and review the timelines for future applications.

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