Astronaut loading animation Circular loading bar

Try : Insurtech, Application Development

AgriTech(1)

Augmented Reality(20)

Clean Tech(7)

Customer Journey(16)

Design(39)

Solar Industry(7)

User Experience(62)

Edtech(10)

Events(34)

HR Tech(3)

Interviews(10)

Life@mantra(11)

Logistics(5)

Strategy(17)

Testing(9)

Android(48)

Backend(32)

Dev Ops(8)

Enterprise Solution(28)

Technology Modernization(4)

Frontend(29)

iOS(43)

Javascript(15)

AI in Insurance(36)

Insurtech(63)

Product Innovation(54)

Solutions(21)

E-health(11)

HealthTech(23)

mHealth(5)

Telehealth Care(4)

Telemedicine(5)

Artificial Intelligence(139)

Bitcoin(8)

Blockchain(19)

Cognitive Computing(7)

Computer Vision(8)

Data Science(17)

FinTech(51)

Banking(7)

Intelligent Automation(27)

Machine Learning(47)

Natural Language Processing(14)

expand Menu Filters

5 Real-world Blockchain Use-cases in Insurance Industry

Nearly 80% of insurance executives have either already adopted or planning to pilot blockchain technology across their business units. The level of trust, transparency, and immutability that blockchain (distributed ledger technology) provides is impeccable. 

blockchain insurance use cases- benefits

Blockchain offers an independently verifiable dataset so that insurers, as well as customers, need not suffer from decisions based on inappropriate/incomplete information. In the instances of travel insurance, blockchain-based systems use external data sources to validate whether a flight was missed or canceled. Accordingly, insurers can decide on processing refund claims. Well, blockchain can handle even more complex situations of road accidents by accurately determining the vehicle or human fault.

The 5 practical blockchain use-cases in the insurance industry are-

  1. Fraud detection
  2. IoT & Blockchain together to structure data
  3. Multiple risk participation/Reinsurance
  4. On-demand insurance
  5. Microinsurance

Fraud Detection

In the US alone, every year fraudulent claims account for more than $40 billion, which is excluding health insurance. Despite digitization, the standard methods fail to recognize fraud. Blockchain can help in fraud detection and prevention to a great extent. 

Blockchain ensures that all the executed transactions are permanent and timestamped. I.e. no one, including insurers, can modify the data preventing any kind of breaches. This data can further help in defining patterns of fraudulent transactions, which insurers can use in their fraud prevention algorithms. 

Fraud detection using blockchain use case: Etherisc

Powered by smart contracts, Etherisc independently verifies claims by using multiple data sources. For example, for crop insurance claims, it compares satellite images, weather reports, and drone images with the image provided by the claimant. 

IoT & Blockchain together to structure data

As IoT will connect more and more devices, the amount of data generated from each of the devices will increase significantly. For instance, there were 26.66 billion active IoT devices in 2019 and nearly 127 IoT devices connect to the internet every second

This data is extremely valuable for insurers to develop accurate actuarial models and usage-based insurance models. Considering the auto insurance sector, the data collected about driving time, distances, acceleration, breaking patterns, and other behavioral statistics can identify high-risk drivers. 

But, the question is — how to manage the enormous data as millions of devices are communicating every second. 

And the answer is a blockchain!

It allows users (insurers) to manage large and complex networks on a peer-to-peer basis. Instead of building expensive data centers, blockchain offers a decentralized platform to store and process data. 

Multiple risk participation/Reinsurance

Reinsurance is insurance for insurers. It protects the insurers when large volumes of claims come in. 

Also read – 5 biggest insurance claims payouts in history

Because of information silos and lengthy processes, the current reinsurance system is highly inefficient. Blockchain can bring twofold advantages to reinsurers. One — unbreached records for accurate claims analysis and two — speeding-up the process through automated data/information sharing. PwC estimates that blockchain can help the reinsurance industry save up to $10 billion by improving operational efficiency.

For example, in 2017, B3i (a consortium for exploring blockchain in insurance) launched a smart contract management system for Property Cat XOL contracts. It is a type of reinsurance for catastrophe insurance.

On-demand insurance

On-demand insurance is a flexible insurance model, where policyholders can turn on and off their insurance policies in just a click. More the interactions with policy documents, the greater the hassle to manage the records. 

For instance, on-demand insurance requires underwriting, policy documents, buyers records, costing, risk, claims, and so on much more than traditional insurance policies.

But, thanks to blockchain technology, maintaining ledgers (records) has become simpler. On-demand insurance players can leverage blockchain for efficient record-keeping from the inception of the policy until its disposal. An interesting blockchain insurance use cases is that of Ryskex — a German InsurTech, founded in 2018. It provides blockchain-powered insurance platform to B2B insurers to transfer risks faster and more transparently. 

Microinsurance

Instead of an all-encompassing insurance policy, microinsurance offers security against specific perils for regular premium payments, which are far less than regular insurances. Microinsurance policies deliver profits only when distributed in huge volumes. However, because of low profit-margin and high distribution cost, despite immediate benefits, microinsurance policies don’t get the deserved traction. 

Blockchain can offer a parametric insurance platform. With this, insurers will need fewer local agents and “oracles” can replace adjusters on the ground. For example, Surity.ai uses blockchain to offer microinsurance to the Asian populace, especially those not having access to the services of banks or other financial organizations. 

For further queries around blockchain / insurance use cases, please feel free to drop us a word at hello@mantralabsglobal.com.

Related blockchain articles – 

Cancel

Knowledge thats worth delivered in your inbox

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. 

Cancel

Knowledge thats worth delivered in your inbox

Loading More Posts ...
Go Top
ml floating chatbot