Tag: automation

Generative AI and beyond: Preparing for future A3

Generative AI and other technology changes

Previous work in 2020 (the basis of our report, Telco A3: Skilling up for the long term published in January 2021) uncovered four areas of A3 impact that will shape a telco into the mid and longer term. Since then, new internal and external consequences have emerged from both the telco’s and its customers’ adoption of A3, as well as changes around the underpinning technology that a telco will need to deploy – in addition to A3-induced shifts in organisational shape and focus.

 Four main areas of A3 impact

Source: Charlotte Patrick Consult, STL Partners

The figure below details the main A3 activities inside these four areas, shown against an approximate timeline which stretches from the short term into the longer term. This report addresses these activities, including thing as customer, decision intelligence, generative AI and digital immunity (as shown in the red boxes in the figure below), which we pay particular attention to due to the current high interest in the area and/or the significance of their expected future impact.

A3 activity areas for telcos

Source: Charlotte Patrick Consult, STL Partners

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Augmented customer experience

New A3 is used to provide support for unassisted (digital) and assisted (human agent) interactions between the telco, the telco’s customers or ecosystem partners and the telco’s supplier or partners. The figure below shows the increasing complexity of these interactions: the grey dashed lines show current interactions which are mostly human-to-human; the coloured lines show new machine interactions either for care purposes (orange) or for purchasing (red).

Entities in the new customer ecosystem

Source: Charlotte Patrick Consult, STL Partners

The newest area for telcos is the introduction of interacting with a “thing”. This is defined as a piece of user equipment (typically, a connected device or sensor or even a bot) that can interact with the telco to request care or make a purchase. The figure above shows the other entities within the environment.

  • Centralised purchasing bot: Designed to purchase goods and services on behalf of a company or individual.
  • Embedded intelligence: Intelligence added into a thing which takes it from being able to make simple requests (“I need help”) towards being able to collect data from multiple sources and create more sophisticated requests (the infamous smart refrigerator ordering groceries). Embedded intelligence in the telco network may also be able to receive more complex requests and prescribe/execute remedies in downstream systems.
  • General consumer bot: Amazon Alexa, for example.
  • Contact centre botand sales bot: These interact with humans or machines to provide help or take an order.

 

Table of Contents

  • Executive Summary
    • Developing A3 will significantly impact telcos in four areas
    • Preparatory actions for telcos
    • Activity streams: A summary
  • Introduction
  • Augmented customer experience
    • Main concepts
    • Thing as customer: The significance for telcos
    • Next steps for telcos in augmented customer experience
  • Augmented experts
    • Main concepts
    • Decision intelligence: The significance for telcos
    • The next steps for telcos in augmented experts
  • Intelligent automation
    • Main concepts
  • AI design
    • Main concepts
    • Generative AI: The significance for telcos
    • The next steps for telcos in AI design
  • Smarter customers
    • Main concepts
    • The next steps for telcos in supporting smarter customers
  • Increasing intelligence
    • Main concepts
    • The next steps for telcos in increasing intelligence
  • Trust, value generation and skills
    • Main concepts – trust
    • Main concepts – value generation
    • Main concepts – skills
    • Digital immunity: The significance for telcos
    • The next steps for telcos in trust, value generation and skills
  • Conclusion
  • Index

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What do enterprises want from telcos?

Enterprises are striving for success…

All enterprises want success. The language and specifics that define this may differ across sectors – but the underlying drivers are the same. They include financial, strategic, operational and market-facing factors, as described below.

Success drivers

enterprise

Source: STL Partners

…against a new, transformed backdrop

Demand and supply forces have changed: Customers expect more, but resources are increasingly constrained. Enterprises are pondering the range of new technologies and practices to help them meet the challenges of a Coordination Age:

  • Coordinating outcomes and experiences for customers
  • Collaborating to enable the delivery of more value
  • Bridging the digital and physical worlds

The Coordination Age

Enterprise

Source: STL Partners

Telcos’ national scope and assets mean they are well placed to participate in some of the new opportunity areas of the Coordination Age. Although technologies and applications running over the telcos’ connectivity are often developed at global scale, how they are implemented within local and national markets is likely to vary from one country to the next, owing to regulatory constraints and how these have shaped the structure and priorities of the market. Telcos can help enterprises navigate this path.

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Do enterprises believe telcos can help?

What enterprises think of telcos depends on their tech maturity, their knowledge and experience of telcos, the telcos’ technology capability and the sector that they are in, as shown below.

Factors influencing enterprise consideration

 

enterprisesSource: STL Partners

Telcos must work to understand enterprise needs in their specific markets and how they are best placed to serve those needs.

Table of contents

  • Executive summary
  • Introduction
  • Understanding telco enterprise strategies
  • Seven enterprise growth opportunities

Related research

STL Partners has a research solution focused on growing enterprise revenues. Reports that could be of interest include:

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The data-driven telco: How to progress

Becoming data-driven is an evolving journey

Telcos have started on the path to leveraging data more fully but techniques, technologies and their implications are continuously emerging and evolving – posing new opportunities and challenges for the teams responsible for plotting their course.

Although somewhat overused, the “data-driven” refrain provides a banner under which the Chief Data Officer (CDO) and other teams throughout the telco can remind the organisation of the importance of the work that they are doing.  As new technologies become available and capabilities such as automation progress in their sophistication, there will continue to be a steady stream of demands on the data team from across the organisation.  There will also be an increase in demand from outside the organization as telcos begin to play in multiple new ecosystems.

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STL Partners conducted primary and secondary research to determine the current priorities for telcos that have progressed some way down the data-driven track.  During our primary research, we spoke to four Chief Data Officers (CDOs) – or equivalent – at Orange, Zain, Telefónica and Vodafone and asked them about their core focus areas in the short- and mid-term and how they were driving forward the data-driven telco agenda. Topics for discussion included:

  • Their vision and expected future strategy
  • Their current focus areas
  • The work that they are undertaking to improve organisational structure and culture
  • Their priorities for future technology roll out.

As shown in the figure below, we note that some areas of priority remain unchanged from previous years and continue to be a focus in 2023, while new ones (shown in red) are appearing on the horizon.

Priorities for the CDO and their team

Roles of data-driven telco CDO

Source: STL Partners

Priorities are evolving from being focused specifically on accessing data and other relatively discrete A3 projects, to much more strategic and organisation-wide activities. As such, the scope of the CDO role is expanding.

Table of contents

  • Executive Summary
    • Recommendations
    • Vision and strategy
    • Organisation and culture
    • Technology
    • Next steps
  • Introduction
  • Priority 1: Select the right internal focus
    • How to select the most impactful projects
    • How to maintain a pipeline of successful projects
  • Priority 2: Create a joined-up organisation
    • A joined-up organization structure
    • Promoting the data culture
    • Skill sets of the Chief Data Officer (CDO)
  • Priority 3: Delivering a useable data set
    • Building a long-term data quality practise
    • Hybrid-cloud data deployment
  • Priority 4: Building data tools for all
  • Conclusion

Related research

 

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Driving sustainability in telco metro networks

Against the backdrop of the recent energy crisis, there is a new sense of urgency around energy consumption and sustainability. Enterprises are doubling down on their green targets, in many cases accelerating plans for an ambitious endgame – net-zero emissions. As we have covered extensively in previous reports, the telecommunications industry is not an exception to this. In this report we explore how telcos can drive sustainability in their metro networks.

Telecoms operators face a particular challenge in that they have experienced and anticipate future high levels of growth in traffic (20% to 40% per annum). Furthermore, consumption patterns are changing with even higher levels of traffic growth originating and terminating within the metro network. The metro network (sometimes referred to as access and aggregation) is the section of communications service providers’ (CSPs) network between the last-mile access and the core backbone. STL Partners estimates that metro network traffic will increase threefold to 2030. This is driven by:

  • growth in demand for increasingly immersive user services
  • proliferation in high-bandwidth connections to machines, vehicles and sensors
  • the deployment of multi-edge compute (MEC) infrastructure and applications
  • the need to support next-generation services to support the above.

In light of CSPs’ net-zero commitments, the significant growth in traffic across the metro network makes it imperative to drive down energy use and associated emissions (including embedded greenhouse gas emissions) to make the metro network sustainable. The challenges faced in the metro network are not dissimilar from those faced by cloud providers – massive growth in scale coupled with ambitious sustainability commitments. While cloud providers have already been addressing these challenges, operators have typically been further behind. Our research, therefore, sought to address the question:

How should operators better incorporate energy and sustainability goals into their metro networks: applying cloud principles and lessons from leading operators?

To understand telcos’ sustainability efforts, we conducted an interview programme with key decision-makers at Tier-1 and Tier-2 operators across North America and Europe. We focused our conversations on telco networks and how they are designed, built and maintained to address both near and long-term sustainability challenges, with a special interest in operators’ metro networks.

In the interviews, we asked operators about their strategies to reduce Scope 1 to 3 emissions, which are defined as:

  • Scope 1 emissions: Direct emissions from day-to-day operations, e.g. fuel combustion, coolant leakages
  • Scope 2 emissions:Indirect emissions from electricity suppliers, e.g. to power metro networks and facilities-supporting infrastructure (heating, aircon, uninterruptible power supply, etc.)
  • Scope 3emissions: Indirect (non-energy) emissions e.g., embedded carbon from suppliers of equipment and services (e.g., civil works, equipment in metro locations, trucks).

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Classification of greenhouse gas emissions reporting

The interviews confirmed our initial hypothesis: sustainability is a growing concern for operators and there is significant work to do:

  • All operators in our interview programme confirmed that they are on a path towards decarbonisation, but where they are on their journeys varies significantly from operator to operator and from region to region.
  • European operators tend to have more established approaches to sustainability and are particularly focused on energy use given the current energy crisis affecting the region:
    • Going green is both a cost imperative as well as ‘the right thing to do’ for European operators, in addition to the stringent regulatory environment in which they operate.
    • On the one hand, this is a positive change as it has raised the profile of energy efficiency which is now increasingly seen as an executive-level agenda item.
    • However, there is also a hidden impact: telcos are pushing hard on energy and Scope 2 But at the same time, this has deferred the operators’ efforts to reduce their embedded (Scope 3) emissions which is the biggest contributor to their overall carbon footprint (Scope 3 accounts for 80% to 95% of most operators’ total emissions).
  • The North American operators were less focused on the cost of energy, and therefore in reducing it through greater efficiencies, but nonetheless were aware of the need to meet the ambitious net-zerotargets that they have set.

In this report, we will discuss our learnings from closely watching the industry and speaking to the leaders driving operators’ efforts. The four main sections of this report discuss what we are referring to as common practice, best practice, and next practice strategies and actions that operators are pursuing to meet their sustainability goals, with a particular emphasis on their activities within the metro network. For operators to meet their targets, they will need to go beyond the low-hanging fruit of common practice and focus on the additional initiatives they will need to start adopting. Operators already undertaking best practice initiatives should focus on next practice. Less mature operators should take lessons from those further ahead in their net-zero strategies and aim to cover the best practice initiatives of their peers. All operators can also borrow concepts from other industries, notably cloud providers. Ultimately, without taking on the tougher challenges in their access and metro networks, operators will miss their net-zero goals.

 

Table of contents

  • Executive Summary
  • Introduction
  • Common practice: Where are metro network operators focusing their sustainability efforts?
  • Best practice: Applying cloud principles to metro networks
  • Next practice: What future measures need to be incorporated into current thinking?
  • Recommendations for operators: Identifying the right tools and methodologies

 

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Telco digital twins: Cool tech or real value?

Definition of a digital twin

Digital twin is a familiar term with a well-known definition in industrial settings. However, in a telco setting it is useful to define what it is and how it differs from a standard piece of modelling. This research discusses the definition of a digital twin and concludes with a detailed taxonomy.

An archetypical digital twin:

  • models a single entity/system (for example, a cell site).
  • creates a digital representation of this entity/system, which can be either a physical object, process, organisation, person or abstraction (details of the cell-site topology or the part numbers of components that make up the site).
  • has exactly one twin per thing (each cell site can be modelled separately).
  • updates (either continuously, intermittently or as needed) to mirror the current state of this thing. For example, the cell sitescurrent performance given customer behavior.

In addition:

  • multiple digital twins can be aggregated to form a composite view (the impact of network changes on cell sitesin an area).
  • the data coming into the digital twin can drive various types of analytics (typically digital simulations and models) within the twin itself – or could transit from one or multiple digital twins to a third-party application (for example, capacity management analytics).
  • the resulting analysis has a range of immediate uses, such as feeding into downstream actuators, or it can be stored for future use, for instance mimicking scenarios for testingwithout affecting any live applications.
  • a digital twin is directly linked to the original, which means it can enable a two-way interaction. Not only can a twin allow others to read its own data, but it can transmit questions or commands back to the original asset.

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What is the purpose of a digital twin?

This research uses the phrase “archetypical twin” to describe the most mature twin category, which can be found in manufacturing, operations, construction, maintenance and operating environments. These have been around in different levels of sophistication for the last 10 years or so and are expected to be widely available and mature in the next five years. Their main purpose is to act as a proxy for an asset, so that applications wanting data about the asset can connect directly to the digital twin rather than having to connect directly with the asset. In these environments, digital twins tend to be deployed for expensive and complex equipment which needs to operate efficiently and without significant down time. For example, jet engines or other complex equipment. In the telco, the most immediate use case for an archetypical twin is to model the cell tower and associated Radio Access Network (RAN) electronics and supporting equipment.

The adoption of digital twins should be seen as an evolution from today’s AI models

digital-twins-evolution-of-todays-ai-models-stl-partners

*See report for detailed graphic.

Source: STL Partners

 

At the other end of the maturity curve from the archetypical twin, is the “digital twin of the organisation” (DTO). This is a virtual model of a department, business unit, organisation or whole enterprise that management can use to support specific financial or other decision-making processes. It uses the same design pattern and thinking of a twin of a physical object but brings in a variety of operational or contextual data to model a “non-physical” thing. In interviews for this research, the consensus was that these were not an initial priority for telcos and, indeed, conceptually it was not totally clear whether the benefits make them a must-have for telcos in the mid-term either.

As the telecoms industry is still in the exploratory and trial phase with digital twins, there are a series of initial deployments which, when looked at, raise a somewhat semantic question about whether a digital representation of an asset (for example, a network function) or a system (for example, a core network) is really a digital twin or actually just an organic development of AI models that have been used in telcos for some time. Referring to this as the “digital twin/model” continuum, the graphic above shows the characteristics of an archetypical twin compared to that of a typical model.

The most important takeaway from this graphic are the factors on the right-hand side that make a digital twin potentially much more complex and resource hungry than a model. How important it is to distinguish an archetypical twin from a hybrid digital twin/model may come down to “marketing creep”, where deployments tend to get described as digital twins whether they exhibit many of the features of the archtypical twin or not. This creep will be exacerbated by telcos’ needs, which are not primarily focused on emulating physical assets such as engines or robots but on monitoring complex processes (for example, networks), which have individual assets (for example, network functions, physical equipment) that may not need as much detailed monitoring as individual components in an airplane engine. As a result, the telecoms industry could deploy digital twin/models far more extensively than full digital twins.

Table of contents

  • Executive Summary
    • Choosing where to start
    • Complexity: The biggest short-term barrier
    • Building an early-days digital twin portfolio
  • Introduction
    • Definition of a digital twin
    • What is the purpose of a digital twin?
    • A digital twin taxonomy
  • Planning a digital twin deployment
    • Network testing
    • Radio and network planning
    • Cell site management
    • KPIs for network management
    • Fraud prediction
    • Product catalogue
    • Digital twins within partner ecosystems
    • Digital twins of services
    • Data for customer digital twins
    • Customer experience messaging
    • Vertical-specific digital twins
  • Drivers and barriers to uptake of digital twins
    • Drivers
    • Barriers
  • Conclusion: Creating a digital twin strategy
    • Immediate strategy for day 1 deployment
    • Long-term strategy

Related research

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MWC 2023: You are now in a new industry

The birth of a new sector: “Connected Technologies”

Mobile World Congress (MWC) is the world’s biggest showcase for the mobile telecoms industry. MWC 2023 marked the second year back to full scale after COVID disruptions. With 88k visitors, 2,400 exhibitors and 1,000 speakers it did not quite reach pre-COVID heights, but remained an enormous scale event. Notably, 56% of visitors came from industries adjacent to the core mobile ecosystem, reflecting STL’s view that we are now in a new industry with a diverse range of players delivering connected technologies.

With such scale It can be difficult to find the significant messages through the noise. STL’s research team attended the event in full force, and we each focused on a specific topic. In this report we distil what we saw at MWC 2023 and what we think it means for telecoms operators, technology companies and new players entering the industry.

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STL Partners research team at MWC 2023

STL-Partners-MWC23-research-team

The diversity of companies attending and of applications demonstrated at MWC23 illustrated that the business being conducted is no longer the delivery of mobile communications. It is addressing a broader goal that we’ve described as the Coordination Age. This is the use of connected technologies to help a wide range of customers make better use of their resources.

The centrality of the GSMA Open Gateway announcement in discussions was one harbinger of the new model. The point of the APIs is to enable other players to access and use telecoms resources more automatically and rapidly, rather than through lengthy and complex bespoke processes. It starts to open many new business model opportunities across the economy. To steal the words of John Antanaitis, VP Global Portfolio Marketing at Vonage, APIs are “a small key to a big door”.

Other examples from MWC 2023 underlining the transition of “telecommunications” to a sector with new boundaries and new functions include:

  • The centrality of ecosystems and partnerships, which fundamentally serve to connect different parts of the technology value chain.
  • The importance of sustainability to the industry’s agenda. This is about careful and efficient use of resources within the industry and enabling customers to connect their own technologies to optimise energy consumption and their uses of other scarce resources such as land, water and carbon.
  • An increasing interest and experimentation with the metaverse, which uses connected technologies (AR/VR, high speed data, sometimes edge resources) to deliver a newly visceral experience to its users, in turn delivering other benefits, such as more engaging entertainment (better use of leisure time and attention), and more compelling training experiences (e.g. delivering more realistic and lifelike emergency training scenarios).
  • A primary purpose of telco cloud is to break out the functions and technologies within the operators and network domains. It makes individual processes, assets and functions programmable – again, linking them with signals from other parts of the ecosystem – whether an external customer or partner or internal users.
  • The growing dialogues around edge computing and private networks –evolving ways for enterprise customers to take control of all or part of their connected technologies.
  • The importance of AI and automation, both within operators and across the market. The nature of automation is to connect one technology or data source to another. An action in one place is triggered by a signal from another.

Many of these connecting technologies are still relatively nascent and incomplete at this stage. They do not yet deliver the experiences or economics that will ultimately make them successful. However, what they collectively reveal is that the underlying drive to connect technologies to make better use of resources is like a form of economic gravity. In the same way that water will always run downhill, so will the market evolve towards optimising the use of resources through connecting technologies.

Table of contents

  • Executive Summary
    • The birth of a new sector: ‘Connected technologies’
    • Old gripes remain
    • So what if you are in a new industry?
    • You might like it
    • How to go from telco to connected techco
    • Next steps
  • Introduction
  • Strategy: Does the industry know where it’s going?
    • Where will the money come from?
    • Telcos still demanding their “fair share”, but what’s fair, or constructive?
    • Hope for the future
  • Transformation leadership: Ecosystem practices
    • Current drivers for ecosystem thinking
    • Barriers to wider and less linear ecosystem practices
    • Conclusion
  • Energy crisis sparks efficiency drive
    • Innovation is happening around energy
    • Orange looks to change consumer behaviour
    • Moves on measuring enablement effects
    • Key takeaways
  • Telco Cloud: Open RAN is important
    • Brownfield open RAN deployments at scale in 2024-25
    • Acceleration is key for vRAN workloads on COTS hardware
    • Energy efficiency is a key use case of open RAN and vRAN
    • Other business
    • Conclusion
  • Consumer: Where are telcos currently focused?
    • Staying relevant: Metaverse returns
    • Consumer revenue opportunities: Commerce and finance
    • Customer engagement: Utilising AI
  • Enterprise: Are telcos really ready for new business models?
    • Metaverse for enterprise: Pure hype?
    • Network APIs: The tech is progressing
    • …But commercial value is still unclear
    • Final takeaways:
  • Private networks: Coming over the hype curve
    • A fragmented but dynamic ecosystem
    • A push for mid-market adoption
    • Finding the right sector and the right business case
  • Edge computing: Entering the next phase
    • Telcos are looking for ways to monetise edge
    • Edge computing and private networks – a winning combination?
    • Network APIs take centre stage
    • Final thoughts
  • AI and automation: Opening up access to operational data
    • Gathering up of end-to-end data across multiple-domains
    • Support for network automations
    • Data for external use
    • Key takeaways

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The state of telco transformation

There are two possible interpretations of the phrase “the state of transformation”:

  1. How is transformation going at telcos, i.e. where are telcos on the path to transformation
  2. The condition of transformation, i.e. what does it mean to be in the process of transforming.

Over the summer of 2022, STL Partners carried out nine in-depth interviews with telco employees that were involved in influencing, coordinating, or implementing large change projects at their organisations. These change makers came from various disciplines: Strategy, HR, Transformation project management, Networks, Technology, as well as Research. Our first intention was to illuminate the first interpretation (where are telcos on the path to
transformation), but our findings suggest that transformation paths (and indeed end states) are unique to each operator, making it difficult to compare progress between telcos.

No one path – overlapping changes in multiple areas

Source: STL Partners

We have mainly come away with findings on the latter point – identifying the types of change initiatives underway and the challenges that change-makers are encountering on their journeys.

This report brings together insights from our interviews, contextualised with further information from secondary sources and ongoing conversations with operators, to give a sense of what telcos mean when they talk about transformation and what their challenges are in becoming more adaptable as organisations to find growth.

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Why is Transformation important to telcos

Far from being an irrelevant or out-dated concept, telcos continue to transform internally. Transformation is understood as a deep change initiative that might involve a shift in foundational technology or a broad-based change in the way an organisation does things, i.e. the culture, processes and the people required – or both.

Most commonly, transformation involves the integration of digital technologies/tools (e.g. cloud, automation, data analytics) into organisational processes to improve business outcomes – with an impact on ways of working (“digital transformation”).

Some telcos talk about transformation in terms of functional initiatives (e.g. IT modernisation), ostensibly affecting a subset of the business, while others talk about transformation from an organisation-wide perspective (e.g. a change in culture like Lean Six Sigma).

The common feature between telco narratives about transformation is that they are motivated by
trying to improve the organisation’s ability to achieve their future vision. This could involve:

  • Making the business more efficient,
  • Creating new value/finding new revenues,
  • Improving outcomes for customers.

Transformations are also undertaken when the vision changes (e.g. when a new leader takes the helm). STL observes that interview respondents described technology-led transformations as aligned to efficiency benefits in the first instance, while organisation-led change was more aligned to responsiveness, particularly in relation to customer needs (improving outcomes). Respondents tended to describe combined technology- and organisation-led change initiatives when there was an ambition to do new things/create new value for customers.

The meaning of transformation – activities cited in interviews

Source: STL Partners

Respondents also mentioned:

  • Transformation in the context of the industry, particularly the possibility that new technologies may change the shape of an industry (e.g. tech companies may find it easier to enter telecoms with their technology capabilities, while telcos may find it difficult to extend services up the technology value chain).
  • The enterprise opportunity represented by digital transformation services.

These were not topics for further exploration in our interviews. Industry transformation is a topic for STL’s Executive Briefing Service – however the threat of industry disruption can and should be an inspiration for corporate transformation. Digital transformation services are covered in our Enterprise stream.

Table of contents

  • Executive Summary
  • Introduction
  • Why is Transformation important to telcos
    • Different change trajectories
  • The condition of transformation – being in the process of it
    • Where do telcos have transformation efforts underway
    • How are transformation projects approached at telcos?
    • Who is responsible for transformation?
  • Barriers to transformation
    • Change leadership issues
    • People challenges
    • Execution difficulties
  • What is holding telcos back from being future-ready organisations?
    • Out with the old…
    • …In with the new
  • Conclusion
    • Recommendations

Related Research

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Capturing the 5G SA opportunity: towards a multi-vendor approach

The 5G SA opportunity

5G SA is an exciting prospect for telecoms operators. With many operators’ revenues from traditional connectivity beginning to stagnate, or even decline, there is increased pressure for operators to create differentiation and offer new services, including by expanding across the value chain from connectivity-only providers.

STL Partners has described this new era, whereby operators must shift their business models to adapt to the new demands, as the Coordination Age 2. From the 1850s until around 1990, the Communications Age enabled people to communicate over long distances via telephony. Next came the Information Age, in which people could directly access content and applications, increasingly provided by non-telecommunications players. In the Coordination Age, ‘things’ are increasingly connecting to other ‘things’, leading to an exponential increase in volumes of data, but thanks to advanced analytics and artificial intelligence (AI) we can also address some of the most pressing issues facing the world today: ensuring resource efficiency and improving productivity to help us to do more with less.

Operators need to define their role in the emerging coordination age


Source: STL Partners

Transitioning to the Coordination Age requires operators to shift their goals and business models accordingly. Operators will need to offer or enable tightly coupled network services and applications to different industries, and continue to refresh, optimise and scale at an unprecedented rate.

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The transformative potential of 5G SA

5G SA, in comparison to its NSA counterpart, is the evolution of 5G that can deliver on the promises associated with the next generation of cellular networking. 5G SA is intended to be cloud native and adopt cloud-native principles. Without SA, 5G networks are less able to quickly launch new services, enable new use cases, or introduce more scalable, automated operating models.

The opportunities to which 5G SA is expected to give rise have been explored extensively in previous STL research. The ‘full potential’ of 5G SA includes promises around higher throughput, greater capacity, the ability to leverage enhanced mobile broadband (eMBB), ultra-reliable low latency communications (URLLC), and massive machine type communications (mMTC). In summary; do more (including enabling more connections at any given time), faster (down to a latency of a few milliseconds) and at a lower cost (through a variety of actors, including lower power consumption than 4G). These new capabilities are exciting for operators: enabling operators to develop powerful new applications for their customers with truly differentiated use cases.

One particular opportunity that 5G SA represents is network slicing. Slicing can be defined as ‘a mechanism to create and dynamically manage functionally discrete, virtualised networks over a common infrastructure,’ and has been the subject of several STL reports. The increased flexibility and agility of network slicing can enable operators to provide unique policies and differentiated services to their enterprise customers and recoup the substantial investments that rolling out 5G SA requires. However, the benefits and opportunities of 5G SA have implications far beyond the new services it can enable. For the first time, 5G is cloud-native by design, with modular service-based architecture giving
rise to greater flexibility and programmability. Furthermore, it leverages IT concepts of virtualization, cloudification, and DevOps processes. This does not so much enable as actively encourage a more agile operating model. Some of the exciting features of 5G SA include:

  • Automation – Increased automation throughout the network, including deployment, orchestration, assurance, and optimisation can give rise to “zero touch” networks that do not require human intervention, and can self repair and update autonomously on an ongoing basis. The aim of network automation is to reduce human error and the time taken to resolve issues through closed-loop network assurance.
  • Disaggregation – Relies on an open standard network operating system whereby different functional components of networking equipment can be deployed individually and then combined in a modular, fit for purpose way, to suit the requirements of an operator’s network. This architecture relies on the interworking between the multi-vendor components within the 5G core. Disaggregation can allow vendors to offer best in class capabilities for each individual component, providing operators with unprecedented choice and customizability.
  • Avoiding vendor lock-in through a diversified supply base – One of the key benefits of a disaggregated approach to the 5G core is to break vendor lock-in that has tended to dominate legacy approaches. Vendor lock-in can be a key limitation on the speed of innovation and service deployment.
  • Agility – Adopting a continuous improvement and development means accelerated innovation and speed of deployment. A software-orientated infrastructure can enable changes in business processes such as product development management to happen at a greater pace and speed time to market for new revenue generating products and features.
  • Scalability through adopting ‘hyperscale economics’ – Explored by STL Partners in previous research, this term describes the emulation of business and software practices developed by hyperscalers to deliver service innovation at scale whilst simultaneously reducing the level of capex relative to revenue.

Cloud native is the only way to truly unlock the benefits of 5G thanks to the automation, efficiency,
optimisation and mode of delivery that it enables. Ultimately, it allows operators to maximise the
opportunity of 5G to develop differentiated services to consumer and enterprises customers.

 

Table of Contents:

  • Executive Summary
    • Recommendations
  • Preface
  • The 5G SA opportunity
    • The transformative potential of 5G SA
    • 5G SA requires operators to develop and foster a new set of skills
    • Some open questions remain around 5G SA
  • The early adopter 5G SA landscape
    • Orange
    • Vodafone
    • Dish
  • Tier 2 and Tier 3 operator approaches to 5G SA
    • Adherents to a single vendor approach
    • Proponents of a multi-vendor approach
    • Several factors can influence an operators’ vendor strategy
  • Recommendations

Related research

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Building a green network: Sustainability game changers

Carbon emissions: At the heart of the corporate strategy for SPs

At the core of all service provider businesses is their network. Customers expect from these networks a service which is fast, reliable, customisable and cost-effective. For service providers to continue to meet these expectations, they are investing in new technologies that help to improve their performance. This investment includes but is not limited to 5G (SA) core, cloudification, AI and automation capabilities, edge computing, vRAN and O-RAN, fibre to the home and more.

However, at the same time as making these network advancements, service providers are also focused on reducing their carbon emissions. Never before has this been such an important part of the corporate strategy of many large companies, not the least the service providers. Becoming greener has become a top priority politically, economically and socially and is increasingly encompassing all parts of the business, from reducing the use of electricity to trying to increase the amount of recycled and refurbished equipment in use.

In many instances efforts to become more sustainable have been accelerated because of the wave of commitments from service providers to become net-zero companies in the next 10-30 years.1 Achieving these commitments will require changes in operating practices across service providers’ businesses, but particularly, changes in the way that they rollout, operate, manage, maintain and upgrade their networks.

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The single biggest contributor: Green networks

Figure 1 indicates why the networks are such an important element in reducing carbon emissions – because they are by far the most energy-hungry part of a service providers’ business. Last year, the Belgian service provider Proximus reported than more than 75% of their electricity consumption came from their networks.

More than 75% of Proximus’ electricity consumption last year came from its fixed and mobile networks

Green networks - Proximus electricity consumption emissions carbon

There are technological advancements that are both improving network performance and helping to reduce carbon emissions. One such of these is “Moore’s Law” – the observed phenomenon from the co-founder of Intel that while compute speed and power doubles every two years, the cost of the computers is halved. Making smaller, more powerful equipment helps to reduce the embedded carbon of a network and while we expect generally that this trend will continue, it will not be enough alone for service providers to reach their net-zero goals.

Instead, more radical action must be taken. Service providers must accelerate their efforts to prioritise sustainability just as much as performance when it comes to their networks and data centre infrastructure. In this report we discuss five key steps that could be sustainability gamechangers in building green networks. The insights from the report have largely been formed through an interview programme with service providers globally to understand their current efforts and future ambitions.

Table of Contents

  • Executive Summary
    • Five sustainability gamechangers to build a greener network
  • Introduction
    • Carbon emissions: At the heart of the corporate strategy for SPs
    • The single biggest contributor: Why the focus on green networks
  • Re-evaluate the gold standard for network KPIs
    • Impact on carbon emissions
    • Evidence of adoption by service providers
  • Develop best-in-class AI and automation capabilities
    • Impact on carbon emissions
    • Evidence of adoption by service providers
  • Simplify the network to achieve emission benefits today
    • Impact on carbon emissions
    • Evidence of adoption by service providers
  • Ensure workloads are running on green energy as much as possible
    • Impact on carbon emissions
    • Evidence of adoption by service providers
  • Target a power usage effectiveness rating of 0.5 through innovative waste heat solutions
    • Impact on carbon emissions
    • Evidence of adoption by service providers
  • Conclusion

 

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Four goals for the data-driven telco

Becoming a data-driven telco

There have been many case studies over the last five years demonstrating the disruption caused by “data-driven businesses”, i.e. those using insights to understand customers, automate processes, change their business models and drive new revenues. In the future, this concept will become an integral part of what it takes to compete successfully, allowing organisations to understand and run all parts of their operations, work with their customers and partners and take part in external activities in new ecosystems. This applies to telecoms operators as much as any other industry.

This research builds on a range of reports STL Partners has previously published on strategic topics related to telcos’ use of data, including:

This research turns to the practical topics of delivering on these strategic goals. The diagram below offers an overview of the drivers and barriers affecting delivery areas such as telco data management and machine learning (ML) in the short and longer term.

Drivers and barriers to being a data-driven telco

Source: STL Partners

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What capabilities should telcos develop?

Telcos are reasonably sophisticated users of data, but their particularly complex web of legacy systems requires a good deal of work around data management and governance to enable the extraction of data sets to give 360-degree view of the customer – and increasingly to provide training data for algorithms.

In the mid-term, telcos that are successful in selling IoT and becoming ecosystem players will require new A3 to deal with the increasing number of services, devices, price points and parties involved in providing service to a customer. Our research suggests that there is a range of new A3 technologies that can provide the automation and intelligence for this, as well as for the underlying data management processes.

In the longer-term, A3 will speed up decision making, impacting company strategy, new product and service creation, and customer experience. Humans will increasingly be supported by AI-, ML- and automation-powered tools in their decision-making. A similar progression will occur among competitors in telecoms, and in adjacent markets, increasing the complexity and speed of doing business. Besides integrating A3 into human workflows, working at increasing speed will depend on getting richer insights out of the available data with techniques such as small data and creation of synthetic data.

Capabilities for a data-driven telco

Source: STL Partners

 

Table of contents

  • Executive Summary
    • Capabilities telcos should develop over the medium term
    • What will telcos focus on in the mid-term?
    • Next steps
  • Becoming a data-driven telco
    • Short term drivers
    • Barriers in the short term
    • Long term drivers
    • Barriers in the long term
  • Availability of data
    • Use of data fabrics
    • Better data labelling
    • Rise of synthetic data
    • More intelligent data selection
    • Telco strategies for cloud usage
  • Equipping people
    • Augmented analytics and business intelligence
    • Decision intelligence
  • Work on governance
    • Governance across the telco
    • Agility in governance
    • Governance for AI and machine learning
    • Ethical governance
    • Improved measurement of governance
    • Governance in ecosystems
  • Index

MWC 2022: Sensing the winds of change

What did STL’s analysts find at MWC 2022?

This report is a collection of our analyst’s views of what they saw at the 2022 Mobile World Congress (MWC 2022). It comprises our analysts’ perspectives on its major themes:

  • How the industry is changing overall
  • The impact of the metaverse
  • New enterprise and consumer propositions
  • Progress towards telco cloud
  • Application of AI, automation and analytics (A3)

We would like to thank our partners at the GSMA for a good job done well. The GSMA say that there were 60,000 attendees this year, which is down from the 80-100k of 2019 but more than credible given the ongoing COVID-19 situation. It was nonetheless a vibrant and valuable event, and a great opportunity to see many wonderful people again face to face, and indeed, meet some great new ones.

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MWC 2022 in context of its time

It is impossible to write about MWC 2022 without putting it context of its time. It has taken place three days after the Russian invasion of Ukraine started on February 24th, 2022.

Speakers made numerous direct and indirect mentions of the war, and it was clear that a sense of sadness was felt by everyone we spoke to. This slightly offset the enthusiasm and warmth that we and many others felt on being back together in person, with our clients and the industry.

Broad support for the Ukraine was visible among many delegates and there was no Russian delegation. While totally appropriate, the Fira was a little poorer for that as one of the joys of MWC is its truly global embodiment of a vibrant industry.

We all hope for a speedy and peaceful resolution to that situation, and to see our Russian and Ukrainian colleagues again in peace soon. Sadly, as we write from and just after Barcelona, bombs and shells are falling on civilians on the same continent and the route to peace is not yet evident.

As this new and shocking war has come in Europe while COVID is still in a pandemic phase it is a reminder that change and challenge never ends. The telecoms industry responded well to COVID, and now it must again for this and all the challenges it will face in the future, which include further geopolitical risks and shocks and many more opportunities too.

The biggest opportunity for telecoms, and telcos in particular, is to build on the momentum of change rather than rest on its laurels. The threat is that it will settle for a low risk but ultimately lower value path of sticking to the same old same.  We look at the evidence for telcos successfully changing their mindset in New enterprise business: Opening, if not yet changed mindsets.

Connecting technologies

This is my 11th MWC. I came looking for what’s changed and what it means. This is what I found. Andrew Collinson, Managing Director, STL Partners Research.

Cross-dressing and role play

Trying to leave the war at the door, what else did we find at the Fira? One of the mind-bending tasks of walking through the cacophony of sights and sounds of a huge industry ecosystem on display is trying to make sense of what is going on. Who is here, and what are they trying to tell me?

First impressions count. The simple things about how companies present themselves initially mean a great deal. They often show the identity they are trying to project – who or what they are trying to be seen as more than all the detail put together. The first impression I got at MWC 2022 was that almost everyone was trying to dress like someone else.

Microsoft showed photos of cell towers on its stand while all the telco CEOs talked about the “new tech order” and becoming techcos. McKinsey talked about its ‘old friends’ in the telecoms industry and talked about sustainability on its hard-edged stand, while AWS had an advert on the frontage of the Fira and a stand in the “Four Years from Now” zone.

We’re all telcos / techcos now

We're all telcos techcos now

Source: STL Partners, AWS, Microsoft, McKinsey

It’s all about “connecting technologies”

Regular readers of STL’s material will have heard of the Coordination Age: our concept that there is a universal need for better use of resources which will be met in part by the application of connecting technologies (e.g. fibre, mobile, 5G, AI, automation, etc.).

Once upon a time, it was simply people that needed to be connected to each other. Now a huge variety of stuff needs connecting: e.g., devices, computer applications, business processes, business assets and people.

A big question in all this is whether operators have really understood how outdated their traditional operator centric view of the world has become as the industry has changed. Sure, new telecoms networks still need to be built and extended. But it isn’t just operators using licensed technologies that can do this anymore, and the value has increasingly moved to the players that can make all the stuff work: systems integrators and other technology and software players. We’ll cover operators’ mindsets more in the section titled New enterprise business: Opening, if not yet changed mindsets.

Private matters

Private networks was also a big area of focus at MWC 2022, and understandably so too as there is a lot of interest in the concept in various sectors, especially in ports and airports, mining, and manufacturing. Much of the interest for this comes from the hype around 5G which has attracted other industries to look at the technology. However, while there are some interesting developments in practice (for example Huawei and others at Shenzen port in China), many of the applications are at least as well served, and in some cases, better served by other connectivity technologies, e.g. Wi-Fi, wired connections, narrow-band IoT, and 3G / 4G, edge computing and combinations thereof. So 5G is far from the only horse in the race, and we will be looking closely at the boundary conditions and successful use cases for Private 5G in our future research.

Would you pay for “unexpected benefits”?

One great stumbling block for telcos and other business used to traditional business thinking has been “how do you make a business case for new technology?”

The classic telecoms route is to dig around for a cost-saving and revenue enhancement case and then try to bend the CFO’s ear until they give you some money to do your thing. This is fair enough, to a point.

The challenge is, what do you do when you don’t know what you are going to find and/or you can’t prove it? Or worse still, you can only prove it after everybody else in the market has proven it for you and you are then at a competitive disadvantage.

One story I saw and see elsewhere repeated endlessly is that of “unexpected benefits”. This was a phrase that Alison Kirkby, CEO Telia, used to describe what happened when the value of its population movement data was recognised by the Swedish Government during the COVID crisis. It had pulled together the data for one set of reasons, and suddenly this very compelling use came to light.

Another I heard from Qualcomm, which told of putting IoT driven shelf price signs in retail. Originally it was developed to help rapid repricing for consumers in store, then COVID struck a few weeks after installation. This meant people switched to online shopping and the stores were then mainly used by  pickers assembling orders for delivery. The retailer found that by using the signs to help the pickers assemble their loads faster they could make the process about a third more productive. That’s a lot in retail.

This is the reality of transformational business models and technologies. It is incredibly hard to foresee what is really going to work, and how. Even after some time with a new way of working new uses continue to emerge. That’s not to say that you can’t narrow it down a bit – and this is something we spend a lot of our time working on. However, a new thing I will be asking our analysts to help figure out is “how can you tell when and where there are likely to be unexpected benefits?”

 

Table of Contents

  • Executive Summary
  • Introduction
    • MWC 2022 in context of its time
  • MWC 2022: Connecting technologies
    • Cross-dressing and role play
    • Would you pay for “unexpected benefits”?
    • Getting physical, getting heavy
    • Glasses are sexy (again)
    • Europe enviously eyes eastwards
  • New enterprise business: Opening, if not yet changed mindsets
    • Customer centricity: Starting to emerge
    • Becoming better partners: Talking the talk
    • New business models: Not quite there
  • The Metaverse: Does it really matter?
    • Can the Metaverse be trusted?
    • Exploding supply, uncertain quality
    • The non-fungible flexibility paradox
    • A coordinating role for telcos?
    • Don’t write it off, give it a go
  • Consumers: XR, sustainability and smarthome
    • Operators: Aiming for smart and sustainable
    • Vendors and techcos: Would you like AI with that?
    • More Metaverse, VR and AR
    • Other interesting finds: Commerce, identity, video
  • Telco Cloud: The painful gap between theory and practice
    • Brownfield operators are still on their virtualisation journey
    • Greenfield operators: Cloud native and automated from day one
    • Telcos on public could: Shall I, shant I?
  • AI and automation: Becoming adaptive
    • Looking out for good A3 use cases / case studies
    • Evidence of a maturing market?
    • Welcome signs of progress towards the Coordination Age

 

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The Future of Work: How AI can help telcos keep up

What will the Future of Work look like?

The Future of Work is a complex mix of external and internal drivers which will exert pressure on the telco to change – both immediately and into the long-term. Drivers include government policy, general changes in cultural attitudes and new types of technology. For example, intelligent tools will see humans and machines working more closely together. AI and automation will be major drivers of change, but they are also tools to address the impact of this change.

AI and automation both drive and solve Future of Work challenges

Futuore of work AI automation analytics

Source: STL Partners

This report leverages secondary research from a variety of consultancies, research houses and academic institutions. It also builds on STL Partners’ previous research around the use of A3 and future new technologies in telecoms, as well as organisational learning to increase telco ability to absorb change and thrive in dynamic environments:

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The Future of Work

We begin by summarising secondary research around the Future of Work. Key topics we explore are:

Components of the Future of Work

Future of work equation

Source: STL Partners

  1. The term Fourth Industrial Revolution is often used interchangeably with the technologies involved in Industry 4.0. However, this report uses a broader definition (quoted from Salesforce):
    • “The blurring of boundaries between the physical, digital, and biological worlds. It’s a fusion of advances in artificial intelligence (AI), robotics, the Internet of Things (IoT), 3D printing, genetic engineering, quantum computing, and other technologies.” 
  2. Societal and cultural change includes changes in government and public attitude, particularly around climate change and issues of equality. It also includes changing attitudes of employees towards work.
  3. Business environment change encompasses a variety of topics around competitive dynamics (e.g. national versus global economies of scale) and changing market conditions, in particular with relation to changing corporate structures (hierarchies, team structures, employees versus contractors).
  4. Pandemic-related change: The move towards homeworking and hastening of some existing/new trends (e.g. automation, ecommerce).

Content

  • Executive Summary
  • Introduction
  • The Future of Work
    1. The Fourth Industrial Revolution
    2. Societal and cultural change
    3. Business environment change
    4. Pandemic-related change
  • How will FoW trends impact telcos in the next 5 to 10 years?
    • Expected market conditions
    • Implications for telcos’ strategic direction
    • Workforce and cultural change
  • Telco responses to FoW trends and how A3 can help
    • Strategic direction
    • Skills development
    • Organisational and cultural change
  • Appendix 1
  • Index

Related Research

 

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AI & automation for telcos: Mapping the financial value

This is an update to STL Partners report A3 for telcos: Mapping the financial value, published in May 2020, which estimated the financial value of automation, AI and analytics (A3) through bottom up analysis of potential capex/opex savings or revenue uplift from integrating A3 into 150+ processes across a telco’s core operations.

The value is measured on an annual basis in dollar terms and as a proportion of total revenue for a “standard telecoms operator”. Access to the full methodology and definition of a standard telco is available in the report Appendix.

We categorise the value of automation, AI and analytics (A3) in telecoms across operational area, as well as type and purpose of A3 technology. Our graphic below summarises the value of A3 across the following six types of technology:

  1. Making sense of complex data: Analytics and machine learning used to understand large, mostly structured data sets, looking for patterns to diagnose problems and predict/prescribe resolutions.
  2. Automating processes: Intelligent automation and RPA to enable decision making, orchestration and task completion within telco processes.
  3. Personalising customer interactions: Analytics and machine learning used to understand customer data, create segmentation, identify triggers and prescribe actions to be taken.
  4. Support business planning: Analytics and machine learning used in forecasting and optimisation exercises.
  5. Augmenting human capabilities: AI solutions such as natural language processing and text analytics used to understand human intent or sentiment, to support interactions between customers or employees and telco systems.
  6. Frontier AI solutions: A number of individual AI solutions which have particular, specialist uses within a telco.

For further detail on this categorisation methodology, see STL Partners report The telco A3 application map

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What’s new in 2022

The colouring of the use case categories in the graphic below remains largely unchanged from May 2020. Some uses of A3 were reasonably mature in that timeframe and already rolled out in a typical telco, so their value was already well understood.

We estimate that the most valuable use case categories, primarily in networks and operations, deliver over $50 millions in annual benefits – and sometimes up to hundreds of millions. Throughout this report we express the value in dollar terms and as a percentage of savings within each domain. This is because while $50 million is clearly a significant sum, it accounts for just 0.33% of total revenues for our standard operator, so showing values for unique use case categories as a proportion of total revenues undermines the potential value A3 can add to individual teams, and in turn contribute to significant aggregate value across an operator.

Overview of the financial value of A3

financual-value-A3

Source: STL Partners, Charlotte Patrick Consult

In our May 2020 research, many of the more sophisticated uses of A3 were understood in theory but yet to be implemented. Researching these various newer uses cases throughout 2021 has revealed that many are now, at least partly, rolled out (although some are still waiting for cleaner data or more orchestration capabilities).

However, there were a few new case studies with financial benefits that necessitated more than small changes to the 2020 financial value calculations. Summarising the changes illustrated in the graphic above:

  • ​The most noticeable change in uptake for A3 was in the BSS domain. Vendors and telcos were not discussing much beyond RPA and basic analytics in 2020, but there are now a whole range of potential uses for ML (typically in the box labelled “Revenue management” in the graphic above). The question of how much additional financial value to assign to this is interesting – some of the A3 will ensure that the rating and charging systems can cope with the additional volume and complexity around 5G and IoT billing, so an allocation of revenue uplift has been assigned. However, this revenue benefit only accounts for around 6% of the additional $83 million in value from A3 in networks and operations estimated in this update.
  • We have added partner management as a new use case category, within operations. This is to allow A3 value to be added as telcos work with more partners and in new ecosystems, and accounts for 6% of additional value in networks and operations in this update.
  • An increase in the assumed value of A3 within marketing programs, owing to the addition of ML to improve the design of new offers.
  • The value of a previous use case category labelled “Troubleshooting” has been subsumed into “Unassisted channels”, as telcos find it difficult to implement troubleshooting tools for customers.
  • Some increase in financial benefit around customer chatbots and field services, due to new case studies showing financial value.

Our report includes a section for each of the first three columns of the graphic above (Networks and operations, customer channels, marketing and sales). The final column (other functions) doesn’t currently have financial calculations underpinning it as values are thought to be insubstantial in comparison to the first three columns.

Table of contents

  • Executive summary
  • Overview of the financial value of automation, AI and analytics (A3)
  • Financial value by business unit
    • BSS, OSS and networks
    • Customer channels
    • Sales and marketing
  • Appendix
    • Methodology for Calculating Financial Value
    • Augmented Analytics Capabilities

Related Research

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A3 in customer experience: Possibilities for personalisation

The value of A3 in customer experience

This report considers the financial value to a telco of using A3 technologies (analytics, automation and AI) to improve customer experience. It examines the key area which underpins much of this financial value – customer support channels – considering the trends in this area and how the area might change in future, shaping the requirement for A3.

Calculating the value of improving customer experience is complex: it can be difficult to identify the specific action that improved a customer’s perception of their experience, and then to assess the impact of this improvement on their subsequent behaviour.

While it is difficult to draw causal links between telcos’ A3 activities and customer perceptions and behaviours, there are still some clearly measurable financial benefits from these investments. We estimate this value by leveraging our broader analysis of the financial value of A3 in telecoms, and then zooming in on the specific pockets of value which relate to improved customer experience (e.g. churn reduction).

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The diagram below illustrates that there are two parts of the customer journey where A3 will add most value to customer experience:

  1. The performance of the network, services, devices and applications is increasingly dependent on automation and intelligence, with the introduction of 5G and cloud-native operations. Without A3 capabilities it will be difficult to meet quality of service standards, understand customer-affecting issues and turn up new services at speed.
  2. The contact centre remains one of the largest influencers of customer experience and one of the biggest users of automation, with the digital channels increasing in importance during the pandemic. Understanding the customer and the agent’s needs and providing information about issues the customer is experiencing to both parties are areas where more A3 should be used in future.

Where is the financial benefit of adding A3 within a typical telco customer journey?

A3 customer experience

Source: STL Partners, Charlotte Patrick Consult

As per this diagram, many of the most valuable uses for A3 are in the contact centre and digital channels. Improvements in customer experience will be tied with trends in both. These priority trends and potential A3 solutions are outlined the following two tables:
• The first shows contact centre priorities,
• The second shows priorities for the digital channels.

Priorities in the contact centre

A3 Contact centre

Priorities in the digital channel

A3 Digital channel

Table of Contents

  • Executive Summary
  • The value of A3 in customer experience
  • Use of A3 to improve customer experience
  • The most important uses of A3 for improving the customer experience
    • Complex data
    • Personalisation
    • Planning
    • Human-machine interaction
    • AI point solution
  • Conclusion
  • Appendix: Methodology for calculating financial value
  • Index

Related Research:

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Driving the agility flywheel: the stepwise journey to agile

Agility is front of mind, now more than ever

Telecoms operators today face an increasingly challenging market, with pressure coming from new non-telco competitors, the demands of unfamiliar B2B2X business models that emerge from new enterprise opportunities across industries and the need to make significant investments in 5G. As the telecoms industry undergoes these changes, operators are considering how best to realise commercial opportunities, particularly in enterprise markets, through new types of value-added services and capabilities that 5G can bring.

However, operators need to be able to react to not just near-term known opportunities as they arise but ready themselves for opportunities that are still being imagined. With such uncertainty, agility, with the quick responsiveness and unified focus it implies, is integral to an operator’s continued success and its ability to capitalise on these opportunities.

Traditional linear supply models are now being complemented by more interconnected ecosystems of customers and partners. Innovation of products and services is a primary function of these decentralised supply models. Ecosystems allow the disparate needs of participants to be met through highly configurable assets rather than waiting for a centralised player to understand the complete picture. This emphasises the importance of programmability in maximising the value returned on your assets, both in end-to-end solutions you deliver, and in those where you are providing a component of another party’s system. The need for agility has never been stronger, and this has accelerated transformation initiatives within operators in recent years.

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Concepts of agility have crystallised in meaning

In 2015, STL Partners published a report on ‘The Agile Operator: 5 key ways to meet the agility challenge’, exploring the concept and characteristics of operator agility, including what it means to operators, key areas of agility and the challenges in the agile transformation. Today, the definition of agility remains as broad as in 2015 but many concepts of agility have crystallised through wider acceptance of the importance of the construct across different parts of the organisation.

Agility today is a pervasive philosophy of incremental innovation learned from software development that emphasises both speed of innovation at scale and carrier-grade resilience. This is achieved through cloud native modular architectures and practices such as sprints, DevOps and continuous integration and continuous delivery (CI/CD) – occurring in virtuous cycle we call the agility flywheel.

The Agility Flywheel

agility-flywheel

Source: STL Partners

Six years ago, operators were largely looking to borrow only certain elements of cloud native for adoption in specific pockets within the organisation, such as IT. Now, the cloud model is more widely embraced across the business and telcos profess ambitions to become software-centric companies.

Same problem, different constraints

Cloud native is the most fundamental version of the componentised cloud software vision and progress towards this ideal of agility has been heavily constrained by operators’ underlying capabilities. In 2015, operators were just starting to embark on their network virtualisation journeys with barriers such as siloed legacy IT stacks, inelastic infrastructures and software lifecycles that were architecture constrained. Though these barriers continue to be a challenge for many, the operators at the forefront – now unhindered by these basic constraints – have been driving a resurgence and general acceleration towards agility organisation-wide, facing new challenges around the unknowns underpinning the requirements of future capabilities.

With 5G, the network itself is designed as cloud native from the ground up, as are the leading edge of enterprise applications recently deployed by operators, alleviating by design some of the constraints on operators’ ability to become more agile. Uncertainty around what future opportunities will look like and how to support them requires agility to run deep into all of an operators’ processes and capabilities. Though there is a vast raft of other opportunities that do not need cloud native, ultimately the market is evolving in this direction and operators should benchmark ambitions on the leading edge, with a plan to get there incrementally. This report looks to address the following key question:

Given the flexibility and driving force that 5G provides, how can operators take advantage of recent enablers to drive greater agility and thrive in the current pace of change?

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Table of Contents

    • Executive Summary
    • Agility is front of mind, now more than ever
      • Concepts of agility have crystallised in meaning
      • Same problem, different constraints
    • Ambitions to be a software-centric business
      • Cloudification is supporting the need for agility
      • A balance between seemingly opposing concepts
    • You are only as agile as your slowest limb
      • Agility is achieved stepwise across three fronts
      • Agile IT and networks in the decoupled model
      • Renewed need for orchestration that is dynamic
      • Enabling and monetising telco capabilities
      • Creating momentum for the agility flywheel
    • Recommendations and conclusions

A3 for enterprise: Where should telcos focus?

A3 capabilities operators can offer enterprise customers

In this research we explore the potential enterprise solutions leveraging analytics, AI and automation (A3) that telcos can offer their enterprise customers. Our research builds on a previous STL Partners report Telco data monetisation: What’s it worth? which modelled the financial opportunity for telco data monetisation – i.e. purely the machine learning (ML) and analytics component of A3 – for 200+ use cases across 13 verticals.

In this report, we expand our analysis to include the importance of different types of AI and automation in implementing the 200+ use cases for enterprises and assess the feasibility for telcos to acquire and integrate those capabilities into their enterprise services.

We identified eight different types of A3 capabilities required to implement our 200+ use cases.

These capability types are organised below roughly in order of the number of use cases for which they are relevant (i.e. people analytics is required in the most use cases, and human learning is needed in the fewest).

The ninth category, Data provision, does not actually require any AI or automation skills beyond ML for data management, so we include it in the list primarily because it remains an opportunity for telcos that do not develop additional A3 capabilities for enterprise.

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Most relevant A3 capabilities across 200+ use cases

9-types-of-A3-analytics-AI-automation

Most relevant A3 capabilities for leveraging enterprise solutions

People analytics: This is the strongest opportunity for telcos as it uses their comprehensive customer data. Analytics and machine learning are required for segmentation and personalisation of messaging or action. Any telco with a statistically-relevant market share can create products – although specialist sales capabilities are still essential.

IoT analytics: Although telcos offering IoT products do not immediately have access to the payload data from devices, the largest telcos are offering a range of products which use analytics/ML to detect patterns or spot anomalies from connected sensors and other devices.

Other analytics: Similar to IoT, the majority of other analytics A3 use cases are around pattern or anomaly detection, where integration of telco data can increase the accuracy and success of A3 solutions. Many of the use cases here are very specific to the vertical. For example, risk management in financial services or tracking of electronic prescriptions in healthcare – which means that a telco will need to have existing products and sales capability in these verticals to make it worthwhile adding in new analytics or ML capabilities.

Real time: These use cases mainly need A3 to understand and act on triggers coming from customer behaviour and have mixed appeal to telcos. Telcos already play a significant role in a small number of uses cases, such as mobile marketing. Some telcos are also active in less mature use cases such as patient messaging in healthcare settings (e.g. real-time reminders to take medication or remote monitoring of vulnerable adults). Of the rest of the use cases that require real time automation, a subset could be enhanced with messaging. This would primarily be attractive to mobile operators, especially if they offer broader relevant enterprise solutions – for example, if a telco was involved in a connected public transport solution, then it could also offer passenger messaging.

Remote monitoring/control: Solutions track both things and people and use A3 to spot issues, do diagnostic analysis and prescribe solutions to the problems identified. The larger telcos already have solutions in some verticals, and 5G may bring more opportunities, such as monitoring of remote sites or traffic congestion monitoring.

Video analytics: Where telcos have CCTV implementations or video, there is opportunity to add in analytics solutions (potentially at the edge).

Human interactions: The majority of telco opportunities here relate to the provision of chatbots into enterprise contact centres.

Human learning: A group of low feasibility use cases around training (for example, an engineer on a manufacturing floor who uses a heads-up augmented/virtual reality (AR/VR) display to understand the resolution to a problem in front of them) or information provision (for example, providing retail customers with information via AR applications).

 

Table of Contents

  • Executive Summary
    • Which A3 capabilities should telcos prioritise?
    • What makes an investment worthwhile?
    • Next steps
  • Introduction
  • Vertical opportunities
    • Key takeaways
  • A3 technology: Where should telcos focus?
    • Key takeaways
    • Assessing the telco opportunity for nine A3 capabilities
  • Verizon case study
  • Details of vertical opportunities
  • Conclusion
  • Appendix 1 – full list of 200 use cases

 

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Telecoms priorities: Ready for the crunch?

The goal of this research is to understand how telecoms operators’ investment priorities and investments are likely to change as the COVID-19 crisis recedes.  To do this, we collected 144 survey responses from participants in telecoms operators, telecoms vendors, and analysts and consultants and other groups. All responses are treated in strict personal and company confidence. Take the survey here.

This research builds on our previous content on the impact of the pandemic to the telecoms industry: COVID-19: Now, next and after (March 2020), COVID-19: Impact on telco priorities (May 2020), based on a survey undertaken in April and early May 2020 and Recovering from COVID: 5G to stimulate growth and drive productivity (August 2020).  STL Partners has also hosted three webinar on the topic (March to July 2020).

This deck summarises the findings of our industry research on telecoms priorities at the start of 2021.

We explored the research in our webinar,  State of the Industry: 2021 Priorities (click on the link to view the recording).

Background to the telecoms priorities survey – January 2021

The respondents were fairly evenly split between telcos, vendors, and ‘others’ (mainly analysts and consultants). This sample contained a higher proportion of European and American respondents than industry average, so is not fully globally representative. The split of company types and geography was broadly similar to the May 2020 survey, with the exception of the MENA region, where there were less than half the prior respondents – a total of 7. However those respondents were senior and well known to STL.

Who took the survey?

telco industry breakdown

Source: STL telecoms priorities survey, 144 respondents, 31st January 2021

48% of respondents were C-Level/VP/SVP/Director level. Functionally, most respondents work in senior HQ and operational management areas. Compared to May 2020, there were proportionally slightly more senior respondents, and slightly less in product and strategy roles.

What are their roles?

Senior participants

Source: STL telecoms priorities survey, 144 respondents, 31st January 2021

How respondents perceive priorities, as the COVID threat recedes

There were increases in respondent confidence in almost every category we surveyed from May 2020 to Jan 2021.

  • Telecoms automation and agility remain top priorities across the industry – and transformation has moved up the agenda.
  • Appetite for 5G investments increased the most of all areas surveyed in the last 8 months.
  • The ‘consumerisation’ of enterprise continues, although security and work from home (WFH) services have overtaken conferencing and VPNs in priority.
  • Healthcare remains the most accelerated vertical / application opportunity of all those impacted in the current crisis.
  • The priority of consumer services has significantly increased yet confidence in making any additional money in the sector is low.
  • Leadership and transformation: COVID 19 has empowered an industry-wide belief that change is possible.
  • Transformation and innovation are high priorities, and appetite for sustainability and recruitment has returned, but there are doubts about some telco leaders’ commitment and ability to grasp and invest in new opportunities.

STL Partners assesses the telecoms industry to be at a crunch point: COVID has injected further pace to the rapid evolution of the world economy. Telcos that have been focused on responding to immediate pandemic-induced challenges, will emerge from the crisis faced with an urgency to respond to this evolution – key choices that telcos might have had 5-10 years to ponder are being crunched into the next 0-3 years.

Our findings suggest that most telcos are only partly ready for this disruptive opportunity.

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Notes on interpreting the research findings

  • The way research respondents perceive any given question is generally dependent on their current situation and knowledge. To get relevant answers, we asked all respondents if they were interested or involved in specific areas of interest (e.g. ‘consumer services’), and to not answer questions they couldn’t (e.g. for confidentiality reasons) or simply didn’t know or have a clear opinion.
  • We saw no evidence that respondents were ‘gaming’ the results to be favourable to their interests.
  • Results need to be seen in the context that telcos themselves vary widely in size, profitability and market outlook. For example, for some, 5G seems like a valid investment, whereas for others the conditions are currently much less promising. COVID-19 has clearly had some impact on these dynamics, and our analysis attempts to reflect this impact on the overall balance of opinions as well as some of the specific situations to bring greater nuance.
  • In December 2020 / January 2021, the worldwide impact of COVID-19 is increasingly well understood and less of a shock than was the case in May / June 2020. Vaccines are beginning to be rolled out but it is an early stage in the process, and new variants of COVID-19 have evolved in the UK, South Africa and Brazil (and possibly elsewhere). There are geo-political wrangles on vaccine distribution, and varying views on effectiveness and the most appropriate responses. Nonetheless, respondents appear overall more optimistic, although there is still considerable uncertainty.
  • We’ve interpreted the results as best we can given our knowledge of the respondents and what they told us, and added in our own insights where relevant.
  • Inevitably, this is a subjective exercise, albeit based on 144 industry respondents’ views.
  • Nonetheless, we hope that it brings you additional insights to the many that you already possess through your own experiences and access to data.
  • Finally, things continue to change fast. We will continue to track them.

Table of contents

  • Executive summary: Opportunities are in overdrive, but can telcos catch them?
  • High-level findings
  • Research background
  • Technology impacts: Automation, cloud and edge come of age
  • Network impacts: 5G is back
  • Enterprise sector impacts: Healthcare still leads
  • Consumer sector impacts: Mojo aplenty, money – not so much
  • Leadership impacts: good talking, but enough walking?

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