PropTech: Driving Digital Transformation in the Wake of COVID-19

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COVID-19 is accelerating digital transformation activities across industries. Remote working is now standard practice and digital engagement is replacing face-to-face interaction. Cloud technology has become essential rather than an option, and rollouts of new technologies such as augmented reality (AR) and intelligent automation are being expedited.

One of the industries that offer great potential for technology-driven transformation is the property sector.

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.

The processes associated with buying or renting property remain cumbersome and complex for customers. Indeed, customers engage with many different organisations throughout their residential property lifecycles. When compared to some other industries, the customer experience can be poor. Components of the journey – such as property search – offer some great experiences but other parts such as exchanging contracts can rarely be described as positive customer experiences.

Although AR and virtual reality (VR) technologies can facilitate property inspection, most inspections are still undertaken on-premise, together with a real estate agent. Contract exchanges often involve interactions with legal professionals in-person. Securing a mortgage or a rental agreement also typically requires face-to-face interaction. Deposits commonly necessitate the physical presentation of a cheque.

The Uberisation of the Property Sector

So, in the residential sector, there are clear opportunities for start-ups and property search platforms to offer greatly enhanced customer experiences. The COVID-19 crisis will speed up the rate at which digital technologies are used to automate activities throughout the residential property customer journey and to engage customers digitally.

Property search platforms such as Singapore-based PropertyGuru, have been creating innovative ways of engaging customers and extending their range of services, for many years. For PropertyGuru, its news features, mortgage calculator, and ability to search for investment properties overseas, have enabled it to offer customers more value from its platform. Its PropertyGuru Lens feature uses AR and artificial intelligence (AI) to give customers a more immersive and improved experience. In common with other real estate platforms, it offers AR and VR tools for inspections.

Today’s crisis creates opportunities for platforms such as ProperyGuru to engage customers throughout their journey. It can potentially transform the residential property business, by becoming an Uber-style platform for agents, movers, shippers, storage companies, interior designers, renovation firms and all other stakeholders within the residential property ecosystem. Subject to regulation, it could also act as a mortgage broker and an agency for the exchange of contracts. In other words, it could ‘own’ the customer journey and act as a platform for all services associated with residential property. From the customer perspective, such a platform would be a welcome way of enhancing the experience associated with buying, renting, maintaining, improving, managing, and selling residential property.

IoT and the Commercial Property Sector

From a commercial property perspective, the COVID-19 crisis can also be expected to accelerate the digitalisation of many activities associated with the construction, maintenance, and management of buildings.

High Traction IoT Solutions - Construction Industry

According to the findings of the Ecosystm IoT Study, the Construction industry is evaluating several technology solutions that are expected to benefit the industry (Figure 1).

While the industry views these solutions as beneficial, the adoption has so far been low. This will change. Drones have been used to inspect the outside of tall buildings for several years, but this is not yet standard practice. Structural inspections and maintenance of buildings will be automated at a much faster rate post COVID-19. IoT technology will be used for building management. Using IoT technology for the predictive maintenance and management of lighting, climate control, elevators, security, windows and doors will become standard as firms seek to reduce human interactions. Technology that measures footfall, manages safe distancing, takes peoples’ temperatures and identifies those who enter and leave buildings will be introduced, as organisations guard against disease clusters developing within or around their premises.

In essence, the COVID-19 crisis will act as a catalyst for the digital transformation of the property sector. There is a huge opportunity to create new business models not least by offering customers a digital platform on which all of their property-related needs can be addressed. For the commercial property sector, a similar platform can be offered. Additionally, many core activities ranging from construction to building management will be automated, fully leveraging robot, AI and IoT technologies.


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Tech Spotlight for April – 5G

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5/5 (1) 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.

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Technology Enabling Transformation in the Public Sector

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4.7/5 (3) Governments face multiple challenges which are further getting highlighted by the ongoing global crisis. They have to manage the countries’ financial performances, reducing fiscal deficits. Every economy – whether emerging or mature – face challenges in bridging economic and social divides and ensuring equal access to infrastructure across the population. Most governments have challenges associated with the changes in demographics – whether because of rapid urbanisation, a fast ageing population or those associated with immigration policies.

Government agencies have the task of ensuring reliable public service, keeping their citizens safe, and striving for cost optimisation. In this constantly evolving world, agencies need to rely on technology to manage ever-growing citizen expectations and rising costs. Several government agencies have started their digital transformation (DX) journey replacing their legacy systems to transform the way they deliver services to their citizens.

Drivers of Transformation in Public Sector

Creating cross-agency synergies

Government agencies have access to enormous quantities of citizen data. But much of that data resides with individual agencies, often with no real synergies between them. For improved cost management and better utilisation of the data, it is imperative for governments to think of cross-agency collaboration systems and tools which give the larger entity a better visibility of their resources, contracts and citizen information. This involves, developing procedures, frameworks and working beyond their limited boundaries, leveraging technology to share information, applications, platform and processes. While this has been in discussion for nearly a decade now, most government agencies still work in departmental siloes and find it hard to work as a networked entity. The Ecosystm AI study finds that nearly three-quarters of public sector organisations find data access a challenge for their AI projects.

Improving citizen engagement

Increasingly, citizens are becoming tech-savvy and are expecting digital services from their government agencies. Not only that, but they are also ready to have conversations with agencies and provide feedback on matters of convenience and public safety. With the popularity of social media, citizens now have the capability to take their feedback to a wider open forum, if the agency fails to engage with them. Public sector organisations have to streamline and automate the services they provide, including payments, and provide real-time services that require collaborative feedback and increased participation from citizens. Smart governments are successfully able to leverage their citizen engagement to use open data platforms –  Data.gov and data.gov.uk, are allowing communities to target and solve problems for which governments do not have the bandwidth. With citizen centricity and open government policies, there is also an ever-increasing need for greater accountability and transparency.

Managing project performance and costs

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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How Important is Industry Experience when Selecting your Tech Vendor?

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5/5 (2) Identifying and selecting a vendor for your tech project can be a daunting task – especially when it comes to emerging technologies or when implementing a tech solution for the first time. Organisations look for a certain degree of alignment with their tech vendors – in terms of products and pricing, sure, but also in terms of demonstrable areas of expertise and culture. Several factors are involved in the selection process – vendors’ ability to deliver, to match expected quality standards, to offer the best pricing, to follow the terms of the contract and so on. They are also evaluated based on favourable reviews from the tech buyer community.

Often businesses in a particular industry tend to have their unique challenges; for example, the Financial Services industries have their specific set of compliance laws which might need to be built into their CRM systems. Over the years, vendors have built on their industry expertise and have industry teams that can advise organisations on how their business requirements can be met through technology adoption. These experts speak in the language of the industry and understand their business and technology pain points. They are able to customise their product and service offerings to the needs of the industry for a single client – which can then be repeated for other businesses in that industry. Vendors arm themselves with a portfolio of industry use cases, especially when they are entering a new market – and this often gives them an upper hand at the evaluation stage. In the end, organisations want less customisations to keep the complexity and costs down.

Do organisations evaluate vendors on industry experience?

Ecosystm research finds that industry experience can be a significant vendor selection criterion for some tech areas (Figure 1), especially in emerging technologies such as AI. AI and automation applications and algorithms are considered to be distinctive to each industry. While a vendor may have the right certifications and a team of skilled professionals, there is no substitute for experience. With that in mind, a vendor with experience in building machine learning models for the Telecommunications industry might not be perceived as the right fit for a Utilities industry implementation.

Whereas, we find that cybersecurity is at the other end of the spectrum, and organisations perceive that industry expertise is not required as network, applications and data protection requirements are not considered unique to any industry.

Is that necessarily the right approach?

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.

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Technology Enabling Transformation in the FMCG Industry

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The FMCG industry has always been competitive given the need to drive high sales volume because of the low profit margins of the products. As the industry faces changes – such as the demographics of the consumer base and the need to introduce newer sales channels – technology is playing an important role in ensuring that the organisations can remain competitive.

eCommerce Disrupting the FMCG Industry

The concept of online retail is said to have originated in some form in the 1960s. But with the growth of the access to the Internet in the 1990s and Amazon’s competitive business model, it has disrupted the retail and FMCG industries. As we see a steady growth in smartphone usage, digital payments, online banking and app-based platforms, online retail is becoming mainstream. While initially thought to be ideal for the purchase of durables and entertainment products and services (where price comparison is key), it has become common for FMCG companies to use eCommerce platforms. Even perishables are being purchased online with the rise in the number of online grocery stores. This is impacting the FMCG industry in a number of ways:

Change in Marketing Strategy

FMCG companies need to continue their traditional marketing strategy for in-store consumers. But at the same time, they need to reach out to a wider base of consumers who shop online. The profile of these consumers is different – younger and technologically savvier. They do not necessarily believe in brand loyalty. While the browse-to-buy ratio for FMCG products is high, they are having to invest in digital marketing strategies including personalised campaigns and presence in social media and online forums. Even packaging for in-store and online products need to be different for some products.

Increased Competition

An online presence means that your brand can reach a wider audience – this also means that the competition becomes tougher. Now global brands compete with brands from other countries as well as local brands on the same online platform. This raises the bar, with companies competing not only on price and product but also on delivery services and better customer feedback.

Increased Complexity of the Supply Chain

No longer can an FMCG company depend solely on trucks delivering their products to stores at a fixed time of day. As they play increasingly in the B2C space, they have to constantly be aware of seasonality and spikes. This means that their supply chain operations become that much more complicated, and they are having to spend more on logistics and transportation. There is also the need to handle a larger volume of data.

Changing Consumer Profile

As mentioned earlier, the consumer profile of the FMCG industry has changed to include younger consumers who want to shop online. It also includes consumers in newer markets made possible by eCommerce platforms. FMCG companies also have to cater to consumers who are conscious about product quality, the environment and ethics. This means they want to know where the products were grown or manufactured, their carbon footprints and generally want more traceability of the products they are purchasing. This has led governments to come up with guidelines to protect consumer rights. Recently, the UK government issued guidelines on the quality, labelling, standards and food safety including the right logos, health and identification marks.

The global Ecosystm AI study reveals the top priorities for FMCG companies, focused on adopting emerging technologies (Figure 1). It is clear that their key priority is to handle the competitive market by focusing both on the consumer and the supply chain. Supply chain optimisation through demand forecasting ensures that they are not managing extra stock, and simultaneously not losing out on customers because of lack of stock. This just-in-time inventory management includes initiatives such as pricing optimisation in response to market demand, competition and – especially in the case of perishables – ensuring that stock closer to the use by date is cleared.

Technology as an Enabler of FMCG Transformation

The one advantage that FMCG companies have today is they have access to enormous customer and inventory data. As a result, they are able to leverage several emerging technologies to transform.

Digital Marketing

One area that is transforming the industry is digital marketing which includes multiple aspects such as search engine marketing, video marketing, social media activity and email marketing. While several technologies come together for a digital marketing solution and AI is a key component of the solutions, there are platforms that provide an end-to-end solution.

Digital marketing is most effective with a targeted group of customers and when organisations can identify digital or social champions. Johnson & Johnson’s Babycenter.com is a good example of how creating a digital community can help market products. The core idea behind the website is to give expecting and new mothers advice on early childhood. While on the surface it appears disassociated from Johnson & Johnson, the site almost exclusively carries their advertisements. This gives them a targeted base to push their products to.  Dollar Shave Club is another example of how brands can leverage digital marketing. Their social media engagement has been so successful that they got bought over by Unilever. The digital campaign includes incentivising members with their products for posting about them on Instagram or Facebook.

Blockchain

FMCG companies are investing in Blockchain and digital ledger technologies for track and trace functionalities and operational efficiency. The technology not only helps manage the supply chain better by effective shipping timelines maintenance, delivery management and inventory management; it also helps build trust in a brand. It helps in compliance management, reduces the number or need for middlemen, easier handling of cross-border transactions and brings about an end-to-end accountability.

Danone initiated a Track & Connect service for their baby formula using Blockchain for transparency and traceability to show the authenticity of their products to parents and for a better customer experience. FMCG companies will benefit immensely from the farm-to-fork accountability concept initiated by Agriculture.

AI

From predictive analysis to machine learning to deep learning, AI is bringing a lot of benefits to FMCG companies. AI is enabling companies to discover gaps (both in their consumer interactions and in the supply chain) and make their processes intelligent – including demand forecasting, supply chain optimisation, personalised product offerings, social media analytics, consumer sentiment analytics and recommendation engines.

FMCG organisations are analysing internal and external data sources for both sales and improved customer experience. As FMCGs are forced to sell online to remain competitive, they have access to a high volume of the consumer as well as supply chain and inventory management data. Coca-Cola remains one of the leaders in the FMCG market by leveraging this data, including product research and social data mining. Even their vending machines are looking to leverage AI for personalised offerings and for loyalty programs.

The need to enhance the customer experience has also seen innovations like the Maggi Chatbot – “Kim”- that helps customers learn about Maggi recipes, ingredients, and dietary requirements, through Facebook Messenger.

FMCG companies that cannot afford to invest in technologies such as AI also have the option of leveraging the technology offerings of their online retail platform. eBay offers analytics as a service to the sellers – offering them data, metrics, and analytics to help them succeed. They also introduced computer vision technology to help sellers create clearer and more attractive images for the platform.

In this competitive market, we will see FMCG companies – and not just the big global brands but also the local producers – embrace more technology.


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AI Driving Tech Adoption

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4.7/5 (3) In our blog, Artificial Intelligence – Hype vs Reality, published last month we explored why the buzz around AI and machine learning have got senior management excited about future possibilities of what technology can do for their business. AI – starting with automation – is being evaluated by organisations across industries. Several functions within an organisation can leverage AI and the technology is set to become part of enterprise solutions in the next few years. AI is fast becoming the tool which empowers business leaders to transform their organisations. However, it also requires a rethink on data integration and analysis, and the use of the intelligence generated. For a successful AI implementation, an organisation will have to leverage other enabling technologies.

Technologies Enabling AI

IoT

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

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

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

Cloud

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

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

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

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

Cybersecurity & AI

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

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

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

AI and the Experience Economy

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

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

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

 

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


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Ecosystm VendorSphere: Avanseus – Predictive Maintenance in the Data Age

4.8/5 (5)

4.8/5 (5) Authored by Ullrich Loeffler and Kaushik Ghatak

Technology has been identified as a key enabler of innovation and transformation with great potential to disrupt and reshape entire industries. At the same time, the technology industry itself has been at the forefront of disruption with thousands of promising start-ups emerging in areas such as artificial intelligence (AI), Blockchain, cloud and cybersecurity to name a few.

In February 2020, Ecosystm had the opportunity to meet the executive team of Avanseus, an AI solution provider that promises to reshape traditional maintenance processes by leveraging AI-based algorithms for predictive maintenance and failure detection.

Avanseus is not the newest kid on the block having been launched in June 2015 with headquarters in Singapore. The founding team has extensive experience in the telecommunications sector from executive careers in both the operator and the network provider segments. The problem statement and value proposition that Avanseus was founded on is to support telecom companies to tackle the costly challenge of maintaining their increasingly complex networks and to ensure network performance and customer satisfaction. Ecosystm research finds that predictive maintenance is a key priority for telecom providers looking to invest in newer technologies (Figure 1).

The solution Avanseus offers aims to be simple in the way that its proprietary AI-enabled algorithms can assess and predict network performance and network failures with as little as 6 months of network data history to achieve a high degree of prediction accuracy across telecom networks. The simplicity of the solution further allows cost-effective proofs of concept (PoCs) which lets telecom prospects experience first-hand its potential to drive down maintenance cost and ensure network performance.

Avanseus had secured seed capital of US$2.5 million till the middle of 2017. At the end of 2018, Avanseus secured funding via convertible notes of US$1.3m – main noteholders being TNB Spring and SEEDS Capital (Enterprise Singapore). A global network equipment manufacturer and managed services provider became its first commercial customer in 2016. From there Avanseus has demonstrated steady growth achieving revenue of US$1 million in 2018 and US$2.3 million in 2019. 2020 is forecast to be a milestone year with predictions to become cash-flow positive and to achieve revenue growth of 150% over 2019.

As of February 2020, Avanseus employs 41 staff across multiple international locations including its headquarters in Singapore, its development centre in Bangalore and sales offices in Delhi, North and Latin America and Italy to grow its global presence. The team is complemented by 8 part-time consultants and a growing partner ecosystem which includes major consulting firms as well as technology partners such as Dell, Splunk and Siemens. Expanding its partnerships globally is a key part of its strategy in order to scale up on the opportunities it can contest.

 

Avanseus’ Potential Growth Path

Considering its young history, Avanseus has shown an impressive growth path which can be credited to staying true to its game plan and its original value proposition and solution design. A new fund-raising round had been kicked off at the end of 2019 with the aim to secure sufficient capital to accelerate growth over the coming years. Half of the anticipated funding will be invested into on-site consultants and sales teams while the other half will be invested in R&D to expand automation into APIs and other machine learning technologies. R&D has been a key focus from its early days which has led to the filing of 8 patents, 2 of which have been granted.

In order to accelerate growth further, Avanseus is also re-assessing the industries that could benefit from its predictive maintenance solutions. As with many startups and growth companies, innovation is often not a straight path and new opportunities and ideas arise as the market and customers are engaged. Several industries face similar challenges and benefit from reduced maintenance cost, reduced downtime, extended equipment lifecycles and improved services quality. To transfer the value proposition across use cases and industry applications Avanseus is looking to leverage approximately 80% of its existing solution and apply 20% of industry-specific domain expertise. This has opened up new growth opportunities in a number of areas such as Industrial IoT, Utilities, Manufacturing and supply chain. There are also opportunities in customer-focused industries such as Banking in niche areas such as maintenance of data centre operations.

 

Ecosystm Comments

As companies collect and manage an exploding amount of data assets within their operations or from their customers, there is an increasing opportunity for innovative technology vendors to support these companies in driving value from their data assets. Avanseus has demonstrated a clear vision and execution in addressing one of these opportunities by focusing on a clear problem statement and offering a ‘simple’ solution that presents a strong business case. As with every growth company, the challenge is to leverage this opportunity and secure the right funding and resources to scale up as quickly as possible.

Partnerships will be critical in its growth path but signing up partners alone may not translate to creating value. The challenge for Avanseus will be to achieve partner commitment and enablement across different geographies. This will require time and a dedicated channel strategy beyond opportunistic partnerships that are born out of specific client engagements.

Another opportunity that could turn into a challenge is the new range of solution applications that Avanseus has identified. Being a high growth company, the greater challenge is often to decide what not to do rather than what can be done. Avanseus is well advised to carefully select which industries it wants to expand into and focus on. Each new solution set will present a magnet for additional resources and funding and may well be a distraction.

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Technology Enabling Transformation in the Oil and Gas Industry

5/5 (2)

5/5 (2)

The Oil and Gas industry has seen volatile times and is affected by its own set of unique challenges ranging from commodity price fluctuations, a potential supply crunch, geo-political events, and energy policies including energy transition. Moreover, the challenges and requirements are distinct at different stages of operations – upstream, midstream and downstream. The industry has been an early adopter of a few emerging technologies and is looking to leverage them to remain competitive and better employee management.

Drivers of Transformation in the Oil and Gas Industry

Remaining competitive in an evolving market

Oil and Gas companies are having to clean up old processes, as the market gets increasingly competitive. Ecosystm research finds that the top business priorities for Oil and Gas companies do not stop at cost reduction and revenue growth. The industry also has to focus on employee experience and safety, compliance, and increasingly even customer experience. And they must remain competitive through potential disruption in supply, demand and production; the rising costs of processes; and ongoing exploration costs. Oil and Gas companies are also focusing more on their downstream operations including retail in order to remain competitive.

Shortage of skilled workforce

The industry also faces the challenge of skills shortage. A survey conducted by the Global Energy Talent Index (GETI) found that nearly 70% of Oil and Gas professionals think the industry is already facing skills shortage or will be hit by it within the next 5 years. This is due to a number of reasons, including a reluctance of younger professionals to commit to a profession that has harsher conditions than many. Moreover, as energy transition becomes a topic of global discussion, many have a perception that the industry is not sustainable in the future. The industry also goes through cycles where they cut back on exploration and production, which results in the loss of skills and inadequate knowledge transfer. It has a long-term challenge around knowledge management.

Safety and environmental regulations

The industry  has to contend with green energy movements and environmental regulations.  There are several country-level regulations around air and water quality. Most Oil and Gas companies have cross-border operations and have to comply with a number of regulations on harmful emissions, greenhouse gases and offshore activities, in several countries. Increasingly, all leading Oil and Gas companies have to work in alignment with the Paris Agreement when developing solutions across functions – exploration, extraction and supply chain. There are also worker safety regulations and standards that they have to comply with.

The global Ecosystm AI study reveals the top priorities for Oil and Gas companies that are focused on adopting emerging technologies (Figure 1). It is very clear that the key areas of focus are process automation, asset and supply chain management and compliance.

Technology as an Enabler of Oil and Gas Transformation

Several emerging technologies are being used by the Oil and Gas industry as they continue their struggle to remain competitive across the different stages of operations – upstream, midstream and downstream.

IIoT

As the costs of sensors go down, connectivity widens and computing power increases, the industry is seeing greater uptake of Industrial IoT (IIoT) solutions. From wearables (to monitor employee safety) to drones with smart cameras (for remote inspections, environmental monitoring), IoT solutions have an immense role to play in the Oil and Gas industry. The industry has had to be cautious about the choice of devices, however, due to pervasive inflammable hydrocarbons and the related regulations.

Not only are they implementing sensors, Ecosystm research finds that 30% of Oil and Gas companies are also leveraging the IoT sensor data for analytics and intelligence. A common application is in predictive maintenance. Two years ago, Chevron launched predictive maintenance solutions in its oil fields and refineries. While the pilot ran on heat exchangers,  the company aims to connect all assets by 2024 and expects to save millions on asset management.

AI

AI and machine learning have applications across Oil and Gas operations, leveraging  IoT sensor data. “Smart fields” where production is monitored centrally, has a high level of automated controls. AI/Analytics is allowing companies to run simulations, use predictive data models and identify patterns to gauge risks associated with new projects. This has an impact on production, exploration and making efficient use of existing infrastructure. Oilfield services company Baker Hughes has worked on an AI-based application that allows well operators to view real-time production data and predict future production with more accuracy.

AI is also helping organisations monitor environmental risk and has the potential to help Oil and Gas companies with their compliance requirements. Gazprom Neft, one of the largest suppliers of natural gas to Europe and Seismotech are exploring using AI for seismic data processing, for solutions that are specific to the needs of the industry.

While the applications of AI in the industry are often focused on upstream activities, AI has applications across all operations. In the midstream, transporting crude oil to refineries has always had its unique challenges.  Since transport lead times are long and prices fluctuate based on the availability of products, organisations benefit from demand forecasting and price risk modelling. While the common perception of the industry does not include customer interactions, the truth is that the industry is increasingly focusing on the retail space. The need is enough for Shell to begin experimenting with virtual assistants as far back as in 2015, to interact with their retail customers. In fact, the company anticipates a higher adoption of AI in the industry and is collaborating with Udacity to bridge the skills gap.

Technologies empowering employees

As discussed earlier, one of the key challenges of the industry is the inability to manage a reliable knowledge management system that can help consistent knowledge and skills transfer. A single source of truth that can be accessed by all employees on processes, including safety requirements has an immense role to play to help with the skills shortage in the industry.

Enterprise mobility is another tech area that holds immense potential for the industry, with its huge proportion of mobile workers, many in remote locations. Mobility solutions can help in productivity, process optimisation and monitoring of health and safety of the employees and are increasingly incorporating wearables and location-based services.  GIS and GPS systems are helping employees with accurate directions, easier access to drilling locations and more. Given the number of devices, platforms and OSs, the industry is seeing an increased interest in unified enterprise mobility (UEM) solutions. Ecosystm finds that more than a third of Oil and Gas companies have implemented or are evaluating UEM, while another 20% are expressing early interests.

Blockchain

The sheer quantity of documents, transaction records and contracts that a typical Oil and Gas company has to manage – including cross-border transactions – poses some difficulty for the industry. The companies have to reconcile and handle issues involving multiple contractors, sub-contractors, and suppliers. Supply chain and inventory management is also a challenge. With the adoption of Blockchain, the industry can automate the management of purchase orders, change orders, receipts, and other trade-related documentation, as well as inventory data with more efficiency and transparency. Blockchain is enabling a seamless supply chain, improved project management and simplifying contractual obligations at each point along the way. Gazprom Neft’s aviation refuelling business is an early adopter of Blockchain-based smart contracts. All refuelling operations are undertaken exclusively on the basis of digital contracts approved by both parties near real-time and eliminates the possibility of any breach of contract and makes the accounting process more transparent.

As the market continues to be volatile for Oil and Gas companies and uncertainties loom in the future, the industry will increasingly depend on technology to remain competitive.


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How Technology is Helping to Combat the Coronavirus

4/5 (4)

4/5 (4)

In December 2019, the World Health Organisation (WHO) commemorated the 40th  anniversary of smallpox eradication. Ironically, later that month the world was introduced to a new epidemic caused by the Novel Coronavirus. At the same time, the WHO’s fight against other epidemics such as the Ebola virus outbreaks in Congo is far from over. As the world becomes smaller in terms of access, the risks associated with a disease outbreak becomes greater.

Every disease outbreak puts our healthcare system in disarray. Not only does it affect the country where it originated, but it also has a far-reaching impact on healthcare systems in other countries. As of today, the coronavirus has reportedly spread beyond China to 16 countries. A visit to a public healthcare facility in Singapore in the last few days shows how the healthcare system is tracking everyone who visits a hospital or a polyclinic – not just patients. Clinicians are also conducting extra screenings. This has ramifications for healthcare systems, that are already strapped with staff shortage.

There are obvious economic ramifications – at least in the short term. Several companies are banning travel to China for their employees, while many manufacturing units in China have had to temporarily shut down. The impact is not restricted to China alone and has the potential to impact global trade and economy.

Every new disease that comes into the limelight also impacts the life sciences industry that has to divert their R&D resources into finding a cure and/or a vaccine for the disease. While winning the race for the first breakthrough can be a huge opportunity for the pharmaceutical company, it also impacts the regular research being conducted to protect us from other deadly diseases.

Unfortunately, we are always one step behind diseases, and we have to first think of cure and containment before we can consider prevention and eradication. As we wait and watch to see how fast the coronavirus epidemic is contained, we must acknowledge the role technology plays in managing epidemics and other disasters. Here are some initiatives:

Detection

One of the success stories to emerge from this disaster is the speed at which the risk of the outbreak was detected. 10 days before the WHO announcement, BlueDot, a healthcare monitoring platform had already detected the epidemic, from intelligence gathered from news reports, disease networks and official sources. The same platform – and a few others – are also predicting the global spread of the virus by mining global airlines ticketing data. This is a reassuring outcome of how technology and human analysis can effectively come together to improve health outcomes.

Research

While the current global concern is the speed of containment of the disease, eventually there will have to be more proactive measures to prevent another outbreak and to even eradicate the disease. To be able to understand the full nature of the pathogen and to come up with a vaccine, it is important that the virus is isolated. Scientists from the Peter Doherty Institute for Infection and Immunity in Melbourne successfully grew the Wuhan coronavirus from a patient sample. While the Chinese authorities had released the genome sequence to help with the diagnosis, this ‘game-changer’ can be potentially used to detect the virus in patients who do not yet display the symptoms and eventually to develop a vaccine. Cutting-edge research in healthcare has always been conducted by such research and pharmaceutical organisations.  They have consistently pushed the adoption of new technology in healthcare, especially in their R&D practices.

Management

As mentioned earlier, any outbreak taxes the front-line healthcare providers the most. They have very little time to change their triage and protocols to combat a disease that they have possibly never encountered. This is where clinical decision support systems that can incorporate these new protocols into the workflow comes in handy. Epic, the EHR provider has pushed a software update that does just that. According to Epic, this update was developed in collaboration with biocontainment experts, infectious disease physicians and the US Centers for Disease Control and Prevention (CDCs). Collaborations such as this will be required if we have to devise a global protocol for epidemic management and containment.

There have been several other initiatives during this outbreak that show how different technologies can come together to benefit healthcare, especially to handle a crisis. Technology has always played a huge role in spreading the message in times of disaster, especially in emerging economies – with technologies such as AI, the potential of technology benefitting healthcare increases exponentially.


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