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Everything-as-a-Service

We are now living in the age of hyper-convenience, and the market for convenience (as-a-service) is soaring. For the better half of the last ten years, we have swiftly passed into the ‘as-a-service’ economy. The globalization of labour, highly disruptive business models and rapid consumerization have made the transition nearly inevitable. 

The heightened experience of ‘utility’ extends to both consumers and even businesses. From hailing a taxi or buying groceries to quick entertainment and daily productivity tools, everything is/can be made available as-a-service. So how did XaaS get to this point? — where it’s now the preferred operating model of choice for delivering any IT function as a service for consumption.

The ‘as-a-service’ concept is universally understood to be an analogue of cloud computing. It is predicted to be valued at nearly $344B by 2024, growing at 24% over the next five years.

The approach has been around since the ‘60s when SaaS quickly replaced the older ASP (Application System Provider) model. The real reason the ASP model failed? It wasn’t scalable. Gone are the days of buying licensed software products and lengthy on-site installation processes. In contrast, with SaaS, enterprises can buy and pay for what they use. By taking advantage of virtualization and cloud-based scalability — users access the same code base, while their data and customized interfaces are kept separate.


Towards the close of the millennium, Salesforce built the very first complete SaaS product, which is still today — one of the World’s most widely used customer relationship management (CRM) tools. 

Over the next ten years, SaaS quickly decentralized into Desktop; Data; Network; Security; Infrastructure; and Platform-as-a-service. Today, any core business function can be delivered through this model, such as Marketing, Banking, Healthcare, Appliances and Gaming among many others. 

Consumers, in the meantime, have become increasingly familiar with ‘use without ownership’ type of products including movies-as-a-service (Netflix, Hulu); communication-as-a-service (Whatsapp, Snapchat)

While companies like Uber & Grab have leveraged ‘service-as-a-product’ effectively — shifting the balance from car ownership to transportation-as-a-service; others like Joule have moved towards outcome-based pricing where users can subscribe to cars without any time limit.

The essence of XaaS is simply delivering a service over the Internet, rather than on-site. The most efficient way to do this is through the cloud. Being more cheaper and efficient, the cloud services model witnessed mainstream adoption only within the last decade. The real advantage stays the ability for companies to wholly deliver a one-click operation for the end-user. 

Tesla has already disrupted the automobile industry with its radical as-a-service concept: upgrade your car (software) for free, for life! Tesla is also planning to shift to pay-as-you-use models including autonomously renting out your car when you are on holiday. 

Consumers easily get behind this technology because it reduces any ownership risk and encourages more users to try these services at affordable and competitive pricing. This is how and why we have pizza-as-a-service today! Hence XaaS. 

How does XaaS help your business?

There are currently over 5.6 million professional and creative services companies in operation around the world. Technology is constantly evolving the state of how we do business, and the operating models we use today will have to adapt to innovations that disrupt tomorrow.

The Real Impact of XaaS

  1. The Cloud has moved beyond the “hype” realm into a digital must-have for any enterprise. Regardless of the size of the business, the cloud is your best bet for maximum scalability and mobility.

  2. One-to-many is now a customizable relationship, thanks to XaaS models that help you deploy services with precision and speed.

  3. Agile enablement calls for being nimble across software delivery. Create business value through incremental, sustainable, and measurable agility.

  4. Plug and Play allows for maximizing combined services, greater efficiency gains, and uptime — giving your business the autonomy to use services as and when you need.

  5. Resource & Cost-lax operations reduce major overheads by 3-5X by leveraging the right consumption-based models.

The move away from legacy business mechanisms, ties to the resource-intensive effort of shifting from selling products to selling capabilities. If the front office and back office aren’t aligned, the business will struggle to move forward.

Enterprises are increasingly looking to achieve results through as-a-service models—using hybrid delivery—that can be explicitly configured to deliver critical business outcomes in a short turnaround time. 

Talk to us today to learn how we are helping enterprises operate successfully in the digital world. Drop us a line here hello@mantralabsglobal.com   

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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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