As the search for a COVID-19 vaccine intensifies, there is a global focus on the Life Sciences industry. The industry has been hit hard this year – having to deliver overtime through a disrupted supply chain, unexpected demand spikes, and reduction of revenues from their regular streams. Life sciences organisations are already challenged by the breadth of their focus – across R&D and clinical discovery; Manufacturing & Distribution; and Sales & Marketing. Increasingly, many pharmaceutical and medtech organisations choose to outsource some of these functions, which brings to fore the need for a robust compliance framework. In the Ecosystm Digital Priorities in the New Normal Study, two-thirds of life sciences organisations mention that they have either been forced to start, accelerate or refocus their Digital Transformation initiatives – the remaining one-third have put their Digital Transformation on hold. The industry is clearly at an inflection point.
Challenges of the Life Sciences Industry
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.
Technologies such as AR/VR are also enabling Life Sciences companies with their diagnostics. Regeneron Pharmaceuticals has created an AR/VR app called “In My Eyes” to better diagnose vision impairment in patients.
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.
One of my Twitter followers who is stressing about her kids going back to school this Fall was wondering if hotels could start offering elearning assistance as part of the re-purposing of their facilities.
Is this part of a digital hotel of the future? This digital hotel is a facility that is welcoming, hospitable, warm and can be used as a multi-functional space. Traditional revenue generation is measured in revenue from room nights, but given that instability in current demand, the facility can be re-purposed to highlight its network-enabled footprint. This is where global design strategies that leverage technology come into play, with a focus on integrative design for use. Digital classrooms, art exhibitions, alternatives to working from home – many things are possible.
With travel restrictions and hygiene and health concerns, hotels and tourism locations globally are having to pivot to a different way of doing business this year. Agility is critical, and how we measure agility and employ agility differentiate us.
I will explore the alternative view on recovery looking at the impact of COVID-19 on organisations in the hospitality industry and how they are pivoting digital priorities to adapt to the New Normal.
This post will focus on two aspects of the use of digital technology – more innovative ways to view industry recovery, and re-imaging the use of the physical asset from its traditional uses to more creative, digitally enabled functions.
Moving Towards A Different View of Recovery
Since Online Travel Agents (OTA) entered the scene, the hotel industry became obsessed with simple adjustments of rates. Revenue managers focus on analysing, forecasting, and optimising hotel inventory through availability restrictions and dynamic rates. This has become key in measuring a hotel’s demand.
RevPAR, or revenue per available room, is one of the traditional and still the most instilled metrics in the industry. But given demand issues with the pandemic, is revenue forecasting per room the best way to examine hotel recovery? A traditional view on revenue fails when hotel closures and uncertainty on opening impact the ability to forecast and to determine capacity. As seen in Figure 1, both winning customers and increasing agility are paramount to recovery.
When a destination becomes inaccessible to the traditional clientele, your actual location becomes relevant to a different set of customers. This is for different reasons – so hotels must find different ways to leverage the resources and assets of the business.
One way of looking at this is by re-imaging the use of the physical assets and a suggested approach is looking towards profit planning and management with ProfPASF or Profit per Available Square Feet. We look at hotel construction costs this way, so it stands to reason that utilisation of the asset might also be examined from a cost benefit perspective.
Impact on Digital Transformation
Where does technology play a role in re-imaging Hospitality? As an enabler, a facilitator, a business model supporter? How does the process of Hospitality need to change, and how can technology help? As seen in Figure 2, hotels have had to accelerate and modify their plans.
The structural assets of the business must either be repurposed or repackaged to take travel restrictions and hygiene and safety concerns into account.
There are several good examples of hotels who have had the ability financially to rethink and restructure the footprint to address issues that have come from the pandemic. The ones that already planned renovations prior to the crisis have added hygiene aspects such as improved ventilation and less porous floors and fabrics in the selection of materials used. And adding better spatial design to public spaces has allowed them to reinforce the concept of luxury. Documented renovation can be seen in innovative design work by Onyx Hospitality Group, Blink Design Group, independent brand View Hotels and Banyan Tree Holdings.
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.
Accor has launched the Cleanliness & Prevention ALLSAFE label, and other brands like Hilton, Hyatt and IHG have tried to brand hygiene into the experience. But the challenge for many is how to restructure and re-image space utilisation to make it both pleasurable and secure.
Data for Purpose
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 National Australia Bank (NAB) and Microsoft announced a strategic partnership last week, to develop and architect a multicloud environment to be used by both NAB and its New Zealand counterpart, Bank of New Zealand (BNZ).
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.
Besides the partnership with Microsoft, NAB also uses Google Cloud for multicloud workloads as well as AWS for its AI competencies and resources across platforms. In February, NAB launched an AI-based voice service to boost the bank’s contact centre experience along with AWS.
Ecosystm Comments
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.”
Gain access to more insights from the Ecosystm Cloud Study
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.”
In his blog, The Cybercrime Pandemic, Ecosystm Principal Advisor, Andrew Milroy says, “Remote working has reached unprecedented levels as organisations try hard to keep going. This is massively expanding the attack surface for cybercriminals, weakening security and leading to a cybercrime pandemic. Hacking activity and phishing, inspired by the COVID-19 crisis, are growing rapidly.” Remote working has seen an increase in adoption of cloud applications and collaborative tools, and organisations and governments are having to re-think their risk management programs.
We are seeing the market respond to this need and May saw initiatives from governments and enterprises on strengthening risk management practices and standards. Tech vendors have also stepped up their game, strengthening their Cybersecurity offerings.
Market Consolidation through M&As Continues
The Cybersecurity market is extremely fragmented and is ripe for consolidation. The last couple of years has seen some consolidation of the market, especially through acquisitions by larger platform players (wishing to provide an end-to-end solution) and private equity firms (who have a better view of the Cybersecurity start-up ecosystem). Cybersecurity providers continue to acquire niche providers to strengthen their end-to-end offering and respond to market requirements.
As organisations cope with remote working, network security, threat identification and identity and access management are becoming important. CyberArk acquired Identity as a Service provider Idaptive to work on an AI-based identity solution. The acquisition expands its identity management offerings across hybrid and multi-cloud environments. Quick Heal invested in Singapore-based Ray, a start-up specialising in next-gen wireless and network technology. This would benefit Quick Heal in building a safe, secure, and seamless digital experience for users. This investment also shows Quick Heal’s strategy of investing in disruptive technologies to maintain its market presence and to develop a full-fledged integrated solution beneficial for its users.
Another interesting deal was Venafi acquiring Jetstack. Jetstack’s open-source Kubernetes certificate manager controller – cert-manager – with a thriving developer community of over 200 contributors, has been used by many global organisations as the go-to tool for using certificates in the Kubernetes space. The community has provided feedback through design discussion, user experience reports, code and documentation contributions as well as serving as a source for free community support. The partnership will see Venafi’s Machine Identity Protection having cloud-native capabilities. The deal came a day after VMware announced its intent to acquire Octarine to extend VMware’s Intrinsic Security Capabilities for Containers and Kubernetes and integrate Octarine’s technology to VMware’s Carbon Black, a security company which VMware bought last year.
Cybersecurity vendors are not the only ones that are acquiring niche Cybersecurity providers. In the wake of a rapid increase in user base and a surge in traffic, that exposed it to cyber-attacks (including the ‘zoombombing’ incidents), Zoom acquired secure messaging service Keybase, a secure messaging and file-sharing service to enhance their security and to build end-to-end encryption capability to strengthen their overall security posture.
Governments actively working on their Cyber Standards
Governments are forging ahead with digital transformation, providing better citizen services and better protection of citizen data. This has been especially important in the way they have had to manage the COVID-19 crisis – introducing restrictions fast, keeping citizens in the loop and often accessing citizens’ health and location data to contain the disaster. Various security guidelines and initiatives were announced by governments across the globe, to ensure that citizen data was being managed and used securely and to instil trust in citizens so that they would be willing to share their data.
Singapore, following its Smart Nation initiative, introduced a set of enhanced data security measures for public sector. There have been a few high-profile data breaches (especially in the public healthcare sector) in the last couple of years and the Government rolled out a common security framework for public agencies and their officials making them all accountable to a common code of practice. Measures include clarifying the roles and responsibilities of public officers involved in managing data security, and mandating that top public sector leadership be accountable for creating a strong organisational data security regime. The Government has also empowered citizens to raise a flag against unauthorised data disclosures through a simple incident report form available on Singapore’s Smart Nation Website.
Australia is also ramping up measures to protect the public sector and the country’s data against threats and breaches by issuing guidelines to Australia’s critical infrastructure providers from cyber-attacks. The Australian Cyber Security Centre (ACSC) especially aims key employees working in services such as power and water distribution networks, and transport and communications grids. In the US agencies such as the Cybersecurity and Infrastructure Security Agency (CISA) and the Department of Energy (DOE) have issued guidelines on safeguarding the country’s critical infrastructure. Similarly, UK’s National Cyber Security Centre (NCSC) issued cybersecurity best practices for Industrial Control Systems (ICS).
Cyber Awareness emerges as the need of the hour
While governments will continue to strengthen their Cybersecurity standards, the truth is Cybersecurity breaches often happen because of employee actions – sometimes deliberate, but often out of unawareness of the risks. As remote working becomes a norm for more organisations, there is a need for greater awareness amongst employees and Cybersecurity caution should become part of the organisational culture.
Comtech received a US$8.4 million in additional orders from the US Federal Government for a Joint Cyber Analysis Course. The company has been providing cyber-training to government agencies in the communications sector. Another public-private partnership to raise awareness on Cybersecurity announced in May was the MoU between Europol’s European Cybercrime Centre (EC3) and Capgemini Netherlands. With this MoU, Capgemini and Europol are collaborating on activities such as the development of cyber simulation exercises, capacity building, and prevention and awareness campaigns. They are also partnered on a No More Ransomware project by National High Tech Crime Unit of the Netherlands’ Police, Kaspersky and McAfee to help victims fight against ransomware threats.
The Industry continues to gear up for the Future
Technology providers, including Cybersecurity vendors, continue to evolve their offerings and several innovations were reported in May. Futuristic initiatives such as these show that technology vendors are aware of the acute need to build AI-based cyber solutions to stay ahead of cybercriminals.
Samsung introduced a new secure element (SE) Cybersecurity chip to protect mobile devices against security threats. The chip received an Evaluation Assurance Level (EAL) 6+ certification from CC EAL – a technology security evaluation agency which certifies IT products security on a scale of EAL0 to EAL7. Further applications of the chip could include securing e-passports, crypto hardware wallets and mobile devices based on standalone hardware-level security. Samsung also introduced a new smartphone in which Samsung is using a chipset from SK Telecom with quantum-crypto technology. This involves Quantum Random Number Generator (QRNG) to enhance the security of applications and services instead of using normal random number generators. The technology uses LED and CMOS sensor to capture quantum randomness and produce unpredictable strings and patterns which are difficult to hack. This is in line with what we are seeing in the findings of an Ecosystm business pulse study to gauge how organisations are prioritising their IT investments to adapt to the New Normal. 36% of organisations in the Asia Pacific region invested significantly in Mobile Security is a response to the COVID-19 crisis.
The same study reveals that nearly 40% of organisations in the region have also increased investments in Threat Analysis & Intelligence. At the Southern Methodist University in Texas, engineers at Darwin Deason Institute for Cybersecurity have created a software to detect and prevent ransomware threats before they can occur. Their detection method known as sensor-based ransomware detection can even spot new ransomware attacks and terminates the encryption process without relying on the signature of past infections. The university has filed a patent for this technique with the US Patent and Trademark Office.
Microsoft and Intel are working on a project called STAMINA (static malware-as-image network analysis). The project involves a new deep learning approach that converts malware into grayscale images to scan the text and structural patterns specific to malware. This works by converting a file’s binary form into a stream of raw pixel data (1D) which is later converted into a photo (2D) to feed into image analysis algorithms based on a pre-trained deep neural network to scan and classify images as clean or infected.
Focused on Digital Transformation? It is now more about how fast you can react to market shifts by using specific infrastructural resources.
This period is about digital acceleration. Cloud automation, artificial intelligence (AI), robotic process automation (RPA) and machine learning are all means to accelerate using infrastructure scalability.
Digital acceleration addresses the pace of change
Enterprises are searching to find unique and innovative ways to leverage cloud infrastructures with automation and intelligence. This is both to modernise and to optimise business processes while decreasing expenses. The speed at which the economic landscape has changed during the pandemic has removed debates on cloud usage:
- Remote work from home (WFH) with the need for video conferencing and collaboration tools has been supported by cloud
- Record amounts of SPAM and hacking attempts during the pandemic have leveraged cloud implementations for key security controls
- Tracking apps and classification and encryption of personally identifiable information (PII) via mobile devices are using cloud technology for greater automation and use of AI
Bandwidth and capacity are needed now. The ability to pivot, turn and shoot forward is critical to surviving and thriving in today’s radically changed marketplace. Cloud enablement can deliver enhanced customer experiences, monetise data assets, and can create new revenue streams by enabling new business models.
Cloud enablement explained
Digital acceleration is driven by cloud enablement, amplifying the enterprise value in the infrastructural investment.
Cloud enablement is an ongoing operational model. It incorporates orchestration, correctly organising teams, and a shift away from thinking only about platforms. The cloud platform is now a launchpad, not the main choice that has to be made. Orchestration is around the business and the business model, not just the technology.
Creating a cloud enablement strategic vision can identify where you need to go. It can provide the necessary requirements for expertise along the journey and deliver rapid, meaningful automation services engagements to deliver unbreakable delivery pipelines and agile cloud operations.
But this also involves managing and adjusting on the fly. Initial platform decisions, rolling out countless configuration changes and adjusting to new cloud investments make cloud enablement a tricky road to manage. Enterprises need to be cloud-smart towards their own business model and their strategy. Whatever configuration (on-prem, hybrid, private, public) combination works is dependent on many factors, including industry, size of the enterprise, employee resources and location.
The goal is implementing secure, flexible, scalable, and cost-effective cloud solutions. To do this requires regular cloud enablement audits as to the state of play and measuring successes.
Building and maintaining modern IT
Modern IT is hybrid and all the pieces that collect and manage the data need to be properly and securely managed. Just as technological (and economic) disruption has generally led to automation and the elimination of outdated processes, it has also always created new ideas and innovations.
One way to make your organisation more data-centric and digital is to selectively invest in those technology choices that are most adaptable and flexible to business needs. Data is the most strategic of assets and can be empowered by increasingly sophisticated intelligent operations. Process automation and AI help put that data to work by adding valued intelligence and encapsulating information.
Hybrid cloud coordination automated
Hybrid cloud coordination is an increasing enterprise demand, particularly in the Asia Pacific region, leading to enhanced data centres with joint customer support like the new Tokyo interconnection with Oracle and Microsoft Azure. The key to successfully monitoring a distributed cloud ecosystem is not only in gathering data on usage; it’s about knowing which questions to ask to make it more efficient and effective. This includes tracking connectivity speeds, creating common technical support and using single sign-on for better security. Here both AI and automation can help.
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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In the midst of the current global crisis, the Utilities industry has had to continue to provide essential public services – through supply chain disruption, reduction of demand in the commercial sector, demand spikes in the consumer sector, change in peak profiles, remote staff management, cyber-attacks and so on. Robust business continuity planning and technology adoption are key to the continued success of Utilities companies. The Ecosystm Business Pulse Study which aims to find how organisations are adapting to the New Normal finds that 6 out of 10 Utilities companies are accelerating or refocusing the Digital Transformation initiatives after the COVID-19 outbreak, underpinning the industry’s need for technology adoption to remain competitive.
Drivers of Transformation in the Utilities Industry
The Evolving Energy Industry. As consumers become more energy-conscious, many are making changes in their usage pattern to stay off the grid as much as possible, potentially reducing the customer base of Utilities companies. This increases their reliance on renewable energy sources (such as solar panels and wind turbines) and batteries, forcing Power companies to diversify and leverage other energy sources such as biomass, hydropower, solar, wind, and geothermal. The challenge is further heightened by the fast depletion of fossil fuels – it is estimated that the world will have run out of fossil fuels in 60 years. The industry is also mandated by government regulations and cleaner energy pacts that focus on climate change and carbon emission – there are strict mandates around how Utilities companies produce, deliver and consume energy.
Business Continuity & Disaster Management. Perhaps no other industry is as vulnerable to natural disasters as Utilities. One of the reasons why the industry has been better prepared to handle the current crisis is because their usual business requires them to have a strong focus on business continuity through natural disasters. This includes having real-time resource management systems and processes to evaluate the requirement of resources, as well as a plan for resource-sharing. There is also the danger of cyber-attacks which has been compounded recently by employees who have access to critical systems such as production and grid networks, working from home. The industry needs to focus on a multi-layered security approach, securing connections, proactively detecting threats and anomalies, and having a clearly-defined incident response process.
The Need to Upgrade Infrastructure. This has been an ongoing challenge for the industry – deciding when to upgrade ageing infrastructure to make production more efficient and to reduce the burden of ongoing maintenance costs. The industry has been one of the early adopters of IoT in its Smart Grid and Smart Meter adoption. With the availability of technology and advanced engineering products, the industry also views upgrading the infrastructure as a means to mitigate some of its other challenges such as the need to provide better customer service and business continuity planning. For example, distributed energy generation systems using ‘micro grids’ have the potential to reduce the impact of storms and other natural disasters – they can also improve efficiency and quality of service because the distance electricity travels is reduced, reducing the loss of resources.
The Evolving Consumer Profile. As the market evolves and the number of Energy retailers increases, the industry has had to focus more on their consumers. Consumers have become more demanding in the service that they expect from their Utilities provider. They are increasingly focused on energy efficiency and reduction of energy consumption. They also expect more transparency in the service they get – be it in the bills they receive or the information they need on outages and disruptions. The industry has traditionally been focused on maintaining supply, but now there is a need to evaluate their consumer base, to evolve their offerings and even personalise them to suit consumer needs.
The global Ecosystm AI study reveals the top priorities for Utilities companies, that are focused on adopting emerging technologies (Figure 1). It is noticeably clear that the key areas of focus are cost optimisation (including automating production processes), infrastructure management and disaster management (including prevention). 
Technology as an Enabler of Utilities Sector transformation
Utilities companies have been leveraging technology and adopting new business models for cost optimisation, employee management and improved customer experience. Here are some instances of how technology is transforming the industry:
Interconnected Systems and Operations using IoT
Utilities providers have realised that an intelligent, interconnected system can deliver both efficiency and customer-centricity. As mentioned earlier, the industry has been one of the early adopters of IoT both for better distribution management (Smart Grids) and for consumer services (Smart Meters). This has also given the organisations access to enormous data on consumer and usage patterns that can be used to make resource allocation more efficient.
For instance, the US Government’s Smart Grid Investment Grant (SGIG) program aims to modernise legacy systems through the installation of advanced meters supporting two-way communication, identification of demand through smart appliances and equipment in homes and factories, and exchange of energy usage information through smart communication systems.
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.
I’m really excited to launch our AI and Automation VendorScope! This new tool can help technology buyers understand which vendors are offering an exceptional customer experience, which ones have momentum and which are executing and delivering on their promised capabilities. The positioning of vendors in Ecosystm VendorScopes is independent of analyst bias or opinion or vendor influence – customers directly rate their suppliers in our ongoing market benchmarks and assessments.
The Evolution of the AI Market
The AI market has evolved significantly over the past few years. It has gone from a niche, poorly understood technology, to a mainstream one. Projects have moved from large, complex, moonshot-style “change the world” initiatives to small, focused capabilities that look to deliver value quickly. And they have moved from primarily internally focused projects to delivering value to customers and partners. Even the current pandemic is changing the lens of AI projects as 38% of the companies we benchmarked in Asia Pacific in the Ecosystm Business Pulse Study, are recalibrating their AI models for the significant change in trading conditions and customer circumstances.
Automation has changed too – from a heavily fragmented market with many specific – and often very simple tools – to comprehensive suites of automation capabilities. We are also beginning to see the use of machine learning within the automation platforms as this market matures and chases after the bigger automation opportunities where processes are not only simplified but removed through intelligent automation.
Cloud Platform Providers Continue to Lead
But what has changed little over the years is the dominance of the big cloud providers as the AI leaders. Azure, IBM and AWS continue to dominate customer mentions and intentions. And it is in customer mentions that the frontrunners in the VendorScope – Microsoft and IBM – set themselves apart. Not only are they important players today – but existing customers AND non-customers plan to use their services over the next 12-24 months. This gives them the market momentum over the other players. Even AWS and Google – the other two public cloud giants – who also have strong AI offerings – didn’t see the same proportions of customers and prospects planning to use their AI platforms and tools.
While Microsoft and IBM may have stolen the lead for now, they cannot expect the challengers to sit still. In the last few weeks alone we have seen several major launches of AI capabilities from some providers. And the Automation vendors are looking to new products and partnerships to take them forward.
Without the market momentum, Microsoft and IBM would still stand above the rest of the pack – just not as dramatically! Both companies are not just offering the AI building blocks, but also offer smart applications and services – this is possibly what sets them apart in an era where more and more customers want their applications to be smart out-of-the-box (or out-of-the-cloud). The appetite for long, expensive AI projects is waning – fast time to value will win deals today.
The biggest change in AI over the next few years will hopefully be more buyers demanding that their applications are smart out-of-the-box/cloud. AI and Automation shouldn’t be expensive add-ons – they should form the core of smart applications – applications that work for the business and for the customer. Applications that will deliver the next generation of employee and customer experiences.
Ecosystm Vendorscope: AI & Automation
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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.
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.