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    Lumine prevails in bid for Casa’s 5G core and RAN assets

    Interloper Skyvera lost out by a narrow margin but cost Lumine $17.2 million more than the original deal it had struck

    Bloomberg reports that the Canada-based Lumine Group has clinched the deal for Casa Systems’ Axycom 5G core and RAN assets for $32.2 million. It outbid Skyvera’s by $0.2 million.

    Before Skyvera got involved, Casa Systems had agreed to sell the assets to Lumine for $15 million to fund bankruptcy proceedings.

    Bloomberg said a US bankruptcy judge approved the sale as it seemed Casa Systems was close to out of money this week. If Lumine doesn’t close the deal this week, then the judge has stipulated that the assets will go to Skyvera which was the only other bidder in the auction.

    Casa Systems made a considerable splash selling broadband kit to cable operators, but racked up hefty costs getting its 5G mobile core and RAN products to market.

    Verizon invested $40 million in Casa Systems in 2022, which gave it a 9.9% stake in the firm.

    Casa has agreed to sell its cable systems tech business to fixed access network technology specialist Vecima Networks for $20 million.

    In January, Lumine Group agreed to acquire Nokia’s device and service management platform businesses for €185 million. This was part of Nokia’s restructuring of its Cloud and Network Services division. The sale was completed on 1 April. About 500 staff are moving from Nokia to the new owner.

    Lumine has been building a portfolio of communications networking software systems through acquisitions over several years.

    Omdia ranks global top 12 operators’ progress towards becoming techcos

    Concludes they are doing well in terms of adopting a software-based operating model and developing enterprise digital services, but their focus on verticals needs work

    China Mobile is ranked as the top overall performer in Omdia’s telco-to-techco benchmark. The Omdia study assesses the efforts of 12 leading telecom service providers globally as they transition towards the techco operator model, integrating communications and technology services.

    Indeed the top three are in Asia, with the leading European group, Deutsche Telekom, four points behind the leader. The US’ leader, AT&T, is joint fifth.

    Telco-to-techco benchmark total scores by service provider

    The high cost of deploying 5G and fibre networks, combined with low growth in revenues for communications and connectivity services, is leading many telcos to reinvent themselves as techcos that provide technology services, primarily to the enterprise sector.

    “A telco that has adopted the techco model successfully is a software-based organization that offers services in areas such as AI, big data, the cloud, and IoT, and can implement digital transformation for specific vertical sectors,” said Matthew Reed, Chief Analyst, Service Provider Strategies, at Omdia.

    China first

    China Mobile ranks first in the telco-to-techco benchmark with a score of 31 points out of a potential maximum of 40, based on the scale of its high-speed broadband platform; its capabilities in AI, big data, and security; and its portfolio of enterprise digital services and vertical market solutions.

    Digital transformation revenue, which is China Mobile’s term for revenue from new digital services, accounted for 29.4% of China Mobile’s service revenue in 2023, an increase of 22.2% year on year, according to the company’s reports. (At the end of 2023, Orange’s had reached 44%.)

    NTT ranks second in the benchmark, reflecting its strengths in software services and in the enterprise market, while SK Telecom, which ranks third, recently unveiled a new strategy to become a global AI company. SK Telecom’s new AI services include an AI-based digital assistant, A., which it plans to launch around the world with other telcos. 

    Top Europeans

    Telefónica ranks fourth in the benchmark, reflecting its progress as a provider of cybersecurity and other enterprise digital services through a dedicated unit, Telefónica Tech. 

    AT&T, e&, and Vodafone rank equal-fifth in the benchmark. AT&T says that being an early adopter of AI has helped it to make operating cost savings of $6 billion. e& adopted a new strategy in 2022 to become a leading global technology and investment group [including a substantial stake in Vodafone], and has acquired or developed assets and capabilities in multiple digital service and technology areas.

    Vodafone has increased its focus on the business market, including enterprise digital services, and aims to expand its IoT operation, already the largest of its kind outside China, as a standalone unit as part of ten-year, GenAI services agreement between with Microsoft.

    “Overall, the operators covered in the benchmark are making good progress towards a software-based operating model and with their development of enterprise digital services,” said Reed. “But their vertical markets focus is less advanced generally and is an area that needs more work.”

    FCC fines US mobile operators almost $200m for sharing location data 

    First mooted in 2020, the regulator’s decision will no doubt have other regulators watching closely

    The Federal Communications Commission fined the largest US mobile operators nearly $200 million for illegally sharing access to customers’ location information without consent and without taking reasonable measures to protect that information against unauthorised disclosure. 

    Sprint and T-Mobile – which have merged since the investigation began – face fines of more than $12 million and $80 million, respectively.  AT&T is fined more than $57 million, and Verizon is fined almost $47 million. 

    “Our communications providers have access to some of the most sensitive information about us.  These carriers failed to protect the information entrusted to them. Here, we are talking about some of the most sensitive data in their possession: customers’ real-time location information, revealing where they go and who they are,” said FCC chairwoman Jessica Rosenworcel.   

    “As we resolve these cases – which were first proposed by the last administration – the Commission remains committed to holding all carriers accountable and making sure they fulfil their obligations to their customers as stewards of this most private data,” she added.  

    The FCC Enforcement Bureau investigations of the four carriers found that each carrier sold access to its customers’ location information to “aggregators,” who then resold access to such information to third-party location-based service providers.  In doing so, each carrier attempted to offload its obligations to obtain customer consent onto downstream recipients of location information, which in many instances meant that no valid customer consent was obtained.   

    This initial failure was compounded when, after becoming aware that their safeguards were ineffective, the carriers continued to sell access to location information without taking reasonable measures to protect it from unauthorised access. 

    The investigations that led to the fines started following public reports that customers’ location information was being disclosed by the telcos without customer consent or other legal authorisation to a Missouri Sheriff through a “location-finding service” operated by Securus, a provider of communications services to correctional facilities, to track the location of numerous individuals.   

    Yet, according to the FCC, even after being made aware of this unauthorised access, all four carriers continued to operate their programmes without putting in place reasonable safeguards to ensure that the dozens of location-based service providers with access to their customers’ location information were actually obtaining customer consent.   

    It wasn’t me 

    The mobile operators said they plan to challenge the fines. 

    According to Reuters, T-Mobile said the FCC “decision is wrong, and the fine is excessive. We intend to challenge it.” 

    In a statement the operator added: “industry-wide third-party aggregator location-based services program was discontinued more than five years ago after we took steps to ensure that critical services like roadside assistance, fraud protection and emergency response would not be disrupted.” 

    Verizon told Reuters it had worked to protect customers: When “one bad actor gained unauthorised access to information relating to a very small number of customers, we quickly and proactively cut off the fraudster, shut down the program, and worked to ensure this couldn’t happen again.” 

    Meanwhile, AT&T criticised the order as lacking “both legal and factual merit. It unfairly holds us responsible for another company’s violation of our contractual requirements to obtain consent, ignores the immediate steps we took to address that company’s failures, and perversely punishes us for supporting life-saving location services.” 

    No doubt the operators are smarting as they compare the fines dished out by the FCC to what happened to Google when its Street View cars collecting personal data from wi-fi networks in a number of countries. 

    Nvidia buys AI edge cloud management company 

    The acquisition of GPU orchestration software provider Run:ai shows it wants the edge and the RAN

    Nvidia continues to cover all bases of the telco AI value chain after already positioning its vRAN solution as the anchor tenant for multipurpose edge cloud infrastructure. It is now spending $700m to acquire Israeli orchestration startup Run:ai which promotes efficient cluster resource utilization for AI workloads across shared accelerated computing infrastructure. 

    Run.ai’s forte is Kubernetes-based workload management and orchestration software, and the acquisition demonstrates Nvidia’s thinking on how the service provider edge will evolve – or at least how it wants the edge to evolve.  

    Run:ai enables enterprise customers to manage and optimize their compute infrastructure, whether on premises, in the cloud or in hybrid environments. The company has built an open platform on Kubernetes, the orchestration layer for modern AI and cloud infrastructure. It supports all popular Kubernetes variants and integrates with third-party AI tools and frameworks. 

    The start-up’s customers include some of the world’s largest enterprises across multiple industries, which use the Run:ai platform to manage data-centre-scale GPU clusters. 

    The Run:ai platform has some useful features too like the ability to pool GPUs and share computing power – from fractions of GPUs to multiple GPUs or multiple nodes of GPUs running on different clusters — for separate tasks. You can also add users, curate them under teams, provide access to cluster resources, control over quotas, priorities and pools, and monitor and report on resource use. 

    Nvidia said it will continue to offer Run:ai’s products under the same business model for the immediate future. And it will continue to invest in the Run:ai product roadmap, including enabling on Nvidia DGX Cloud, an AI platform co-engineered with leading clouds for enterprise developers, offering an integrated, full-stack service optimized for generative AI. 

    Telcos using Nvidia HGX, DGX and DGX Cloud will gain access to Run:ai’s capabilities for their AI workloads, particularly for large language model deployments. Run:ai’s solutions are already integrated with Nvidia DGX, DGX SuperPOD, Base Command, NGC containers, and its AI Enterprise software, among other products. 

     Keeping on top of AI ecosystem 

    Nvidia dominates the GPU market and that won’t change anytime soon. However, the silicon giant knows it needs to stay ahead of the pack and when it comes to telcos, custom chips are important given cloud computing and AI demands have grown increasingly specialised and that means tailored solutions to achieve optimal performance and better efficiency. Earlier this year Nvidia moved to head off the likes of AMD by establishing a separate business unit dedicated to building custom AI chips for external clients. 

    Around the same time, Nvidia announced it was forming the AI-RAN Alliance with the likes of heavyweights Ericsson, Nokia and Samsung. Nvidia believes that by consolidating their RAN workloads and other AI/ML applications onto a shared GPU platform, telcos can reduce hardware costs, simplify infrastructure and get more bang for the buck.  

    But using GPUs in RAN potentially means telcos could be locked-in to Nvidia’s ecosystem. However, as the founder and president of consultancy Mobile Experts Inc Joe Madden recently pointed out on LinkedIn, there is a bigger psychological barrier to Nvidia owning the RAN space: operators are unwilling to run their RAN workload on the same processor as anybody else’s Edge app.  

    “Somebody could deploy the GPUs in the edge, but the operators need to be convinced that they should run their L1/L2 on the Nvidia GPU, while other people use the same GPU for other purposes,” he said. “They are very risk-averse, so this is a challenge.” 

    Is AI the only way for 5G and automation?

    Partner content: Despite they hype around AI, many telco processes may not need it. Automation can be an incremental step on the way to AI, bringing immediate business benefits

    The telco industry knows that AI is essential for supporting 5G and for unlocking the significant B2B and B2B2C opportunities operators are targeting. But there is a danger of becoming obsessed with AI – many telco processes may not even require it. Automation offers an incremental step on the way to AI, while bringing immediate business benefits.

    There is no doubt that AI is the direction of travel for the telco industry, but that journey has only just begun. Sure, AI is essential for the successful automated operation of full 5G Standalone networks – but is it a prerequisite for automation in general? In this blog, we explore progress towards AI adoption – and consider how we can accelerate automation without AI.

    AI is key to unlocking the powerful benefits that the 5G Core is about to bring. The 5G network will be the most complex mobile infrastructure to date, offering the dynamic orchestration of services and network slices – each with their own performance and KPI parameters and demands – edge computing, virtualisation, and a whole new set of use cases.

    However, this will require AI-enabled automation to realise. That’s because machine-speed operation is required, with real-time, dynamic control – for which AI is required. AI also works hand-in-hand with Machine Learning (ML), which learns over time, enabling it to use the massive volumes of data generated by the 5G network to make decisions in real time based on multiple factors and variables, and to train itself over time leading to the optimisation of different processes and various outcomes.

    In sum, it will allow connected devices and machines, from smartphones to robotics to connected vehicles (and much more), to make their own decisions faster and more accurately than a human.

    AI can gather, categorise, group, and analyse data and identify patterns – impossible to see from a human perspective – and learn how to respond (improving over time) at a scale and speed never experienced before.

    What does AI bring to 5G?

    So, AI will unleash the potential of 5G SA. For example, AI will be able to collect, analyse and ‘understand’ data in real-time, enabling it to not only provide insights into network (and device and user) behaviour, but also use that data to make instant decisions that optimise network resources and dynamically allocate them to ensure that, for example, network slice KPIs and SLAs are met, or that mission-critical applications at the edge consistently meet performance requirements. Of course, over time AI will learn and improve (thanks to ML), and even find new ways of optimising the network.

    Automation delivers business benefits now

    It’s clear that the end goal is AI. However, it is imperative to understand that it is not the only way forward. Many telco processes and domains will not actually benefit from AI – this is where other forms of automation play a vital role – and are already doing so today. There’s plenty of scope to leverage automation before the full advent of AI-enabled processes.

    Indeed, there is a danger that operators will hold off on network optimisation projects while waiting for AI to mature. The truth is: Automation is providing rich and significant business benefits today, and it doesn’t have to be dependent on AI in many cases.

    Operators are securing significant benefits — today — by automating processes, sub-processes and by connecting different operating domains. Essentially, the right approach enables a step-by-step, incremental approach towards the ultimate goal of AI/Automation.

    There’s a huge amount that can be achieved without AI.  Automation is already a powerful tool that offers numerous and significant opportunities today. Many telco processes can be automated today, without AI. Automation uses reusable software that can already deliver significant efficiencies and reduced costs across multiple telco domains and processes.

    To find out more, explore key use cases, and make a start on your automation journey today, download the latest We Are CORTEX White paper here

    Can 5G private networks breathe new life into healthcare systems?

    Partner content: Healthcare is under tremendous pressure the world over and needs radical change, including being more efficient at adopting new solutions

    Healthcare is under tremendous pressure. There are several factors, but ageing populations, unhealthy lifestyles, pollution, and also, to some extent, the greater focus on preventative medicine and shocks like a major pandemic have led to an exponential increase in the demand for healthcare. This results in staff and resource shortages, ultimately increasing costs while making healthcare less accessible and affordable.

    In this scenario, to keep modern healthcare functioning properly, the industry needs to become radically different and more efficient in adopting new solutions. However, as we know, one cannot go about cutting corners in healthcare, so we should focus on finding smarter ways of working.

    What holds healthcare systems down?

    To understand how to help in such scenarios, let’s be specific about which current day-to-day situations might be holding healthcare back:

    • Unreliable communication – when mobile communications or Wi-Fi fail, the doctor is left without access to records, while operational coordination is disrupted, leading to negative patient outcomes.
    • Navigating complex hospital facilities – these are often confusing complexes full of people. Patients waste time getting lost, while staff also spends hours on basic wayfinding reaching people and/or critical equipment.
    • “Where’s that defibrillator?” Misplaced equipment is shockingly common. This isn’t just about keeping inventory costs down, it’s about potential delays in treatments when critical diagnostic equipment or critical sanitised tools aren’t available where and when they are needed.
    • Data in a silo – healthcare operations and the people who deliver and access them generate vast amounts of data, but this data is often not captured or used, making it a missed opportunity to improve efficiency, such as forecasting resources and staffing capacity, as well as process optimisation.
    • Security risks – patients’ data is highly sensitive. System breaches cannot happen as they threaten patient privacy and erode their trust in the healthcare system.
    • Can autonomous robots help us? Imagine small robots autonomously sanitising rooms and equipment or handing equipment to staff, freeing up medical staff from focusing on distracting non-critical activities. These activities imply robust connectivity and accurate positioning inside buildings that legacy systems cannot provide.

    How can 5G private networks help?

    So, how can an mobile private networks (MPNs), beyond traditional methods of providing connectivity (Wi-Fi, public cellular networks), meet the needs of modern healthcare?

    • Customised, fast, reliable network – tailored to specific healthcare needs, ensuring speed and dependability.
    • Enhanced security – ideal for safeguarding sensitive medical and patient information.
    • Support for innovation – mobile private enable the adoption of new technologies, processes, and methods, freeing up healthcare workers to focus on their core mission – patient care.


    That is why I believe 5G private networks can offer a new breath of life and hope for healthcare systems.

    Celfocus: our contribution focused on the main challenges

    There is certainly a long way to go before healthcare fully leverages all the benefits of 5G MPN. But we can start with the basics. At Celfocus we are already tackling two of the main pain points that hold back healthcare facilities from being more efficient:

    First, we need to start with secure and reliable connectivity that never lets people down. Common difficulties are:

    • Wi-Fi limitations when using shared spectrum, meaning that reliability is not guaranteed, thus making it unsuitable for critical medical data.
    • Limitations of public mobile networks, as 4G can be patchy indoors, especially in basement floors, and 5G signals have difficulty penetrating buildings.

    Secondly, we also want to provide accurate indoor location tracking. In this case, MPNs help us solve the following:

    • Tracking services are limited – they are expensive while failing to deliver multiple purposes.
    • Inflexible solutions – often tied to specific vendors and lacking pinpoint accuracy.
    • Precise accuracy – Wi-Fi’s 5–10-meter accuracy pales in comparison to 5G’s 30cm precision, enabling a whole new range of assistive technologies within healthcare facilities.[CP1] 

    The cost question

    5G offers exciting possibilities, but hospitals and healthcare systems are running on tight budgets. These are the strategies Celfocus is using to make MPNs financially viable:

    • Cloud homogenisation – implementing functions on the public cloud or with standardised telco cloud architectures that enable deploying and managing NFVs lifecycles from central to far edges.
    • Open standards’ compatibility – including O-RAN for more affordable private mobile access network implementations.
    • One-click deployment – making all of the required supported IT solutions components deployable with containerised “one-click”, both on public and private clouds.
    • Zero-touch operations – making the network autonomous, reducing the need for large operational teams to take care of the services and their underlying infrastructure.
    • Private Network-as-a-service (PNaaS) – Providing orchestrated services that automate, abstract, and enable self-serviced delivery and assurance.
    • 5G Monetisation – Enabling organisations to monetise both data and services available in their private networks.
    • Partnership ecosystems – Partnerships across different industries can drive cost-effective, industry-tailored solutions running on top of the private network.

    What benefits can we already achieve?

    • 82% E2E network automation from issue detection to resolution
    • 34% Cost Reduction in E2E VNF lifecycle management
    • 80% Decrease on new hardware rack provisioning
    • 20% Less hardware using the telco cloud
    • 40x Quicker configuration of RAN equipment
    • 90% Configuration error decrease

    Beyond healthcare

    Healthcare is a compelling case study as its needs are urgent. However, the benefits of MPNs are broader than any single industry. Imagine factories where quality control is automated or warehouses where inventory is practically self-managed. Celfocus, by focusing on making MPNs practical and affordable, is laying the foundations for a more interconnected and efficient future across multiple sectors.

    About the author

    João Miguel Antunes is Head of Autonomous Networks Offer at Celfocus. Committed to the creation of data-driven solutions, Celfocus collaborates with CSPs to deliver the maximum benefits in Network, IT and Service Operations.

    João focuses on developing autonomous networks solutions, making synergies between advanced analytics and orchestration & automation to boost digital network transformation towards zero-touch.

    João has spent over 19 years designing and delivering solutions for the Telco industry, tackling different business challenges, and gathering comprehensive Telco business know-how mainly in CRM and OSS stacks.

    Email: joao.miguel.antunes@celfocus.com

    Can Orange Business make the numbers add up for its techco transition?

    Aliette Mousnier-Lompré, CEO of the enterprise business unit since May 2022, talks to Annie Turner about her vision and its execution

    Aliette Mousnier-Lompré became CEO of what was Orange Business Services in May 2022 having been its interim head since January. Under the previous strategic plan, Engage2025, Orange Business Services’ strategic goal was to become an integrator, offering ICT to businesses seeking to digitalise by moving to the cloud and become more data-driven.

    And it made good progress: in 2015, digital capabilities had accounted for 29% of Orange Business Services’ activities which had risen to 44% in 2022, but revenues stagnated. Income from the new services was not making up for the erosion of the legacy ones, so in September 2022, Mousnier-Lompré announced her turnaround strategy.

    Her plans were expanded on at the Capital Markets Day in February 2023 when the group’s new strategic plan, Lead the future, was launched to take it to 2025.

    At that launch, Mousnier-Lompré pointed out at that the “operational execution challenges” involved in achieving strategic goals had translated into a 32% EBITDA decline for Orange Business Services over three years.

    Decisive overhaul

    Hence, she said, the situation “calls for a decisive overhaul of the Orange Business operating model”. The ‘Services’ was dropped from the unit’s name to signify “the simplification and the focus we want to achieve,” Mousnier-Lompré explained.  “We aim at being a leading and high-performing network and digital integrator. We clearly have the assets to do so, and we will adapt our operating model and cost structure accordingly. It will be done through a structured action plan on which we regularly report progress.”

    The annual earnings report released in February this year and the first quarter’s earnings report published in April show progress is on that front, but what about progress in operational terms and with the business model?

    Fundamentally, she wants to accelerate progress away from traditional telco’s product-oriented approach: “We need to move from this vertical model to a much more horizontal model, which is able to integrate connectivity and networks together with digital services to provide an end-to-end, digital transformation support to our customers,” she says. “Customers need this joint and integrated approach between infrastructure and digital services”.

    As she says, despite hyperscalers’ huge presence, offering Infrastructure-as-a-Service, “they don’t have the proximity we have with customers to understand [customers’] complexity, the end-to-end landscape between networks, cloud cybersecurity, data layer.

    “We make sure from the design phase that when systems are up and running, we can address specific issues, challenges and needs of those customers. Ultimately, we are very, very complementary to hyperscalers and there’s a lot we do together.”

    Enterprises want AI

    She also feels that developments in AI over the last 18 months confirms and strengthens her strategy. She says that enterprises want to use AI to improve productivity, their portfolios and customer experience, but many do not know where to start: “They are challenged at two levels. The first one is the quality of their data is not good enough to leverage AI. Secondly, their infrastructures are not ready for it because AI is not just an algorithm in the air, in isolation. It’s about how you put those algorithms onto clouds then how do you connect those clouds?”.

    She continues, “Our customers need partners and advisors to help them handle the infrastructure layer and the data layer, and that’s where we come in.” Indeed, just after this conversation took place, Orange Business launched new trusted GenAI offers to customers based in France.

    Many established AI use cases in operations that don’t need the generative variant, such as predictive maintenance designed to prevent incidents on the network. “Once we get an incident, GenAI capabilities can help the experts or agents to combine information from databases, from everywhere into the systems, identify the problem, and manage the incident,” Mousnier-Lompré explains.

    Source of growth

    Her view is, “The more we use [AI] internally, the more legitimate we are to advise and leverage it for customers. We use AI in three dimensions: for our own internal needs; to power up our own products and services, for instance, to improve quality of service in our networks and give customers better observability of their services; and we acquired key digital services companies in the past few years around the in the data and AI space, so we provide AI consulting solutions to our customers, especially in France and in Europe.”

    She says, “So we have close to 4,000 experts in data and AI,” and “we plan to ramp up this activity, which…is growing fast and the profitability is pretty good. It’s one of our growth engine for the future.”

    Which uses case will be critical? Mousnier-Lompré says all thinking about AI-related use cases within Orange Business is around, “What kind of value do [customers] want to create? We ideate around those use cases then we bring the right advisory and consulting services to help them to structure the data and protect the data, to bring those use cases to life at the data layer.”

    Modular future

    In tandem, Orange Business is adopting a modular approach to products using microservices as part of its horizontal platform strategy, “and to have all those microservices in the right architecture with the right APIs in the right containers, so that we gain agility from that shift to cloud native”.

    Accelerating that shift is a key focus for Mousnier-Lompré. Hriday Ravindranath was appointed CTIO of Orange Business in May 2023, joining from BT. As of the beginning of January this year, the business unit had halved the number of products on offer. She says, “We are rethinking really deeply, [not only our] product portfolio, but the full IT and digital architecture.”

    Another key aspect of being more agile is shorter lifecycles for product development. “One concrete example is we have virtualised our global backbone in the past year. Now we can open it to partners, and host their technology on our backbone,” she states. They manage the releases of their solutions themselves using APIs.

    Previously this created huge amounts of work for Orange Business’ engineers, now it’s done much faster within a fully managed package. Partners include Cisco, Palo Alto and Fortinet.

    Legacy challenges

    Legacy technology remains challenging, “We have a lot to do internally in terms of changing the skills, changing the culture or changing our pricing models. It’s a very long journey. We are in the middle of it,” she says.

    There are still many vertical stacks and “we have an extreme variety of applications and IT systems. It’s as if each product manager built their own IT stack and its own ordering and billing systems, quotation tools and so on. What we are doing now with Usman [Javaid, PhD, who joined the unit as Chief Products and Marketing Officer in April last year] is a product portfolio reshaping.

    “We want customers to come onto our portals and have the right experience when asking for a quotation…then ordering and having all the information available. It means we need a unified IT stack, with one reference in mind – the customer journey.

    “We have designed this, done the theory, now we are moving to practice. We’ve launched a series of RFPs to the market to reshape everything we do. We’ll go with some big SaaS players and we’re working with an IT integrator to rebuild a modular, greenfield IT stack. We’ll need probably need two or even three years to rebuild all of this in the right way.

    But won’t it be legacy by then? “The whole challenge of readying of the entire company is to make sure that we build something which is future proof – modular and open – so that it will not be legacy in three years.”

    API leader?

    APIs are key to this modularity. Is Orange Business ahead of the pack in its use of APIs? Mousnier-Lompré stresses her company’s participation in TM Forum’s API initiative and CAMARA, but thinks in some areas it is ahead, such as in their use outlined above with the virtualised global backbone, using open source on commoditised hardware for voice by decoupling the architecture and in secure B2B connectivity.

    She cites Gartner’s long-standing recognition of its leadership concerning secure B2B connectivity in its Magic Quadrant and adds, “We are improving over time in terms of differentiating versus our competition”.

    She stresses that 5G Standalone is an inherent part of that platform vision. Mousnier-Lompré muses, “We are slowly but surely getting to the more major phase of the growth and return on investment for clients…although we had all those question marks around 5G. It’s not about technology, it’s about use cases, it’s about the value you create.

    “We see a lot of the so-called smart industries or industrial 5G cases coming, but it’s not about 5G alone, it’s 5G combined with cloud at the edge, combined with IT and OT and cybersecurity, combined with AI, combined with the ability to integrate all of this into a single project encompassing all those technologies.

    “So we see our pipe[line] picking up. We are working with customers at the moment to create value by combining various technologies.”

    In conclusion

    She concludes, “We describe ourselves as a network and digital integrator, having this legitimacy to orchestrate the infrastructures across what we call the three C’s – connectivity, cloud and cybersecurity – and orchestrating those infrastructures together with a data layer on top. We help our customers structure the data to get fit for purpose networks to address their needs.

    All of this requires a huge transformation, in terms of operating models, culture and skills, but after now, almost one year and a half after launching our strategy and the Lead the Future plan, we are absolutely on track maybe even a bit ahead of the plan. I am very, very optimistic for the future.”

    SES announces O3b mPOWER constellation is ready for service

    However, the European satellite operator is still grappling to overcome the power issues impacting its fleet

    In what should have been a big day of celebration, SES announced that its medium Earth orbit (MEO) O3b mPOWER software-enabled satellite constellation was now operational and ready to provide connectivity services around the globe, ranging from tens of Mbps to multiple gigabits per second.  

    However, the day was tinged with some disappointment given the constellation has been dealing with power module issues on its Boeing satellites, leading to a delayed go-live of around four months.  

    In its third quarter 2023 results call last October, SES noted that the electrical “trip-offs”, first noticed in August, in the existing fleet had increased with a few becoming non-recoverable events, according to Via Satellite. As a result, the initial satellites would see a “significant reduction” in their expected lifetime and available capacity, according to the company.  

    SES went to work with Boeing to upgrade the five yet-to-launch satellites and the two companies agreed to add two further satellites to the constellation – after agreeing to share the risk and the capex. No doubt nervous satellite insurance brokers and watching closely to see what impact the power issues will have on the longevity of the constellation.  

    To date, SES has launched six out of 13 O3b mPOWER satellites, which together with strategically located satellite ground stations, enable SES to serve customers across multiple market segments around the world. With the O3b mPOWER system now operational, SES strengthens its unique MEO network capabilities by complementing its O3b constellation. SES expects to launch the next two O3b mPOWER satellites in late 2024. 

    The operator likes to point out that it now offers GEO, MEO and low Earth orbit (LEO) solutions – the latter through strategic partnerships.  

    “We are very excited that O3b mPOWER is now ready to serve our customers around the world. Over the last few years, our SES team, along with our technology partners across space and ground segments, have worked tirelessly to bring our O3b mPOWER system online. I’m proud to say that all the core infrastructure is deployed, tested and ready on a global basis,” said new SES’s CEO Adel Al-Saleh (above).  

    “The demand for O3b mPOWER solutions is very high, and this moment has been long-awaited by our customers. Over the coming weeks we will work with our mobility, government, enterprise and cloud customers on O3b mPOWER onboarding plans,” he said. We’re eager to empower their operations with reliable, high-performance, and secure services.” 

    Swisscom slams regulator’s decision on its fibre rollout 

    The telco finds COMCO’s decision “incomprehensible” and says it will lead to higher fibre rollout costs

    Swisscom has defended its decision to adopt a point-to-multipoint (P2MP) topology between the exchange and local cable duct (manhole), which it began using in 2020, as “the right one”. The announcement came after Swiss regulator Competition Commission (COMCO) fined Swisscom CHF 18 million for what it deemed unlawful conduct in the optical fibre expansion.  

    In addition to the fine, COMCO imposed “clear guidelines” on Swisscom for the expansion of its fibre optic network: “so that third parties can jointly use the fibre optic network infrastructure.” 

    At the start of 2020, Swisscom changed the way it built its fibre optic network. With this new network design, COMCO said competing companies would no longer have direct access to the network and would only be able to sell Swisscom services under their own name. By changing its network construction strategy, Swisscom prevented competing companies from accessing the fibre optic network and thus violated cartel law.  

    Since December 2020, COMCO has been investigating the extent to which P2MP topology impedes competition. Alongside the investigation, it ordered precautionary measures, preventing Swisscom, other than in a few exceptional cases, from putting any P2MP connections into operation and marketing them. Swisscom challenged these measures before the Federal Court, which, in its judgement of 29 November 2022, nevertheless upheld the measures imposed by COMCO. 

    It is COMCO’s view that Swisscom’s expansion of the fibre-optic network should only be permitted to continue in point-to-point (P2P) topology. Swisscom said the consequence of COMCO’s decision is that the expansion will take “much longer and involve significantly higher costs, especially in rural areas.” It added it found the decision “incomprehensible.” 

    P2P or not P2P? 

    COMCO subsequently prohibited Swisscom from making this modification from the end of 2020. The regulator said Swisscom would otherwise have modified the existing market structure and would have “created a de facto monopoly”. It stated: “Competing companies would have been deprived of a large part of their innovation possibilities and commercial opportunities, and consumers as well as commercial customers would have been severely limited in their choice of supplier and in the diversity of products.” 

    Not so, said Swisscom, arguing that all competitors would have been able to “obtain a data stream from Swisscom for a specific connection on non-discriminatory terms, enabling them to continue to offer a full and competitive range of services, including telephony, Internet and TV.” 

    In Swisscom’s view: “P2MP is the most efficient and cost-effective way for FTTH to be rolled out in Switzerland. Moreover, P2MP topology is the prevailing architecture for the FTTH rollout in most EU states. It is accepted by the regulatory authorities and considered compliant with anti-trust law. It is for this reason that Swisscom considers its conduct fair under competition legislation.” 

    More work needed 

    As previously announced in October 2022, to counteract the stalled optical fibre expansion and ensure that third-party providers have the layer-1 access required by COMCO, Swisscom will install new fibre connections as before, using the point-to-point (P2P) architecture endorsed by COMCO and convert existing P2MP connections to P2P. 

    As a result of the decision, Swisscom said the expansion is still mostly assured in line with the Swisscom network strategy, even though the expansion with P2P is more laborious, will involve more civil engineering work and will bring delays – especially for rural communities. “Proceeding with P2P means that, by 2030, up to 10% fewer households will have optical fibre access than would have been possible with P2MP, and the FTTH expansion will be completed several years later than originally planned,” stated the carrier. 

    However, COMCO believes that the financial and time savings are not sufficient to compensate for the “elimination of competition over several generations”. The regulator scathingly pointed out: “Until now, the most significant innovations and price reductions in the fibre-optic network have come from competing companies, not Swisscom. This would not have been possible in the future.” 

    The telco said its financial outlook for the 2024 financial year remains unchanged as it had factored COMCO’s ruling into its planning and made appropriate provisions. Swisscom reserves the right to appeal the decision before the Federal Administrative Court. 

    T-Mobile US enters fibre JV to acquire Lumos, extend footprint

    Assuming the transaction clears all the necessary hurdles, the operator expects to invest $1.45bn in deploying fibre infrastructure by 2028 via the JV

    T-Mobile US and investment house EQT have entered into a joint venture with EQT’s Infrastructure VI fund (EQT). The JV will acquire FTTH platform Lumos from EQT’s predecessor fund, EQT Infrastructure III.    

    Lumos’ infrastructure reaches 320,000 households having deployed some 7,500 miles of fibre and home Wi-Fi service in the Mid-Atlantic. After the transaction is completed, it will adopt a wholesale model with T-Mobile as the anchor tenant.

    T-Mobile is Deutsche Telekom’s US subsidiary, which helped propel the former German incumbent to a market capitalisation above €100 billion in January 2023. It is the first European operator group to breach that threshold.

    Once complete

    At closing, T-Mobile is expected to invest about $950 million (€886.4 million) in the JV to acquire a 50% equity stake and all existing fibre customers. The funds invested by T-Mobile will be used by Lumos for future fibre builds.

    The next capital contribution by T-Mobile out of an additional commitment of about $500 million is expected between 2027 and 2028. The JV will focus on identifying and choosing markets, network engineering and design, network deployment and installations for customers.

    The combined investments should allow Lumos to pass 3.5 million homes by the end of 2028.

    The transaction is expected to close in late this year or early next, subject to customary closing conditions and regulatory approvals.

    Current customer base

    T-Mobile provides connectivity to homes and businesses across through fixed wireless access on its 5G network. The service is available to more than 50 million households and businesses nationwide and serves over 5 million customers.

    It also operates T-Mobile Fiber which has begun deployment in parts of 16 US markets. This has revealed the demand for the reliability and speed of fibre-based broadband.

    With this transaction, EQT Infrastructure VI is expected to be 35-40% invested (including closed and/or signed investments, announced public offers, if applicable, and less any expected syndication) based on target fund size and subject to customary regulatory approvals.

    High demand for fibre

    Mike Sievert, CEO of T-Mobile said in a written statement, “As the demand for reliable, low-latency connectivity rapidly increases, this deal is a scalable strategy for T-Mobile to take a significant step forward in expanding on our broadband success and continue shaking up competition in this space to bring even more value and choice to consumers.

     “With EQT and Lumos, T-Mobile is building on our position as the fastest growing broadband provider in the country in a value-accretive way that complements our sustained growth leadership in wireless.”

    New phase

    Jan Vesely, Partner within EQT’s Infrastructure Advisory Team commented, “We are proud to have partnered with Lumos over the past six years to rapidly scale the company and roll out fiber to underserved markets, and we look forward to continuing to leverage EQT’s considerable digital infrastructure and fiber expertise to support the significant fiber buildout ambitions of T-Mobile and the JV.

    “This new effort will build critical fiber broadband infrastructure that will enable remote work, education, and healthcare use cases across the country. We have worked with T-Mobile as a customer across many of our existing digital infrastructure investments and are delighted to build on that relationship and partner with T-Mobile on this opportunity to roll out fiber to underserved Americans.”

    Brian Stading, CEO of Lumos, added, “With the support of our private equity partner, EQT, and leveraging the strength of the T-Mobile brand and unrivaled customer experience, Lumos is set to expedite our network expansion. This joint venture will amplify our ability to change lives through the transformative power of fiber optic internet.”

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