Vodafone Strengthens Enterprise Offerings in UK

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While Vodafone remains one of the leading global telecommunications providers, they face the need to transform their services and reach out to a wider audience. The customer base of a typical telecom provider is shifting, and they can no longer afford to just focus on consumers and need to include enterprises in their go-to-market strategy. Beyond the usual offerings of connectivity and mobile plans, Vodafone Business has solutions for Unified Communications, IoT and Cloud, to help grow their enterprise customer base. Ecosystm Principal Advisor, Tim Sheedy says, “Vodafone is one of the most successful telecom providers in the business space. Vodafone Business already represents around 30% of the Vodafone Group revenue, and unlike most in the telecommunications sector, they are showing growth (albeit moderate!).”

The Role of Telecom Providers in the Cybersecurity Market

An area where enterprises continue to need guidance and support is cybersecurity. The results of the UK Government’s Cyber Security Breaches Survey 2019 found that 32% of UK businesses had experienced a cyber-attack in the previous 12 months. More than a third of UK organisations have made changes in their cyber policies because of the GDPR – a majority focusing on policies first. It is not surprising therefore that Vodafone should identify cybersecurity as the next area of focus for their enterprise offerings.

Sheedy says, ”Cybersecurity services are one of the fastest-growing areas in technology. But because of this, it is a also a crowded market with everyone – from the big telecom providers, IT services providers, big audit firms, mid-sized technology providers down to the smaller cybersecurity experts – playing for this growing spend. It can, however, be argued that telecom providers have some of the deepest experience in cybersecurity and managing the risks – their networks are probably the most targeted by hackers and malicious actors. Telecom providers have massive teams just to stop threats from one or two countries. With all the work they do to protect their own network, they should have the skills to help protect the networks and assets of their clients.”

Ecosystm Principal Advisor, Alex Woerndle concurs, “Telecom providers are perfectly positioned to transition into managed security service providers (MSSPs).  They already have the experience in providing a range of managed services, the ability to scale to support clients and some ready-made expertise internally in their in-house cybersecurity capabilities.”

Vodafone’s Foray into Cybersecurity

Vodafone Cyber Enhanced focuses on selected cybersecurity areas – threat analysis and intelligence, managed firewall and managed security services. The global Ecosystm Cybersecurity study finds that the solutions that organisations will invest in most in 2020 are Security Operations (SecOps) & Incident Response (by a third of global organisations) and Threat Analysis & Intelligence (by 20% of global organisations).

Commenting on the areas Vodafone is focusing on, Woerndle says, “Threat analysis and intelligence is where a lot of established SecOps providers and MSSPs are really focusing now. Previously it was simply a matter of monitoring alerts and reporting. Businesses and in-house security teams are now seeking more proactive assistance in searching for threats, before they become attacks. The challenge they face is catching up – effectively jumping from just being another SecOps centre (SOC) monitoring and reporting alerts, to matching the more mature SOCs with proactive threat intelligence to help clients mitigate before an attack is launched. This takes time, as it needs maturity of the SOC and the team, and also data, which established providers have accrued plenty of, over an extended period. While a managed firewall is not really a new service, it makes some sense to couple it with other managed security services to deliver a broader program. Vodafone is absolutely targeting the areas that businesses are looking into presently.”

Woerndle adds, “MSSPs will be crucial to the security sector moving forward. There has been a rapid growth of vendor solutions creating a very confusing market for tech buyers. This is coupled with a  tight labour market for skilled people who can manage the tools. It is not surprising , therefore, that 86% of organisations across the world will look to engage with an MSSP when deploying a cybersecurity solution, according to Ecosystm research.”

Sheedy sees an opportunity for Vodafone to go global with their cybersecurity capabilities. “If Vodafone can compete with the bigger players (and perhaps partner with or complement the offerings of the smaller ones), then they should find a significant opportunity, especially within their larger clients – particularly as they move into the software-defined networking space. However, given the confusion around cybersecurity, they should expand their focus beyond larger enterprises to businesses over about 100 employees. As one of the largest global telecom providers, with one of the largest networks, they can be an important player in the cybersecurity space – growing the spend in their business clients. And while this is a UK play for now, one assumes that they will look to expand across their operating countries as Vodafone Cyber Enhanced gains traction.”

 

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AI Driving Tech Adoption

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In our blog, Artificial Intelligence – Hype vs Reality, published last month we explored why the buzz around AI and machine learning have got senior management excited about future possibilities of what technology can do for their business. AI – starting with automation – is being evaluated by organisations across industries. Several functions within an organisation can leverage AI and the technology is set to become part of enterprise solutions in the next few years. AI is fast becoming the tool which empowers business leaders to transform their organisations. However, it also requires a rethink on data integration and analysis, and the use of the intelligence generated. For a successful AI implementation, an organisation will have to leverage other enabling technologies.

Technologies Enabling AI

IoT

Organisations have been evaluating IoT – especially for Industry 4.0 – for the better part of the last decade. Many organisations, however, have found IoT implementations daunting for various reasons – concerns around security, technology integration challenges, customisation to meet organisational and system requirements and so on. As the hype around what AI can do for the organisation increases, they are being forced to re-look at their IoT investments. AI algorithms derive intelligence from real-time data collected from sensors, remote inputs, connected things, and other sources. No surprise then that IoT Sensor Analytics is the AI solution that is seeing most uptake (Figure 1).Adoption of AI Solutions

This is especially true for asset and logistics-driven industries such as Resource & Primary, Energy & Utilities, Manufacturing and Retail. Of the AI solutions, the biggest growth in 2020 will also come from IoT Analytics – with Healthcare and Transportation ramping up their IoT spend. And industries will also look at different ways they can leverage the IoT data for operational efficiency and improved customer experience (CX). For instance, in Transportation, AI can use IoT sensor data from a fleet to help improve time, cost and fuel efficiency – suggesting less congested routes with minimal stops through GPS systems, maintaining speeds with automated speed limiters – and also in predictive fleet maintenance.

IoT sensors are already creating – and will continue to create large amounts of data. As organisations look to AI-enabled IoT devices, there will be a shift from one-way transactions (i.e. collecting and analysing data) to bi-directional transactions (i.e. sensing and responding). Eventually, IoT as a separate technology will cease to exist and will become subsumed by AI.

Cloud

AI is changing the way organisations need to store, process and analyse the data to derive useful insights and decision-making practices. This is pushing the adoption of cloud, even in the most conservative organisations. Cloud is no longer only required for infrastructure and back-up – but actually improving business processes, by enabling real-time data and systems access.

Over the next decades, IoT devices will grow exponentially. Today, data is already going into the cloud and data centres on a real-time basis from sensors and automated devices. However, as these devices become bi-directional, decisions will need to be made in real-time as well. This has required cloud environments to evolve as the current cloud environments are unable to support this. Edge Computing will be essential in this intelligent and automated world. Tech vendors are building on their edge solutions and tech buyers are increasingly getting interested in the Edge allowing better decision-making through machine learning and AI. Not only will AI drive cloud adoption, but it will also drive cloud providers to evolve their offerings.

The global Ecosystm AI study finds that four of the top five vendors that organisations are using for their AI solutions (across data mining, computer vision, speech recognition and synthesis, and automation solutions) today, are also leading cloud platform providers (Figure 2).Top Vendors Implementing AI Solutions

The fact that intelligent solutions are often composed of multiple AI algorithms gives the major cloud platforms an edge – if they reside on the same cloud environment, they are more likely to work seamlessly and without much integration or security issues. Cloud platform providers are also working hard on their AI capabilities.

Cybersecurity & AI

The technology area that is getting impacted by AI most is arguably Cybersecurity. Security Teams are both struggling with cybersecurity initiatives as a result of AI projects – and at the same time are being empowered by AI to provide more secure solutions for their organisations.

The global Ecosystm Cybersecurity study finds that one of the key drivers that is forcing Security Teams to keep an eye on their cybersecurity measures is the organisations’ needs to handle security requirements for their Digital Transformation (DX) projects involving AI and IoT deployments (Figure 3).Drivers of Continued Focus on Cybersecurity

While AI deployments keep challenging Security Teams, AI is also helping cybersecurity professionals. Many businesses and industries are increasingly leveraging AI in their Security Operations (SecOps) solutions. AI analyses the inflow and outflow of data in a system and analyses threats based on the learnings. The trained AI systems and algorithms help businesses to curate and fight thousands of daily breaches, unsafe codes and enable proactive security and quick incident response. As organisations focus their attention on Data Security, SecOps & Incident Response and Threat Analysis & Intelligence, they will evaluate solutions with embedded AI.

AI and the Experience Economy

AI has an immense role to play in improving CX and employee experience (EX) by giving access to real-time data and bringing better decision-making capabilities.

Enterprise mobility was a key area of focus when smartphones were introduced to the modern workplace. Since then enterprise mobility has evolved as business-as-usual for IT Teams. However, with the introduction of AI, organisations are being forced to re-evaluate and revamp their enterprise mobility solutions. As an example, it has made mobile app testing easier for tech teams. Mobile automation will help automate testing of a mobile app – across operating systems (Figure 4).  While more organisations tend to outsource their app development functions today, mobile automation reduces the testing time cycle, allowing faster app deployments – both for internal apps (increasing employee productivity and agility) and for consumer apps (improving CX).Adoption of AI for Mobile Automation

CX Teams within organisations are especially evaluating AI technologies. Visual and voice engagement technologies such as NLP, virtual assistants and chatbots enable efficient services, real-time delivery and better customer engagement. AI also allows organisations to offer personalised services to customers providing spot offers, self-service solutions and custom recommendations. Customer centres are re-evaluating their solutions to incorporate more AI-based solutions (Figure 5).

 

The buzz around AI is forcing tech teams to evaluate how AI can be leveraged in their enterprise solutions and at enabling technologies that will make AI adoption seamless. Has your organisation started re-evaluating other tech areas because of your AI requirements? Let us know in the comments below.


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