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)
Artificial Intelligence (AI), machine learning and deep learning are buzz words that have organisations – especially the C-Suite – excited about future possibilities of what technology can do for their business. However, these are not merely buzz words and are actually being leveraged by early adopters. At the same time, there are organisations that are keen to adopt the technologies but are unsure of the benefits and the associated challenges act as a barrier to adoption. So, is AI over-hyped or is it a reality for enterprises today? Ecosystm research provides some answers.
The Buzz Around Artificial Intelligence
There are several factors that contribute to the curiosity around AI and why several organisations are evaluating the adoption of AI:
Promotion by large tech vendors
The world’s leading technology providers are in a race to incorporate innovations (mostly driven by AI) within their product and service offerings. Heavy investments in R&D and new patents are aimed at increased market share, as the top tech vendors continue to compete to consolidate and grow their global presence. The perception is that AI-related patents are directly proportional to future market potential. It is not uncommon for the providers to promote these future capabilities – long before they hit the market – as part of their go-to-market messaging. There has been a surge in the number of AI patent filings in recent years with Microsoft leading with more than 18,300 patents followed by IBM (more than 15,000) and Samsung (more than 11,000). As these tech giants keep investing in R&D, apply for newer patents and publicise them, it creates a positive buzz in the market.
Consumerisation of AI
Just like any emerging technology, AI is still, to some extent, an enigma. However, the consumer market gets constant glimpses of how AI can have a positive impact on people’s lifestyle. Amazon, Samsung, Microsoft, Apple – to name a few – have all introduced smart AI solutions to their consumer products. From smart voice assistants that help us with our voice searches to controlling homes with digital assistants, users have been impressed with their early interactions with AI. Many think that the same way as AI has percolated into their personal lives, it will one day be pervasive in enterprises as well. The requirements of an enterprise AI solution is completely different and complex. For example, wearables and wellness mobile apps can help you take control of your health, but for them to become part of the healthcare system, they require FDA approval, a well-documented workflow and policy implementations. But, wearables get people curious and create a buzz about the role of AI in healthcare.
Government initiatives
Several governments are engaging and getting serious about AI and are investing in AI R&D. Many have created an AI roadmap including governance, to promote the adoption of AI. AI.gov was launched by the US Government to centralise AI efforts, share knowledge on AI and drive adoption across government agencies and departments. Some departments have already adopted AI. The US National Oceanic and Atmospheric Administration (NOAA) has been using AI to improve their forecasts. This helps in better prediction of high-impact weather events. Smart city applications are also seeing increased adoption of AI, including in citizen engagement. Cities and government departments are investing in AI-based call centres to answer repeated or routine queries. For example, the United States Army uses an interactive virtual assistant to check qualifications and answer questions with more accuracy. When governments back a technology area, it creates an interest in the citizens.
Success stories
Every day we read about some AI implementation that has positively impacted an organisation or its customers. Twitter’s use of AI-driven text and image analytics to detect hate speeches and terrorist activities has been well-publicised. Gaming companies are actively using AI to improve user experience through Mixed Reality and AI technologies. The recent coronavirus outbreak was first detected by BlueDot, a Canadian company using AI technologies. Such success stories encourage other enterprises to evaluate the technology.
Beyond the Buzz
While we are adopting AI/automation as part of our consumer goods (such as phones, smart home systems) and services (such as search engines, online maps) the enterprise adoption of AI does not really match up to the hype around it.
Ecosystm research shows us what the popular AI solutions are and what their current adoption is globally, as well as what it is likely to be at the end of the year (Figure 1). While some solutions have become popular, especially in industries such as Manufacturing, Mining & Resources and Construction, the reality is that we have not yet reached mass adoption. Of the organisations that are planning to implement some AI solutions, 44% consider the investment as strategic to their organisational goal. The rest are mostly looking at ad-hoc implementations to test the waters.
What is hampering more widespread adoption of AI? For both organisations that have embarked on their AI journeys and those who plan to in 2020, the challenges are the same (Figure 2).
AI integration is a complex process. The more organisations want to integrate AI investments into their transformation journey, the more complicated the integration becomes. There needs to be an identification of the expected outcomes, mapping of the data that will be required to help the algorithms, real-time or near real-time data sources and consistency in data infrastructure and sources. Organisations have legacy systems that run in siloes. Integration requires a clear roadmap and dedicated resources, often a third party.
Even in industries that have access to huge organisational data repositories, data access can be a challenge, for technological or compliance reasons. AI requires a huge amount of data to train and run algorithms. Data scientists are often challenged with access to quality training data at the scale required to train the AI systems.
Cybersecurity concerns are natural for any emerging technology area. AI systems have access to enormous organisational data. With threats ranging from ransomware, data breaches to hackers tampering with physical and industrial systems, it is dangerous if AI system falls in the hands of cybercriminals. Instances such as when criminals used an AI-based software to impersonate the voice of a company CEO to commit a €220,000 fraud, also add to the concerns around cybersecurity and AI.
Another reason why organisations find deploying AI solutions difficult is that they do not involve the right organisational stakeholders in the AI decision-making process (Figure 3). While IT is likely to know where the data resides and have a better understanding of the systems implemented, the true success of AI deployments will be measured in user acceptance. An AI solution will obviously impact the existent workflows in an organisation, and if the stakeholders are not convinced, or are unsure of the benefits, it will be difficult for AI to have an organisation-wide impact.
Moreover, internal IT may not have the right skills to implement and maintain an AI solution. It will become important for organisations to involve strategic partners who can guide the implementations, at least in the initial stages. While 51% of organisations that have an AI solution engage an external strategic partner, only 33% of organisations that are planning to adopt AI have planned for a strategic partner to guide them. A strategic partner – with the right technical expertise and business experience – can help combat some of the challenges around integration issues and provide guidance on cybersecurity best practices.
AI clearly has immense possibilities and indeed is a revolutionary technology that will bring value to almost all industries. What is required for a successful AI implementation however is a roadmap – including a cross-departmental Centre of Excellence (CoE), a clear timeframe and KPIs to measure both business and technological success of the AI models. Unless organisations can plan their AI investments, the technology will not translate from hype to reality.
In the Top 5 Cloud Trends for 2020, Principal Analyst Claus Mortensen observed that 2020 is a do-or-die year for Oracle if they wanted to remain as a key contender in the Cloud market. Mortensen said, “Oracle has not been able to break into Cloud in the same way as their competitors and has so far not made the same “leap of faith” into this area as similar companies have. Unless the company makes a clear decision about their Cloud strategy and succeeds in communicating it to the market in 2020, Oracle may quickly find itself more of a niche Cloud player going forward.”
Oracle’s intentions to remain one of the leading global Cloud providers becomes clear as they actively expand their global coverage. Last week Oracle announced that, as part of their ongoing regional expansion plan, they have added local regions in Jeddah (Saudi Arabia), Melbourne (Australia), Osaka (Japan), Montreal (Canada) and Amsterdam (The Netherlands). This expands the reach of Oracle’s Generation 2 Cloud to 21 independent locations, and Oracle intends to further add 15 locations by the end of 2020. At OpenWorld last year, Oracle had announced their plans to have Cloud sites dedicated to the enterprise market as well as government customers.
Dr Alea Fairchild, Principal Advisor Ecosystm, thinks that Oracle appreciates the needs of their enterprise customers. “Oracle understands the sensitivity of the enterprise to the location and availability of their data, which remains an issue with Cloud implementations involving large data sets. They have broken some ground as the first public Cloud vendor with data centres in Saudi Arabia, and are putting efforts in to offer a minimum of two regions in almost every country in which they operate,” says Dr Fairchild. “From a corporate user’s perspective, regional data management and appropriate licensing models are still sensitive spots when it comes to database management.”
Getting Ready for the Hybrid Cloud Market
Oracle also appears to be ramping up for the growing hybrid Cloud market. Ecosystm research shows that more than a third of global organisations have adopted the hybrid Cloud and this will only increase. Given the increased uptake of hybrid and multi-cloud environments, Oracle offers preconfigured links between Oracle and Microsoft Azure cloud regions in the eastern states of the US, London, and Toronto, as part of the Cloud interoperability partnership announced in June 2019. Last year, saw another mutually beneficial partnership between VMWare and Oracle, that supports their customers’ hybrid cloud strategies, allowing the VMware Cloud Foundation to run on Oracle Cloud Infrastructure. Organisations can also avail technical support for Oracle software running in VMware environments both in on-premise data centres and Oracle-certified cloud environments.
“Oracle’s Generation 2 Cloud is now available in 21 locations and is on track to have a total of 36 Cloud regions up and running by the end of the year,” adds Dr Fairchild. “But when compared to AWS, Microsoft and IBM, Oracle still holds a fraction of the market share. They can be seen as a niche infrastructure provider, but indeed the partnerships with Microsoft and VMware are set to help Oracle’s Cloud business make traction with companies that are adopting multi-cloud strategies.”
At the end of last year, Ecosystm published The Top 5 IoT Trends for 2020. Principal advisors, Kaushik Ghatak and Francisco Maroto predicted that in 2020 5G providers will be forced to operate outside their comfort zone. While the impact on network and communications equipment providers will be immense, 5G will also force telecom providers to re-think their existing business models. They may not be the best equipped to take 5G technology to market, they way the operate now.
Traditionally telecom providers have been focused on horizontal technologies and on connecting people. They have not had to have conversations around connecting machines – where every industry has their own unique use cases. This verticalisation, will force telecom providers to deal with newer stakeholders in their client organisations – not just IT infrastructure and Facilities. Several telecom providers have in the past become public cloud providers, as their markets becomes smaller and they face competition from global cloud storage providers. Now, telecom providers will increasingly look to partner with cloud providers and systems integrators with relevant industry experience, to translate the value proposition of what they are offering. “Strategic partnerships between leading technology and telecom operators are taking place especially in building various 5G use cases and applications centred on the cloud computing platform,” says Shamir Amanullah, Principal Advisor Ecosystm.
Maxis Strengthening their Market Position in Malaysia
The recently announced partnership between Maxis and Microsoft is an example of how these partnerships will pan out. Maxis does not want to be viewed only as a telecom provider and wants to be the leading Malaysia-based solutions provider. As telecom providers also start to tap the enterprise market, cloud and IoT will be key technology areas, that they should focus on.
“Maxis is leading the way as a converged solutions provider in Malaysia and following the appointment of Gökhan Ogut as the CEO in 2019, there has been a focus to grow the enterprise business which promises a lucrative opportunity,” says Amanullah.
“While the mobile connectivity market is effectively about customer retention in a saturated market, new opportunities lie in enterprise needs for fixed connectivity, managed services, cloud and IoT which is largely untapped. The expected deployment of the 5G network will spur new applications, business models and partnerships.”
Maxis’ move appears to be well-thought. Amanullah thinks that the strategic partnership with Microsoft will help Maxis accelerate its enterprise solutions offering combined IoT and 5G capabilities with Microsoft’s Azure IoT technology. It will also allow for hybrid environments, which is important given the rise of hybrid and multi-cloud adoption. Ecosystm research shows that hybrid cloud adoption in Malaysia is at a nascent 7%. But if they take a lesson from their neighbour, the rise in adoption will be steep. Our research finds that hybrid cloud adoption in Singapore is around 42%.
Telecom providers are also focusing on Digital Transformation (DX). In the Top 5 Telecommunications & Mobility Trends for 2020, Liam Gunson, Director Ecosystm says, “In 2020, operators will focus on transforming the core – remove unnecessary costs, improve customer experience, capture new opportunities – and on building telecom networks with scalability, flexibility, efficiency and agility.” Microsoft’s enterprise Modern Workplace solutions including Microsoft Teams will aid Maxis’ own DX efforts. Maxis will offer fixed line voice calls with the unified communications service.
Mutually Beneficial Partnership
Amanullah also sees this as a positive move for Microsoft. “Microsoft is poised to lead efforts in 5G network deployment which promises to enhance capabilities and drive new economic growth, especially with the focus on Industry 4.0. Maxis’ position as a leading enterprise communications provider and Microsoft’s enterprise technology experience and offerings promises a mutually beneficial partnership.”
Ecosystm research finds that Microsoft is the leading cloud provider in Malaysia when it comes to brand perception, and about a third of enterprise cloud deployments use Microsoft. Amanullah thinks that, “Microsoft’s leading position in cloud platforms is an attractive proposition for enterprises that are looking at speed, performance, reliability, global scale, security and lower costs.”
Talking about the 5G applications that the Malaysia market will see, Amanullah sees tremendous business opportunities in areas such as smart city, autonomous driving, smart traffic management, virtual reality (VR), augmented reality (AR), cloud gaming, and healthcare, to name a few.
With understanding and acceptance of blockchain increasing, enterprises have started adopting blockchain to store digital records in a secure and auditable manner. In May 2018, we saw Microsoft’s blockchain workbench focused on integrating data and systems and deployment of contracts and blockchain networks. In October 2018, Microsoft Azure joined forces with Nasdaq to integrate blockchain technology into Nasdaq’s framework with an expectancy to speed-up transactions on the stock exchange.
Following these announcements, this month Microsoft unveiled its fully managed Azure Blockchain Service, a package designed to simplify the processes and eliminate the pain points of blockchain networks. Microsoft Azure blockchain service will provide the required infrastructure, connection to services to develop, run and take advantage of applications on its Cloud-based platform.
To leverage blockchain Microsoft and J.P. Morgan announced a partnership to accelerate the adoption of enterprise blockchain. Quorum, an Ethereum-based distributed ledger protocol developed by J.P. Morgan will be the first ledger available through Azure Blockchain Service, on the cloud.
Joining the bandwagon, Starbucks will use Azure and the Ethereum blockchain to track coffee from farm to the cup. In the same way, with a forward-thinking approach, Microsoft and GE Aviation collaborated to bring blockchain into aviation. GE Aviation has built a supply chain track-and-trace blockchain with the help of Microsoft Azure to monitor and collate data in relation to aircraft engine parts, life cycle, when to repair, this technology that the group has come up with is termed as ‘TRUEngine’.
Unfolding blockchain for “regular” businesses and SMEs
Blockchain technology, by its very nature leads itself to the digital transformation journey of an enterprise. Blockchain can address some of the pitfalls of digital transformation such as identity, security, and trust. From digital identity to tokenisation to using smart contracts to automate businesses, blockchain technology is swiftly establishing itself as a key enabler of the emerging digitised enterprise.
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Speaking on the subject, Ecosystm’s Principal Advisor, Amit Sharma thinks that “For Small and Mid-Size Enterprise (SMEs), blockchain can simplify and automate processes related to Trade Finance which would mean less paperwork and automation in supply chains and it also opens up a huge alternative finance channel to deal with their cash flow challenges.” |
Overall the blockchain network should facilitate the interworking between IT systems, financial systems and ledgers that are today primarily managed in silos and require heavy manual processes.
Are we already there?
“All disruptive technology has a ‘tipping point’ – the exact moment when it moves from early adopters to widespread acceptance. We are now approaching the tipping point for blockchain. Even though the development of blockchain for business is still in its early stages, business leaders have swiftly moved from understanding blockchain and its potential uses to running pilots,” says Sharma.
Blockchain has attracted attention across industries such as financial services, transportation and shipping, healthcare, energy and utilities, and supply chain management.
These share some common themes. Blockchain is a natural fit for use cases that are transactional but with a high degree of process complexity or volume. Blockchain will become the default technology wherever there is a need to ensure the integrity of data.
Blockchain Adoption by Organisations
Despite the flurry of activity and promising initial developments, blockchain faces a number of obstacles that will need to be overcome before companies choose to adopt it on a broader scale. Its decentralised network runs counter to the current business emphasis on centralising data or functions to support security efforts. Users and operators alike must shift their mindset to embrace and trust the system.“Among blockchain’s selling points is its security: high encryption and protocols. Since the general public largely doesn’t understand how the technology works, many still have concerns with data privacy and cyber security” says Sharma. “As with all new technology, when it comes to blockchain, business leaders should view any initial use cases as part of their enterprise risk management. Executives are attuned to the business and risk implications of blockchain. And in many cases, blockchain, like other technology platforms and systems, can be covered under existing insurance programs.”
Implementation by the large technology providers
“With the large technology providers such as Microsoft and AWS now offering BaaS (Blockchain-as-a-Service) over multiple frameworks supported by a ‘Pay as you use’ model, this technology is much more accessible. Pre-built integrations to the network and infrastructure services that are being offered by some of these players will significantly reduce the development time and cost for enterprise customers” says Sharma.
The next several years could see blockchain move from testbed to becoming an essential business tool, so staying abreast of the latest developments and how it is being used will be critical.