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Cloud Computing Is Reshaping Digital Businesses during Pandemics

6 minutes read

In an ever-changing business climate, especially amid the COVID-19 pandemic waves, it’s imperative for small and medium business owners to be able to access data as and when they need it, regardless of the device they’re on or their physical location. 

Accenture reports that “2020 has been a pivotal year for the cloud as it played a lead role in facilitating remote work solutions. It allowed organizations to fuse existing organizational processes with novel cloud technologies to allow for greater flexibility during these uncertain times. COVID-19 has facilitated a focus on cloud capabilities as companies compete to thrive in this new remote work environment. The cloud has become an essential part of continuing business and is the key to unlocking organizational growth. Worldwide spending on public cloud services is even forecast to grow 18.4 percent in 2021.” 

According to a NASSCOM report, the Indian cloud computing market is currently valued at $2.2 billion with projected growth at 30 percent YOY, expected to reach $7.1 billion by 2022. 

Predictions for cloud computing revenues to 2021 from 451 Research.

A Forrester report titled, Predictions 2021: Cloud Computing Powers Pandemic Recovery, on the other hand, says that “In 2021, cloud will power how companies adapt to the “new, unstable normal.” No one knows how far into 2021 we’ll continue to work from home, shop primarily online, or avoid air travel — but it’s clear that every enterprise must become more agile, responsive, and adaptive than ever before.” 

Source: Forrester.com

With this pandemic and its subsequent lockdown-led change in landscape, businesses are trying to venture out and combine services and technology namely IoT services, Big Data, and cloud computing. According to Financial Express, “cloud computing will play the role of a common workplace for IoT, the source of data and big data as a technology is the analytic platform of the data.”  

Cloud computing has been in use for approximately two decades now, with few early adopters of this technology, however, a large number of businesses continue to operate without it even today. According to a study conducted by the International Data Group, “69% of businesses are already using cloud technology in one capacity or another, and 18% say they plan to implement cloud computing solutions at some point.” 

A Verizon study also showed that 77% of businesses feel cloud technology gives them a competitive advantage, and 16% believe this is a significant advantage. 

Why should small businesses consider cloud computing? 

Network downtime costs more than $10,000 an hour, according to CloudRadar. For most small businesses, investing in robust data recovery would be an ideal yet imperative choice to implement in their regular processes. Due to the scale and expertise of cloud-based services, quick data recovery is also possible for all kinds of data disasters, including being able to remotely wipe data from a lost device. 

CIOinsight.com reported that “Cloud computing, the offloading of company data functions to offsite cloud providers, has been hailed as the tool that enabled the decentralization of business during the COVID economy. It’s also become utterly mainstream in business, with Cisco reporting that 92 percent of data workloads were handled in 2020 by cloud computing. The same report also showed that the United States led the globe in cloud computing workloads.”

As cloud systems have increasingly matured over time, it’s also given way to a consensus on a mixed approach – both public and private – to cloud service-based environments to meet the needs of enterprises. To overcome the challenges posed by either public and private cloud computing services, namely, data security, flexibility, and performance, 82% of enterprises have now taken a hybrid approach to their cloud infrastructure, as per Flexara’s 2021 State of the Cloud report.

Research firm MarketsandMarkets has estimated that the hybrid cloud market will be worth $97 billion by 2023 banking on characteristics such as scalability, cost-efficiency, security, and agility. 

Amazon Web Services (AWS) said that amid the COVID-19 pandemic, there was an evident acceleration in cloud computing adoption and consumer behavior wrt cloud in the country. Mantra Labs, while working with Manipal Hospitals, offered solutions around Server Setup & Deployment; Cloud Monitoring; Database Setup; Load Balancing; and Network Security & Monitoring. These helped with 66% improvement in application performance; 57% reduction in code deployment time; 2x more ROI from continuous delivery. 

Cloud computing is also promoting sustainable practices across organizations given the current state of the environment. Hosting on the cloud is environmentally friendly and results in a lesser carbon footprint.

Cloud-based infrastructures support environmental proactivity; virtual services instead of physical products and hardware; lesser paper waste; optimized energy efficiency; easy work-from-home access and collaboration. 

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Smart Machines & Smarter Humans: AI in the Manufacturing Industry

We have all witnessed Industrial Revolutions reshape manufacturing, not just once, but multiple times throughout history. Yet perhaps “revolution” isn’t quite the right word. These were transitions, careful orchestrations of human adaptation, and technological advancement. From hand production to machine tools, from steam power to assembly lines, each transition proved something remarkable: as machines evolved, human capabilities expanded rather than diminished.

Take the First Industrial Revolution, where the shift from manual production to machinery didn’t replace craftsmen, it transformed them into skilled machine operators. The steam engine didn’t eliminate jobs; it created entirely new categories of work. When chemical manufacturing processes emerged, they didn’t displace workers; they birthed manufacturing job roles. With each advancement, the workforce didn’t shrink—it evolved, adapted, and ultimately thrived.

Today, we’re witnessing another manufacturing transformation on factory floors worldwide. But unlike the mechanical transformations of the past, this one is digital, driven by artificial intelligence(AI) working alongside human expertise. Just as our predecessors didn’t simply survive the mechanical revolution but mastered it, today’s workforce isn’t being replaced by AI in manufacturing,  they’re becoming AI conductors, orchestrating a symphony of smart machines, industrial IoT (IIoT), and intelligent automation that amplify human productivity in ways the steam engine’s inventors could never have imagined.

Let’s explore how this new breed of human-AI collaboration is reshaping manufacturing, making work not just smarter, but fundamentally more human. 

Tools and Techniques Enhancing Workforce Productivity

1. Augmented Reality: Bringing Instructions to Life

AI-powered augmented reality (AR) is revolutionizing assembly lines, equipment, and maintenance on factory floors. Imagine a technician troubleshooting complex machinery while wearing AR glasses that overlay real-time instructions. Microsoft HoloLens merges physical environments with AI-driven digital overlays, providing immersive step-by-step guidance. Meanwhile, PTC Vuforia’s AR solutions offer comprehensive real-time guidance and expert support by visualizing machine components and manufacturing processes. Ford’s AI-driven AR applications of HoloLens have cut design errors and improved assembly efficiency, making smart manufacturing more precise and faster.

2. Vision-Based Quality Control: Flawless Production Lines

Identifying minute defects on fast-moving production lines is nearly impossible for the human eye, but AI-driven computer vision systems are revolutionizing quality control in manufacturing. Landing AI customizes AI defect detection models to identify irregularities unique to a factory’s production environment, while Cognex’s high-speed image recognition solutions achieve up to 99.9% defect detection accuracy. With these AI-powered quality control tools, manufacturers have reduced inspection time by 70%, improving the overall product quality without halting production lines.

3. Digital Twins: Simulating the Factory in Real Time

Digital twins—virtual replicas of physical assets are transforming real-time monitoring and operational efficiency. Siemens MindSphere provides a cloud-based AI platform that connects factory equipment for real-time data analytics and actionable insights. GE Digital’s Predix enables predictive maintenance by simulating different scenarios to identify potential failures before they happen. By leveraging AI-driven digital twins, industries have reported a 20% reduction in downtime, with the global digital twin market projected to grow at a CAGR of 61.3% by 2028

4. Human-Machine Interfaces: Intuitive Control Panels

Traditional control panels are being replaced by intuitive AI-powered human-machine interfaces (HMIs) which simplify machine operations and predictive maintenance. Rockwell Automation’s FactoryTalk uses AI analytics to provide real-time performance analytics, allowing operators to anticipate machine malfunctions and optimize operations. Schneider Electric’s EcoStruxure incorporates predictive analytics to simplify maintenance schedules and improve decision-making.

5. Generative AI: Crafting Smarter Factory Layouts

Generative AI is transforming factory layout planning by turning it into a data-driven process. Autodesk Fusion 360 Generative Design evaluates thousands of layout configurations to determine the best possible arrangement based on production constraints. This allows manufacturers to visualize and select the most efficient setup, which has led to a 40% improvement in space utilization and a 25% reduction in material waste. By simulating layouts, manufacturers can boost productivity, efficiency and worker safety.

6. Wearable AI Devices: Hands-Free Assistance

Wearable AI devices are becoming essential tools for enhancing worker safety and efficiency on the factory floor. DAQRI smart helmets provide workers with real-time information and alerts, while RealWear HMT-1 offers voice-controlled access to data and maintenance instructions. These AI-integrated wearable devices are transforming the way workers interact with machinery, boosting productivity by 20% and reducing machine downtime by 25%.

7. Conversational AI: Simplifying Operations with Voice Commands

Conversational AI is simplifying factory operations with natural language processing (NLP), allowing workers to request updates, check machine status, and adjust schedules using voice commands. IBM Watson Assistant and AWS AI services make these interactions seamless by providing real-time insights. Factories have seen a reduction in response time for operational queries thanks to these tools, with IBM Watson helping streamline machine monitoring and decision-making processes.

Conclusion: The Future of Manufacturing Is Here

Every industrial revolution has sparked the same fear, machines will take over. But history tells a different story. With every technological leap, humans haven’t been replaced; they’ve adapted, evolved, and found new ways to work smarter. AI is no different. It’s not here to take over; it’s here to assist, making factories faster, safer, and more productive than ever.

From AR-powered guidance to AI-driven quality control, the factory floor is no longer just about machinery, it’s about collaboration between human expertise and intelligent systems. And at Mantra Labs, we’re diving deep into this transformation, helping businesses unlock the true potential of AI in manufacturing.

Want to see how AI-powered Augmented Reality is revolutionizing the manufacturing industry? Stay tuned for our next blog, where we’ll explore how AI in AR is reshaping assembly, troubleshooting, and worker training—one digital overlay at a time.

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