We have all felt the effects of the global pandemic and experienced the profound effects on the way we work – at least those of us who are fortunate enough to still be working despite the pandemic.
COVID-19 has – at least for a while – changed how we work and how IT systems can safely support this new work style.
Our ongoing Ecosystm study on Digital Priorities in the New Normal shows how the crisis has forced organisations to re-evaluate their cybersecurity risks and measures. It also showed that the IT environment of most organisations was woefully unprepared for the changes that occurred (Figure 1). Perhaps unsurprisingly, fewer than 7% said that their IT environment was fully prepared and close to 40% reported lacking scale, capacity and IT skills in-house.
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The combination of these shortcomings may very well push more organisations to outsource their security management to Managed Security Service Providers (MSSPs) – a service space that has been growing rapidly in recent years.
Many IT organisations are fairly familiar with MSSPs, but COVID-19 may have forced many to re-evaluate their choices as the work and threat landscapes have changed.
To help organisations evaluate their options going forward, we at Ecosystm are extremely excited to launch our Managed Security Service Providers VendorScope for the Asia Pacific region.
This new tool can help technology buyers understand which vendors are leading this space, which are the ones that have market momentum and which are executing and delivering on their promised capabilities. Unlike similar vendor evaluations on the market, the positioning of vendors in Ecosystm VendorScopes is based solely on quantifiable feedback given by the Tech Buyer community, in the global Ecosystm Cybersecurity Study, that is live and ongoing on the Ecosystm platform. It is thus independent of analyst bias or opinion or vendor influence – customers directly rate their suppliers in our ongoing market benchmarks and assessments.
It is also free to access and share for all Ecosystm subscribers!
Fragmented Asia Pacific MSSP Market
The VendorScope clearly shows how fragmented the MSSP market is. Not only is the number of vendors that have a customer base significant enough to appear on the grid very large (22) – but about half of them are in, or verging on being in, the “Front Runner” segment (Figure 2).
There are a few key factors that contribute to this picture:
- The services they offer tend to align well with the customers’ organisational strategies and to integrate well with existing systems. This, basically, can be boiled down to one word: Cloud. Most organisations have IT strategies revolving around multiple and/hybrid cloud deployments and using MSSPs makes a lot of sense.
- Momentum for this service segment is generally high. The MSSP space is experiencing high growth these days and we see a fairly high number of mentions for both current and planned deployments with many of the vendors in the study.
Despite the large number of vendors in the “Front Runner” segment, a famous few stick out. IBM appears to have a higher market momentum than its competitors and together with Microsoft, they have the largest share of mind with potential customers in this space.
But other vendors are hot on their heels. AWS and F5 stand out with their relatively high presence in the region, and TCS and Huawei appear to have stronger than average pipelines.
Where we do see weak spots with most vendors is in quality of service and the connected customer experience, which historically have proven to be a potential Achilles’ heel for many vendors in high growth areas. As the MSSP space matures, we would expect customer experience to become increasingly important when customers choose a service provider.
We would certainly encourage any organisation that is looking into managed security to not ignore or downplay the customer service and support aspect. IT security is a complex area – even if it is managed by a service provider – and the service providers’ ability and flexibility in this area can make a huge difference.
Fujitsu and HPE stick out with regards to QoS and customer service. These two are also good examples of how the vendors differ and seemingly could complement each other. In a sense, one could almost see the MSSP VendorScope as an early blueprint for which mergers and acquisitions (M&As) would make sense – at least for those that are driven by the pursuit of skill sets and competencies and not just market share.
In the Top 5 Cybersecurity and Compliance Trends for 2020, Ecosystm predicted that 2020 will witness a significant uplift in M&A activities in the cybersecurity market. Of course, with the global pandemic, all bets are off, and the predicted M&A wave may have been delayed by a year or so.
But the MSSP space certainly appears ripe for consolidation.
Ecosystm Vendorscope: Managed Security Service Providers
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As organisations aim to maintain operations during the ongoing crisis, there has been an exponential increase in employees working from home and relying on the Workplace of the Future technologies. 41% of organisations in an ongoing Ecosystm study on the Digital Priorities in the New Normal cited making remote working possible as a key organisational measure introduced to combat current workplace challenges.
Ecosystm Principal Advisor, Audrey William says, “During the COVID-19 pandemic, people have become reliant on voice, video and collaboration tools and even when things go back to normal in the coming months, the blended way of work will be the norm. There has been a surge of video and collaboration technologies. The need to have good communication and collaboration tools whether at home or in the office has become a basic expectation especially when working from home. It has become non-negotiable.”
William also notes, “We are living in an ‘Experience Economy’ – if the user experience around voice, video and collaboration is poor, customers will find a platform that gives them the experience they like. To get that equation right is not easy and there is a lot of R&D, partnerships and user experience design involved.”
AWS and Slack Partnership
Amid a rapid increase in remote working requirements, AWS and Slack announced a multi-year partnership to collaborate on solutions to enable the Workplace of the Future. This will give Slack users the ability to manage their AWS resources within Slack, as well as replace Slack’s voice and video call features with AWS’s Amazon Chime. And AWS will be using Slack for their internal communication and collaboration.
Slack already uses AWS cloud infrastructure to support enterprise customers and have committed to spend USD 50 million a year over five years with AWS. However, the extended partnership is promising a new breed of solutions for the future workforce.
Slack and AWS are also planning to tightly integrate key features such as: AWS Key Management Service with Slack Enterprise Key Management (EKM) for better security and encryption; AWS Chatbot to push AWS Virtual machines notifications to Slack users; and AWS AppFlow to secure data flow between Slack, AWS S3 Storage and AWS Redshift data warehouse.
The Competitive Landscape
The partnership between AWS and Slack has enabled Slack to scale and compete with more tools in its arsenal. The enterprise communication and collaboration market is heating up with announcements such as Zoom ramping up its infrastructure on Oracle Cloud. The other major cloud platform players already have their own collaboration offerings, with Microsoft Teams and Google Meet. The AWS-Slack announcement is another example of industry players looking to improve their offerings through partnership agreements. Slack is already integrated with a number of Microsoft services such as OneDrive, Outlook and SharePoint and there was talk of being integrated with Microsoft Teams earlier this year. Similarly, Slack has also integrated some GSuite tools on its platform.
“There is a battle going on now in the voice, video and collaboration space and there are many players that offer rich enterprise grade capabilities in this space. AWS is already Slack’s “preferred” cloud infrastructure provider, and the two companies have a common rival in Microsoft, competing with its Azure and Teams products, respectively,” says William.
The Single Platform Approach
The competition in the video, voice and collaboration market in becoming increasingly intense and the ability to make it easy for users across all functions on one common platform is the ideal situation. This explains why we have seen vendors in recent months adding greater capabilities to their offerings. For instance, Zoom added Zoom phone functionality to expand its offerings to users. Avaya released Spaces – an integrated cloud meeting and team collaboration solution with chat, voice, video, online meetings, and content sharing capabilities. The market also has Cisco as an established presence, providing video and voice solutions to many large organisations.
Organisations want an all-in-one platform for voice, video and collaboration if possible as it makes it easier for management. Microsoft Teams is a single platform for enterprise communications and collaboration. William says, “Teams has seen steady uptake since its launch and for many IT managers the ability to capture all feedback, issues/logs on one platform is important. Other vendors are pushing the one vendor platform option heavily; for example, 8×8 has been able to secure wins in the market because of the one vendor platform push.”
“As the competition heats up, we can expect more acquisitions and partnerships in the communications and collaboration space, in an effort to provide all functions on a single platform,” says William. “However, irrespective of what IT Teams want, we are still seeing organisations use different platforms from multiple vendors. This is a clear indication that in the end there is only one benefit that organisations seek – quality of experience.”
In his blog, The Cybercrime Pandemic, Ecosystm Principal Advisor, Andrew Milroy says, “Remote working has reached unprecedented levels as organisations try hard to keep going. This is massively expanding the attack surface for cybercriminals, weakening security and leading to a cybercrime pandemic. Hacking activity and phishing, inspired by the COVID-19 crisis, are growing rapidly.” Remote working has seen an increase in adoption of cloud applications and collaborative tools, and organisations and governments are having to re-think their risk management programs.
We are seeing the market respond to this need and May saw initiatives from governments and enterprises on strengthening risk management practices and standards. Tech vendors have also stepped up their game, strengthening their Cybersecurity offerings.
Market Consolidation through M&As Continues
The Cybersecurity market is extremely fragmented and is ripe for consolidation. The last couple of years has seen some consolidation of the market, especially through acquisitions by larger platform players (wishing to provide an end-to-end solution) and private equity firms (who have a better view of the Cybersecurity start-up ecosystem). Cybersecurity providers continue to acquire niche providers to strengthen their end-to-end offering and respond to market requirements.
As organisations cope with remote working, network security, threat identification and identity and access management are becoming important. CyberArk acquired Identity as a Service provider Idaptive to work on an AI-based identity solution. The acquisition expands its identity management offerings across hybrid and multi-cloud environments. Quick Heal invested in Singapore-based Ray, a start-up specialising in next-gen wireless and network technology. This would benefit Quick Heal in building a safe, secure, and seamless digital experience for users. This investment also shows Quick Heal’s strategy of investing in disruptive technologies to maintain its market presence and to develop a full-fledged integrated solution beneficial for its users.
Another interesting deal was Venafi acquiring Jetstack. Jetstack’s open-source Kubernetes certificate manager controller – cert-manager – with a thriving developer community of over 200 contributors, has been used by many global organisations as the go-to tool for using certificates in the Kubernetes space. The community has provided feedback through design discussion, user experience reports, code and documentation contributions as well as serving as a source for free community support. The partnership will see Venafi’s Machine Identity Protection having cloud-native capabilities. The deal came a day after VMware announced its intent to acquire Octarine to extend VMware’s Intrinsic Security Capabilities for Containers and Kubernetes and integrate Octarine’s technology to VMware’s Carbon Black, a security company which VMware bought last year.
Cybersecurity vendors are not the only ones that are acquiring niche Cybersecurity providers. In the wake of a rapid increase in user base and a surge in traffic, that exposed it to cyber-attacks (including the ‘zoombombing’ incidents), Zoom acquired secure messaging service Keybase, a secure messaging and file-sharing service to enhance their security and to build end-to-end encryption capability to strengthen their overall security posture.
Governments actively working on their Cyber Standards
Governments are forging ahead with digital transformation, providing better citizen services and better protection of citizen data. This has been especially important in the way they have had to manage the COVID-19 crisis – introducing restrictions fast, keeping citizens in the loop and often accessing citizens’ health and location data to contain the disaster. Various security guidelines and initiatives were announced by governments across the globe, to ensure that citizen data was being managed and used securely and to instil trust in citizens so that they would be willing to share their data.
Singapore, following its Smart Nation initiative, introduced a set of enhanced data security measures for public sector. There have been a few high-profile data breaches (especially in the public healthcare sector) in the last couple of years and the Government rolled out a common security framework for public agencies and their officials making them all accountable to a common code of practice. Measures include clarifying the roles and responsibilities of public officers involved in managing data security, and mandating that top public sector leadership be accountable for creating a strong organisational data security regime. The Government has also empowered citizens to raise a flag against unauthorised data disclosures through a simple incident report form available on Singapore’s Smart Nation Website.
Australia is also ramping up measures to protect the public sector and the country’s data against threats and breaches by issuing guidelines to Australia’s critical infrastructure providers from cyber-attacks. The Australian Cyber Security Centre (ACSC) especially aims key employees working in services such as power and water distribution networks, and transport and communications grids. In the US agencies such as the Cybersecurity and Infrastructure Security Agency (CISA) and the Department of Energy (DOE) have issued guidelines on safeguarding the country’s critical infrastructure. Similarly, UK’s National Cyber Security Centre (NCSC) issued cybersecurity best practices for Industrial Control Systems (ICS).
Cyber Awareness emerges as the need of the hour
While governments will continue to strengthen their Cybersecurity standards, the truth is Cybersecurity breaches often happen because of employee actions – sometimes deliberate, but often out of unawareness of the risks. As remote working becomes a norm for more organisations, there is a need for greater awareness amongst employees and Cybersecurity caution should become part of the organisational culture.
Comtech received a US$8.4 million in additional orders from the US Federal Government for a Joint Cyber Analysis Course. The company has been providing cyber-training to government agencies in the communications sector. Another public-private partnership to raise awareness on Cybersecurity announced in May was the MoU between Europol’s European Cybercrime Centre (EC3) and Capgemini Netherlands. With this MoU, Capgemini and Europol are collaborating on activities such as the development of cyber simulation exercises, capacity building, and prevention and awareness campaigns. They are also partnered on a No More Ransomware project by National High Tech Crime Unit of the Netherlands’ Police, Kaspersky and McAfee to help victims fight against ransomware threats.
The Industry continues to gear up for the Future
Technology providers, including Cybersecurity vendors, continue to evolve their offerings and several innovations were reported in May. Futuristic initiatives such as these show that technology vendors are aware of the acute need to build AI-based cyber solutions to stay ahead of cybercriminals.
Samsung introduced a new secure element (SE) Cybersecurity chip to protect mobile devices against security threats. The chip received an Evaluation Assurance Level (EAL) 6+ certification from CC EAL – a technology security evaluation agency which certifies IT products security on a scale of EAL0 to EAL7. Further applications of the chip could include securing e-passports, crypto hardware wallets and mobile devices based on standalone hardware-level security. Samsung also introduced a new smartphone in which Samsung is using a chipset from SK Telecom with quantum-crypto technology. This involves Quantum Random Number Generator (QRNG) to enhance the security of applications and services instead of using normal random number generators. The technology uses LED and CMOS sensor to capture quantum randomness and produce unpredictable strings and patterns which are difficult to hack. This is in line with what we are seeing in the findings of an Ecosystm business pulse study to gauge how organisations are prioritising their IT investments to adapt to the New Normal. 36% of organisations in the Asia Pacific region invested significantly in Mobile Security is a response to the COVID-19 crisis.
The same study reveals that nearly 40% of organisations in the region have also increased investments in Threat Analysis & Intelligence. At the Southern Methodist University in Texas, engineers at Darwin Deason Institute for Cybersecurity have created a software to detect and prevent ransomware threats before they can occur. Their detection method known as sensor-based ransomware detection can even spot new ransomware attacks and terminates the encryption process without relying on the signature of past infections. The university has filed a patent for this technique with the US Patent and Trademark Office.
Microsoft and Intel are working on a project called STAMINA (static malware-as-image network analysis). The project involves a new deep learning approach that converts malware into grayscale images to scan the text and structural patterns specific to malware. This works by converting a file’s binary form into a stream of raw pixel data (1D) which is later converted into a photo (2D) to feed into image analysis algorithms based on a pre-trained deep neural network to scan and classify images as clean or infected.
I’m really excited to launch our AI and Automation VendorScope! This new tool can help technology buyers understand which vendors are offering an exceptional customer experience, which ones have momentum and which are executing and delivering on their promised capabilities. The positioning of vendors in Ecosystm VendorScopes is independent of analyst bias or opinion or vendor influence – customers directly rate their suppliers in our ongoing market benchmarks and assessments.
The Evolution of the AI Market
The AI market has evolved significantly over the past few years. It has gone from a niche, poorly understood technology, to a mainstream one. Projects have moved from large, complex, moonshot-style “change the world” initiatives to small, focused capabilities that look to deliver value quickly. And they have moved from primarily internally focused projects to delivering value to customers and partners. Even the current pandemic is changing the lens of AI projects as 38% of the companies we benchmarked in Asia Pacific in the Ecosystm Business Pulse Study, are recalibrating their AI models for the significant change in trading conditions and customer circumstances.
Automation has changed too – from a heavily fragmented market with many specific – and often very simple tools – to comprehensive suites of automation capabilities. We are also beginning to see the use of machine learning within the automation platforms as this market matures and chases after the bigger automation opportunities where processes are not only simplified but removed through intelligent automation.
Cloud Platform Providers Continue to Lead
But what has changed little over the years is the dominance of the big cloud providers as the AI leaders. Azure, IBM and AWS continue to dominate customer mentions and intentions. And it is in customer mentions that the frontrunners in the VendorScope – Microsoft and IBM – set themselves apart. Not only are they important players today – but existing customers AND non-customers plan to use their services over the next 12-24 months. This gives them the market momentum over the other players. Even AWS and Google – the other two public cloud giants – who also have strong AI offerings – didn’t see the same proportions of customers and prospects planning to use their AI platforms and tools.
While Microsoft and IBM may have stolen the lead for now, they cannot expect the challengers to sit still. In the last few weeks alone we have seen several major launches of AI capabilities from some providers. And the Automation vendors are looking to new products and partnerships to take them forward.
Without the market momentum, Microsoft and IBM would still stand above the rest of the pack – just not as dramatically! Both companies are not just offering the AI building blocks, but also offer smart applications and services – this is possibly what sets them apart in an era where more and more customers want their applications to be smart out-of-the-box (or out-of-the-cloud). The appetite for long, expensive AI projects is waning – fast time to value will win deals today.
The biggest change in AI over the next few years will hopefully be more buyers demanding that their applications are smart out-of-the-box/cloud. AI and Automation shouldn’t be expensive add-ons – they should form the core of smart applications – applications that work for the business and for the customer. Applications that will deliver the next generation of employee and customer experiences.
Ecosystm Vendorscope: AI & Automation
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The COVID-19 crisis has forced countries to implement work from home policies and lockdowns. Since the crisis hit, uptake of cloud communication and collaboration solutions have seen a dramatic increase. Video conferencing provider, Zoom has emerged as a key player in the market, with a rapid increase in user base from 10 million daily active participants in December 2019 to 200 million in March 2020 – a growth in the number of users of nearly 200%!
Security Concerns around Zoom
The rapid increase in user base and the surge in traffic has required Zoom to re-evaluate its offerings and capacity. The platform was primarily built for enterprises and now is seeing unprecedented usage in conducting team meetings, webinars, virtual conferences, e-learning, and social events.
The one area where they were impacted most is security. In his report, Cybersecurity Considerations in the COVID-19 Era, Ecosystm Principal Advisor Andrew Milroy says, “The extraordinary growth of Zoom has made it a target for attackers. It has had to work remarkably hard to plug the security gaps, identified by numerous breaches. Many security vulnerabilities have been discovered with Zoom such as, a vulnerability to UNC path injection in the client chat feature, which allows hackers to steal Windows credentials, keeping decryption keys in the cloud which can potentially be accessed by hackers and the ability for trolls to ‘Zoombomb’ open and unprotected meetings.”
“Zoom largely responded to these disclosures quickly and transparently, and it has already patched many of the weaknesses highlighted by the security community. But it continues to receive rigorous stress testing by hackers, exposing more vulnerabilities.”
However, Milroy does not think that this issue is unique to Zoom. “Collaboration platforms tend to tread a fine line between performance and security. Too much security can cause performance and usability to be impacted negatively. Too little security, as we have seen, allows hackers to find vulnerabilities. If data privacy is critical for a meeting, then perhaps collaboration platforms should not be used, or organisations should not share critical information on them.”
Zoom to increase Capacity and Scalability
Zoom is aware that it has to increase its service capacity and scalability of its offerings, if it has to successfully leverage its current market presence, beyond the COVID-19 crisis. Last week Zoom announced that that it had selected Oracle as its cloud Infrastructure provider. One of the reasons cited for the choice is Oracle’s “industry-leading security”. It has been reported that Zoom is transferring more than 7 PB of data through Oracle Cloud Infrastructure servers daily.
In addition to growing their data centres, Zoom has been using AWS and Microsoft Azure as its hosting providers. Milroy says, “It makes sense for Zoom to use another supplier rather than putting ‘all its eggs in one or two baskets’. Zoom has not shared the commercial details, but it is likely that Oracle has offered more predictable pricing. Also, the security offered by the Oracle Cloud Infrastructure deal is likely to have impacted the choice and it is likely that Oracle has also priced its security features very competitively.”
“It must also be borne in mind that Google, Microsoft and Amazon are all competing directly with Zoom. They all offer video collaboration platforms and like Zoom, are seeing huge growth in demand. Zoom may not wish to contribute to the growth of its competitors any more than it needs to.”
Milroy sees another benefit to using Oracle. “Oracle is known to have a presence in the government sector – especially in the US. Working with Oracle might make it easier for Zoom to win large government contracts, to consolidate its market presence.”
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April saw the disruption of normal business operations due to the COVID-19 crisis. However, telecommunications companies continued initiatives to identify the best ways to serve customers and enterprises. The month saw a lot of activity in the 5G space across the globe, including partnerships, innovation in productisation and identifying 5G use cases.
Telecom providers building their 5G capabilities
Ecosystm Principal Advisor, Shamir Amanullah noted in his blog that in the new normal telecom providers have fast evolved as the backbone of business and social interactions. Telecom operators are fervently working towards 5G network and services deployment in order to be an early mover in the market. In China, China Mobile has been one of the leaders in rolling out country-wide 5G. The tender to build around 250,000 fifth-generation wireless network base stations across 28 provincial regions was put out in March and in early April, Huawei emerged as the key winner with the contract to build nearly 60% of the base stations. ZTE also won nearly a third of the contract. Global network equipment providers will find entering the China market as challenge for a number of reasons, including the strength of their local players.
Huawei continues to be under scrutiny in the global market, however British telecom provider chose Ericsson to build the core of its 5G network. BT hopes to create and define a future roadmap of new services such as mobile edge computing, network slicing, enhanced mobile broadband and various enterprise services. The US market is another arena where the battle for 5G will be fought out. The T-Mobile – Sprint merger was finalised in early April. The New T-Mobile is committed to building the world’s best nationwide 5G network, which will bring lightning-fast speeds to urban areas and underserved rural communities alike. Other vendors are also vying for a larger share of the US market. Nex-Tech Wireless, a smaller rural telecom provider based in Kansas, is planning to transition from 4G to 5G by using Ericsson’s Dynamic Spectrum Sharing (DSS) to deploy 5G on existing bands. This will help Next-Tech wireless to leverage existing assets instead of building 5G capabilities from the ground-up – enabling them to seamlessly transfer from 4G to 5G.
The 5G developments are by no means limited mostly to the US and China. Korea’s telecom provider, KT and Far EasTone Taiwan (FET) signed an MOU to collaborate and jointly develop 5G services and digital content. With this deal, KT plans to boost its 5G powered content and services presence through FET.
Tech Vendors evolving their 5G offerings
Network and communications equipment providers have much to gain and more to lose as organisations look to leverage 5G for their IoT use cases. If 5G uptake does not take off, the bigger losers will be the network and communications equipment providers – the real investors in the technology. Also, as telecom providers look to monetise 5G they will find themselves dealing with a completely different customer base – they will take help from tech vendors that have more experience in the enterprise space, as well as industry expertise. Both network equipment vendors and other tech vendors are actively evolving their product offerings. There were numerous examples of this in April.
Microsoft’s decision to acquire Affirmed Networks is an example of how the major cloud providers are trying to be better embedded with 5G capabilities. This month also saw Microsoft announce Azure Edge Zones aimed at reducing latency for both public and private networks. AT&T is a good example of how public carriers will use the Azure Edge Zones. As part of the ongoing partnership with Microsoft, AT&T has already launched a Dallas Edge Zone, with another one planned for Los Angeles, later in the year. Microsoft also intends to offer the Azure Edge Zones, independent of carriers in denser areas. They also launched Azure Private Edge Zones for private enterprise networks suitable for delivering ultra-low latency performance for IoT devices.
The examples go beyond the cloud platform providers. Samsung and Xilinx, have joined forces to enable 5G deployments, with Samsung aiming to use the Xilinx Versal adaptive compute acceleration platform (ACAP) for worldwide 5G commercial deployments. Versal ACAP offers the compute density at low power consumption to perform the real-time, low-latency signal processing needed by 5G. Following the successful pilot of 450 MHz proof of concept 5G network, Nokia has partnered with PGE Systemy, a large energy sector company in Poland to deploy industrial grade 5G solutions and to support energy distribution for its next gen power grid. It is the band of choice for machine-to-machine communications in the energy sector, including smart meters. Nokia also released an AI-as-a-service offering – Nokia AVA 5G cognitive operations – to help telecom providers transform their services with AI-based solutions to support, network, business and operations.
Use cases for 5G adoption firming up
5G promises to revolutionise various industry solutions based on required data rates, low latency, reliability, and machine-type communications. Telecom providers and tech vendors alike are working on developing industry use cases to drive up adoption.
Vodafone Qatar and Dreama Orphan Care Centre and Protection Social Rehabilitation Centre (AMAN) have collaborated to support remote learning and education using 5G technology. This is aimed to enhance virtual education through e-learning, online schools, and connecting teachers and students through high-speed learning environment. In the post-COVID 19 era remote learning is expected to become a key sector and there is immense potential for uptake.
The Manufacturing industry remains a top focus area for 5G providers, with their early adoption of sensors and sensor data analytics. The Smart Internet Lab at the University of Bristol, UK has been awarded a 2 years project by UK’s Department for Digital, Culture, Media and Sport (DCMS) to enable 5G connectivity for the manufacturing sector. The project will primarily work on improving productivity and manufacturing, easy asset tracking and management with involvement of AR/VR technologies and industrial system management.
Gaming is another sector with huge potential for 5G adoption. With cloud gaming, gamers can access a library of popular high-quality games minus the need for expensive hardware which has been the case in the past. China Mobile Hong Kong and Ubitus teamed up to launch a 5G cloud gaming service – UGAME. The application is available for download from the Google Play store. While still at a beta phase, the telecom provider promises a revolutionary gaming experience, where the need for computers or consoles will be lessened by augmented smartphone capabilities.
In the midst of the uncertainties, telecom, network equipment providers and cloud platform providers appear to be gearing up for 5G in enabling a contactless and remote economy.
In The Top 5 Cloud trends for 2020, Ecosystm Principal Analyst, Claus Mortensen had predicted that in 2020, cloud and IoT will drive edge computing.
“Edge computing has been widely touted as a necessary component of a viable 5G setup, as it offers a more cost-effective and lower latency option than a traditional infrastructure. Also, with IoT being a major part of the business case behind 5G, the number of connected devices and endpoints is set to explode in the coming years, potentially overloading an infrastructure based fully on centralised data centres for processing the data,” says Mortensen.
Although some are positioning the Edge as the ultimate replacement of cloud, Mortensen believes it will be a complementary rather than a competing technology. “The more embedded major cloud providers like AWS and Microsoft can become with 5G providers, the better they can service customers, who want to access cloud resources via the mobile networks. This is especially compelling for customers who need very low latency access.”
Affirmed Networks Brings Microsoft to the 5G Infrastructure Table
Microsoft recently announced that they were in discussions to acquire Affirmed Networks, a provider of network functions virtualisation (NFV) software for telecom operators. The company’s existing enterprise customer base is impressive with over 100 major telecom customers including big names such as AT&T, Orange and Vodafone. Affirmed Networks’ recently appointed CEO, Anand Krishnamurthy says that their virtualised cloud-native network, Evolved Packet Core, allows for scale on demand with a range of automation capabilities, at 70% of the cost of traditional networks. The telecom industry has been steadily moving away from proprietary hardware-based infrastructure, opting for open, software-defined networking (SDN). This acquisition will potentially allow Microsoft to leverage their Azure platform for 5G infrastructure and for cloud-based edge computing applications.
Ecosystm Principal Advisor, Shamir Amanullah says, “The telecommunications industry is suffering from a decline in traditional services leading to a concerted effort in reducing costs and introducing new digital services. To do this in preparation for 5G, carriers are working towards transforming their operations and business support systems to a more virtualised and software-defined infrastructure. 5G will be dynamic, more than ever before, for a number of reasons. 5G will operate across a range of frequencies and bands, with significantly more devices and connections, highly software-defined with computing power at the Edge.”
Microsoft is by no means the only tech giant that is exploring this space. Google recently announced a new solution, Anthos for Telecom and a new service called the Global Mobile Edge Cloud (GMEC), aimed at giving telecom providers compute power on the Edge. At about the same time, HPE announced a new portfolio of as-a-service offering to help telecom companies build and deploy open 5G networks. Late last year, AWS had launched AWS Wavelength that promises to bring compute and storage services at the edge of telecom providers’ 5G networks. Microsoft’s acquisition of Affirmed Networks brings them to the 5G infrastructure table.
Microsoft Continues to Focus on 5G Offerings
The acquisition of Affirmed Networks is not the only Microsoft initiative to improve their 5G offerings. Last week also saw Microsoft announce Azure Edge Zones aimed at reducing latency for both public and private networks. AT&T is a good example of how public carriers will use the Azure Edge Zones. As part of the ongoing partnership with Microsoft, AT&T has already launched a Dallas Edge Zone, with another one planned for Los Angeles, later in the year. Microsoft also intends to offer the Azure Edge Zones, independent of carriers in denser areas. They also launched Azure Private Edge Zones for private enterprise networks suitable for delivering ultra low latency performance for IoT devices.
5G will remain a key area of focus for cloud and software giants. Amanullah sees this trend as a challenge to infrastructure providers such as Huawei, Ericsson and Nokia. “History has shown how these larger software providers can be fast, nimble, innovative, and extremely customer-centric. Current infrastructure providers should not take this challenge lightly.”
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).
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).
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).
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).
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.
Innovation is quite an apt subject to write about – given we are coming to the close of an extremely innovative decade. Contrary to popular conception however, the word innovation is not limited to startups – corporates have ample opportunities to innovate and there are plenty of examples to inspire us.
In the technology industry, the turning point was the rapid scale-up of Amazon Web Services (AWS) – originating from the mothership, they defied all odds and forever changed the way we consume technology, making it more accessible through their cloud offerings. While AWS took the world by storm, most competitors have struggled because they are slow to adapt and transform. For them, this age of innovation has become a burden. The one exception is Microsoft – perhaps the true giant of the industry – that pivoted, and now constant innovation is seeing them consistently jostle for the leadership position. The underlying success factor for innovations is speed – it is of the essence when innovating.
Most companies are unable to promote a culture of innovation into their system, fast enough. Mainly because they are afraid of stumbling on the classic difficulties: “cannibalisation” of the existing business, impossibility to predict with certainty the results of innovation, lack of funding, internal conflict and one-upmanship, lack of understanding of technologies or the challenges of innovation management. Not to mention that taking risks isn’t well regarded in most companies. Most leaders fall in the long-standing tradition of annual P&L management. It’s that temptation of getting by another year of achieving targets. In the end, we are what we measure. The final metric always has to be increased profitability – but it’s all about defining the timescale. Once that’s sorted, the milestones and metrics make Success easier to measure.
The reality is also that the one rarest commodity for innovation is the vision and managed risk-taking ability of the leadership. For this reason, many companies prefer to create a dedicated independent team of corporate mavericks, specifically aimed at innovation. But eventually, the success of these teams is based on rapidly incorporating the innovations into the business – it must reflect in the core corporate ethos of the organisation. Experts debate the benefits of centralised versus decentralised innovation, but what’s most important is to have a dedicated capacity. If innovation is 10% of 100 people’s responsibility, you can rest assured that little innovation will take place. But if it’s 100% of 10 people’s jobs, things will start to happen. Speed is partly born of the priority that is put on it, so assigning - and incentivising - a dedicated team with the job of moving fast is an essential organisational step to innovation.
Easier said than done you say? It becomes even more challenging when you’re trying to achieve this in a large corporate environment. What AWS achieved is world-changing, and one cannot comprehend the vision, capabilities and execution par excellence of the leadership and the team. However, they were building from scratch with a blank canvas – they had the capital, a proven organisational culture of building and arguably one of the strongest leaderships in our generation. But for Microsoft, the storyboard was different. In order to innovate, they had to change the status quo. Yes, they had capital – tons of it – however, they also carried tremendous ‘baggage’. Ironically, it’s this baggage that corporations strive to achieve and only some manage – it’s called ‘legacy’. It can come back to bite you and hold you back when you need to rapidly adapt and innovate. But that is what Microsoft achieved – they overcame the fear of cannibalisation, put aside all the internal posturing and one-upmanship and more importantly, built a culture of innovation. Something that was led impeccably by Satya Nadella who allowed rapid innovation and ensured that the entire organisation got behind the ‘cloud-first’ vision.
Companies that are built for speed react more quickly to competitor moves or market shifts with their own product innovations. Fast innovators test prototypes with customers, worrying less about the imperfections that they know are there and focusing more on the insights they may gain from consumer reactions and feedback. They also fail several times – but they fail fast and cheap.
To sum it up, organisations that innovate successfully are fast to respond to the market, are led by a vision, have a culture of innovation, are not afraid to fail and they don’t ever let perfect get in the way of better!
As published in the tabla! (An SPH Publication)