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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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Why Netflix Broke Itself: Was It Success Rewritten Through Platform Engineering?

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Let’s take a trip back in time—2008. Netflix was nothing like the media juggernaut it is today. Back then, they were a DVD-rental-by-mail service trying to go digital. But here’s the kicker: they hit a major pitfall. The internet was booming, and people were binge-watching shows like never before, but Netflix’s infrastructure couldn’t handle the load. Their single, massive system—what techies call a “monolith”—was creaking under pressure. Slow load times and buffering wheels plagued the experience, a nightmare for any platform or app development company trying to scale

That’s when Netflix decided to do something wild—they broke their monolith into smaller pieces. It was microservices, the tech equivalent of turning one giant pizza into bite-sized slices. Instead of one colossal system doing everything from streaming to recommendations, each piece of Netflix’s architecture became a specialist—one service handled streaming, another handled recommendations, another managed user data, and so on.

But microservices alone weren’t enough. What if one slice of pizza burns? Would the rest of the meal be ruined? Netflix wasn’t about to let a burnt crust take down the whole operation. That’s when they introduced the Circuit Breaker Pattern—just like a home electrical circuit that prevents a total blackout when one fuse blows. Their famous Hystrix tool allowed services to fail without taking down the entire platform. 

Fast-forward to today: Netflix isn’t just serving you movie marathons, it’s a digital powerhouse, an icon in platform engineering; it’s deploying new code thousands of times per day without breaking a sweat. They handle 208 million subscribers streaming over 1 billion hours of content every week. Trends in Platform engineering transformed Netflix into an application dev platform with self-service capabilities, supporting app developers and fostering a culture of continuous deployment.

Did Netflix bring order to chaos?

Netflix didn’t just solve its own problem. They blazed the trail for a movement: platform engineering. Now, every company wants a piece of that action. What Netflix did was essentially build an internal platform that developers could innovate without dealing with infrastructure headaches, a dream scenario for any application developer or app development company seeking seamless workflows.

And it’s not just for the big players like Netflix anymore. Across industries, companies are using platform engineering to create Internal Developer Platforms (IDPs)—one-stop shops for mobile application developers to create, test, and deploy apps without waiting on traditional IT. According to Gartner, 80% of organizations will adopt platform engineering by 2025 because it makes everything faster and more efficient, a game-changer for any mobile app developer or development software firm.

All anybody has to do is to make sure the tools are actually connected and working together. To make the most of it. That’s where modern trends like self-service platforms and composable architectures come in. You build, you scale, you innovate.achieving what mobile app dev and web-based development needs And all without breaking a sweat.

Source: getport.io

Is Mantra Labs Redefining Platform Engineering?

We didn’t just learn from Netflix’s playbook; we’re writing our own chapters in platform engineering. One example of this? Our work with one of India’s leading private-sector general insurance companies.

Their existing DevOps system was like Netflix’s old monolith: complex, clunky, and slowing them down. Multiple teams, diverse workflows, and a lack of standardization were crippling their ability to innovate. Worse yet, they were stuck in a ticket-driven approach, which led to reactive fixes rather than proactive growth. Observability gaps meant they were often solving the wrong problems, without any real insight into what was happening under the hood.

That’s where Mantra Labs stepped in. Mantra Labs brought in the pillars of platform engineering:

Standardization: We unified their workflows, creating a single source of truth for teams across the board.

Customization:  Our tailored platform engineering approach addressed the unique demands of their various application development teams.

Traceability: With better observability tools, they could now track their workflows, giving them real-time insights into system health and potential bottlenecks—an essential feature for web and app development and agile software development.

We didn’t just slap a band-aid on the problem; we overhauled their entire infrastructure. By centralizing infrastructure management and removing the ticket-driven chaos, we gave them a self-service platform—where teams could deploy new code without waiting in line. The results? Faster workflows, better adoption of tools, and an infrastructure ready for future growth.

But we didn’t stop there. We solved the critical observability gaps—providing real-time data that helped the insurance giant avoid potential pitfalls before they happened. With our approach, they no longer had to “hope” that things would go right. They could see it happening in real-time which is a major advantage in cross-platform mobile application development and cloud-based web hosting.

The Future of Platform Engineering: What’s Next?

As we look forward, platform engineering will continue to drive innovation, enabling companies to build scalable, resilient systems that adapt to future challenges—whether it’s AI-driven automation or self-healing platforms.

If you’re ready to make the leap into platform engineering, Mantra Labs is here to guide you. Whether you’re aiming for smoother workflows, enhanced observability, or scalable infrastructure, we’ve got the tools and expertise to get you there.

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