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Smart Devices for Smarter Insurance

With the advent of AI and cognitive automation at a rapid pace, there has been a holistic approach to insurance automation. Automation and IoT are already a reality for insurance. As per reports, AI in insurance reduces premium costs up to 25% while automation can help cut the claim processing cost by 30%.

Innovation and technology are the next frontiers in insurance. As many insurers have set out on a journey of smart insurance it has expanded their reach into more ecosystems than ever before.

The DriveSmart Service by Bajaj Allianz- a car insurance company, is an implementation of IOT in insurance. The service monitors the car through a vehicle tracking device and provides relevant diagnostics data of the car driving performance. The data derived not only helps in insurance claims but also aims at safer driving and lowered fuel costs.

The Global wearable fitness tracker (Fitbit) market was valued at $17,807 million in 2017 and is expected to increase at a CAGR of 19.2% by 2023 to value at $62,124 million. Fitbit for insurance marks the beginning of the revolution in the healthcare insurance industry. Several other such intelligent medical devices are underway to follow up.

Changes in the demographics, technology and business models have opened up a plethora of opportunities for the insurance industry. Let us have a look at some of the smart devices that are contributing to smarter insurances.

 

  • Liberty Mutual: Liberty mutual is in partnership with Google’s nest to install smoke alarms in the house. It reduces the risk of fire and at the same time offers lesser premiums. It is an excellent example of IOT in insurance where insurers are taking help of smart devices to design their premium plans. Such insurance not just gauges the loss but at the same time acts as a precautionary measure to prevent the damage.

 

  • Erie Insurance: The big dream of using drones for property inspection was realized by Erie insurance. They claim to be the first in the market to take the permission of the Federal Aviation Administration (FAA) to use drones for commercial purposes.

Reports suggest that each year 377 million workers are injured during their work hours and real-time data can be helpful to create better safety guidelines and assess risk.

Drones are of great help when it comes to inspection of endangered areas where human reach is troublesome and risky. They not only help with faster claims processing but also in risk assessment.

  • Beam Dental: A dental insurance company that provides customers with a smart toothbrush to assess their oral health. Based on this information they craft their dental insurance premium plans.

 

  • Oscar: A health insurance company that has partnered with Misfit and is providing its customer with a Misfit flash tracker to help them get fit. Each customer receives a $20 Amazon credit if they can achieve their present goals.

Insurance is at its highest levels of penetration of 3.49%, with revenues from premiums expected to touch US$280 B by FY2020. The opportunities are clear for the emerging market. Mantra Labs is an AI First InsurTech Products and Solutions Firm working with the largest Insurance companies in India & the World.  We help in tapping the potential of the existing workforce and combining it with the emerging smart technology, to leverage the smart insurance industry.

https://www.bajajallianz.com/Corp/motor-insurance/drivesmart.jsp

10 real-life examples of IoT in insurance

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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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