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TOP 10 INNOVATIVE INSURANCE PRODUCTS OF 2019

6 minutes 9 seconds read

We are witnessing the slow but sure, uberization of insurance. Insurers now more than ever, need big data-driven insights to assess risk, reduce claims, and create value for their customers. The industry is abuzz with a steady influx of new innovative products, deriving value in areas that were previously untapped.

Processes like faster KYC verification and onboarding, automated underwriting, virtual claims adjusting, to name a few have become hot commodities within the last year. With AI-assisted technologies improving functionality, reducing real-time data fraud or meddling; insurers are creating custom-fitted coverages for the end-user.

For example, AI-powered underwriting solutions are already saving up to 97% of the time and resources that were traditionally required, enabling the corporate underwriter to specialize in cases that require deeper thought and analysis.

According to a recent CB Insights report, here’s what’s next for P&C Insurance.

The general insurance industry in India alone is valued at US$ 21B in 2019, growing at 13% CAGR over the next 5 years, and is expected to touch US$ 57B by 2025. Customer’s coverage expectations in the subcontinent have shifted toward desires of flexible insurance products that more closely match their lifestyle needs. These trends across the APAC landscape mirror the changes being witnessed in more advanced insurtech markets across Europe and North America.

Keeping customers primed at the centre of insurance innovation, here’s a look at the top ten most game-changing products in insurance today (in no particular order)

  • Splitsurance: Allianz Suisse used KASKO’s cloud-based insurance lifecycle platform to create and run a new type of insurance product – splitsurance. The offering targets university students in Switzerland, who live in a ‘flatshare’. Customers can get a liability cover, insure up to three high-value items of their choosing and also get discounts if their flatmates decide to join. Users can manage and update their cover autonomously through an after-sales customer portal.  
  • CUVVA: Cuvva provides hourly car insurance. In the mobile app, you simply enter the registration number and approximate value of the car you are borrowing from a friend or family member, choose the time you want to be covered for, take a picture of the car and Cuvva will get you an instant quote. Cuvva integrates with Facebook so that you can see which of your friends have cars to borrow. Cuvva queries various data sources to check driving licence data, the Claims and Underwriting Exchange and automated fraud protection to verify coverage quicker than legacy players can.

  • Digital Risks: DigitalRisks is an insurance specialist built for tech companies, offering a flexible, pay monthly Insurance-as-a-Service model. A founder could start out by protecting their laptop and end up with employer liability insurance and insurance against data breaches as the company grows.

  • Back Me Up: Back Me Up is an offshoot of Ageas. Their unique proposition is to be a parental-like cover for young people and students. For £15, one can insure their three most valuable items (eg: laptop, mobile), that also includes theft loss and worldwide travel insurance, plus there are no annual contracts.

  • Mango: The Mexico-based life and retirement insurance intermediary, allows users to obtain life insurance “in minutes.” They are pioneers in Mexico, who use technology to streamline every interaction you have with your insurance, avoiding unnecessary paperwork and confusing coverages. They have intelligent bots at work to answer insurance related queries, plus their UI is outstanding.

  • Bought By Many: The UK-based startup is a free, members-only service that helps users to find insurance for the not so common things in life. They offer pet, travel, car, bike, shoes, gadgets, home insurance covers and more. Members save an average of 18.6%. The company negotiates discounts directly with insurers for the clients’ unique situations.  

  • Dad Cover: The product is uniquely propositioned for Dads looking to get life insurance and financially protect their families. They’re full-sized professional financial planning firms, working with life insurance specialists.  Using a streamlined service, one can get a free quote after a quick chat with their DadBot, then one of their associated FCA registered advisers will talk you through your needs, answer all your questions and give you proper independent advice on what’s best to help protect your family.

  • Go Girl: GoGirl is a woman-only drivers insurance, that rewards good drivers with lower premiums. The insurance cover also includes a free courtesy car when your car is in for repairs, legal cover, child car seat, personal accident and windscreen cover. The company also insures your handbag and its content if it is stolen from the car. A free quote is available in minutes, and the whole transaction can be completed online.

  • Safety Wing: The “Insurance for Nomads” via SafetyWing is travel insurance that’s creating a safety net for online freelancers and entrepreneurs. The company offers coverage – up to $250k via Tokio Marine HCC – for unexpected illness or injury, including eligible expenses for the hospital, doctor or prescription drugs. They plan to extend their products to medical travel insurance in the near future.

  • Vlot: The Vlot platform provides life risk analysis and coverage solutions that smoothly adjust to your changing life situations. If you meet unexpected changes in your life, such as moving to a new city, getting married, or loss of a job – you can adjust your life risk coverage accordingly and never be over or underinsured. You only pay for what you really need in your current life situation, and control the premiums as and when dynamic changes occur.  

Special mention:

Fizzy: Fizzy is a revolutionary web & mobile insurance cover for flight delays of 2 hours or more. Developed by AXA, with Fizzy you combine the benefits of a startup and the insurance knowledge of a global insurer. They offer a one-shot coverage tailored to your own flight route, with automatic compensation in case of a delay, with no exclusions. You can purchase fizzy in 4 clicks at any time after your flight ticket has been purchased, up to 5 days prior to departure.

As customer tastes continue to evolve, the future looks promising for the state of innovation, while insurers align their offerings in lieu of the demand for newer insurance products.

The marketplace of insurance ideas is already a reflection of the changes customers want to see from their insurance providers, with young insurtechs being instrumental in bridging those unmet need-gaps, and bringing out positively unique insurance coverages for the average consumer.

(Note: The products highlighted here are not rank-based and are not indicative of the ‘best’ insurtech products available today. For more analysis on Insurtech products such as those from Lemonade, Trov etc. – which are not included here, read our blog on the Adoption of Chatbots across Insurance.)

webinar: AI for data-driven Insurers

Join our Webinar — AI for Data-driven Insurers: Challenges, Opportunities & the Way Forward hosted by our CEO, Parag Sharma as he addresses Insurance business leaders and decision-makers on April 14, 2020.

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What’s Next in Cloud Optimization? Can We Optimize Costs Without Sacrificing Performance?

Not too long ago, storing data meant dedicating an entire room to massive CPUs. Then came the era of personal computers, followed by external hard drives and USB sticks. Now, storage has become practically invisible, floating somewhere between data centers and, well, the clouds—probably the ones in the sky. Cloud computing continues to evolve, As cloud computing evolves, optimizing costs without sacrificing performance has become a real concern.  How can organizations truly future-proof their cloud strategy while reducing costs? Let’s explore new-age cloud optimization strategies in 2025 designed for maximum performance and cost efficiency.

Smarter Cloud Strategies: Cutting Costs While Boosting Performance

1. AI-Driven Cost Prediction and Auto-Optimization

When AI is doing everything else, why not let it take charge of cloud cost optimization too? Predictive analytics powered by AI can analyze usage trends and automatically scale resources before traffic spikes, preventing unnecessary over-provisioning. Cloud optimization tools like AWS Compute Optimizer and Google’s Active Assist are early versions of this trend.

  • How it Works: AI tools analyze real-time workload data and predict future cloud resource needs, automating provisioning and scaling decisions to minimize waste while maintaining performance.
  • Use case: Netflix optimizes cloud costs by using AI-driven auto-scaling to dynamically allocate resources based on streaming demand, reducing unnecessary expenditure while ensuring a smooth user experience.

2. Serverless and Function-as-a-Service (FaaS) Evolution

That seamless experience where everything just works the moment you need it—serverless computing is making cloud management feel exactly like that. Serverless computing eliminates idle resources, cutting down costs while boosting cloud performance. You only pay for the execution time of functions, making it a cost-effective cloud optimization technique.

  • How it works: Serverless computing platforms like AWS Lambda, Google Cloud Functions, and Azure Functions execute event-driven workloads, ensuring efficient cloud resource utilization while eliminating the need for constant infrastructure management.
  • Use case: Coca-Cola leveraged AWS Lambda for its vending machines, reducing backend infrastructure costs and improving operational efficiency by scaling automatically with demand. 

3. Decentralized Cloud Computing: Edge Computing for Cost Reduction

Why send all your data to the cloud when it can be processed right where it’s generated? Edge computing reduces data transfer costs and latency by handling workloads closer to the source. By distributing computing power across multiple edge nodes, companies can avoid expensive, centralized cloud processing and minimize data egress fees.

  • How it works: Companies deploy micro data centers and AI-powered edge devices to analyze data closer to the source, reducing dependency on cloud bandwidth and lowering operational costs.
  • Use case: Retail giant Walmart leverages edge computing to process in-store data locally, reducing latency in inventory management and enhancing customer experience while cutting cloud expenses.

4. Cloud Optimization with FinOps Culture

FinOps (Cloud Financial Operations) is a cloud cost management practice that enables organizations to optimize cloud costs while maintaining operational efficiency. By fostering collaboration between finance, operations, and engineering teams, FinOps ensures cloud investments align with business goals, improving ROI and reducing unnecessary expenses.

  • How it works: Companies implement FinOps platforms like Apptio Cloudability and CloudHealth to gain real-time insights, automate cost optimization, and enforce financial accountability across cloud operations.
  • Use case: Early adopters of FinOps were Adobe, which leveraged it to analyze cloud spending patterns and dynamically allocate resources, leading to significant cost savings while maintaining application performance. 

5. Storage Tiering with Intelligent Data Lifecycle Management

Not all data needs a VIP seat in high-performance storage. Intelligent data lifecycle management ensures frequently accessed data stays hot, while infrequently used data moves to cost-effective storage. Cloud-adjacent storage, where data is stored closer to compute resources but outside the primary cloud, is gaining traction as a cost-efficient alternative. By reducing egress fees and optimizing storage tiers, businesses can significantly cut expenses while maintaining performance.

  • How it’s being done: Companies use intelligent storage optimization tools like AWS S3 Intelligent-Tiering, Google Cloud Storage’s Autoclass, and cloud-adjacent storage solutions from providers like Equinix and Wasabi to reduce storage and data transfer costs.
  • Use case: Dropbox optimizes cloud storage costs by using multi-tiered storage systems, moving less-accessed files to cost-efficient storage while keeping frequently accessed data on high-speed servers. 

6. Quantum Cloud Computing: The Future-Proof Cost Gamechanger

Quantum computing sounds like sci-fi, but cloud providers like AWS Braket and Google Quantum AI are already offering early-stage access. While still evolving, quantum cloud computing has the potential to process vast datasets at lightning speed, dramatically cutting costs for complex computations. By solving problems that traditional computers take days or weeks to process, quantum computing reduces the need for excessive computing resources, slashing operational costs.

  • How it works: Cloud providers integrate quantum computing services with existing cloud infrastructure, allowing businesses to test and run quantum algorithms for complex problem-solving without massive upfront investments.
  • Use case: Daimler AG leverages quantum computing to optimize battery materials research, reducing R&D costs and accelerating EV development.

7. Sustainable Cloud Optimization: Green Computing Meets Cost Efficiency

Running workloads when renewable energy is at its peak isn’t just good for the planet—it’s good for your budget too. Sustainable cloud computing aligns operations with renewable energy cycles, reducing reliance on non-renewable sources and lowering overall operational costs.

  • How it works: Companies use carbon-aware cloud scheduling tools like Microsoft’s Emissions Impact Dashboard to track energy consumption and optimize workload placement based on sustainability goals.
  • Use case: Google Cloud shifts workloads to data centers powered by renewable energy during peak production hours, reducing carbon footprint and lowering energy expenses. 

The Next Frontier: Where Cloud Optimization is Headed

Cloud optimization in 2025 isn’t just about playing by the old rules. It’s about reimagining the game entirely. With AI-driven automation, serverless computing, edge computing, FinOps, quantum advancements, and sustainable cloud practices, businesses can achieve cost savings and high cloud performance like never before.

Organizations that embrace these innovations will not only optimize their cloud spend but also gain a competitive edge through improved efficiency, agility, and sustainability. The future of cloud computing in 2025 isn’t just about cost-cutting—it’s about making smarter, more strategic cloud investments.

At Mantra Labs, we specialize in AI-driven cloud solutions, helping businesses optimize cloud costs, improve performance, and stay ahead in an ever-evolving digital landscape. Let’s build a smarter, more cost-efficient cloud strategy together. Get in touch with us today!

Are you ready to make your cloud strategy smarter, cost-efficient, and future-ready with AI-driven, serverless, and sustainable innovations?

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