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InsurTech: Present and Future of Insurance Technology

Insurers need to spin the technology that offers their customers with more efficient, optimized and relevant policies. The ones that could be customized could be fed with data from a wearable/mobile device or the ones that are applicable for just an hour. With such customer focus initiatives, they yet need to achieve core business objectives like price and operational efficiency and compliance to stringent regulations. Could the Insurtech meet up the expectations? Could technology lend a helping hand? Let’s explore how the insurance vertical is evolving with the latest technology and what its future is –

The Present of InsurTech

The insurance firms are under immense pressure of reorganizing their house – customized policies, risk mitigation strategies, real-time analytics, instant claim settlement, sensors, drones and augmented reality (AR) apps are playing a significant role. So, what are the technologies adopted by the firms? Let’s take a closer look –

Robo-Advisory Services

Robo-Advisors have seen a broad adoption across insurance sectors. Unlike olden days when hiring a financial advisor was a dream for many individuals, with Robo-advisors people of the low-income group could use DIY advisory for their financial portfolio. Should you opt for all critical disease cover or only a few? Should buying an integrated policy be beneficial or an individual one is some of the questions that could be answered via Robo-Advisory Services.

Policies via Sensors, Detectors, and Telematics

Sensors, Detectors connected via the internet could send early signals of smoke/radiations to the rescue services, helping in minimizing the damages. Also, Telematics like monitoring automobile speed, the behavior of a rash driver could assist in making a clear judgment of claim policies for individuals and insurance firm. Hence while IoTs and interconnected network could be a boom in offering customized policies, these minuscule are taking insurance services to the next step.

The Future of InsurTech

Could technologies like Blockchain, Augmented Reality, Virtual Reality change the world sees insurance sector? Would they bring in the exotic flavors of policies? Only time can tell, for now, let’s explore how these technologies could be handy in insurance sector?

Blockchain

A distributed ledger technology has the potential to ease out fraud detection and risk prevention as per a report from EY. The report also highlights that blockchain is efficient in establishing transparent and customer focussed claims building trust and loyalty for the insurance firms.

Augmented or Virtual Reality

Just imagine driving in stormy weather, an AR app helps you define the road/lane border so that you do not bombard a tree or a car in your parallel path. Or how about a 3D modeling and simulations help customers in making insurance claims easier and faster? Or how about before you go for the home insurance a simulation helps you pinpoint all the areas under insurance rather than reading the lengthy document? It all is a possibility with AR and VR technologies.

With the evolution of technologies, the secret is to be adaptable to change. @Mantra Labs we believe in this, and hence one of our esteemed clients Religare is using our InsurTech solutions in Post-sale, pre-claim, post-claim and renewal processes. It helps in providing customers with transparent and intuitive services that is robust and secured for businesses. A win-win for all.

Reference Links:

https://assets.kpmg.com/content/dam/kpmg/xx/pdf/2016/10/how-augmented-and-virtual-reality-changing-insurance-landscape.pdf

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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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