The market is growing rapidly with large global RPA specialists such as UiPath, Automation Anywhere, Blue Prism and AntWorks experiencing high rates of growth in the region.
RPA vendors in Asia Pacific, are typically addressing immediate, short-term requirements. For example, healthcare companies are automating the reporting of COVID-19 tests and ordering supplies. Chatbots are being widely used to address unprecedented call centre volumes for airlines, travel companies, banks and telecom providers. Administrative tasks increasingly require automation as workflows become disrupted by remote working.
Companies can also be expected to scale their current deployments and increase the rate at which AI capabilities are integrated into their offerings
RPA often works in conjunction with major software products provided by companies such as Salesforce, SAP, Microsoft and IBM. For example, some invoicing processes involve the use of Salesforce, SAP and Microsoft products. Rather than having an operative enter data into multiple systems, a bot can be created to do this.
Large software vendors such as IBM, Microsoft, Salesforce and SAP are taking advantage of this opportunity by trying to own entire workflows. They are increasingly integrating RPA into their offerings as well as competing directly in the RPA market with pureplay RPA vendors. RPA may soon be integrated into larger enterprise applications, unless pureplay RPA vendors can innovate and continually differentiate their offerings.
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Organisations are on a fast track to digitalisation. The Ecosystm Digital Priorities in the New Normal study finds that 60% of organisations anticipate increased use of digital technologies for process automation, even after the COVID-19 restrictions are lifted. One of the key challenges that these organisations will face is the lack of internal digital skills – especially in emerging technologies. One of the success metrics of any technology adoption is employee uptake. Without the necessary skills or understanding of the benefits of emerging technology, employees will largely shy away from digital offerings, even the ones that will make their work more efficient and their lives easier.
Organisations are realising the value of making their workforce future ready.
DBS Instilling Company-Wide Digital Culture
Far-sighted companies are collaborating with technology vendors and professional training providers to promote tech awareness and education to futureproof their workforce. DBS Bank in Singapore has collaborated with AWS to train and upskill 3,000 employees – including the leadership team – with AI and machine learning skills through gamification in a DBS x AWS DeepRacer League.
The AWS DeepRacer Leagues have been previously organised in several parts of the world, but the DBS x AWS DeepRacer will be the first to be organised at this scale. The league will enable DBS employees to get their hands-on AI and machine learning tutorials online. They will then have the opportunity to test out their new skills in programming a 3D racing simulator and iteratively fine-tune their models and compete with each other. The learning program is entirely cloud-based and aims to ingrain digital skills in the workforce.
DBS has won several accolades for their digital transformation and innovation initiatives, and they continue to experiment with emerging technologies. In 2019, DBS digitalised and simplified end-to-end credit processing, setting the foundation for advanced credit risk management using data analytics and machine learning. They have also deployed an AI-powered engine for self-service digital options to its retail banking customers. Taking their employees along with them on this journey is a wise move.
Ecosystm Principal Advisor, Ravi Bhogaraju says, “With the increasing use of automation, AI and machine learning, the nature of work and businesses is transforming rapidly. This is creating opportunities for processes to be automated and increasing the use of AI and Deep Learning into the business processes of the organisation. Industry value chains are transforming – AI and machine learning is adding automation, analytics and predictive intelligence to the portfolio. The recent news of DBS and AWS partnering to upskill the bank’s workforce underscores the value of creating a future ready workforce.”
“Such upskilling efforts add industry-specific context to make them more effective. BCG refers to this as ‘Human + AI’. A recent study from BCG and MIT shows that 18% of companies in the world that are pioneering AI are making money with it. Those companies focus 80% of their AI initiatives on effectiveness and growth, taking better decisions – not replacing humans with AI to save costs.”
Government Focus on Digital Skills Upgrade
This week, Singapore also saw another initiative to bridge digital skills gaps – this time from the public sector. In 2018, the Government launched its Smart Nation Scholarship program to attract and nurture talent, and later involve them in various departments to drive Singapore’s Smart Nation initiatives. The most recent Smart Nation Scholarship program 2020 attracted 723 applicants (17% more than the previous year). This is a slightly different approach, aimed at attracting digital native employees and mentoring them for digital leadership. After completing their studies, the 15 scholarship recipients are set to join public sector agencies such as Cyber Security Agency of Singapore (CSA), Government Technology Agency (GovTech), and Infocomm Media Development Authority (IMDA), to give the younger generation an opportunity to co-create the country’s Smart Nation vision.
Bhagaraju says, “Both private and government institutions are working to enhance workforce skills, improve marketability and making the workforce future ready. Industry 4.0 and the digital revolution have created the need to address the skill gaps that have arisen. Government programs such as the Skills Future program in Singapore, Malaysia’s HRD upskilling program, and the EU-28 European Digital initiative are all making a sustained effort to promote lifelong learning and acquisition/upgrading of skills for their respective citizens with quite successful results, that will have long-term impacts.”
More insights on the impact of the COVID-19 pandemic and technology areas that will see transformation, as organisations get into the recovery phase, can be found in the Digital Priorities in the New Normal Study
Continued Focus on R&D. Life sciences companies operate in an extremely competitive global market where they have to work on new products against a backdrop of competition from generics and a global concern over rising healthcare expenditure. Apart from regulatory challenges, they also face immense competition from local manufacturers as they enter each new market.
Re-thinking their Distribution Strategy. Sales and distribution for many pharma and medtech organisations have been traditional – using agents, distributors, clinicians, and healthcare providers. But now they need to change their go-to-market strategies, target patients and consumers directly and package their product offerings into value-added services. This will require them to incorporate customer experience enhancers in their R&D, going beyond drug discovery and product innovation.
Tracking Global Regulations. Governments across the world are trying to manage their healthcare budgets. They are also more focused on chronic disease management. The focus has shifted to value-based medicine in general, but pharma and medtech products are being increasingly held accountable by health outcomes. Governments are increasingly implementing drug reforms around what clinicians can prescribe. Global Life Sciences organisations have to constantly monitor the regulations in the multiple countries where they operate and sell. They are also accountable for their entire supply chain, especially ensuring a high product quality and fraud prevention.
The global Ecosystm AI study reveals the top priorities for Life Sciences organisations, focused on adopting emerging technologies (Figure 1). They appear to be investing in emerging technology especially in their R&D and clinical discovery and Manufacturing functions.
Technology as an Enabler of Life Sciences Transformation
Discovery and Development
With the evolution of technology, Life Sciences organisations are able to automate much of the mundane tasks around drug discovery and apply AI and machine learning to transform their drug discovery and development process. They are increasingly leveraging their ecosystem of smaller pharma and medtech companies, research laboratories, academic institutions, and technology providers to make the process more time and cost efficient.
Using an AI algorithm, the researchers at the Massachusetts Institute of Technology have discovered an antibiotic compound that can kill many species of antibiotic-resistant bacteria. MIT’s algorithm screens millions of chemical compounds and chooses the antibiotics which have the potential to eliminate bacteria resistant to existing drugs. Harvard’s Wyss Institute for Biologically Inspired Engineering is manufacturing 3D printed organ-on-a-chip to give insights on cell, tissue, and organ biology to help the pharma sector with drug development, disease modelling and finally in the development of personalised medicine.
Life Sciences are also engaging more with technology partners – whether emerging start-ups or established players. Pfizer and Saama are working together on AI clinical data mining. The companies are developing and deploying an AI-based analytical tool where Pfizer provides clinical data and domain knowledge to train models on the Saama Life Science Analytics Cloud (LSAC). Saama was identified as a partner at a hackathon. Sanofi and Google have established a new virtual Innovation Lab to develop scientific and commercial solutions, using multiple Google capabilities from cloud computing to AI.
Tech providers also keep evolving their capabilities in the Life Sciences industry for more efficient drug discovery and better treatment protocols. Microsoft’s Project Hanover uses machine learning to develop a personalised drug protocol to manage acute myeloid leukaemia. Similarly, Apple’s ResearchKit – an open-source framework is meant to help researchers and developers create iOS-based applications in the field of medical research.
Manufacturing and Logistics
The industry also faces the challenges faced by any Manufacturing organisation and has the need to deploy manufacturing analytics, and advanced supply chain technology for better process and optimisation and agility. There is also the need for complete visibility over their supply chain and inventory for traceability, safety, and fraud prevention. Emerging technologies such as Blockchain will become increasingly relevant for real-time track and trace capability.
The MediLedger Network was established as an open network to the entire pharma supply chain. The project brings a consortium of some of the world’s largest pharmaceutical companies, and logistics providers to improve drug supply chain management.
Since the data on the distributed ledger is encrypted, it creates a secure system without any vulnerabilities. This eliminates counterfeit products and ultimately ensures the quality of the pharma products and promotes increased patient safety. To foster security and improve the supply chain, the United States Food and Drug Administration (USFDA) successfully completed a pilot with a group including IBM, KPMG, Merck and Walmart to support U.S. Drug Supply Chain Security Act (DSCSA) to trace vaccines and prescription medicines throughout the country.
Diagnostics and Personalised Healthcare
As more devices (consumer and enterprise) and applications enter the market, people will take ownership and interest in their own health outcomes. This is seeing a continued growth in online communities and comparison sites (on physicians, hospitals, and pharmaceutical products). Increasingly, insurance providers will use data from wearable devices for a more personalised approach; promoting and rewarding good health practices.
Beyond the use of wearables and health and wellness apps, we will also see an exponential increase of home-based healthcare products and services – whether for primary care and chronic disease management, or long-term and palliative care. As patients become more engaged with their care, the life sciences industry is beginning to serve them through personalised approach, medicines, right diagnosis and through advanced medical devices and products.
An online tool developed by the University of Virginia Health Systems helps identify patients that have a high risk of getting a stroke and helps them reduce that risk. This tool calculates the patient’s probability of suffering a stroke by measuring the severity of their metabolic syndrome – taking into account a number of conditions that include high blood pressure, abnormal cholesterol levels and excess body fat. Life Sciences organisations are increasingly having to invest in customer-focused solutions such as these.
Wearables with special smart software to monitor health parameters, gauge drug compatibility and monitor complications are being implemented by Life Sciences organisations. The US FDA approved a pill called Abilify MyCite fitted with a tiny ingestible sensor that communicates with a patch worn by the patient to transmit data on a smartphone. Medtech companies continue to develop FDA approved health devices that can monitor chronic conditions. Smart continuous glucose monitoring (CGM) and insulin pens send blood glucose level data to smartphone applications allowing the wearer to easily check their information and detect trends.
What is interesting about these personalised products is that not only do they improve clinical outcomes, they also give Life Sciences companies access to rich data that can be used for further product development and improvement.
The Life Sciences industry will continue to operate in an unpredictable and competitive market. This is evident by the several mergers and acquisitions that we witness in the industry. As they continue to use cutting-edge technology for their R&D practices, they will leverage technology to transform other functions as well.
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But this does not mean the hotel or destination must make the investment alone, or even all on-site. Using systems integrators and cloud resources to create digital enabled platforms for guest management, hygiene process management and physical mapping of the capacity of the facility using sensors and mobile are all methods for enabling the digital acceleration of tech investment in the property.
And personalisation of the experience is key, which leads to a discussion of personal data usage and management.
Social Distancing and the Hotel of the New Normal
Retailers, hoteliers and convention centres have the same thing in common, they are all physical locations trying to become safe yet contactless, socially distant yet memorable at the same time. As we have mentioned in previous reports, the comfort, safety and hygiene of the customer is paramount for their return to Hospitality. Using customer location data on a reliable online platform to track their movement, enable their facilities and services and limit the density of customers per square metre for health, safety and comfort are all aspects of tech-enabled social distancing.
Imagine that you are considering a day stay, for home working alternative or for having a local event. This needs to be within the sanctioned numbers of your locale. Guests want to know the population density of the location to determine their comfort level. Having a mobile app where potential visitors can see the state of the visitor density of the hotel would provide reassurance as to a safe visit.
Rich Contactless Content
With the encouragement of expanding the scope of technology and social distancing given priority, automated or contactless transaction technologies have seen an increase in implementation in the last six months. Having sensors and IoT technology implemented to see the footprint of the facility in use provides real-time insight for both the customer and the hotel, as to usage.
In order to be able to highlight the functions of both the room and the facility, augmented reality (AR) can demonstrate the use of interactive elements within hotel rooms without human contact.
AR applications within the hotel sector include offering in-house interactive elements (such as location maps and relevant points of interest). These provide digital history of the property and supply guests with relevant information when they are located within certain areas of the hotel (such as a menu if they happen to enter a restaurant).
Use of Space: Location & Hygiene for a Better Experience and as a Precaution
Hotel environments have evolved to add a healthcare layer, including well-being programs, and individual room controls. This includes materiality/ sanitised covering that protects against the spread of infection with clearly defined and explained roll-out cleaning protocols.
With contact tracing in the news, many of us are already aware of the digital footprints we leave everywhere we go. And people have a wide variety of personal responses to this.
So how does a hotel use the information a guest either willingly offers or the hotel learns via services provided? If the hotel knows preferences prior to arrival, should they customise the room accordingly? Lighting, scent, preferred pillow choice, allergies – all are useful information. But what if preferences change or implementations are seen to be presumptuous?
Hilton is continually updating its guest technology offerings, from increasing in-app functionality to making further improvements to the entertainment system. One of their ideas is allowing guests to load personal or family pictures. These display on the TV, giving their hotel room more of a familiar sense of home.
And to be both keyless and cashless means the hotel needs to be mobile data enabled. All of this data, including mobile data, should flow like fine wine. But to do that requires knowledge, and learning – gained from experience and AI. How can I check your preferences are still the same? How should I use information I collected on you from a previous stay? Is that data kept on your mobile device, or on my hotel server? Is this in the cloud or on-premise in some manner?
Using Data and Intelligence for Personalised Experiences
The final point shown in Figure 3 from the Ecosystm Digital Priorities in the New Normal study on technology direction from the pandemic, combined with Figure 4 from the Ecosystm AI Study showing the use of AI, highlights the need for technologies that support customer experiences and automate processes. Whether it is customer authentication at check-in, virtual customer assistance or rate pricing for appropriate engagement, technology can enable guest appreciation.
Summary – Three Post-Pandemic Takeaways
1. Demand for rooms will have to be viewed differently during this period, and cancellation policies already reflect this. To view recovery, use metrics that look at how the whole asset is being used on a physical basis.
2. Re-imagination of the physical asset will involve some agility and re-purposing within the business. Technology can help enable this, with some wise additions to add value. Voice, IoT and contactless mobile apps all are good candidates for enablement.
3. Data helps with understanding of guest preferences and can be used for staff learning and knowledge. But it must be held and used correctly. Listen carefully to what the guest is telling you and respond accordingly.
The five-year partnership will involve Microsoft and NAB sharing development costs and investments to migrate around 1,000 out of 2,600 applications from the NAB and BNZ stacks, on Microsoft Azure. By 2023, NAB aims to run 80% of its application on the cloud, build a robust cloud foundation, and enable customers to access applications and services on the cloud.
The partnership aims to support NAB’s commitment to continuous improvement and innovation, leveraging the Microsoft global engineering team. It also involves setting up of the NAB Cloud Guild program, where Microsoft will train 5,000 NAB and BNZ technologists to equip them on cloud and allied technology skills.
NAB and Microsoft have previously collaborated to improve the experience for NAB customers, through cloud-based applications. NAB’s cloud-based AI powered ATM was the result of a proof-of-concept (PoC) developed on Microsoft Azure’s cognitive services, in 2018. It involved general ATM security captures along with facial biometrics to enable customers to withdraw cash without a card or a phone.
Ecosystm Principal Advisor, Tim Sheedy says, “If ever there was a sign that multicloud is the predominant approach for businesses, this is it. NAB is a big AWS client – in Australia and New Zealand. They lead the way for businesses in training thousands of employees on AWS technologies through their Cloud Guild. But now Azure is also developing a strong foothold in NAB – the public cloud services market is not a one-horse race!”
“Many businesses that have standardised on – or preferred – a single cloud vendor will find that they will likely use multiple cloud environments, in the future. The key to enabling this will be the adoption of modern development environments and architectures. Containers, microservices, open-source, DevOps and other technologies and capabilities will help them run their applications, data and processes across the best cloud for them at the time – not just the one that they have used in the past.”
Sheedy thinks, “NAB’s competitive advantage will not come from whether they are using AWS or Azure – it will come from the significant time and effort they are investing in giving their employees the skills they need to take advantage of these environments to drive change at pace. Too many businesses are increasing their cloud usage without making the necessary investments to upskill their employees – if you know you are planning to spend more on the cloud, then start now in reskilling and upskilling your staff. There is already a real shortage of cloud skills and it is only going to get worse.”
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5/5 (2) This week saw SAS and Microsoft announce a strategic partnership both in their technology offerings and go-to-market strategy. SAS analytical products and industry solutions will be migrated onto Microsoft Azure as the preferred cloud provider for the SAS Cloud. Microsoft hopes to leverage SAS’ industry expertise, especially in healthcare and financial services. This partnership builds on SAS integrations across Microsoft cloud solutions for Azure, Dynamics 365, Microsoft 365 and Power Platform.
Here is what our Analysts say:
“To date, the focus of cloud computing has been around providing customers with levels of agility, speed, and scalability that cannot be provided by on-premises solutions. Customers have benefitted from this cloud functionality by being able to provision new services rapidly, pivot swiftly when they need to change their business models and build resilience and flexibility into the ways in which they do business. Today, customers are asking for more. Microsoft has responded to this demand by forming or enhancing cloud partnerships with leading cloud vendors including Salesforce, SAP, Oracle, Workday, ServiceNow and Adobe, as part of an overall strategy to make it easier for customers to choose Azure as their key enterprise foundation, and to offer more functionality.
Across industries, from healthcare to financial services, businesses finally realise the potential value of data. They recognise that the most competitive businesses are those that fully leverage the data that they can access. Businesses want cloud services to offer AI and machine learning capabilities. They want to use these capabilities to become more innovative and more competitive. To do this, these cloud services need to be integrated more tightly with capabilities which Microsoft does not have.
SAS is the leader in data analytics and AI software for enterprises, so it makes perfect sense for Microsoft to partner with the company. Integrating SAS models with Microsoft’s cloud estate, in particular Azure will enable Microsoft to offer its customers more than the typical benefits of cloud services. They can offer their customers intelligent cloud services.
SAS can offer its customers a more comprehensive solution by integrating its AI and machine learning capabilities into the Microsoft cloud estate. SAS and Microsoft will combine their engineering resources to ensure that SAS’ analytics products work well on Azure. A key priority is building an Azure-optimised version of Viya, the cloud version of SAS’ core analytics toolkit. SAS will also look at ways in which it can integrate its software with the native analytics services provided in Azure.
Importantly, companies will create joint solutions across multiple verticals. An example of a joint solution is SAS’ IoT analytics and the Azure IoT platform being used to increase situational awareness of rising stream levels, to predict where flooding might occur, thus improving emergency response.
SAS software will continue to be cloud-agnostic. But, SAS itself will migrate its internal operation and its global cloud business to Azure. The expanded partnership with Microsoft does not impact SAS customers who run on AWS or GCP. But, Azure customers can expect to see benefits over time as SAS and Microsoft work closely on joint solutions.”
“The SAS and Microsoft relationship goes well beyond ‘Azure is our cloud hosting platform of choice’. It brings together Microsoft’s leading suite of AI tools and cloud infrastructure and platform capabilities and the leading analytics and intelligent applications provider. Through the combined toolset, every-day applications have the opportunity to become even more intelligent – and the industry-specific intelligent business processes that SAS is known for will be able to be hosted on the cloud, and more deeply integrated into existing solutions and PaaS services. The ability to embed SAS workloads into containers means that a broader user set can access and learn from the analytics that they provide – and automate an even greater number of business and customer processes using the AI and Analytics toolsets from both providers.
It also simplifies the management of SAS software and gives a clear and easy path to the public cloud for SAS customers who have not yet made that transition.
The partnership has the opportunity to further accelerate Microsoft’s transition towards even smarter applications. Microsoft has already been recognised in the market as having one of the better AI capabilities – mostly because of embedding intelligence into existing applications and processes. But Microsoft was never going to be able to provide the intelligence for every process in every industry. This partnership will accelerate Microsoft towards the automation of more processes that are used by customers across the spectrum of sectors and industries – and it obviously extends SAS’ reach beyond their traditional customer base.”
5/5 (2) In his blog, The Cybercrime Pandemic, Ecosystm Principal Advisor, Andrew Milroy says, “Remote working has reached unprecedented levels as organisations try hard to keep going. This is massively expanding the attack surface for cybercriminals, weakening security and leading to a cybercrime pandemic. Hacking activity and phishing, inspired by the COVID-19 crisis, are growing rapidly.” Remote working has seen an increase in adoption of cloud applications and collaborative tools, and organisations and governments are having to re-think their risk management programs.
We are seeing the market respond to this need and May saw initiatives from governments and enterprises on strengthening risk management practices and standards. Tech vendors have also stepped up their game, strengthening their Cybersecurity offerings.
Market Consolidation through M&As Continues
The Cybersecurity market is extremely fragmented and is ripe for consolidation. The last couple of years has seen some consolidation of the market, especially through acquisitions by larger platform players (wishing to provide an end-to-end solution) and private equity firms (who have a better view of the Cybersecurity start-up ecosystem). Cybersecurity providers continue to acquire niche providers to strengthen their end-to-end offering and respond to market requirements.
As organisations cope with remote working, network security, threat identification and identity and access management are becoming important. CyberArk acquired Identity as a Service provider Idaptive to work on an AI-based identity solution. The acquisition expands its identity management offerings across hybrid and multi-cloud environments. Quick Heal invested in Singapore-based Ray, a start-up specialising in next-gen wireless and network technology. This would benefit Quick Heal in building a safe, secure, and seamless digital experience for users. This investment also shows Quick Heal’s strategy of investing in disruptive technologies to maintain its market presence and to develop a full-fledged integrated solution beneficial for its users.
Another interesting deal was Venafi acquiring Jetstack. Jetstack’s open-source Kubernetes certificate manager controller – cert-manager – with a thriving developer community of over 200 contributors, has been used by many global organisations as the go-to tool for using certificates in the Kubernetes space. The community has provided feedback through design discussion, user experience reports, code and documentation contributions as well as serving as a source for free community support. The partnership will see Venafi’s Machine Identity Protection having cloud-native capabilities. The deal came a day after VMware announced its intent to acquire Octarine to extend VMware’s Intrinsic Security Capabilities for Containers and Kubernetes and integrate Octarine’s technology to VMware’s Carbon Black, a security company which VMware bought last year.
Cybersecurity vendors are not the only ones that are acquiring niche Cybersecurity providers. In the wake of a rapid increase in user base and a surge in traffic, that exposed it to cyber-attacks (including the ‘zoombombing’ incidents), Zoom acquired secure messaging service Keybase, a secure messaging and file-sharing service to enhance their security and to build end-to-end encryption capability to strengthen their overall security posture.
Governments actively working on their Cyber Standards
Governments are forging ahead with digital transformation, providing better citizen services and better protection of citizen data. This has been especially important in the way they have had to manage the COVID-19 crisis – introducing restrictions fast, keeping citizens in the loop and often accessing citizens’ health and location data to contain the disaster. Various security guidelines and initiatives were announced by governments across the globe, to ensure that citizen data was being managed and used securely and to instil trust in citizens so that they would be willing to share their data.
Singapore, following its Smart Nation initiative, introduced a set of enhanced data security measures for public sector. There have been a few high-profile data breaches (especially in the public healthcare sector) in the last couple of years and the Government rolled out a common security framework for public agencies and their officials making them all accountable to a common code of practice. Measures include clarifying the roles and responsibilities of public officers involved in managing data security, and mandating that top public sector leadership be accountable for creating a strong organisational data security regime. The Government has also empowered citizens to raise a flag against unauthorised data disclosures through a simple incident report form available on Singapore’s Smart Nation Website.
While governments will continue to strengthen their Cybersecurity standards, the truth is Cybersecurity breaches often happen because of employee actions – sometimes deliberate, but often out of unawareness of the risks. As remote working becomes a norm for more organisations, there is a need for greater awareness amongst employees and Cybersecurity caution should become part of the organisational culture.
Technology providers, including Cybersecurity vendors, continue to evolve their offerings and several innovations were reported in May. Futuristic initiatives such as these show that technology vendors are aware of the acute need to build AI-based cyber solutions to stay ahead of cybercriminals.
Samsung introduced a new secure element (SE) Cybersecurity chip to protect mobile devices against security threats. The chip received an Evaluation Assurance Level (EAL) 6+ certification from CC EAL – a technology security evaluation agency which certifies IT products security on a scale of EAL0 to EAL7. Further applications of the chip could include securing e-passports, crypto hardware wallets and mobile devices based on standalone hardware-level security. Samsung also introduced a new smartphone in which Samsung is using a chipset from SK Telecom with quantum-crypto technology. This involves Quantum Random Number Generator (QRNG) to enhance the security of applications and services instead of using normal random number generators. The technology uses LED and CMOS sensor to capture quantum randomness and produce unpredictable strings and patterns which are difficult to hack. This is in line with what we are seeing in the findings of an Ecosystm business pulse study to gauge how organisations are prioritising their IT investments to adapt to the New Normal. 36% of organisations in the Asia Pacific region invested significantly in Mobile Security is a response to the COVID-19 crisis.
The same study reveals that nearly 40% of organisations in the region have also increased investments in Threat Analysis & Intelligence. At the Southern Methodist University in Texas, engineers at Darwin Deason Institute for Cybersecurity have created a software to detect and prevent ransomware threats before they can occur. Their detection method known as sensor-based ransomware detection can even spot new ransomware attacks and terminates the encryption process without relying on the signature of past infections. The university has filed a patent for this technique with the US Patent and Trademark Office.
Microsoft and Intel are working on a project called STAMINA (static malware-as-image network analysis). The project involves a new deep learning approach that converts malware into grayscale images to scan the text and structural patterns specific to malware. This works by converting a file’s binary form into a stream of raw pixel data (1D) which is later converted into a photo (2D) to feed into image analysis algorithms based on a pre-trained deep neural network to scan and classify images as clean or infected.
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In Asia Pacific, the multi-cloud theme is being promoted heavily among integration providers with solutions that can plug into multiple clouds with virtual machine usage. Enterprises value enabled automated orchestration between cloud platforms. There will be a continued need for integrated tools across public and private clouds. This includes advanced analytics and AI as important aspects of an IT infrastructural investment.
Your choice of vendor for AI & Automation
In my opinion, AWS has the broadest AI service capabilities in the Asia Pacific cloud/ AI space, when compared to Microsoft, Google, and IBM. AWS provides users with pre-trained AI services for computer vision, language, recommendations, and forecasting to build, train, and deploy machine learning models at scale.
The Ecosystm VendorScope (Figure 1) rates the leading AI & Automation vendors in Asia Pacific based solely on quantifiable feedback from those who actually procure technology. It becomes clear from the responses that many organisations still start their AI journey through Automation.
Most organisations understand the importance of leveraging AI to gain competitive advantage. But they do not necessarily know where to start. The secret is that AI is about intelligent process automation, and the firms who understand this are not the ones automating tasks. The use of RPA with vendors such as Antworks, WorkFusion, Arago and Automation Anywhere, leverages automated reasoning using knowledge-based problem-solving engines. These vendors add RPA to AI, not the other way around.
And domain-specific service providers have been creating the synergies for enterprises to link intelligent automation software and industry knowledge to create the necessary end-to-end workflows. An innate understanding of the specific business process is key to leveraging intelligent automation.
Focusing on developing a modern data supply chain process, with actionable analytics insights built into the infrastructure, can aid the development of self-service business intelligence capabilities along with visual data discovery solutions.
Cloud enablement solutions generate maximum business value by enabling IT with scalability and flexibility. This can reduce maintenance and security costs. A focus on cloud intelligence and scalability allows IT departments to concentrate more on innovative solutions, insights and systems that drive significant business growth. Now is the time, and speed is of the essence.
Ecosystm Vendorscope: AI & Automation
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IoT is also being used for predictive maintenance and in enhancing employee safety. Smart sensors can monitor parameters such as vibrations, temperature and moisture, and detect abnormal behaviours in equipment – helping field workers to make maintenance decisions in real-time, enhancing their safety.
GIS is being used to get spatial data and map project distribution plans for water, sewage, and electricity. For instance, India’s Restructured Accelerated Power Development & Reforms Program (R-APDRP) government project involves mapping of project areas through GIS for identification of energy distribution assets including transformers and feeders with actual locations of high tension and low tension wires to provide data and maintain energy distribution over a geographical region. R-APDRP is also focused on reducing power loss.
Transparency and Efficiency using Blockchain
Blockchain-based systems are helping the Utilities industry in centralising consumer data, enabling information sharing across key departments and offering more transparent services to consumers.
Energy and Utilities companies are also using the technology to redistribute power from a central location and form smart contracts on Blockchain for decisions and data storage. This is opening opportunities for the industry to trade on energy, and create contracts based on their demand and supply. US-based Brooklyn Microgrid, for example, is a local energy marketplace in New York City based on Blockchain for solar panel owners to trade excess energy generated to commercial and domestic consumers. In an initiative launched by Singapore’s leading Power company, SP Group, companies can purchase Renewable Energy Certificates (RECs) through a Blockchain-powered trading platform, from renewable producers in a transparent, centralised and inexpensive way.
Blockchain is also being used to give consumers the transparency they demand. Spanish renewable energy firm Acciona Energía allows its consumers to track the origin of electricity from its wind and solar farms in real-time providing full transparency to certify renewable energy origin.
Intelligence in Products and Services using AI
Utilities companies are using AI & Automation to both transform customer experience and automate backend processes. Smart Meters, in itself, generate a lot of data which can be used for intelligence based on demographics, usage patterns, demand and supply. This is used for load forecasting and balancing supply and demand for yield optimisation. It is also being leveraged for targeted marketing including personalised messages on Smart Energy usage.
Researchers in Germany have developed a machine learning program called EWeLiNE which is helping grid operators with a program that can calculate renewable energy generation over 48 hours from the data taken from solar panels and wind turbines, through an early warning system.
Niche providers of Smart Energy products have been working with providing energy intelligence to consumers. UK start-up Verv, as an example, uses an AI-based assistant to guide consumers on energy management by tracing the energy usage data from appliances through meters and assisting in reducing costs. Increasingly, Utilities companies will partner with such niche providers to offer similar services to their customers.
Utilities companies have started using chatbots and conversational AI to improve customer experience. For instance, Exelon in the US is using a chatbot to answer common customer queries on power outages and billing.
While the predominant technology focus of Utilities companies is still on cost optimisation, infrastructure management and disaster management, the industry is fast realising the power of having an interconnected system that can transform the entire value chain.
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