Initiatives such as the UK Crown Commercial Service (CCS) and Google Cloud agreement will also help in the recovery phase. This allows qualified public sector agencies to avail of a discounted price for their Google Cloud deployments. Earlier in the year CCS entered into a price arrangement with Microsoft as well. If Cloud has to be the vehicle for economic recovery, such arrangements will benefit cash-strapped public sector organisations.
The recovery will also require the entire technology ecosystem to engage not only with large enterprises but also small and medium enterprises (SMEs). Alibaba Cloud announced an investment of US$ 283 million to revamp its global partner program. They plan to introduce new partner-customer communication processes to enhance response time and bring more opportunities to independent software vendors (ISVs) managed service providers (MSPs) and system integrators (SIs) as partners.
Europe Emerging as a Cloud Hub
As a fallout of the current political scenario, Europe is pushing for more cloud independence and to become an innovation hub as a vendor-neutral network for cloud computing providers and their customers.
GAIA-X Foundation is a federated data infrastructure project initiated to build a unified system of cloud and data services to be protected by EU Laws – including GDPR, the free flow of non-personal data regulation and the Cybersecurity Act. France and Germany kicked off the GAIA-X cloud project last year and the system is open for participation to national and European initiatives for exchange of data across industries and services such as AI, IoT and data analytics. GAIA-X took another step towards becoming a real option for European organisations with the establishment as a legal entity in June. Various organisations – including Dassault, Orange, Siemens, SAP, Atos, Scaleway and Deutsche Telekom are a part of this non-profit platform, working together on Cloud applications, high-performance computing as well as edge systems. The project is expecting to release a working model by early 2021 and will be further enhanced in phases.
Global Cloud leaders are also focusing on expanding their presence in Europe. In February, Microsoft announced a new data centre in Spain leveraging Telefónica infrastructure. In a similar move, Google Cloud announced its plans to expand in the region in partnership with Telefónica. Telefonica and Google are expected to jointly work on Spain’s digitalisation through edge infrastructure and 5G for consumers and telecom infrastructure.
Cloud Providers Bolstering their Cybersecurity Capabilities
2020 has witnessed a host of cybersecurity threats and data breaches. While Cloud providers have always evolved their cybersecurity capabilities, it has become important for them to become vocal about these measures to build trust in the industry.
To complement the Microsoft Azure IoT security, Microsoft acquired IoT security specialist CyberX, last month. The acquisition will enable greater security for the IoT devices connected to the Microsoft network and will help their customers to gain visibility through a map of devices thus allowing them to gather information on security risks associated with thousands of sensors and connected devices. This will enhance smart grid, smart manufacturing and digital assets and profiles and reduce vulnerabilities across production and supply chain.
In another move which will benefit the ISV and SI ecosystem, NetFoundry’s zero trust networking API is now available on RapidAPI. RapidAPI’s marketplace enables developers to easily find, connect to, and manage the APIs they need to build a range of applications. Now the ISV and developer community can access NetFoundry’s software-only, zero trust models on RapidAPI.
More Partnerships between Software/Industry Solutions Providers and Cloud Providers
The COVID-19 crisis has had a far-reaching impact on several industries. The technologies that are expected to see the most uptake are IoT and Future of Work technologies.
Ecosystm Principal Advisor, Kaushik Ghatak says, “COVID-19 has brought to the fore the need for managing risks better. And the key to managing risks is to have better visibility and drive data-driven decisions; the sweet spot for IoT technologies.”
Last week, Microsoft and Hitachi announced a strategic alliance to accelerate the digital transformation of the Manufacturing and Logistics industries across Southeast Asia, Japan and North America. The first solutions are expected to be made available in Thailand as early as this month. Hitachi brings to the table their industry solutions, such as Lumada, and their IoT-ready industrial controllers HX Series. These solutions will be fully integrated with the Microsoft cloud platform, leveraging Azure, Dynamics 365 and Microsoft 365.
Another sector that has seen significant disruption is Real Estate. Ecosystm Principal Advisor, Andrew Milroy in his blog Proptech: Driving Digital Transformation in the Wake of COVID-19 sees a real opportunity for the sector to transform. “Many activities within the property ecosystem have remained unchanged for decades. There are several opportunities for digital engagement and automation in this sector, ranging from the use of robots in construction to the ‘uberisation’ of the residential property customer journey.”
June saw Honeywell and SAP partner to create a joint cloud-based solution based on Honeywell Forge and SAP cloud. The cloud solution is aimed at real estate operators and customers providing aggregated financial and operational insights in real-time. The solution leverages the Honeywell Forge autonomous buildings solution and the SAP Cloud for Real Estate solution, enabling facility managers and building owners to reposition their real estate portfolios through parameters such as cost savings and energy efficiency and help improve the tenant experience.
As organisations struggle to maintain operations during the ongoing crisis, there has been an exponential increase in employees working from home and relying on the Future of Work technologies. 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.”
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.
Delivering excellent customer experience in the midst of the crisis has proved to be difficult for organisations. Customer care centres have been especially impacted by high volumes of customer interactions – through voice and non-voice channels. This will see a major rise in adoption of cloud contact centre solutions. Contact centre providers are ramping up their capabilities in anticipation. Genesys selected AWS as their preferred cloud partner to deliver new features to customers and build a global and secure infrastructure.
The industry can expect more news from Cloud providers in the next few months as they ramp up their capabilities and channel their go-to-market messaging.
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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 customersAND 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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While the private sector is often quicker in their adoption of digital technologies for better customer experience (CX), the adoption in the public sector can be challenging due to various concerns such as legacy systems, privacy, national security, inter-departmental dependency and more. Ecosystm Principal Advisor, Audrey William says, “Most cloud contact centre solution providers today have the highest level of security wraps and certifications including country-level certifications. However, verticals such as Government, have remained concerned about security. This has not allowed them to innovate as fast as some of the other sectors on leveraging some of the best-in-class customer experience technologies.”
In the US, MAXIMUS, a government services provider company and Genesys recently announced a partnership to set up the MAXIMUS Genesys Engagement Platform, an integrated, cloud-based omnichannel contact centre solution. This was driven by the government requirement for public sector organisations to provide seamless customer experiences similar to those offered in the private sector. The platform is certified by the Federal Risk and Authorization Management Program (FedRAMP). FedRAMP promotes the adoption of secure cloud services across the US Federal Government, in partnership with federal agencies, cloud service providers and 3rd party assessment organisations and provides the standards for security and risk assessment.
This is in line with what we see in the Ecosystm data. Government agencies that use contact centres are increasingly evaluating cloud options, with 17% saying that they operate fully on the cloud (Figure 2). While this may be difficult for all public sector organisations, with mandates around data location and security, a majority are partially on the cloud.
There are several benefits to using the cloud model including the ability to make changes and scale up/down without much customisation or professional services (which can come in handy for a quick re-alignment of the workforce) and manage seasonal spikes. Additionally, cloud solutions allow almost instantaneous access to new features and easy testing of proofs of concept. Public sector organisations are fast realising the value of cloud contact centres.
William sees the FedRAMP certification having immense potential. “FedRamp provides a secured environment for any service that is rolled out as this involves multiple levels of security. Citizens expect a more personalised service through chat, Twitter, mobile, social messaging channels like WhatsApp and many more. However, they also want to feel safe when providing personal information and want to know that the platform that holds their data is secure. When they know that security is at the highest level, they will be more open to providing personal data.”
Managing an Omnichannel Experience
Over half of public sector organisations in the Ecosystm CX study mentioned that they are driving an omnichannel experience for their customers. This has become especially relevant today, as organisations have the need to reduce the call volumes for their contact centres – through non-voice services and customer self-service. The MAXIMUS Genesys Engagement Platform will leverage Genesys Engage, which provides integrated features and functionalities across multiple channels through a single voice and digital user interface. Solutions such as these provide the ability to integrate calls, emails, chats, messages and social comments into one connected platform.
William says, “The cloud platform can help with the highest level of efficiency, scale and speed by integrating multiple channels on a single platform, for more connected customer experience. Government departments will look to leverage capabilities such as Conversational AI, in-app mobile messaging, SMS, email and voice calls within a multi secure environment. Citizens have high expectations from government departments – they expect fast, reliable and efficient service and automation. It would be difficult for governments to provide that level of service without leveraging cloud contact centre technology. That is the only way to move away from inefficient traditional architectures.”
Speaking about the adoption of cloud contact centres in the Asia Pacific region, William says, “Despite initiatives like Australia’s Digital Transformation Agency, the adoption has been relatively low in the public sector. But that has been changing fast with the COVID-19 situation forcing some government departments to move almost immediately to the cloud allowing easier changes to call workflows and other dynamic services that may have to be addressed on a daily basis.”
For more insights on Ecosystm’s ongoing research on business and technology priorities in Contact Centres
Why should a CEO get involved in and have visibility into an organisation’s Cloud investments? There are a few important reasons.
#1 Cloud is not a cost-saving measure – it will enable you to transform
Organisations have matured in their Cloud adoption and no longer evaluate the benefits of Cloud only in terms of shifting CapEx to OpEx. If we look at the benefits of Cloud adoption, reduction of IT costs is not even in the top 3 benefits that organisations are seeking from Cloud anymore. Operational efficiency and collaboration emerge as key benefits (Figure 1) – while some companies still move to the Cloud for the savings, they stay there for other benefits.
This requires organisations to think of Cloud as a technology empowering their infrastructure and services. Cloud acts as an enabler for ease of doing business, real-time data access for productivity increase, and process automation. This impacts the entire organisation. It also involves prioritising the needs of certain functions over others – definitely not what a CIO should have to do.
If we look at just Cloud storage as an example, organisations can no longer have individual functions and their associated shadow IT teams having their own Cloud storage (and collaboration). This often turns out to be more expensive and there is a lack of consolidated view and management. While organisations forge ahead with the dream of having real-time information sharing across functions, a CIO has to consider the entire organisation’s technological and business needs – a CEO is the best person to guide the CIO in translating the organisation’s vision into IT priorities.
#2 In fact Cloud adoption may not cut costs at all!
Organisations are also re-evaluating the cost benefits of Cloud. Investing in a Cloud infrastructure with a short-term view on the investments involved has led to instances of Cloud solutions being brought back in-house because of rising costs. While security, data privacy and integration remain the key challenges of Cloud adoption (Figure 2), over a third of the organisations find Cloud more expensive than traditional licensing or owning the hardware.
Organisations find that the cost considerations do not stop after the adoption or migration. As businesses use Cloud to scale, there are several aspects that require constant re-evaluation and often further investments – cybersecurity measures, continuous data protection (CDP), disaster recovery management, rightsizing capacity, software and database licenses and day-to-day maintenance, to name a few. In addition to this, the cost of finding and recruiting a team of professionals to manage and maintain the Cloud environment also adds up to the OpEx.
If the CIO is talking about a Cloud migration for cost benefits only, the CEO and the CFO need to step in to evaluate that all factors have been taken into consideration. Moreover, the CIO may not have full visibility of how and where the organisation is looking to scale up or down. It is the CEO’s responsibility to share that vision with the CIO to guide Cloud investments.
#3 Cloud will increasingly be part of all tech adoption considerations
In this disruptive world, CEOs should explore possibilities and understand the technical capabilities which can give organisations an edge over their competitors. It is then up to the CIOs to implement that vision with this larger context in mind. As organisations look to leverage emerging technologies, organisations will adopt Cloud to optimise their resources and workloads.
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. Similarly, 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. Edge Computing will be essential in this intelligent and automated world. Cloud platform 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.
In view of the recent global crisis, we will see a sharp uptake of Cloud solutions across tech areas. IaaS will remain the key area of focus in the near future, especially Desktop-as-as-Service. Organisations will also look to evaluate more SaaS solutions, in order to empower a mobile and remote workforce. This will allow the workforce of the future to stay connected, informed and make more decisions. More than ever, CEOs have to drive business growth with innovative products and services – not understanding the capabilities and challenges of Cloud adoption and the advancements in the technology can be a serious handicap for CEOs.
#4 Your IT Team may be more complacent about Cloud security than you think
Another domain that requires the CEO’s attention is cybersecurity. The Cloud is used for computing operations and to store data including, intellectual property rights, financial information, employee details and other sensitive data. Cybersecurity breaches have immense financial and reputational implications and IT Teams cannot solely be responsible for it. Cybersecurity has become a Board-level conversation and many organisations are employing a Chief Information Security Officer (CISO) who reports directly into the CEO. Cybersecurity is an aspect of an organisation’s risk management program.
Evaluating the security features of the Cloud offerings, therefore, becomes an important aspect of an IT decision-maker’s job. While security remains a key concern when it comes to Cloud adoption, Cloud is often regarded as a more secure option than on-premise. Cloud providers have dedicated security focus, constantly upgrade their security capabilities in response to newer threats and evolve their partner ecosystem. There is also better traceability with the Cloud as every virtual activity can be tracked, monitored, and logged. Ecosystm research finds that more than 40% of IT decision-makers think the Public Cloud has enough security measures and does not need complementing (Figure 3).
However, the Cloud is as secure as an organisation makes it. The perception that there is no need to supplement Public Cloud security features can have disastrous outcomes. It is important to supplement the Cloud provider’s security with event-driven security measures within an organisation’s applications and cloud interface.
It is the job of the CEO – through the CISO – to evaluate how cyber ready the IT Team really is. Do they know enough about shared responsibility? Do they have full cognizance of the SLAs of their Cloud providers? Do they have sufficient internal cybersecurity skills? Do they understand that data breaches can have cost and reputational impacts? As cybersecurity breaches begin to have more financial implications than ever and can derail an organisation, a CEO should have visibility of the risks of the organisation’s Cloud adoption.
Cloud is no longer just a technological decision – it is a business decision and takes into account the organisation’s vision. A full visibility of the Cloud roadmap – including the pitfalls, the risks and the immense potential – will empower a CEO immensely.
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Most government projects involve several stakeholders and are complex in terms of the data, infrastructure and investments required. To take better decisions in terms of project complexity, risks and investments, public sector agencies need to have a structured project management framework, using an optimum mix of physical. technical, financial and human resources. In an environment where citizens expect more accountability and transparency, and where projects are often funded by citizens’ taxes, running these projects become even more complicated. Government agencies struggle to get funding, optimise costs (especially in projects that run over multiple years and political environments), and demonstrate some form of ROI. There is also an overwhelming requirement to detect and prevent frauds.
The global Ecosystm AI study reveals the top priorities for public sector, that are focused on adopting emerging technologies (Figure 1). It is very clear that the key areas of focus are cost optimisation (including fraud detection and project performance management) and having access to better data to provide improved citizen services (such as public safety and predicting citizen behaviour).
Technology as an Enabler of Public Sector transformation
Several emerging technologies are being used by government agencies as they look towards DX in the public sector.
The Push to Adopt Cloud
To prepare for the data surge that governments are facing and will continue to face, there is a push towards replacing legacy systems and obsolete infrastructure. The adoption of cloud services for data processing and storage is helping governments to provide efficient services, improve productivity, and reduce maintenance costs. Moreover, cloud infrastructure and services help governments provide open citizen services. The Government of India has built MeghRaj, India’s national cloud initiative to host government services and applications including local government services to promote eGovernance and better citizen services. The New Zealand Government has sent a clear directive to public sector organisations that public cloud services are preferred over traditional IT systems, in order to enhance customer experiences, streamline operations and create new delivery models. The objective is to use public cloud services for Blockchain, IoT, AI and data analytics.
Transparency through Communication & Collaboration technologies
Since the 1990s, the concept of eGovernment has required agencies to not only digitise citizen services but also work on how they communicate better with their citizens. While earlier modes of communication with citizens were restricted to print, radio or television, digital government initiatives have introduced more active communication using mobile applications, discussion forums, online feedback forms, eLearning, social media, and so on. Australia’s Just Ask Once allows citizens to access information on various government services at one place for better accessibility. More and more government agencies are implementing an omnichannel communication platform, which allows them to disseminate information across channels such as web, mobile apps, social media and so on. In the blog The Use of Technology in Singapore’s COVID-19 Response, Ecosystm analysts spoke about the daily updates shared by the Government through mobile phones. Demonstrating cross-agency collaboration, the information disseminated comes from multiple government agencies – the same channel is also used to drip-feed hygiene guidelines and the evolving government policies on travel, trade and so on.
AI & Automation for Process Efficiency and Actionable Intelligence
Governments are focusing on leveraging centralised resources and making processes smarter through the adoption of AI platforms. Initiatives such as the Singapore Government’s concept of Single Sources of Truth (SSOT), where all decision-making agencies have access to the same data, is the first step in efficient AI adoption. Singapore’s government agencies also have three data aggregators – Trusted Centers (TCs). This enables initiatives such as Vault-Gov.SG which allows government officials to browse a metadata catalogue and download sample data to run exploratory analytics. To push the adoption of AI, several governments are focusing on roadmaps and strategies such as Singapore’s National AI Strategies to transform the country by 2030, and the Government of Australia’s AI Roadmap and framework to help in the field of industry, science, energy, and education.
The first step of AI adoption is often through automation tools, such as virtual assistants and chatbots. The US Citizen and Immigration Service (USCIS) introduced an AI powered chatbot Emma to better support citizens through self-service options and reduce the workload of their customer service agents. The department of Human Services in Australia rolled out various chatbots named Roxy, Sam, Oliver, Charles and the most latest in progress PIPA (Platform Independent Personal Assistant) to provide information on various services and assist on queries.
Real-time data access with IoT
Governments have the responsibility of enforcing law and order, infrastructure management and disaster management. Real-time information data access is key to these initiatives. IoT sensors are being used in various government applications in object detection, and risk assessment in cities as well as remote areas. For example, IoT-enabled traffic monitoring and surveillance systems are embedded to provide real-time updates and continuous monitoring that can be used to solve issues, as well as provide real-time information to citizens. In a futuristic step, the US Department of Transportation (USDOT) is working with auto manufacturers on embedding vehicle to vehicle communication capabilities in all vehicles to avoid collision with emergency braking and vehicle speed monitoring. In an effort to promoting smart city initiatives and for infrastructure maintenance, New Zealand has installed smart cameras with automated processing capabilities, and IoT based street lighting system. IoT has tremendously benefited the supply chain and logistics sector. The US Army’s Logistics Support Activity (LOGSA) is using IoT for one of the Government’s biggest logistics systems. and military hardware with on-board sensors to analyse data directly from the vehicles for better asset maintenance. Again like in AI, there is a need for a clear roadmap for government adoption of emerging technologies, especially considering the safety and ethics angle. The Government of UK has introduced IoTUK, a program to help the public sector and private enterprises to come together and develop IoT technologies considering aspects such as privacy, security, and reliability.
Blockchain enabled Traceability & Transparency
Moving paper-based systems to digitised systems makes processes efficient to a degree. However, more is required for full traceability and transparency. Managing the data flow and safeguarding the information is vital for government organisations, especially as there is an increase in cross-agency collaboration. Government agencies and departments across the globe are increasingly collaborating using Blockchain technology, while at the same time maintaining the security of the data. For instance, in Georgia, the government department of Land, Property and Housing Management is using Blockchain to maintain land and property records. The blockchain-based land registry allows speedier approvals with no involvement of paperwork or multi-party signatures on physical documents. This is enhancing service quality while offering better security measures as the data is digitally stored in the National Agency of Public Registry’s land title database. Estonia is using Blockchain to protect their digital services such as electronic health records, legal records, police records, banking information, covering data and devices from attacks, misuse, and corruption.
Technology-led digital transformation has become the norm for public sector organisations across both emerging and mature economies. However, agencies need to create clear roadmaps and frameworks, including RoI considerations (which may not only be financial but should include citizen experience) and avoid ad-hoc implementations. The key consideration that government agencies should keep in mind is citizen security and ethics when adopting emerging technologies.
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Yes and no. If we look at the history of the ERP solution, as an example, we find that it was initially meant for and deeply entrenched in Manufacturing organisations. In fact, the precursor to modern-day ERP is the Manufacturing Resource Planning (MRP II) software of the 1980s. Now, we primarily look at ERP as a cross-industry solution. Every business has taken lessons on inventory and supply chain management from the Manufacturing industry and has an enterprise-wide system. However, there are industries such as Hospitality and Healthcare that have their niche vendors who bundle in ERP features with their industry-specific solutions. This will be the general pattern that all tech solutions will follow: a) an industry use case will become popular; b) other industries will try to incorporate that solution, and in the process; c) create their own industry-specific customisations. It is important, therefore, for those who are evaluating emerging technologies to cast their net wide to identify use cases from other industries.
AI and automation is one such tech area where organisations should look to leverage cross-industry expertise. They should ask their vendors about their implementations in other allied industries and, in some cases, in industries that are not allied.
For cybersecurity, their approach should be entirely different. As companies move on from network security to more specific areas such as data security and emerging areas such as GRC communication, it will be important to evaluate industry experience. Data protection and compliance laws are often specific to industries – for example, while customer-focused industries are mandated on how to handle customer data, the Banking, Insurance, Healthcare and Public Sector industries have the need to store more sensitive data than other industries. They should look at solutions that have in-built checks and balances in place, incorporating their GRC requirements.
So, the answer to whether organisations should look for industry expertise in their vendors is that they should for more mature tech areas. An eCommerce company should look for industry experience when choosing a web hosting partner, but should look for experience in other industries such as Banking, when they are looking to invest in virtual assistants.
Are some industries more focused on industry experience than others?
Ecosystm research also sought to find out which industries look for industry expertise more than others (Figure 2). Surprisingly, there are no clear differences across industries. The Services, Healthcare and Public Sector industries emphasise marginally more on industry expertise – but the differences are almost negligible.
There are some differences when we look at specific tech areas, however. For example, industries that may be considered early adopters of IoT – Transportation, Manufacturing and Healthcare – tend to give more credit to industry experience because there are previous use cases that they can leverage. There are industries that are still formulating standards when it comes to IoT and they will be more open to evaluating vendors that have a successful solution for their requirement – irrespective of the industry.
The Healthcare Industry Example
Ecosystm Principal Analyst, Sash Mukherjee says, “In today’s fast-evolving technology market, it is important to go beyond use cases in only your industries and look for vendors that have a demonstrated history of innovation and experience in delivering measurable results, irrespective of the industry.” Mukherjee takes the example of the Healthcare industry. “No one vendor can provide the entire gamut of functionalities required for patient lifecycle management. In spite of recent trends of multi-capability vendors, hospitals need multiple vendors for the hospital information systems (HIS), ERP, HR systems, document management systems, auxiliary department systems and so on. For some areas such as electronic health records (EHR) systems, obviously industry expertise is paramount. However, if healthcare organisations continue to look for industry expertise and partner with the same vendors, they miss out on important learnings from other industries.”
Talking about industries that have influenced and will influence the Healthcare industry in the very near future, Mukherjee says, “Healthcare providers have learnt a lot from the Manufacturing industry – and several organisations have evaluated and implemented Lean Healthcare and Six Sigma to improve clinical outcomes. The industry has also learnt from the Retail and Hospitality industries on how to be customer focused. In the Top 5 Healthtech trends for 2020, I had pointed out the similarities between the Financial and Healthcare industries (stringent regulations, process-based legacy systems and so on). As the Healthcare industry focuses on value-based outcomes, governments introduce more regulations around accountability and transparency, and people expect the experience that they get out of their retail interactions, Healthtech start-ups will become as mainstream as Fintech start-ups.”
It is time for tech buyers to re-evaluate whether they are restricting themselves by looking at industry use cases, especially for emerging technologies. While less industry customisations mean easier deployments, it may also hamper innovation.
In his report, The Enterprise Mobile Landscape in 2020, Sheedy notes that enterprise mobility decision, including the choice of devices supported often have C-level involvement (Figure 2). “A large government agency in Australia has had the Director General intervene in their mobility decisions to stamp his personal preference on decisions, and a CIO at a large bank makes sure that Apple devices are always preferred – even when it makes little business sense to do so!”
Choice of mobile devices is personal and most organisations have realised that. Less than a third of global organisations issue corporate devices and only 6% continue to believe that they can manage by only supporting corporate devices. However, nearly no organisation has gone fully BYOD either.
Apart from mobile device choice, mobility solutions also have to take into consideration the huge amounts of traffic it has to support. When organisations adopt a Mobile First Strategy it is an acknowledgement that it will involve multiple stakeholders, right from the inception of the vision. This is clearly a technology area where user experience and uptake is of importance. So, the mobility strategy should have senior level overview and input so that it can be a company-wide policy.
#3 There will be renewed interest in Mobile Security
Ecosystm research finds that the global adoption rate of mobile device management (MDM) solutions is about 44%, while only about 17% of organisations indicate the adoption of a Mobile Security solution focused on identity management, multilayered security and threat analysis.
Organisations are aware that mobility initiatives increase their risk profile (Figure 3). An enterprise mobility solution that allows people to work on their device and OS of choice and from where they choose to, will become increasingly important in the current milieu. But the threats to organisation are equally real.
More than half of the organisations are concerned about compliance with corporate or regulatory standards in implementing mobility solutions. This is a good indication that the Mobile First strategy implementations have a strong compliance angle to them, both internally and for external agencies.
However, as Sheedy notes, it is still a challenge for the IT team. “Organisations provide one or two more operating systems that the IT team needs to manage, patch and secure. The mobile applications provide more entry points for would-be hackers and others to use and threaten the business. The devices and applications provide another set of user interface that need to be managed and governed to ensure regulatory compliance. They can also gather highly personal data (such as the location of customers when they are using – or not using – the application) so this data needs to be secured and governed.” As adoption matures, organisations will need to invest in niche Mobile Security solutions to combat their security concerns.
#4 Mobility will Drive SaaS Adoption
What organisations want most from their mobility solutions is cloud capabilities. One of the main reasons why organisations look for cloud capabilities is because mobile workloads tend to be unpredictable and cloud solutions are best equipped to handle the unexpected spikes. Most organisations also consider cloud solutions for a seamless integration with back-end systems and because a mobile workforce needs to make real-time decisions based on real-time data. Given the disparity of the data sources in a typical organisation, hosting on a neutral platform becomes more attractive. Also as organisations become more conscious about mobile security, cloud options also give them better traceability on remote device and data access.
However, conversely mobility will also drive the adoption of SaaS enterprise solutions and tools. Many businesses have mobilised their email, eCommerce platforms and unified communications and collaboration tools. But beyond that, organisations are not really empowering their employees to work on their mobile devices (Figure 4). This will have to – and will change – fast.
In his report, Make Remote Working Successful, Sheedy notes, “It goes without saying that your employees’ productivity levels will improve if they have access to the applications they need. And while many organisations already have enabled universal (or near-universal) application access from PCs and laptop computers, many of these applications should also be available from smartphones and tablets. This will allow your employees to work when they are on the move – not just when they are at home.”
It is time for organisations to re-evaluate their enterprise mobility if they have to remain productive in these difficult times, and beyond. Sheedy says, “Ultimately, our employee’s reliance on great mobile and targeted end-user computing experiences is increasing – and 5G services will only accelerate the transition away from traditional telephony, communications services and desktop applications. Businesses will need to continue to mobilise their enterprise systems to make them easier to use. Employees have now experienced great mobile apps and systems – and most enterprise mobility systems don’t stand up in that comparison.”
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In our blog, Artificial Intelligence – Hype vs Reality, published last month we explored why the buzz around AI and machine learning have got senior management excited about future possibilities of what technology can do for their business. AI – starting with automation – is being evaluated by organisations across industries. Several functions within an organisation can leverage AI and the technology is set to become part of enterprise solutions in the next few years. AI is fast becoming the tool which empowers business leaders to transform their organisations. However, it also requires a rethink on data integration and analysis, and the use of the intelligence generated. For a successful AI implementation, an organisation will have to leverage other enabling technologies.
Technologies Enabling AI
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.
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.
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