Try : Insurtech, Application Development

AgriTech(1)

Augmented Reality(20)

Clean Tech(9)

Customer Journey(17)

Design(45)

Solar Industry(8)

User Experience(68)

Edtech(10)

Events(34)

HR Tech(3)

Interviews(10)

Life@mantra(11)

Logistics(5)

Manufacturing(1)

Strategy(18)

Testing(9)

Android(48)

Backend(32)

Dev Ops(11)

Enterprise Solution(31)

Technology Modernization(8)

Frontend(29)

iOS(43)

Javascript(15)

AI in Insurance(38)

Insurtech(66)

Product Innovation(58)

Solutions(22)

E-health(12)

HealthTech(24)

mHealth(5)

Telehealth Care(4)

Telemedicine(5)

Artificial Intelligence(149)

Bitcoin(8)

Blockchain(19)

Cognitive Computing(7)

Computer Vision(8)

Data Science(23)

FinTech(51)

Banking(7)

Intelligent Automation(27)

Machine Learning(47)

Natural Language Processing(14)

expand Menu Filters

10 Takeaways from the World InsurTech Report 2019

6 minutes, 6 seconds read

The insurance market dynamics are changing rapidly. While a connected ecosystem is the need of the time, agility and new business models are a way through. The current edition of the World InsurTech Report (WITR) emphasizes on developing synergies between Insurers and InsurTechs for the success of the future insurance marketplace. Here are 10 key takeaways from WITR 2019.

Insurance Business Process Improvements

Tech giants like Alibaba, Amazon, Apple, Facebook, and Google are entering the Insurance space with enormous customer data. Moreover, customers (nearly 30%) are responding positively to buying insurance products from BigTech firms, according to the World Insurance Report 2018. WITR proposes the following business process improvement for Insurers to remain market-fit.

#1 Partnerships with Insurtechs, Financial Institutions and Industry Players

90% of InsurTechs and 70% of Incumbents believe partnerships are crucial. And these partnerships are not confined only to the insurance sector. These can include collaboration with financial, technology, healthcare, travel, transportation, hospitality, retail, and more. 

Partnerships - world InsurTech Report 2019
The diagram illustrates the Insurance and InsurTechs’ level of willingness for partnerships – World InsurTech Report 2019

Baloise Insurance partnered with Swiss bank BLKB, and Swiss online insurance broker Anivo to develop a flexible and scalable digital insurance platform with B2C integration. The product released as Bancassurance 2.0 achieved a hit ratio of 50% for video-chat advisory sessions; more than 90% of customers rated the experience as good or very good. 

Partnerships can also bring compound insurance products, which otherwise seems impossible. For example, Swiss Re and French cybersecurity InsurTech firm OZON together, launched CyberSolution 360°. It is a risk management solution combining insurance and cyber-attack protection services for small and medium-sized enterprises.

#2 Adopting New Business Models

Not only Insurers, but also customers approve of new insurance models. For instance, 41% of customers are ready to consider usage-based insurance and 37% are willing to explore on-demand coverage. To meet the coverage gaps, offer convenience and personalization, Insurers are adopting the following new business models.

  1. Usage-based model for as-you-go coverage/premiums for a customer’s potential risky behaviour.
  2. On-demand model for cost-effective requirement-based coverage.
  3. Parametric insurance for covering uninsured risks, based on an objective-triggering event.
  4. Microinsurance services with low-premium packages.

#3 Aligning Strategies with the Future Insurance Marketplace

An insurance marketplace is a viable solution to support a broad spectrum of customer demands. It can also offer coverage for emerging risks and can deliver easy-access compound offerings from individual players of the insurance, manufacturing, and technology ecosystem.

For example, Friday, a Berlin-based startup, launched in 2017, offers digital automotive insurance with kilometre-based billing, flexible tenure, and paperless administration. With telematics support from BMW CarData, Automotive services from ATU, car-rental marketplace Drivy, and distribution channel from Friendsurance, Friday offers customer-centric insurance products.

“The insurance marketplace of the future will provide data and insights about customers that the industry never had before. This will allow firms to design a product closer to customers’ needs and, more importantly, offer them the product when they need it!”

Stephen Barnham, Asia CIO, MetLife

#4 Building an Integrated Ecosystem

As aggregators, OEMs (Original Equipment Manufacturers), policy management apps, and third parties enter the insurance value chain, an integrated insurance ecosystem can smoothen the overall functioning. 

For instance, digital integration with aggregators and third parties can broaden the Insurers’ distribution channel. Partnering with OEMs can help them with real-time customer data. Further, APIs, cloud-based storage, and blockchain can foster the insurance ecosystem with data security and transparency.

Technology Implementation Partners- World InsurTech Report 2019
An overview of digitally integrated ecosystem – World InsurTech Report 2019

#5 Being an Inventive Insurer

Inventive Insurers are the ones who have strategically updated their product portfolios, operating models, and distribution methods. They are realistic about their competencies. By identifying their distinct capabilities and partnering with other players to bridge their competency gap, Inventive Insurers can deliver an end-to-end product to the customers.

The World InsurTech Report 2019 defines the competencies of Inventive Insurers as follows –

  1. Capable of making business processes more intelligent, efficient, and effective using AI, automation, and analytics.
  2. Creating new scalable products with shorter development cycles.
  3. Enabling seamless integration with new data sources and distribution models.
  4. Offering value-added services to the customers.

Product Innovations

The tech-savvy customers are seeking easy-to-understand products with the facility of direct online purchases. Even leading Insurer like Berkshire Hathaway’s Insurance Group – BiBerk launched ‘THREE’ – only three pages long product covering workers’ compensation, liability, property, and auto to catch the pace. The drift is towards the following new insurance products.

#6 Bundling Financial and Non-financial offerings

An insurance package comprising both financial and non-financial products can expand an Insurer’s products portfolio, giving a competitive edge. It can also help in pitching new prospects. Bundling products and services will increase customer touchpoints and can help insurers identify their needs more effectively.

Bundling financial and non-financial services: World InsurTech Report 2019

For example, Homeflix insurance provides renters and homeowners insurance to its core. In addition to insurance coverage, it also offers concierge maintenance services like plumbing and electricity. The company also plans home delivery, babysitting, and cleaning services next.

#7 Tailored Products

Traditional insurance policies don’t fit today’s desire for add-on services, personalization, and flexible offerings. The World Insurance Report 2019 survey found that more than 75% of B2B customers and 85% of retail policyholders believe they’re not covered against the emerging risks.

Being aware of the need for customized products, 84% of Insurers and 80% of InsurTechs say they are focusing on “developing new offerings.”

#8 Products that Engage and Educate Customers

Gamification, video-chat sessions, and social media are promising channels for engaging with customers and educating them about risks and their need for coverage. Healthy interactions with customers through their preferred channels can boost sales.

“Insurers should focus on providing user friendly, transparent information via digital channels, allowing customers to make an informed decision. This will be critical not only for upselling, but also for attracting more new-generation customers, who are tech savvy and want to make faster product decisions.”

Jas Maggu, CEO, Galaxy.AI

Operational Improvements

For operational success- understanding customer preferences, conceptualizing new products portfolio, partnerships, and an effective go-to-market strategy is crucial. Fundamental shifts in the current operational models towards experience-driven solutions, strategic use of data, partnerships, and shared ownership of assets portray emerging trends. 

#9 Embracing Digital Agility

70% of insurers and 85% of InsurTechs believe a lack of technological readiness is a critical concern.

The more quickly Insurers implement initiatives, the closer they will be to achieve the digital maturity and hence actively participate in the connected ecosystem. The agile digital infrastructure demands real-time data gathering and analytics and automation of complex processes.

It will also lead to product agility. Insurers can offer new products at a faster pace and with reduced GTM (go-to-market) time, they can gain a competitive advantage. 

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.

#10 Automating Processes

Not only claims processing and underwriting, but much more insurance back and front-office operations can also be automated. Automation brings two-fold benefit to the insurers. One- mundane tasks are carried by machines, speeding the processes and freeing humans for sophisticated work. The other benefit lies in enhanced accuracy. 

For example, AIA Hongkong has improved claims processing time by 40% through AI-driven ICR techniques and intelligent process automation. 

Read claims automation case study: How AIA Hong Kong saves 60% through claims automation.

Deutsche Familienversicherung (DFV) provides a digital automated platform for property and supplementary health insurance. It can process the transactions in real-time enabling customers to file claims and receive feedback immediately. Moreover, policyholders can engage with the firm via several digital channels, including Amazon Alexa.

Source: World InsurTech Report 2019

InsurTech Report 2019: Summing-up

  1. Scope of business process improvements through partnerships, devising new business models, embracing insurance marketplace, building an integrated ecosystem, and being an inventive insurer.
  2. Introducing innovative products that are tailor-made and educate customers about potential risks; bundling financial and non-financial offerings.
  3. Operational improvement through automation and digital agility.

We’re AI-first products and solutions firm for the new-age digital insurer recognized among the InsurTech100 for pioneering the transformation of the global insurance industry. Drop us a line at hello@mantralabsglobal.com to know more about our offerings.

Cancel

Knowledge thats worth delivered in your inbox

Smart Machines & Smarter Humans: AI in the Manufacturing Industry

We have all witnessed Industrial Revolutions reshape manufacturing, not just once, but multiple times throughout history. Yet perhaps “revolution” isn’t quite the right word. These were transitions, careful orchestrations of human adaptation, and technological advancement. From hand production to machine tools, from steam power to assembly lines, each transition proved something remarkable: as machines evolved, human capabilities expanded rather than diminished.

Take the First Industrial Revolution, where the shift from manual production to machinery didn’t replace craftsmen, it transformed them into skilled machine operators. The steam engine didn’t eliminate jobs; it created entirely new categories of work. When chemical manufacturing processes emerged, they didn’t displace workers; they birthed manufacturing job roles. With each advancement, the workforce didn’t shrink—it evolved, adapted, and ultimately thrived.

Today, we’re witnessing another manufacturing transformation on factory floors worldwide. But unlike the mechanical transformations of the past, this one is digital, driven by artificial intelligence(AI) working alongside human expertise. Just as our predecessors didn’t simply survive the mechanical revolution but mastered it, today’s workforce isn’t being replaced by AI in manufacturing,  they’re becoming AI conductors, orchestrating a symphony of smart machines, industrial IoT (IIoT), and intelligent automation that amplify human productivity in ways the steam engine’s inventors could never have imagined.

Let’s explore how this new breed of human-AI collaboration is reshaping manufacturing, making work not just smarter, but fundamentally more human. 

Tools and Techniques Enhancing Workforce Productivity

1. Augmented Reality: Bringing Instructions to Life

AI-powered augmented reality (AR) is revolutionizing assembly lines, equipment, and maintenance on factory floors. Imagine a technician troubleshooting complex machinery while wearing AR glasses that overlay real-time instructions. Microsoft HoloLens merges physical environments with AI-driven digital overlays, providing immersive step-by-step guidance. Meanwhile, PTC Vuforia’s AR solutions offer comprehensive real-time guidance and expert support by visualizing machine components and manufacturing processes. Ford’s AI-driven AR applications of HoloLens have cut design errors and improved assembly efficiency, making smart manufacturing more precise and faster.

2. Vision-Based Quality Control: Flawless Production Lines

Identifying minute defects on fast-moving production lines is nearly impossible for the human eye, but AI-driven computer vision systems are revolutionizing quality control in manufacturing. Landing AI customizes AI defect detection models to identify irregularities unique to a factory’s production environment, while Cognex’s high-speed image recognition solutions achieve up to 99.9% defect detection accuracy. With these AI-powered quality control tools, manufacturers have reduced inspection time by 70%, improving the overall product quality without halting production lines.

3. Digital Twins: Simulating the Factory in Real Time

Digital twins—virtual replicas of physical assets are transforming real-time monitoring and operational efficiency. Siemens MindSphere provides a cloud-based AI platform that connects factory equipment for real-time data analytics and actionable insights. GE Digital’s Predix enables predictive maintenance by simulating different scenarios to identify potential failures before they happen. By leveraging AI-driven digital twins, industries have reported a 20% reduction in downtime, with the global digital twin market projected to grow at a CAGR of 61.3% by 2028

4. Human-Machine Interfaces: Intuitive Control Panels

Traditional control panels are being replaced by intuitive AI-powered human-machine interfaces (HMIs) which simplify machine operations and predictive maintenance. Rockwell Automation’s FactoryTalk uses AI analytics to provide real-time performance analytics, allowing operators to anticipate machine malfunctions and optimize operations. Schneider Electric’s EcoStruxure incorporates predictive analytics to simplify maintenance schedules and improve decision-making.

5. Generative AI: Crafting Smarter Factory Layouts

Generative AI is transforming factory layout planning by turning it into a data-driven process. Autodesk Fusion 360 Generative Design evaluates thousands of layout configurations to determine the best possible arrangement based on production constraints. This allows manufacturers to visualize and select the most efficient setup, which has led to a 40% improvement in space utilization and a 25% reduction in material waste. By simulating layouts, manufacturers can boost productivity, efficiency and worker safety.

6. Wearable AI Devices: Hands-Free Assistance

Wearable AI devices are becoming essential tools for enhancing worker safety and efficiency on the factory floor. DAQRI smart helmets provide workers with real-time information and alerts, while RealWear HMT-1 offers voice-controlled access to data and maintenance instructions. These AI-integrated wearable devices are transforming the way workers interact with machinery, boosting productivity by 20% and reducing machine downtime by 25%.

7. Conversational AI: Simplifying Operations with Voice Commands

Conversational AI is simplifying factory operations with natural language processing (NLP), allowing workers to request updates, check machine status, and adjust schedules using voice commands. IBM Watson Assistant and AWS AI services make these interactions seamless by providing real-time insights. Factories have seen a reduction in response time for operational queries thanks to these tools, with IBM Watson helping streamline machine monitoring and decision-making processes.

Conclusion: The Future of Manufacturing Is Here

Every industrial revolution has sparked the same fear, machines will take over. But history tells a different story. With every technological leap, humans haven’t been replaced; they’ve adapted, evolved, and found new ways to work smarter. AI is no different. It’s not here to take over; it’s here to assist, making factories faster, safer, and more productive than ever.

From AR-powered guidance to AI-driven quality control, the factory floor is no longer just about machinery, it’s about collaboration between human expertise and intelligent systems. And at Mantra Labs, we’re diving deep into this transformation, helping businesses unlock the true potential of AI in manufacturing.

Want to see how AI-powered Augmented Reality is revolutionizing the manufacturing industry? Stay tuned for our next blog, where we’ll explore how AI in AR is reshaping assembly, troubleshooting, and worker training—one digital overlay at a time.

Cancel

Knowledge thats worth delivered in your inbox

Loading More Posts ...
Go Top
ml floating chatbot