The technology is overpowering the traditional business models, and each sector is gradually going the digital way to meet the evolving customer expectations. Life insurance is a sector that is still in the nascent stages of digitization due to the amount of complexity and sensitivity it involves. Insurance startups are hell-bent on leveraging the new technologies to remodel the design and delivery of the life insurance.

Insurance startups are making use of analytic and digital tools to develop life insurance products that are flexible and fast to deliver. The goal of these InsurTech innovations is to decrease the total time for the application process and create a comfortable setting for the customers. The key to implementation of these innovations is that they should be compliant with the insurance law and regulations.

The InsurTech innovations for life insurance will include:

1. RPA and AI for core processes:

The automation of core processes is essential as it helps to speed up the processing of the policies and servicing customer requests. RPA (Robotic process automation) and AI work together to process the structured and unstructured data respectively. AI backed Insurance chatbots can help the consumers to chat and converse with their providers and get solutions to their queries immediately. InsurTech as a service need to handle large volumes of data obtained from connected devices like the social media and other resources which can be easily done through automation. As there is a lot of paperwork involved with life insurance policies, automation is a great way to avoid human errors and save some time.

2. Smart contracts:

Blockchain has deeply impacted the technology sector and the blockchain based smart contracts are a game changer in automating the life insurance policy claims. It works on the concept of the decentralized ledger where each customer has a copy of the ledger, and he can commit to a transaction independently. The smart contract can be processed automatically based on a set of pre-defined conditions. It is a great way to enhance the operational efficiency and process the claims quickly.

3. Predictive analysis:

Predictive analysis plays an important role to analyze the needs of the current as well as future customers. Life insurance companies can make use of the actionable analysis to find the past as well as the real-time trends and accordingly plan out their strategy. It helps to design personalized offerings based on the inputs from the customers. InsurTech consulting services need this information for providing meaning consultancy to their customers.

4. Advanced analytics for fraud prevention:

The reports suggest that insurance companies suffer losses of at least 3% due to fraudulent activities. So, the insurance companies are determined to leverage the benefits of advanced analytics that is backed by AI for a more trusted, reliable and transparent environment with their customers. The customer data from various resources like mobile devices, social media channels are analyzed and monitored continuously for any behavioral patterns anomaly.

5. Cloud technology:

Life insurers are also leveraging the capabilities of the cloud for it is capable of handling huge volumes of data from varying sources like the wearables or the social media channels or any other electronic devices. The cloud is also beneficial when it comes to saving IT deployment costs due to the inflexibility of IT infrastructure, in cases of underuse and under capacity.

Technical innovation in the field of life insurance has just started to evolve. The above-mentioned technical aspects will form the foundation of InsurTech innovation and will even go far beyond it in the coming future. We can wait and see how it will transform the life insurance sector in the near future.

Know the Mantra Labs capabilities in InsurTech and reach out to us for any query.

References:

https://www.jdsupra.com/legalnews/insurtech-innovations-in-life-insurance-69458/

https://www.capgemini.com/wp-content/uploads/2017/12/life-insurance-top10-trends-2018.pdf

https://www.capgemini.com/2018/06/insurtech-opens-new-life-insurance-frontiers/

Smart Machines & Smarter Humans: AI in the Manufacturing Industry

By : Sampada S M

Published on Feb 19, 2025

AI Artificial Intelligence Manufacturing

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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