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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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Platform Engineering: Accelerating Development and Deployment

The software development landscape is evolving rapidly, demanding unprecedented levels of speed, quality, and efficiency. To keep pace, organizations are turning to platform engineering. This innovative approach empowers development teams by providing a self-service platform that automates and streamlines infrastructure provisioning, deployment pipelines, and security. By bridging the gap between development and operations, platform engineering fosters standardization, and collaboration, accelerates time-to-market, and ensures the delivery of secure and high-quality software products. Let’s dive into how platform engineering can revolutionize your software delivery lifecycle.

The Rise of Platform Engineering

The rise of DevOps marked a significant shift in software development, bringing together development and operations teams for faster and more reliable deployments. As the complexity of applications and infrastructure grew, DevOps teams often found themselves overwhelmed with managing both code and infrastructure.

Platform engineering offers a solution by creating a dedicated team focused on building and maintaining a self-service platform for application development. By standardizing tools and processes, it reduces cognitive overload, improves efficiency, and accelerates time-to-market.  

Platform engineers are the architects of the developer experience. They curate a set of tools and best practices, such as Kubernetes, Jenkins, Terraform, and cloud platforms, to create a self-service environment. This empowers developers to innovate while ensuring adherence to security and compliance standards.

Role of DevOps and Cloud Engineers

Platform engineering reshapes the traditional development landscape. While platform teams focus on building and managing self-service infrastructure, application teams handle the development of software. To bridge this gap and optimize workflows, DevOps engineers become essential on both sides.

Platform and cloud engineering are distinct but complementary disciplines. Cloud engineers are the architects of cloud infrastructure, managing services, migrations, and cost optimization. On the other hand, platform engineers build upon this foundation, crafting internal developer platforms that abstract away cloud complexity.

Key Features of Platform Engineering:

Let’s dissect the core features that make platform engineering a game-changer for software development:

Abstraction and User-Friendly Platforms: 

An internal developer platform (IDP) is a one-stop shop for developers. This platform provides a user-friendly interface that abstracts away the complexities of the underlying infrastructure. Developers can focus on their core strength – building great applications – instead of wrestling with arcane tools. 

But it gets better. Platform engineering empowers teams through self-service capabilities.This not only reduces dependency on other teams but also accelerates workflows and boosts overall developer productivity.

Collaboration and Standardization

Close collaboration with application teams helps identify bottlenecks and smooth integration and fosters a trust-based environment where communication flows freely.

Standardization takes center stage here. Equipping teams with a consistent set of tools for automation, deployment, and secret management ensures consistency and security. 

Identifying the Current State

Before building a platform, it’s crucial to understand the existing technology landscape used by product teams. This involves performing a thorough audit of the tools currently in use, analyzing how teams leverage them, and identifying gaps where new solutions are needed. This ensures the platform we build addresses real-world needs effectively.

Security

Platform engineering prioritizes security by implementing mechanisms for managing secrets such as encrypted storage solutions. The platform adheres to industry best practices, including regular security audits, continuous vulnerability monitoring, and enforcing strict access controls. This relentless vigilance ensures all tools and processes are secure and compliant.

The Platform Engineer’s Toolkit For Building Better Software Delivery Pipelines

Platform engineering is all about streamlining and automating critical processes to empower your development teams. But how exactly does it achieve this? Let’s explore the essential tools that platform engineers rely on:

Building Automation Powerhouses:

Infrastructure as Code (IaC):

CI/CD Pipelines:

Tools like Jenkins and GitLab CI/CD are essential for automating testing and deployment processes, ensuring applications are built, tested, and delivered with speed and reliability.

Maintaining Observability:

Monitoring and Alerting:

Prometheus and Grafana is a powerful duo that provides comprehensive monitoring capabilities. Prometheus scrapes applications for valuable metrics, while Grafana transforms this data into easy-to-understand visualizations for troubleshooting and performance analysis.

All-in-one Monitoring Solutions:

Tools like New Relic and Datadog offer a broader feature set, including application performance monitoring (APM), log management, and real-time analytics. These platforms help teams to identify and resolve issues before they impact users proactively.

Site Reliability Tools To Ensure High Availability and Scalability:

Container Orchestration:

Kubernetes orchestrates and manages container deployments, guaranteeing high availability and seamless scaling for your applications.

Log Management and Analysis:

The ELK Stack (Elasticsearch, Logstash, Kibana) is the go-to tool for log aggregation and analysis. It provides valuable insights into system behavior and performance, allowing teams to maintain consistent and reliable operations.

Managing Infrastructure

Secret Management:

HashiCorp Vault protects secretes, centralizes, and manages sensitive data like passwords and API keys, ensuring security and compliance within your infrastructure.

Cloud Resource Management:

Tools like AWS CloudFormation and Azure Resource Manager streamline cloud deployments. They automate the creation and management of cloud resources, keeping your infrastructure scalable, secure, and easy to manage. These tools collectively ensure that platform engineering can handle automation scripts, monitor applications, maintain site reliability, and manage infrastructure smoothly.

The Future is AI-Powered:

The platform engineering landscape is constantly evolving, and AI is rapidly transforming how we build and manage software delivery pipelines. The tools like Terraform, Kubecost, Jenkins X, and New Relic AI facilitate AI capabilities like:

  • Enhance security
  • Predict infrastructure requirements
  • Optimize resource security 
  • Predictive maintenance
  • Optimize monitoring process and cost

Conclusion

Platform engineering is becoming the cornerstone of modern software development. Gartner estimates that by 2026, 80% of development companies will have internal platform services and teams to improve development efficiency. This surge underscores the critical role platform engineering plays in accelerating software delivery and gaining a competitive edge.

With a strong foundation in platform engineering, organizations can achieve greater agility, scalability, and efficiency in the ever-changing software landscape. Are you ready to embark on your platform engineering journey?

Building a robust platform requires careful planning, collaboration, and a deep understanding of your team’s needs. At Mantra Labs, we can help you accelerate your software delivery. Connect with us to know more. 

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