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INSURTECH – Inspiring People and Offering Opportunities

While InsurTech offers benefits via process efficiencies, cost reductions, or radical changes to the customer, it was under the late adoption category when compared to other financial industry sectors, as per a report from Deloitte.

Figuring the current state of InsurTech, it is found by Accenture that InsurTech deals in the USA are still the highest with $1.24bn worth of deals. However, the number of insurtech deals in Europe grew 118%, while the value of deals in 2017 was $679m, 385% more than in 2016. Another report highlights that the UK is Europe’s largest insurtech hub, with 41 deals in 2017.

On the other hand, Insurtech in India is picking up the pace via its integration with modern technologies like Artificial Intelligence[AI], Machine Learning [ML]and the Internet of Things [ IoT].

So what were the factors that inspired Insurance companies to handshake with the advanced technologies? Or what were the dimensions in insurtech that encouraged people? Let’s have a look –
OPPORTUNITIES’ THAT INSPIRES INSURTECH

INNOVATION TO HELP MULTI-LAYERED STRUCTURE

Insurance is a multi-layer process, be it vehicle insurance that involves the owner, insurance firm and the vehicle seller or health insurance that requires patient, hospital and the insurance firm. The story could get a bit more complicated when coverage is provided via an employer, adding another layer of interaction.
Could disintermediation of the layers make it easy for customers to avail insurance? Well, yes a robust platform strategy is all you need. Just, for example, you may be approaching a corporate client to sell your health insurance policy; if some of the employees are using a type of health tracker device, it would be better to have a base of standard APIs and interface where all interface could connect and communicate.
Or picking another example, when your vehicle meets an accident, your smartphone could record and upload the photos on the integrated platform offered by the insurance firm and claim processing could be pushed.

MATCHING THE NEED FOR CUSTOMERS

The internet generation is keen to buy things in untraditional ways, while earlier government job was the norm, millennials are eager to own their business. To serve such a customer base, insurtech has been on their toes and offering customized insurance policies that may last for a trip or even for hours commonly known as Microinsurance. The ability to turn on and off your insurance policy is another creative way that has inspired people to buy insurance.

REVOLUTION TO CUSTOMIZE PRICING

Gone are the days when a full traditional policy was the norm and customers had no other option but to buy it. The customer is now attracted to innovative pricing models offered by insurtech firms. While the customer is planning his vacation via air, insurtech based on the data gathered could provide a customized 2-day or 5-day insurance cover. Or how about accessing the assets at home and providing insurance against burglary for your vacation time? Well, these revolutionary pricing model are helping insurtech to catch customer behaviour and allowing them to make fast claim processing via different tools.

IMPROVEMENTS WITH TECHNOLOGY

Integration with technologies like Blockchain, AI, and IoTs is helping people to avail enhanced services and operational development. While combination with Blockchain will help in building a higher level of trust, it also has the potential to offer new products. Pairing with IoTs would assist in gathering data and avoiding fraud claims. On the other hand, AI could help in automation of the age-old processes and documentation thereby streamlining the procedures.

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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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