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Strategic Technology Trends in Insurance

3 minutes, 47 seconds. read

“Strategic technology trend is one with substantial disruptive potential, that is beginning to break out of an emerging state into broader impact and use, or which are rapidly growing trends with a high degree of volatility reaching tipping points over the next five years”, says Gartner.

These technology trends shall enable insurers to expand into more ecosystems than ever before. Let us explore such strategic technology trends, which will impact the insurers in the near future.

1. AI & RPA helps insurance find a digital edge:

AI and RPA are already a reality for insurance. AI has found its way into vehicles, homes, and businesses and in the Insurance industry as well, it solves the necessary day-to-day tasks of running a business by the automation of routine patterns. It is able to tailor solutions for individual customers and replace the one-size-fits-all products currently available.AI in insurance will allow carriers to deliver scalable and customized solutions for members and policyholders,” says Ramon Lopez, Vice President of Property & Casualty Claims and Innovation at USAA.

RPA tools currently occupy the Peak of Inflated Expectations in the Gartner Hype Cycle for Artificial Intelligence, 2018. RPA is widely adopted in various industries, insurance included. “End-user organizations adopt RPA technology as a quick and easy fix to automate manual tasks,” said Cathy Tornbohm, vice president at Gartner. In the insurance industry automation of the day-to-day tasks would potentially reduce cost, time consumption and increase accuracy, quality and competency.

2. Augmented Analytics- future of data analytics:

One of the latest advancements for business development tools is the advent of augmented analytics. As per a report from Deloitte “Augmented analytics marks the next wave of disruption in the data analytics market”. It is an approach that automates insights using machine learning and natural language generation. Gartner predicts “by 2020, more than 40% of data science tasks will be automated”, resulting in increased productivity and broader use by data scientists. According to Accenture, “1 out of 3 insurers globally now uses Big Data from IoT technologies, such as Fitbit, Samsung Gear or Apple watch to collect lifestyle data from insureds”. Augmented Analytics will help reap business value from those data by automating Big Data insights. The insurance industry is expected to be the biggest beneficiary as it will help increase the accuracy and end the traditional “gut-feeling” decision-making approach.

3. Blockchain for war on fraud:

Blockchain is one of the biggest fourth industrial revolutions for many industries, including insurance. Insurance fraud costs more than $40 billion a year. The insurance companies can use “the distributed ledger” to potentially lower fraudulent claims, cost, transaction settlement time and improve cash flow.EY, Guardtime, A.P. Møller-Maersk, Microsoft, and ACORD collaborated and launched blockchain-powered marine hull insurance platform Insurwave in 2018. The platform is now in commercial use and handled risk for more than 1,000 commercial vessels and 500,000 automated transactions in its first twelve months of operation. More than 38 insurance companies have embarked on an initiative called the B3i to explore Blockchain applications in insurance.In the past decade, technological advances from artificial intelligence to Blockchain have transformed business models in every sector and insurance is no exception. Dubai World Insurance Congress embraced the future of the industry with insights from the sector’s most established and innovative leaders,” said Arif Amiri, Chief Executive Officer of DIFC Authority.

International Data Corporation (IDC) analysis shows “worldwide spending on Blockchain solutions could reach $11.7 Bn in 2022”. Blockchain gives the insurance company an independently verifiable data set so they don’t have to rely on the customer’s version. It is emerging as the central repository of truth for many blockchain use-cases. According to Gartner reports, “Blockchain will create $3.1T in business value by 2030”.

4. Quantum Computing:

Quantum computing is rising on the Gartner Hype Cycle. It is expected to become one of the greatest disruptions of the age. Quantum computing has the ability to process huge datasets and models that would have previously taken days and weeks. It can help calculate risks, of almost any nature, such as the impact of an approaching hurricane on a specific region.

According to a recent Novarica executive report, “Quantum Computing and Insurance: Overview and Potential Players,” by Mitch Wein and Tom Kramer offer various use cases of quantum computing. However, not many insurers are working with quantum algorithms. They are still seen as technologies that are on the distant horizon and not in their face like artificial intelligence.

The insurance industry has a complex infrastructure and legal restrictions. However, with investments in these Strategic Technology trends, insurers can become more customer-centric, achieve growth and lower cost.

https://www.futureblockchainsummit.com/news/dubai-world-insurance-congress-calls-for-faster-digitisation

https://www.gartner.com/en/newsroom/press-releases/2018-10-15-gartner-identifies-the-top-10-strategic-technology-trends-for-2019

https://www2.deloitte.com/content/dam/Deloitte/it/Documents/technology/09%20-%20Dataviz%20-%20Qlik%20proposition_Deloitte%20Italy.pdf

https://www.gartner.com/en/newsroom/press-releases/2017-01-16-gartner-says-more-than-40-percent-of-data-science-tasks-will-be-automated-by-2020

https://www.linkedin.com/pulse/case-study-insurance-industry-denis-mwarania

https://tractable.ai/blog/together-towards-ai-notes-from-insuretech-connect-2017

https://www.dig-in.com/list/top-5-insurance-quantum-computing-use-cases

https://www.cbinsights.com/research/blockchain-insurance-disruption/

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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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