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Can Distributed Ledgers Accelerate Insurance Workflows?

The years 2018-19 are the banner years for the US$ 5.17 trillion global insurance sector. However double-booking, counterfeiting, and premium diversions through unlicensed brokers still throb insurance companies. And one of the prime reasons for such unethical activities is the lack of tight coupling between stakeholders. A simple solution to these challenges is distributed ledgers- a contemporary technology that ensures transparency. Distributed ledger technology in insurance can create a collaborative environment for handling information, minimizing instances of fraudulent activities. 

How Can Distributed Ledgers Accelerate Insurance Workflows?

Where most insurtech startups and small insurers are looking for “insurance-in-a-box” technology, big players demand bespoke technology to develop distinct capabilities for customer convenience and manage their enterprise workflows. Fortunately, distributed ledger technology solves a major chunk of this problem. 

For startups and small to medium size insurtech firms, cloud-based, customizable workflow management products can simplify the processes and create a collaborative work environment. Large enterprises can, of course, afford time and investment for tailor-made technologies suitable for their overall business requirements.

#Smart Contracts

Smart contracts can automatically determine whether to transfer an asset to the nominee or back to the source, or a combination of both. It does not necessarily create a contract or legal act, but can sure validate a condition. For example, Ethereum provides a prominent smart contract framework. 

Smart contracts allow credible transactions with or without involving third parties (oracles).

For example, Etherisc uses smart contracts concepts for building insurance products. The fundamentals used for Etherisc’s insuring flight delays product is applicable for insurance products like crop insurance, flood, earthquake, etc.

#Claims Management

Cifas reports a 27% rise in false insurance claims across the UK in the past year. Moreover, insurers identify 1 in every 30 claims as fraudulent. Organizations can track records better with distributed ledgers minimizing the illicit instances. 

Blockchain technology allows for automated real-time data collection and analysis. BCG expects Property and Casualty (P&C) insurance has the potential of processing claims up to 3x faster and 5x cheaper than traditional processes. 

It can also enhance customer experience by removing indirections due to various touchpoints between him and the claim settlement manager. Distributed ledgers can overall benefit processing time, automating payments, eliminating trust issues, and fraud reduction.

Traditional Insurance Model vs Distributed Ledger Insurance Model: Distributed Ledger Technology in Insurance

#Reinsurance

Reinsurance (passing a whole or part of insurance liabilities to another company) will simplify the sharing of data like bordereau and claims databases. For the insurance companies not preferring to share their client’s data, access rights can be customized in distributed ledgers.

According to PWC research, the reinsurance industry can save up to $10B by increasing operational efficiencies through distributed ledgers.

#Underwriting

“A shared, distributed ledger lends itself to this need for exchanging transparent, trustworthy data in a standard format in real-time.” 

Stefan Schrijnen: Director, Insurance, EY

Having accurate real-world data can help underwriters reduce paperwork and measure the assets and risks effectively.

Insurwave, a blockchain-enabled insurance platform uses a distributed database with secure access for insuring shipments across the world. Maersk, the world’s leading shipping and logistics company have partnered with Insurwave for insurance renewal of its fleet of 800 container ships. 

In the words of Lars Henneberg, Head of Risk Management at A.P. Moller – Maersk. “A simple dashboard gives us a live overview of how our assets are insured, and our brokers and insurers have access to the same overview. If the location, cargo, or other data about our ships changes, everyone is notified — no delays, no paperwork, no mistakes.” 

#Product Design using Distributed Ledger Technology in Insurance

Instead of all-encompassing insurance policies, consumers look for short, custom-built policies that satisfy their immediate needs. Therefore, to stay competitive, insurance companies (and even e-commerce startups) need to consistently build new and relevant insurance products. Expanding features or building new products on the same fundamentals can be effectively realized with strong and transparent ledgers.

AXA’s smart contract product Fizzy is a next-generation Parametric Insurer, which uses transparency as its USP. It provides travel insurance on flight delays and cancellations. The claims displayed on the website are stored in a blockchain and no one can change the terms after purchase. User can buy the insurance online. When the flight is delayed or canceled, the public databases of plane status information automatically triggers the insurance holder’s compensation. The event confirmation executes and closes the claim process instantly.

Precautions to Take With Distributed Ledgers in Insurance

  1. Enterprises should be cautious about sharing access rights on distributed ledgers.
  2. Blockchain transactions are irreversible, therefore every click from an authorized user should be mindful.
  3. Instead of mimicking a trend, insurance companies can deploy the distributed ledger technology to best suit their business requirements.

Conclusion

MarketsandMarkets expects blockchain technology’s share in the insurance market to reach $1.4 billion by 2023. 

The insurance industry has already deployed distributed ledger components for insuring flight delays, lost baggage claims, and is expanding to shipping, health, and consumer durables domains. 

The future can also witness blockchain, AI, drones, and robotics disrupting the insurance industry together.

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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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