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Key Takeaways of Indian Insurance Summit & Awards 2019

India, despite being the 2nd most populous country on the planet, accounts for only 1.5% of the World insurance premiums, and 2% of World life insurance premiums. But, with the increasing numbers to serve, the insurance market in India promises huge growth and exciting potential – were only about 20% of Indians were insured last year.

Key challenges like market penetration, product innovation, risk and fraud need to be mitigated, for insurance players to achieve better growth, customer satisfaction and profitability.

The recently concluded Indian Insurance Summit and Awards 2019 aimed at having robust and key focused area discussions on these challenges, brought together the entire insurance industry network in front of a global audience.

Here are some of the highlights and takeaways from the two-day conference:

Key takeaways of India Insurance Summit and Awards 2019

  • Application of AI beyond claims and underwriting:

AI has paved its way far beyond claims and underwriting policies. The rising InsurTech wave is marking this change by tailoring solutions for individual customers and replacing the one-size-fits-all type of product that is currently available. AI also plays a major role in fraud detection and risk management strategies.

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.

Although, India represents a smaller share of this market, in terms of revenue in comparison to the North American region; India, (along with the rest of Asia) is expected to outperform Europe over the next five-year period.

  • Product innovation for the ease of insurance processes:

While the insurance landscape is experiencing radical changes in product innovation; innovation in technology is the next frontier.

Predicting the probability of future losses can help insurers improve pricing and accuracy; which precisely can be useful in case of risk, with little historical data from which estimates have to be drawn. Around 44% of the insurers say that they have started deploying predictive analytics solution.

California based InsurTech, Carpe Data, has fully automated systems that leverage social media to detect claim frauds and ease out specific insurance processes. Allstate insurance partnered with Carpe Data to generate meaningful insights and help them to mitigate risks in insurance processing.

“The insurance industry is used to working with historical data—the most important                challenge before them is to move from that model to a predictive one.”

Gilles Ferreol, Managing Director, CNP Partners

Bajaj Allianz introduced usage-based auto insurance called ‘DriveSmart Service’. The service monitors the car through a vehicle tracking-device and provides relevant diagnostics data on the performance of the driver.

  • Cognitive Insurance is a new wave of innovation:

Data is a vital ingredient for going Cognitive. The cognitive insurance business is 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.AXA Insurance has implemented a Google Tensor Flow-based application to optimise pricing by predicting large-loss traffic accidents with over 78% of accuracy. By leveraging a deep analysis of their customer profiles, AXA was able to understand which clients were are at a higher risk of large-loss cases requiring payment of more than 10,000 – which means, they were able to optimize the pricing of its policies.

Cognitive computing is at the “peak of inflation” on the Gartner Hype Cycle. The Cognitive approach to insurance business after the digital insurance business is the new wave to bring innovation and transformation purpose of going cognitive was created solely with the purpose of reducing human effort and refining the existing process across various insurance verticals.

  • Use a Sandbox approach to test customer’s interest:

To keep pace with the fast-evolving world of InsurTech, insurance companies should consider testing their products in a controlled environment or a “Sandbox”. This approach can provide certain advantages such as allowing insurers to launch unconventional products on a pilot-basis before seeking necessary approval.

The first insurance plan launched under this method, called “Insurance Khata” was directed towards those with seasonal incomes, mostly belonging to the underserved sections of Indian society. The buyers can pool multiple single plans in one account.

 “We want insurers to think out-of-the-box,” said Nilesh Sathe, a member at the IRDAI.

This rather unique proposition encourages insurance companies to place the policyholder right at the front of their approach, consequently not allowing regulation in being a constricting force in their innovation journey.

Data, by its very nature, is both an asset and a liability, which presents inherent risks in its handling and management. Risks that can be quite severe, in a business foundationally based on dealing with uncertainties.
Insurance is one of the richest data-driven businesses, and the consequences of a data breach extend far beyond the reputational damage that results from negative news headlines.

On July 2018, SingHealth, the largest network of healthcare institutions in Singapore, came under a severe cyber-attack and the personal data of around 1.5 million patients, including those of the Singapore PM, Lee Hsien Loong, were stolen.-Straits Times reports

In the past couple of years, the insurance industry has fallen short, by being on the defensive, of handing cyber-attacks and cyber-frauds. The industry cannot afford to take be reactive for much longer – at some point, they need to be thinking ahead of their adversaries.

The non-partisan agenda of the Summit was to explore challenges and their deterrents like market penetration, product innovation, risk, and fraud. 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 sponsor the successful Summit and partake in the insightful conversations held between insurance leaders from all corners of the industry.

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

https://www.insurancebusinessmag.com/asia/features/interviews/protecting-the-insurance-sector-from-cyber-threats-109124.aspx

Together Towards AI: Notes from InsureTech Connect 2017

Strategic Technology Trends in Insurance

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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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