Unlocking Value from Industrial Data

Unlocking Value from Industrial Data


Recently my team and I were discussing how to help our clients unlock the value of their industrial and manufacturing data. These industries often wrestle with terabytes of time-series data from a myriad of sensors, machines, processes and external sources. Each data source could potentially include different features with various formats, have non-rationalized time intervals and be generated from various proprietary technologies. The challenge of making this data available on a platform where workers can exploit the data and discover its hidden value can be overwhelming. Here is where the vision of AI Democratization often hits its first significant roadblock.

Managers who are tempted to feel elated at the prospect of having access to all the data they could ever wish for, soon realize it is a data sword of Damocles* hanging by a thread, ready to snap and bury them if they can’t find a way to unlock its value.
Richard Westall’s Sword of Damocles, 1812
* The parable of the sword of Damocles teaches us that no matter how good someone’s life may appear, it’s difficult to be happy living under existential threat.

The Modern Historian

The Data Historian manages data from cradle to grave (assuming your data ever dies!)
This brings me to one of my favorite tech journalists, Rob O’Regan. He tackles some of these issues in an article written for CIO in May 2021. Specifically Rob makes the case for modernization of data/operational historians. These platforms must modernize: shift from collecting, dumping and dashboarding data for reporting on what has happened and perhaps what is happening now, into cloud-ready, end-to-end platforms that can use AI/ML to predict what will happen next. These platforms must be available to many personas in the organization and provide data in a way that presents a low-impedance environment for people to get what they need, quickly.
Features of a modernized historian
  • Cloud-base
  • Scale up/down to any workload requirements
  • Real-time data ingest
  • Integrated and standardize data from any industrialized data source
  • Feature stores
  • Versioning
  • Low Code/No Code programming
  • Advanced Analytics, AI/ML

MLOps No Longer an Option

Having said all of the above, little is accomplished if these advanced AI/ML platforms are not managed with MLOps best practices. The entire end-to-end data pipeline, from raw data intake to actionable insights, must itself be industrialized. MLOps ensures your ML pipeline can create, train, evaluate, validate, deploy and monitor the quality of ML models and update them when performance starts to degrade.


Data scientists require a laboratory for experiments which can then be automatically deployed into your ML pipeline for full lifecycle management. Everybody knows that Henry Ford didn’t make automobiles – he made the assembly line, which made automobiles. Your ML pipeline is the product, which if done well, will generate endless business value.

MLOps is the industrialization of data science
Benefits of MLOps Best Practices
Optimize Operations and Reduce Cost Increase Quality and Model Effectiveness
Automation eliminates manual practices Capture knowledge and expertise
Continuous Integration/Delivery/Training Version everything for repeatability
Reduce time-to-value Transparency for regulatory/ethical compliance
Eliminate technical debt Continuously monitor model performance
Onboard new employees quickly Manage failures in production

Final Thoughts

Everyone knows that there is value in data and that leveraging that value means a more successful business. The problem is very few organizations understand the way to derive value from data. It all starts with the data, skilled people and an analytic platform. These elements together make for an AI Factory. It is best to find a partner who has both the skilled consultants to show the way and a fully functional platform to provide the data historian and MLOps people with the technology they need to succeed. MLOps is no longer an option on this journey. Of course I would say that. I work for just such a company.

Check us out at www.tcgdigital.com.

About tcg mcube

tcg mcube is an advanced analytics and AI Platform, which allows users to create compelling business solutions for tackling complex industry problems. With its modular architecture, tcg mcube handles many data sources, and it provides an efficient “cut-and-fit” into legacy environments if needed. Its mantra: Velocity to Value.


  • Ingest structured and unstructured data from diverse sources
  • Store ingested data within big data stores and data lakes
  • Provide a library of algorithms for ML and AI
  • Create stunning visualizations using a powerful BI library
  • Empower the modern Data Historian
  • Enable MLOps to optimize data value

Cloud Migration & Modernization

Cloud Migration & Modernization


Running your business in the cloud has many benefits, such as becoming more agile, the ability to go global quickly and significant cost savings. With so much to offer, it is apparent why leading organizations are looking to leverage the benefits of cloud computing. Not only are firms migrating applications and datacenters to the cloud, they are taking advantage of leading capabilities offered by cloud providers. Business and IT users benefit in myriad ways, such as fast virtual desktops, advanced AI and machine learning analytics, automated data backup and rapid disaster recovery.

However, some organizations are hesitant to begin a cloud adoption journey due to perceived challenges and roadblocks. These first steps are made easier if a cloud migration follows well established strategies. Cloud migration and modernization should be viewed as a continuous process that requires change management spanning people, process and technology. Taking a comprehensive approach will not only help you successfully navigate the journey, but ensure that you realize the intended benefits of being more agile, having the ability to scale, and operational efficiency.

Cyber Security Details

Build a better security posture by collaborating with TCG Digital


We will help you to identify the threats, gauge their repercussions and take necessary steps to create a trusted environment. We will provide you with a well-thought out roadmap while ensuring that you strike the right balance between mitigating risks and innovation. Understand our cybersecurity offerings in detail and make informed decisions on how to deal with an ever-escalating threat landscape.

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Cargo Landing Page

Accelerate your Aviation Growth through AI-enabled improved Cargo Operations by collaborating with TCG Digital


We help you to efficiently resolve all your varied cargo problems. Not just that, we enhance your cargo operations for better performance that significantly leads to improved cargo revenue.

Besides, leveraging our two decades of domain experience, we are leading this journey, with our complete spectrum of digital transformation initiatives encompassing platforms, strategies, technology, and analytics.

Our advanced analytics and AI platform – tcg mcube- helps create the most agile digital ecosystem for all your operations. With a well-defined roadmap, we ensure that you strike the right balance between streamlining your cargo operations and progressive innovation for accelerated growth.

Understand our offerings in detail and make informed decisions on how to deal with an ever-changing cargo landscape.

The Colonial Pipeline Cyberattack: Explained

The recent cyberattack on the Colonial Pipeline Company in the United States has adequately demonstrated the significance of cybersecurity, where the slightest lapse in digitally securing the organization can prove to be the Achilles heel. Through this example of a digital attack, we notice the real-world consequences that impact physical assets, livelihood, and the economy. In this blog, we shall explore some cybersecurity measures on how to combat cyberattacks like the one on Colonial Pipeline.


The Giant Company

The Colonial Pipeline Company, headquartered in Georgia, operates the largest pipeline system for refined oil products in the U.S. This network of pipelines extends between New York and Texas, is 5500 miles long, and provides almost 45% of the East Coast’s fuel.


What had happened? The Incident that Brought the Company to a Grinding Halt

In May, Colonial Pipeline came under a cyberattack and all IT operations had to be immediately stopped. The incident surfaced as a ransomware outbreak organized by a cybercriminal hacking group called DarkSide. The malware they launched jeopardized the company’s necessary technology and equipment, which managed the pipelines.


Who all were affected? The Ramifications

During this time period, the entire service of fuel supply was paralyzed from Texas to New York. It invariably led to a shortage of available gas, which in turn, increased the gas-rate as well.


How did it exactly happen? The Way of Cybercriminals

The cybercriminals got hold of “Colonial Pipeline” through an inactive Virtual Private Network (VPN). Though, not in use, the VPN had been accepted by the Colonial Server and remained associated. Credentials of the cybercriminals were found from the dark web and they also claimed double extortion.

This meant that, in addition to the ransomware for encrypts of data, the cyberattackers had also stolen nearly 100 GB of critical data. There is sufficient evidence to conclude the hackers’ movement around the IT network.

While FBI was investigating, DarkSide, the cybercriminal group demanded 75 BTC ($4.4 million) for releasing the compromised data it had exfiltrated by using the ransomware.

After the payment, the Department of Justice (DOJ) USA stated that around 64 BTC was recovered from the virtual wallet, which the cybercriminals had used to collect the payment from the victim.

Nowadays, hackers use a new perspective called double extortion. It means they will not only encrypt the data but will also sell it.


The Consequence – DarkSide lost access to Infrastructure

The virtual wallet was seized from DarkSide and FBI recovered funds along with other US government facilities. It put out an online statement in a forum that “Services were ceased (country not named); money of advertisers and founders was transferred to an unknown account”. The hacker group also claimed that they had released the decryption tools to all the companies they attempted to extort data from, but were yet to receive payments.


Mitigations – How to Shield against Cyberattacks?
The number of cyberattacks through ransomware extortion in America’s energy infrastructure, oil and gas and power sector has increased tremendously. Such attacks are adversely affecting the oil and gas production along with the other supply chains across the globe.

Some measures to prevent cyberattacks:
  • Backups are important: Use backup systems and create multiple copies. They also need to be tested for infected files.
  • Disable Macro: If the Macro is not disabled then Microsoft files, transferred within the emails, may contain malicious scripts.
  • Endpoint Protections and Antivirus: Performing regular system scans and updating the antivirus signatures are critical. The EDRs should be configured and updated as per the latest rules and policies.
  • System Patches: Devices, including applications and cloud management systems should be patched and updated regularly. If possible, a centralized patch management system should be used.
  • Internet Access Restrictions: The key point of a ransomware’s entry consists of social network websites and personal mails. Creating limitations on access and imposing restrictions can be beneficial.
  • Monitor Third party: Continuous monitoring of network and activities regarding all third-party involvements are needed.
  • Restricted Policies: The key targets of Ransomwares are directories like Temp. Hence, such directories, in addition to on-memory execution should be blocked.


Responding to Ransomware – How to Treat Compromised Systems?
  • Isolate the infected system from the network to contain the malware and prevent it from spreading.
  • Find out if a decryptor is available or not. There are plenty of online resources available like https://www.nomoreransom.org/
  • Restore files from the backups held earlier

Thus, it can be noticed that while precaution is better than cure; in certain critical instances like cyberattacks, precaution is the only cure!

The Nuances of Ransomware Protection Unveiled

What is a Ransomware?
Ransomware is a kind of malware that pressurizes a victim to pay ransom, and unless and until the ransom fee is paid, the data of the victim remains encrypted or blocked from his access. Within the context of this attack, an entire organization is left paralyzed.
How they spread?
Ransomware spreads through phishing emails which contain malicious attachments or through software which a user downloads unknowingly. The attachment can be in any format such as ZIP files, Word documents, Excel spreadsheets, and even more. A ransomware attack can also take place when a user visits a website he is not aware of.
WannaCry-a ransomware
WannaCry ransomware (also known as Wana Decrypt0r, WCry, WannaCrypt) came to notice in the year 2017. A massive attack across multiple countries took place on 12 May 2017. Multiple reports mention that a total of 300,000+ systems were affected in over 150 countries. The ransomware attack affected multiple industries including healthcare, government, telecommunications, and petrochemicals. The true nature of this malware is that it comes under a worm classification which means that it can replicate itself in order to spread within an entire network. Researchers also mentioned that WannaCry has an encryption component that is based on public-key cryptography.
How WannaCry infects the systems?
The malware uses the famous Eternal Blue and DoublePulser exploits that were developed by NSA (National Security Agency). These exploits were leaked in 2017 by the Shadow Brokers group. The Eternal blue exploits the SMB v1 vulnerability, which Microsoft patched on 14th March 2017 and added to the security bulletin-MS17-010. The following vulnerability allows an attacker remote code execution by sending crafted messages and connects to TCP ports 139 and 445 of unpatched Windows system. Once the Eternal Blue exploit is executed, WannaCry tries to insert the DoublePulser through the system backdoor.
  • Don’t click on suspicious links: If you feel that the link within an email is not relevant then it’s best to avoid clicking on it. Sometimes when a user interacts with the link, say by clicking on it, the malware starts downloading itself.
  • Information related to you: Let’s say you receive a call, message from an unknown contact, do not respond to them. The attacker may have a phishing attack in mind and sharing personal information would make you vulnerable.
  • USB drives: If an unknown person (untrusted source) hands over a USB drive to you, never plug-in the device into your system. This device may contain auto-run scripts which can be executed once you connect the drive to the system.
  • Updating your Operating System: Keep your programs and operating system updated as the vendors provide regular patches, which are sometimes critical security updates. If you abide by this practice attackers will find it difficult to exploit your system or network.
  • Using VPN: We as daily users connect to public networks (Wi-Fi) in coffee shops, subways, railway stations, and restaurants. Nevertheless, we do not realize that connecting to a public network makes us vulnerable to cyber-attacks. Therefore, it is a good practice that we use VPNs while we are in a public place. Another word of caution though; until very essential, do not use public networks.
  • Downloading Software: Ideally users should download software from a known source that they can rely on; meaning files from an unknown source may contain ransomware.
  • Application whitelisting: Configure operating systems or use third-party software to only allow authorized applications to run on computers, thus preventing ransomware from working.
  • Awareness: For organizations, it will prove beneficial if they educate their employees on practices and programs based on ransomware protection along with countermeasures for an attack.
If remote services are not required, it is advised that an individual turns them off. This will make the system more secure. Hence, attackers will not be able to execute remote exploits. For organizations, plenty of endpoint protection software are available, which protect against ransomware. Apply content filter for your mail servers and block websites that are malicious. There are firewall rules that can protect you against ransomware and these configurations should be applied.
Additionally, within Windows, a feature is available for data backup, and it is a good practice that users keep a backup of their data. If NAS (Network Attached Storage) is configured within a network, it can also be a target of ransomware. This is one reason why you should create regular back-ups of your data and save multiple copies.
To avoid becoming a victim of ransomware, we urge you to adopt the necessary precautionary measures and block future attacks. In case you are still a victim of ransomware we encourage you to take necessary action by referring to the above protective measures.

How Emerging Technologies are reshaping the Future of Retail?

While the impact of COVID-19 is being felt all over the world, retail is among those sectors which have been hardest hit. It is fraught with low supply and demand, dysfunctional supply chain, and an increasing reliance on customers. As retailers continue to struggle, few critical trends have emerged which range from changed product mixes to complex consumer-retailer interactions defined by safety, and growing demand for convenience. This has led businesses to quickly adopt new technologies as they navigate unchartered territories, and try to stay relevant and profitable.

AI is revolutionizing retail
It would not be wrong to state that now is the time for brands to think digital. In their effort to meet changing customer requirements, it is technologies like artificial intelligence (AI) and machine learning (ML) which will help them stay afloat. As compared to traditional analytics, they come with an entirely new level of data processing capabilities which leads to more valuable insights. At present 28% of retailers already deploy AI/ML solutions which equal to a seven-fold increase from 2016 (Source: SPD Group). By adopting AI, retailers can glean valuable insights from customer intelligence and behavioral data and make informed decisions. By capitalizing on AI, specifically on ML retailers are providing immersive experiences to captivate customers, synchronizing offline and online channels for seamless service delivery, and redefining traditional supply chains on the lines of flexible systems which accurately respond to shifting consumer mindsets.

Demand forecasting
Amidst all these changes, retailers are faced with one critical question, which is, how will the pandemic impact demand and how can they accurately predict the shift? Many retailers are turning to ML-powered demand forecasting to adapt to today’s reality. In contrast to traditional forecasting methods, this new approach is more adaptable to changes and can be implemented faster. ML enables systems to learn automatically and improve recommendations with data alone, without relying on human intervention for additional programming. As retailers generate large amounts of data, ML technology can often deliver significant business value. When data is fed into an ML system, it searches for patterns and uses them for better decision-making. In most cases, ML makes it possible to incorporate multiple factors and correlations which impact demand into the retail forecasts. And, it is possible to enhance the accuracy of demand forecasting by optimizing the systems with POS data, NLP models, and recent data from external sources.

It has been seen that NLP models are often used to analyze social media and news, which in turn helps determine customer sentiment. Text mining and sentiment analysis enable retailers to closely monitor the comments which customers share on social media. This gives them an idea of what customers buy most often, their feedback on the product availability, and their changing preferences. With adequate samples of conversations which customers engage in, NLP models can predict goods which are running out of stock and need to be replenished. They can also detect slight changes in the purchase patterns, thereby improving the accuracy of demand forecasting.

Pricing Optimization
Besides demand forecasting, pricing is another area where ML comes of use. With the dramatic shift to online channels, the pricing strategy and competitive pricing have significant implications for retailers. Those who believe in setting prices based on conventional metrics may fall behind. Machine Learning algorithms can decipher unconventional relationships between multiple parameters which provide valuable insights and help set the optimal price. Specifically, ML helps retailers determine the price elasticity, ie the impact of a price change on a product’s demand. This capability plays a vital role in promotion forecasting and in optimizing markdown prices, especially when retailers need to clear out stocks. However, price elasticity alone might not capture the complete impact of a price change. The prices of alternate products within the same category often have a significant impact as well. Here advanced ML algorithms can be deployed and a product’s price position determined in a straightforward manner.

Supply chain management
Apart from forecasting the demand and determining the best price for a product and service, managing the supply chain effectively is equally crucial. Supply chains have always been vulnerable to natural disasters, disruptions and geopolitical issues. But the upheaval caused by the COVID-19 pandemic has been one of a kind. It has led businesses to take a close look at their supply chain management strategies, both for sustainability and growth. It has been seen that predicting the future demand for production remains one critical challenge in supply chain management. Here machine learning takes into account multiple factors which cannot be tracked through existing methods which retailers rely on. ML is used by businesses to conduct an in-depth analysis of individual customers and predict their future buying behavior. This helps tailor the production and transport processes to the actual demand, thereby enabling businesses to deliver value and build a relationship of trust with their customers.

On a concluding note
AI and specifically machine learning will impact almost every aspect of retail operating models. While traditional retailers have hesitated to wade into this technology, they cannot wait further. On the other hand, their forward-thinking counterparts who have already embarked on an AI-enabled future are more poised to gain an edge and leapfrog their competition. While there may not be a one-size-fits-all solution, the test-and-learn attitude will help them realize the full potential of emerging technologies.

Recalibrating Customer Experience in the New Normal

Dale Carnegie rightly put it when he said, “When dealing with people, remember you are not dealing with creatures of logic, but creatures of emotion.” These words of the famous American motivational speaker and writer have become even more significant now as businesses try and adapt to changing customer behavior with care and empathy. Within a very brief span of time, COVID-19 has gravely affected the lives and livelihoods of millions across the globe. And, this has led organizations to rethink the definition of customer engagement and service, prompting them to closely monitor customer satisfaction metrics to be able to address their needs accurately.

Understanding customer needs

According to a report by Oracle, 86% of buyers 1 are willing to pay more for a great customer experience. But one daunting question most businesses are faced with is how to approach customer experience (CX) differently in the new normal. Before they can create an engaging customer experience, the first step is to understand what matters most to customers – especially during this disruptive scenario. A Salesforce report suggests that 73% of customers 2 expect organizations to understand their needs and expectations. One of the best ways to gauge their requirements is to intimately understand them – know their persona well. Often, defining the target audience, delving into their demographic profiles and digital footprints can provide insights into their needs and wants.

Role of AI

Businesses are also fast embracing AI technologies such as machine learning to understand the customers accurately. The technologies are being used to gather and analyze historical, social, and behavioral data and gain a better understanding of the customers. AI which continuously improves from the data which it analyzes can accurately anticipate customer behavior. It delivers actionable and real-time customer insights which equip brands to create relevant and thoughtful content across touch points that not only resonate with customers but also improve the chances of sales opportunities and enhance the customer journey.

Need for differentiation 

While understanding the customer is important, equally crucial is to differentiate from the competition. If you want to stand out as a brand, you must personalize the customer experience. Close to 80% of customers 3 are more likely to make a purchase when businesses provide personalized experiences. AI helps brands to connect with customers at a more personal level by analyzing customer sentiment and feedback with precision which is not achievable by humans alone. It has also been seen that feedback-driven models foster higher engagement levels, loyalty, and retention.

Why strategize? 

However, before looking into AI, what brands need is a CX vision and a robust strategy. While laying down a well-thought-out strategy, brands need to factor in the role of safety and trust. The pandemic has brought forth consumers who are more thoughtful in their decision making and selective when with purchases. They are engaging with brands which demonstrate safety, convenience and trust in experience delivery. Most consumers trust a brand which is good at protecting the privacy of their personal information, delivers quality products and services at fair prices and engages with them in a meaningful way. This is leading forward-thinking brands towards process and business–model innovation at every point of interaction with customers.

Focus on efficiency

Along with this, well-performing brands are prioritizing efficiency. They have realized that to achieve a superior customer experience which is also sustainable; they need to focus on efficiency and convenience. After the onset of the pandemic, customers are no longer willing to understand and tolerate inconvenience despite their loyalty to a trusted company. Companies that opt for the efficiency path to win profitable customers have few factors in common. Most of these companies have access to the data they need and streamline workflows to align with customer journeys. This helps overcome organizational silos and eliminate the habitual repetitive tasks. Moreover, employees working with these brands are empowered to connect the dots between specific customer expectations and interactions. They are prompt in adopting technology to automate routine tasks and deliver consistent experiences across touch-points. Finally, these brands remain focused on supply chain innovation and optimization for seamless service delivery.

Adopting omni-channel strategies

In the wake of the pandemic, there is an increased need for omni-channel strategies. And one among them is to boost customer loyalty through several touch-points. By providing customers with multiple opportunities to connect, brands are driving positive customer experiences and loyalty. As consumer buying habits have changed, with a majority opting for online purchases and ordering in bulk, organizations need to foresee spikes in demand for which they are relying on technology. By investing in technology, they can expect improved inventory management and order routing along with gaining an in-depth knowledge of consumer behavior and preferences.

Omni-channel transformation is the need of the hour where touch-points are not treated in isolation but as part of seamless transitions when customers move from one channel to another. Customer experience journeys cannot be treated as linear but one where there are frequent shifts between traditional and digital channels, which can vary according to customer types and preferences. Understanding the customers’ digital behavior goes a long way in reducing the churn rate. Often the best approach is to promote automated tools and self-service touch-less technology for basic interaction with tech-savvy consumers and appoint highly skilled live agents to handle critical requests.

Final note

From the above discussion we can conclude that the power to differentiate, understand customer needs at a granular level, maintain a focus on efficiency and adopt omni channel strategies are the key factors which can drive an enhanced CX. And this investment in building relationships and delivering a superior experience can help brands to retain valuable customers in the long run. Over and above these, it is critical to understand and prepare for major changes as evolving consumer habits often necessitate a change in the CX strategy not just for sustainability but also for a competitive advantage— the importance of which cannot be overlooked in these uncertain times.

Digital Transformation in the Post-Pandemic Environment

Change has become imperative with the breakout of the pandemic, which has forced organizations to optimize operation and cost, leading them to rethink their digital transformation strategies. In fact, the pandemic has increased their budgets for digital transformation while breaking down previous inhibitors such as executive approval, legacy software, and the absence of clear strategies. Guided by the broader business strategy, organizations are fast turning to digital technologies to scale up or solve pressing business issues. And the role of technology is not just limited to merely driving marginal efficiency but rather is that of a catalyst which drives innovation and disruption.

On the road to Recovery

It would not be wrong to state that with the onset of the pandemic, digital transformation itself has been disrupted, owing to immediate actions required for crisis and change management. The present nature of the crisis has required teams to act promptly amidst uncertainty and take quick decisions with limited oversight. It has required them to react to fast-changing situations. Here digital transformation can help in a shift to agile decision-making enabling a transformation agenda and helping organizations to move forward despite the challenges posed by the pandemic.

While most organizations have come to terms with the new normal, they want to move forward despite the aftermath. This has led them to brainstorm on new ways to operate in these unusual times. But, at the same time neither do they have a playbook for this nor can they refer to proven case studies. Hence, they have to closely monitor their environment for change and test existing business practices and workflows to identify how digitalization would first help fuel stability, and then growth. They have realized that digitalization is the only way forward which will help address the changing business needs and empower them to make a shift from the “Respond” to the “Recovery” phase during the pandemic. This “Recovery” phase would further determine how well they would thrive in the near future.

The valuable role of AI 

In this environment, technology has clearly emerged as a winner. Post COVID-19, consumer behavior will not return to the pre-COVID norms that easily. Online purchases will increase and remote work models are here to stay. As the economies slowly start to reopen, artificial intelligence (AI) will play a needle-moving role in helping companies adapt to the current crisis. As they focus on business continuity plans a majority of companies are likely to deploy AI-enabled solutions to drive topline growth. With its unparalleled potential to discover emerging trends, AI can help hyper-personalize products and solutions, thereby improving customer engagement and sales. It can also contribute to the ideation process of creating new products and accelerate R&D initiatives. As the value creation mechanisms change fast, AI can prove crucial in enabling companies to seize the new opportunities which come their way.

Furthermore, recent findings from Gartner revealed that 74% of companies 1 plan a shift to remote work models post COVID-19. AI-based solutions free up the workforce from repetitive and mundane tasks, allowing them the time to invest in more creative work. During virtual meetings, AI tools increase collaboration and can automatically capture and present additional information such as web links, documents, and videos which not only save time and increase productivity but help employees become more productive. Often, we spend a lot of time scheduling meetings and in finding a suitable time for all attendees. Instead, one can easily use a bot which schedules meetings automatically based on the calendars of invitees, checking for their availability, role and expertise, deciding whether they need to be invited at all.

Tapping into the IoT potential

Besides the trends discussed above, disruptions caused by COVID-19 have reminded us how critical a working supply chain is. According to a recent survey, 75% of organizations in a selected sample experienced supply chain disruptions among which 39% reported severe impacts. This indicates that organizations must adopt a new strategy and here Internet of Things (IoT) could inspire relevant solutions. IoT-based solutions allow for supply chain diversification and real-time monitoring. Through virtualization, they help in creating digital twin models enabling virtual exploration of suppliers and accurate risk assessment.

It has been predicted that with the impact of the pandemic, the IoT market size will grow from USD 150 billion in 2019 to USD 243 billion by 2021 2 , at a CAGR of 13.7%. The critical factors behind this trend also include remote monitoring needs during work from home initiatives, smart payment technologies with minimized human contact, and the increasing demand for wearables.

Rethinking customer experience

Along with rapid transformation to the digital world, leaders also need to focus on successful customer experiences (CX). The way they communicate is becoming increasingly important as most consumers have cut down on spending and are trying products and services mostly out of necessity. Hence, customer experiences need to be frictionless, simple, and personalized. The real focus is on building trust on the foundations of empathy, which makes organizations a trusted advisor in the customer journey. In a recent study, 71% of the respondents 3 agreed that if a brand puts profit over people, they will not be able to trust the brand. Hence, establishing an emotional connection with customers becomes important. Amid this black swan event, both digitalization and CX need to move in tandem for a competitive and cost advantage.

Final thoughts

With the pandemic’s severe impact, companies’ resilience is being tested like never before. As the business landscape shifts towards uncertainty and volatility, organizations have to develop new capabilities and prioritize strategic initiatives where digital transformation will have a critical role to play. As they reimagine business for an ever-changing future—digital technologies, innovation, and CX will remain integral constituents of business continuity plans.

Use of AI and ML in the Fight against the Pandemic

Within a few months of COVID-19, the world has changed and we have been forced to look for solutions everywhere. As we grapple with the pandemic, harnessing the potential of technological advances brings us closer to the belief that we will overcome it. In this endeavor, artificial intelligence (AI) and machine learning (ML) have emerged as two key technologies which empower us to better understand and address the COVID-specific issues. Right from prediction to detection, screening, and diagnosing to inching closer towards a vaccine, these two technologies have a critical role to play.

Using ML to screen patients effectively

With every new pandemic, diagnosing individuals is a significant challenge. As tests are expensive at the beginning conducting them on a large scale is a near-impossible task. Any individual who develops symptoms of COVID-19 would be concerned that they have contracted the disease. Instead of taking medical samples from each patient and waiting for slow reports, a more affordable and faster ML-based test would always prove more useful.

Interestingly, a hospital in Florida was one of the first to use machine learning for a strong response to the virus. As patients enter the hospital an automatic face scan (which is based on ML) is conducted to detect whether they are running a fever. This piece of data plays a critical role in triaging patients. Additionally, ML-enabled bots help patients self-identify the next course of action once they are being detected with mild COVID-like symptoms. This saves doctors from spending excessive time on answering questions of worried patients instead of focusing on the treatment.

Detecting patients at high risk

Once a group of people is tested positive it becomes critical to detect patients at a higher risk of developing serious complications or in need of advanced medical care. While many develop symptoms which are mild others may develop acute respiratory distress syndrome (ARDS) or severe lung disease which needs immediate attention. In this context, significant inroads have been made in research and a forecast model has been proposed which depends on the XGBoost calculation (a machine learning algorithm). It helps detect the seriously sick and predict mortality risk. It takes into account three clinical pointers; lymphocytes, lactic dehydrogenase, and high affectability C-reactive protein, an imbalance in which leads to cell injury, compromised cell immunity, and inflammation, also indicative of pathophysiological progress of COVID-19.

Understanding the spread of the contagion

AI-based predictive modeling does not just help in identifying the infected individuals but also in gauging the severity and spread of the pandemic. Early warning systems which are AI-based mine mainstream news, information in other channels, and online content in multiple languages to detect epidemiological patterns which also complement other healthcare networks and syndromic surveillance. A majority of the countries worldwide have opted for contract tracing systems to ascertain the infection routes by using geo-location data to identify individuals who are coming in close contact with the virus carriers. Immediately, text messages are sent as alerts directing them to self-isolate.  

Towards a vaccine

AI has played a critical role in the race to discover a vaccine. By understanding viral protein structures, the technology has suggested probable components of the vaccine. It has also helped medical researchers to scour thousands of literature at an unprecedented pace and arrive at conclusions. As the scientific literature related to COVID continues to grow scientists find it challenging to shortlist papers that are relevant to their specific research. A reputed institute which conducts high-impact research created freely available data sets that are machine readable. This enabled researchers to create and apply NLP algorithms, which would accelerate the process of discovering a vaccine. By connecting the dots between studies, AI makes it possible to identify a hypothesis and subsequently suggests experiments.

Holding on to hope

While modern technologies have helped us so far in this intense battle against the pandemic, we hope that it would continue to assist us in achieving new victories and see to the end of this unfortunate situation. It would not be wrong to assume that the possibility of combining ML, AI, and other convergence points of sectors such as healthcare and life sciences presents a brilliant opportunity for new drug discovery. And, as we leverage this opportunity, we will only stand to gain.