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Key Takeaways of 4th Insurance India Summit & Awards 2019

Innovation and Disruption are causing a paradigm shift in the Indian insurance industry today.

The industry is expected to touch USD 280B by 2020. With the advent of InsurTech, Blockchain, Big Data, AI, IoT, AR amidst changing consumer preferences — there has been a holistic approach to insurance automation, challenging the traditional concepts making insurance a battleground of the old and the new.

The insurance penetration in India is only 3.7% as a percentage of GDP compared to the World average of 7%. However, changes in the demographics, technology and business models have opened up a plethora of opportunities for the Indian insurance industry which is growing at a rate of 11% annually. This has marked the beginning of breaking out of an emerging state into broader impact and use, enabling insurers to expand into more ecosystems than ever before.

The recently concluded “4th Annual Insurance India Summit & Awards 2019” with the motto of “Integrating Technology & Big Data to Enhance Distribution Channel, Marketing Strategy & Customer Experience” — aimed at having robust and key focused area discussions on the inherent insurance challenges. IISA creates a platform for one of India’s largest gathering of Insurance leaders and Innovators. 

Let’s have a look at the key takeaways of the 4th Insurance India Summit and Awards 2019.

Key takeaways of 4th Annual Insurance Summit and Awards 2019

PHYGITAL is the New Wave in Insurance  

There is still a trust deficit between the customers and insurance companies, primarily due to highly suspect products with unrealistic returns being sold in the past decade. Customer Expectations are very different online and offline for the same customer. 

In such a moment of crisis, the focus on Digital cannot be limited to just customer acquisition, as Customer engagement is the key

Phygital, i.e Physical + Digital, is the concept that brands and businesses are using as a sales strategy to amplify the yield. Phygital as a paradigm is challenging the cascaded approach of traditional insurance and bridges the gap between both the worlds effortlessly.

With the help of data visualization, one can help increase customer interactivity, analyze product performance, understand data consumption objectives and thereby improve customer experience. The objective is to provide the ultimate 360-degree experience. This includes a focus on relationships, lifecycle, and even life stages.

Click to know more on, ‘Scope of Phygital in Insurance‘.

The New Product is About Customer Journey:

Customer Expectations have changed significantly over a short period of time. The forecasted move to real-time interaction is indeed here. 

Source: SMA white paper

Customer journeys in insurance are often complex. It involves multifaceted relationships, multiple locations, and various insurance needs. Due to these complexities, 70% of Indians working in rural areas generate 40% of India’s income but have much lower access to the products and services.

Insurance companies are looking at creating efficiency across the Value Chain. Thus they are now also looking at creating or leveraging existing eco-systems e.g. E-Commerce, to widen the footprint. Instead of the focus being on removing agents and selling directly, Insurance companies are now focused on empowering agents.

According to recent SMA research, 85% of insurers report that customer experience and engagement is a top strategic initiative, ranking it as #1 – a significant shift from #4 and #5 in past years. This is good news for the industry, as it points to determination and focuses to place the customer first.

Cognitive RPA to Ease Insurance Problems:

Data is a vital ingredient for going Cognitive. The cognitive insurance business is the one that allows underwriters to be equipped with a repertoire of AI-enabled tools, empowering them to make better and more informed decisions about their customer.

RPA tools currently occupy the Peak of Inflated Expectations in the Gartner Hype Cycle for Artificial Intelligence, 2018. 

Cognitive 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.

Miniaturizing of Insurance — Microinsurance

Insurance coverages are the greatest aid against the consequences of risk exposures and also provides support for the insured’s credits. However,  65% of Indians below the age of 35 don’t want to buy Health Insurance

In order to provide “insurance for all”, the Insurance Regulatory and Development Authority of India (IRDAI) has a specialized category of insurance policies called micro insurances. It promotes bite-sized insurance coverage among Gen-Y and the economically vulnerable sections of society.

Click here to know if ‘ Microinsurance actually works for the economically vulnerable sections of India.

Micro-insurances are easily affordable over the bulky insurance schemes. Recently MaxBupa, a standalone health insurer partnered with Mobikwik, a fin-tech platform to promote affordable and convenient microinsurance products. Priced at an annual premium of ₹135, their product, HospiCash will offer ₹500 per day hospital allowance for up to 30 days in a year. 

Click to know more about how ‘ AI can help bridge customer gaps for microinsurers


The non-partisan agenda of the Summit was to explore challenges and their deterrents like technology integration in insurance, customer engagement, and customer experience. The discussions were designed to draw out clear outcomes for the industry together – in order to realize growth, customer satisfaction, profitability and deliver definitive business value.

Mantra Labs was proud to be the business development partner at the successful Summit. We were honored to partake in the insightful conversations and gather appreciation for presenting ‘FlowMagic’ – our Visual AI Platform for Insurers, from all the insurance industry experts present.

We hope to see you again, in the next edition!

To know us in person, drop us a Hi at hello@mantralabsglobal.com 

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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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