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Latest Trends in Insurance Technology

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Today, the insurance industry is at a digital transformative phase to enhance the business models. There are few key areas we can expect insurers to embrace as they seek to create more automated, user-friendly processes in Insurance sector.

Use of automations and artificial intelligence  

Insurance industry is shifting towards exploring automation of more complex and risky processes rather using of traditional method, which is less effective in case of time and accuracy. Using of emerging technologies like Artificial Intelligence and Machine learning provide the scope of intelligent automation for analysis of huge amount of data generated by IoT and smart wearables devices. These Analysis and cross checking of data help understanding the better customer insights, fraud detections, claims verification and processing.

With the more refined automated technologies and capability of analysing more data, insurance companies like AIG started employing smart drone for automated property assessment and claims processing, which not only helps in accurate assessment but reduces the operational cost also.

Redefining of Insurance distributions

For better user experience, insurers have already generalized the new channel of distribution such as online research, comparison platforms and chatbot for better interaction and understanding, which already impacted in the market of personal insurances. The new direct distribution channels and online comparison platform for direct small insurances are likely to be more effective in coming days.

Companies like Allstate is already allowing small business owner to buy policies in just five minutes, or P2P platform like Gather giving the opportunity to small business owner to self insure and coverage is offered through a captive which is owned by the businesses it insures.Thus offering greater transparency and reducing cost in policies for these type of enterprise.

Insurance through value chain disaggregation

As the market is growing, the specialization in sectors is becoming more popular. As insurers move into advanced and extreme digital stages there is more use of data, automation, connectivity, ecosystem integration, new development methodologies, and a smarter use of IT resources. Some of these companies are providing customer interface with a unique value propositions, some companies provides tools for specialized software solutions for the insurers.

Companies like PolicyBazar provides insurance comparison and gives customized suggestions and recommendations based on the customer needs and choices, using their artificial intelligence.

Data analytics to improve profitability and better customer experience

The exponentially greater data availability and better analytical capability of softwares provide the base of making decision. Cross checking and analysing on the large amount of data coming from various unstructured resources such as social media real time data through various connected devices, helps in better risk management to drive greater profitability as well as better customer experience. Applying a combination of techniques such as predictive modeling, text mining, databases searches and exception reporting, insures are able to understand better customer insight, fraud analytics which help them in making insight driven strategies and risk mitigation strategies.

Sensors, Detectors, and Telematics  for building data

IoT or internet of things refers to the physical objects that are embedded with sensors, which gather information about specific objects and transmit it. These transmitted data are then analyzed as discussed earlier.

In insurances, using of IoT technologies is becoming more popular. In case of home insurances, smart homes is one of the fastest growing segment. Insurances companies are giving more discount on policies for an internet connected Home/Smart home.

Various wearable devices are also in demand as it enables life and health insurers to better engage with customers while obtaining real time insight into risk. Aditya Birla Health  Insurance is offering their policyholders health benefits and rewards for connecting their approved apps and wearable devices to their health app so they can track one’s activity.

Property and casualty insurance companies like AIG , are going to use smart drone for better property assessment.

Blockchain Technology for fraud detection

In coming days Distributed Ledger Technology(DLT) or Blockchain Technology is going to be leveraged across all sector including Insurance for its revolutionary way of sending, receiving and storing information in a secure and decentralized way. Using of Blockchain technology in insurance will improve the quality of service, increase in the volume of data from new data sources, automate claims, also will reduce the operational costs. It has the potential to ease out fraud detection and risk prevention as per a report from EY.

Once insurance and blockchain technology are interconnected, key business process like policy management and claims management are likely to transformed and new business model are expected to emerge using Blockchain.

Augmented Reality/Virtual Reality in Insurance

Though Augmented Reality is leveraged by many other sectors, like in social media or in gaming and other sectors, insurance sector still is limited to areas like marketing or training by simplifying complex explanations, meant for customers and employees. How about a 3D modeling and simulations help customers in making insurance claims easier and faster? Or how about before you go for the home insurance a simulation helps you pinpoint all the areas under insurance rather than reading the lengthy document?

There are big challenges ahead for insurers. With more changing technologies, executives will need to carefully consider the opportunities.

 

 

 

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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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