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What are the latest Innovations in InsurTech

The technological transformation has slowly and steadily paved its way into the Insurance sector and has started to disrupt it gradually. I have mentioned continuously some of the most astonishing technological innovations that involve AI and machine learning and other latest innovations. But, when we talk about InsurTech, then it is one of those sectors which got a bit delayed to see the light of technical advancement. Nevertheless, Insurtech is still witnessing an enormous number of innovations some of which are already in use while some of them are underway. Innovation in insurance is happening, and the next decade will see a transformation in how the entire industry operates.

Innovations in Insurance sector

Here are some of the most significant insurance innovations in InsurTech:

1. Drones

Drones are a quite popular unmanned aerial vehicle in the aviation industry. It is equipped with many technological benefits that caught the eye of Insurance companies about five years ago.  InsurTech companies started experimenting with Drones and found its application in claim adjustment, and large-scale surveying because of its small size and effortless manoeuvring.

Reasons why it is helpful for insurance companies:

    Roof damage inspections: Drones are useful for rooftop damage inspection which is touted to be one of the most dangerous and difficult inspections. In cases of fire accident or crazily high rooftops, the difficulty level is even more.  Rather than sending an army of men to inspect the notoriously dangerous roofs, an adjuster can use a drone equipped camera and take the pictures of the entire rooftop without actually visiting the location physically.

    Large spaces: Drones can also be used for inspecting extensively large areas like warehouses and farmlands.

    Integration with other technologies: The images that are taken by drones can be integrated with AI-based applications and other technologies to assess the damage and repair costs.

2. Smart Homes

Insurance companies have understood the importance of technological tools that not only safeguard the customers but also reduce the total number of claims. This thought has given rise to several partnerships between insurance companies and smart home technology companies.  For example, Insurance firm Allstate and farmers have developed applications for Amazon echo that helps to analyse the insurance coverage.

A well-connected home is a win-win for both the consumer as well as the insurers. Digital sensors around the house provide the resident with real-time alerts. So, damage can be minimised and sometimes eliminated resulting in insurers paying lower costs and customers having lesser premiums. Also, the smart homes allow greater data collection points that can be used to create the consumer profile based on his habits leading to an accurate underwriting and affordable coverage.

3. Quantum Computing

While AI has a significant influence on the Insurance industry it is still restricted by barriers posed by binary computing.  Quantum computing is the answer to those challenges, and it is changing the entire dynamics on how insurance companies carry out complex calculations. Insurtech companies are creating, and testing solutions around this approach and its effects will soon be visible.

4. Smart Contracts

A smart contract is an electronic document that is capable of executing itself based on a set of agreed pre-defined conditions and clauses. Non-adherence to any of the requirements results in penalties as in a traditional legal document. It is an intelligent way to create and process policies online with strangers without the involvement of a third party. Japanese insurance company Tokio Marine & Fire Insurance Nichido together with NTT data has already started to test blockchain technology for defining policies for sea-based business exchanges.   

5. Telematics Insurance

Telematic insurance car products are similar to black boxes. A telematics device equipped with GPS, SIM, motion sensors and an analytic software is installed in a car to determine the driving patterns of the driver. The telematics box collects and processes all this data and send this to the insurance companies. With the help of this data, the insurance companies create tailored insurance plans for their insurants. This service prevents companies from using the “one size fit all” approach and help to create a more sophisticated and specific insurance plan.

The insurance sector is on its way of digital transformation and customers are also expecting the same from their insurance providers. IoT, wearables are some of the other innovations that are in the nascent stages of development, but soon we can expect them to become a major part of InsurTech innovations. 

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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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