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Latest Trends in Insurance Technology

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Today, the insurance industry is at a digital transformative phase to enhance the business models. There are few key areas we can expect insurers to embrace as they seek to create more automated, user-friendly processes in Insurance sector.

Use of automations and artificial intelligence  

Insurance industry is shifting towards exploring automation of more complex and risky processes rather using of traditional method, which is less effective in case of time and accuracy. Using of emerging technologies like Artificial Intelligence and Machine learning provide the scope of intelligent automation for analysis of huge amount of data generated by IoT and smart wearables devices. These Analysis and cross checking of data help understanding the better customer insights, fraud detections, claims verification and processing.

With the more refined automated technologies and capability of analysing more data, insurance companies like AIG started employing smart drone for automated property assessment and claims processing, which not only helps in accurate assessment but reduces the operational cost also.

Redefining of Insurance distributions

For better user experience, insurers have already generalized the new channel of distribution such as online research, comparison platforms and chatbot for better interaction and understanding, which already impacted in the market of personal insurances. The new direct distribution channels and online comparison platform for direct small insurances are likely to be more effective in coming days.

Companies like Allstate is already allowing small business owner to buy policies in just five minutes, or P2P platform like Gather giving the opportunity to small business owner to self insure and coverage is offered through a captive which is owned by the businesses it insures.Thus offering greater transparency and reducing cost in policies for these type of enterprise.

Insurance through value chain disaggregation

As the market is growing, the specialization in sectors is becoming more popular. As insurers move into advanced and extreme digital stages there is more use of data, automation, connectivity, ecosystem integration, new development methodologies, and a smarter use of IT resources. Some of these companies are providing customer interface with a unique value propositions, some companies provides tools for specialized software solutions for the insurers.

Companies like PolicyBazar provides insurance comparison and gives customized suggestions and recommendations based on the customer needs and choices, using their artificial intelligence.

Data analytics to improve profitability and better customer experience

The exponentially greater data availability and better analytical capability of softwares provide the base of making decision. Cross checking and analysing on the large amount of data coming from various unstructured resources such as social media real time data through various connected devices, helps in better risk management to drive greater profitability as well as better customer experience. Applying a combination of techniques such as predictive modeling, text mining, databases searches and exception reporting, insures are able to understand better customer insight, fraud analytics which help them in making insight driven strategies and risk mitigation strategies.

Sensors, Detectors, and Telematics  for building data

IoT or internet of things refers to the physical objects that are embedded with sensors, which gather information about specific objects and transmit it. These transmitted data are then analyzed as discussed earlier.

In insurances, using of IoT technologies is becoming more popular. In case of home insurances, smart homes is one of the fastest growing segment. Insurances companies are giving more discount on policies for an internet connected Home/Smart home.

Various wearable devices are also in demand as it enables life and health insurers to better engage with customers while obtaining real time insight into risk. Aditya Birla Health  Insurance is offering their policyholders health benefits and rewards for connecting their approved apps and wearable devices to their health app so they can track one’s activity.

Property and casualty insurance companies like AIG , are going to use smart drone for better property assessment.

Blockchain Technology for fraud detection

In coming days Distributed Ledger Technology(DLT) or Blockchain Technology is going to be leveraged across all sector including Insurance for its revolutionary way of sending, receiving and storing information in a secure and decentralized way. Using of Blockchain technology in insurance will improve the quality of service, increase in the volume of data from new data sources, automate claims, also will reduce the operational costs. It has the potential to ease out fraud detection and risk prevention as per a report from EY.

Once insurance and blockchain technology are interconnected, key business process like policy management and claims management are likely to transformed and new business model are expected to emerge using Blockchain.

Augmented Reality/Virtual Reality in Insurance

Though Augmented Reality is leveraged by many other sectors, like in social media or in gaming and other sectors, insurance sector still is limited to areas like marketing or training by simplifying complex explanations, meant for customers and employees. 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?

There are big challenges ahead for insurers. With more changing technologies, executives will need to carefully consider the opportunities.

 

 

 

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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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