Category: InsurTech

How Insurance Companies Can Leverage Tech For Good When Things Feel Bad

How Insurance Companies Can Leverage Tech For Good When Things Feel Bad

Insurtech innovations have rapidly changed the industry landscape in recent years. The growing advent of digital transformation has also led to a paradigm shift in the insurance sector. After several life-changing events in the last couple of years, the world is at a crucial juncture where diverse natural, geopolitical, and cultural aspects are steadily intertwining. This is leading to something of a widespread crisis. With multiple overlapping issues, it becomes more challenging to fix them all, based on their origins and unique aspects. Rather than getting down to the brass tacks of every individual problem, businesses can focus more on making a difference by tackling what can be called the cumulative impact of such circumstances on the masses.  This is where technology has become an immense enabler for ensuring higher support and assistance in unique ways, right from delivering supplies during disasters to boosting mental health and wellness and more. Here is how an industry like insurance can also leverage technology to do more good when things do not quite feel right from a sociocultural perspective.  A Multi-Dimensional Insurance Shift  Digital transformation in the insurance sector holds the potential to do more good than ever before. The industry has always had to deal with numerous complications, including the difficulty of marketing and selling products that people may not require. Yet, due to the risk management and financial security insurance provides, suitable offerings may also promote wellness which is an oft-neglected aspect of what it can do very well.  An increasing number of health and life insurance policies are now providing wellness benefits including fitness memberships, mental health services, preventive health screenings, and a lot more. This is enabling customers to focus on their health requirements, thereby impacting their quality of life positively amidst the crisis mentioned earlier. Here are a few aspects where insurtech innovations can bring the doing good bit into the picture:  How It All Stacks Up  Insurers can do good in multifarious ways as highlighted above. They can use technology to improve customer access to necessary offerings, streamline policy purchase and issuing procedures, underwrite risks more effectively and personalize offerings. They can also ensure faster claims and engagement with customers for better experiences.  At the same time, Gamification will help them create an ecosystem where positive healthy behaviours are encouraged. Companies, however, should be careful about integrating multiple teams to take care of everything seamlessly, right from product development and sales to underwriting and more. They should create digital frameworks to implement analytics and gather customer feedback in order to come up with suitable solutions accordingly.  The eventual goal is to make insurance something of regular or everyday value to customers instead of a future safety net that is tucked away in the financial portfolio. Insurance is estimated to have assets worth $13 trillion worldwide although it does not still have the customer trust that it deserves. Studies have discovered how a whopping 68% still do not trust their insurance companies, while there is negligible delivery of value or engagement on a daily basis. Hence, there is a pressing requirement for insurance companies to scale up regular engagement with the customer base. With 70% and more of deaths resulting from chronic ailments as per reports, there is a growing need for insurance companies to prioritize tech-driven initiatives that contribute towards improving the daily well-being and lifestyles of customers. Technology is the game-changer in this case, something that can truly take the industry forward towards positively impacting more people amidst challenging and stressful times.  FAQs Technology can vastly contribute towards better agility and customer-centric approaches in the insurance industry. It can help streamline and automate repetitive procedures to ensure faster policy issuing, documentation, underwriting, claims processing, and payouts. It can also help contribute towards improved wellness through greater personalization of offerings and behavior-linked products. It can help enable value-added services for customers that enhance their overall well-being and quality of life.  Net leverage is a significant term in the insurance sector. It is the sum total of the net written premiums ratio of an insurance company and the net liability ratio. This figure helps work out the exposure of any insurance company towards errors in pricing and the estimation of claims. It is used to effectively assess the financial health of insurance companies.  Several emerging technologies hold immense potential in the insurance industry. Some of them include artificial intelligence (AI), machine learning (ML), data-driven analytics, Gamification, automation, trust architecture, IoT (Internet of Things) and more.  The insurance industry has leveraged technology for faster claims processing and underwriting along with using big data and reporting through the visualization, collection, and analysis of data. They are also tapping predictive analytics to predict customer actions and behaviours that may lead to claims. Customers are getting increasingly personalized offerings based on their health-related and other behaviours. Several value-added resources are being offered to benefit and retain customers, while automated claims processing is enhancing overall convenience greatly. These are only some of the ways in which the insurance industry is leveraging technology to drive growth. 

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Insurance News Wrap | Weekly Snippets September | INT.

✔️https://www.moneycontrol.com/news/business/tcs-extends-contract-with-life-insurance-firm-athora-netherlands-11288551.html TCS and Athora Netherlands are thrilled to announce the extension of a new partnership that will redefine the future of financial services. The partnership promises better IT operating model to enhance customer experience, operational resilience and business agility. ✔️https://www.insurancebusinessmag.com/asia/news/technology/generative-ai-to-impact-koreas-insurance-finance-sectors-457906.aspx Generative AI is set to make waves in Korea’s insurance and finance sectors. As per reports, 10.1% of tasks within Korea’s finance and insurance domains will experience alterations due to the influence of generative AI. ✔️https://www.expresscomputer.in/artificial-intelligence-ai/aditya-birla-sun-life-insurance-artivatic-ai-launches-ai-based-smart-underwriting-platform/103240/ Aditya Birla Sun Life Insurance and Artivatic.ai have joined forces to bring “AUSIS” – an AI-based Smart Underwriting Platform. The engine will merge traditional underwriting principles with advanced algorithms, and empower insurers to make informed and efficient underwriting decisions. ✔️https://indianexpress.com/article/business/companies/5g-to-insurance-mukesh-ambani-brings-new-reliance-with-tech-in-mind-8913820/ Mukesh Ambani is ushering in a ‘New Reliance’ that’s all about the fusion of technology and innovation, from 5G to insurance. 

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INT. news wrap Insurance

Insurance News Wrap | Weekly Snippets | Indus Net Technologies (INT.)

✅ Israeli AI Startup Vesttoo stirs up the hornet’s nest, sparking a global insurance scandal. https://www.livemint.com/ai/israeli-ai-startup-vesttoo-sparks-a-global-insurance-scandal-11691153264363.html ✅ Jerry accelerates its future journey with a massive $110 million funding boost that will change the face of the car insurance landscape. https://fintech.global/2023/08/03/jerrys-ai-powered-revolution-in-car-insurance-accelerates-with-110m-raise/ ✅ A dynamic partnership is born as Klear.ai – AI-driven insurance software solutions – joins forces with Georgia Administrative Services to redefine insurance solutions ✅ Innovation meets responsibility when the AI wave hits the health insurance landscape as Pennsylvania legislators step in to ensure a fair balance. https://witf.org/2023/08/23/pa-legislators-look-to-rein-in-ai-in-health-insurance-claims/

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Insurance News Wrap

Insurance News Wrap | Weekly Snippets

💡 The world of AI meets the world of policies and premiums as Gaya.ai is rewriting the insurance playbook with large language models. https://finance.yahoo.com/news/introducing-gaya-ai-bringing-power-074000638.html 💡 Vesttoo – an Israeli AI Startup is rewriting the insurance playbook as they promised to use AI to spread the risk of insurance policies. https://www.livemint.com/ai/israeli-ai-startup-vesttoo-sparks-a-global-insurance-scandal-11691153264363.html 💡 Swiss Re is unleashing the power of AI and rewriting the natural disaster recovery playbook to transform insurers’ response game.  https://www.cio.com/article/647713/swiss-re-streamlines-insurers-natural-disaster-response-with-ai.html 💡 From on-demand insurance insights to a smooth ride through policy management, AXA’s tech marvel is here to revamp the insurance landscape. https://www.insurancebusinessmag.com/asia/news/breaking-news/axa-unveils-new-tech-platform-for-driver-partners-and-business-users-454597.aspx

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Insurance News Wrap

Insurance News Wrap | Weekly Snippets

✅ From streamlining claims processing to personalised policy recommendations, insurance’s ‘first’ chief AI officer is here. https://ow.ly/8szs50Pnqs6. ✅ Cognizant and Max Life Insurance join forces to transform the insurance landscape as they jointly announce an innovation and development centre. https://ow.ly/BCtT50Pnqs2 ✅ Discover the convenience of instant policy issuance and quick claim settlements with Bajaj Allianz Life Insurance’s latest tech stack. https://ow.ly/YXiX50Pnqs4 ✅ HDFC ERGO is taking a leap forward to enhance CX and transform the insurance industry by teaming up with Google Cloud to launch a Center of Excellence for Generative AI. https://ow.ly/7stY50Pnqs3

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Insurance News Wrap

Insurance News Wrap | Weekly Snippets

✅ ZhongAn has unveiled its groundbreaking roadmap for AI and AIGC integration into the insurance industry that aims at enhancing efficiency, accuracy, and customer experience.https://technode.global/prnasia/zhongan-unveils-roadmap-for-ai-and-aigc-integration-into-insurance-sector-at-waic2023/ ✅ Trufla and Goose Digital are joining forces to drive digital innovation in the brokerage industry. This partnership will equip brokers with cutting-edge technology and strategic expertise.https://www.insurancebusinessmag.com/ca/news/technology/trufla-partners-with-goose-digital-to-drive-digital-transformation-for-brokers-452048.aspx ✅ Corvus Insurance has unlocked a new era of underwriting excellence. With advanced algorithms and predictive analytics, the tech is streamlining operations, reducing risks, and empowering insurers with invaluable insights.https://fintech.global/2023/06/30/corvus-insurance-unveils-ai-driven-automation-features-for-enhanced-underwriting-efficiency/ ✅ Sedgwick is driving innovation in the insurance industry. From smart technology to real-time data analysis, they’re staying at the forefront of industry trends to provide their end users with the best coverage and service.https://www.asiainsurancereview.com/Magazine/ReadMagazineArticle/aid/47056/Sedgwick-adapts-through-technology-driven-solutions-as-claims-process-goes-through-seismic-transformation

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InsureTech Insights: Leveraging Alternate Data for Risk Assessment

InsureTech Insights: Leveraging Alternate Data for Risk Assessment

InsureTech is the latest buzzword that is making the headlines in the insurance sector and with good reason. From suitable risk assessment using alternate data to tapping big data analytics and artificial intelligence in insurance for better outcomes in diverse arenas, insurers are expected to step on the gas further across the next couple of years in this domain. Here is a brief glimpse into the same. 1.What are the key drivers of InsureTech? These are some of the major driving forces behind the InsureTech revolution that is sweeping the world today. Let us now learn a little more about the deployment of artificial intelligence in insurance. 2. How is AI used in insurtech?  Artificial intelligence in insurance and InsureTech are symbiotically linked due to the multifarious applications and use cases that have transformed the industry in recent years. Here are a few aspects worth noting in this regard: AI is beneficial for the entire InsureTech ecosystem in multiple ways, as is mentioned above. A closer look is also necessary at the various sources or types of alternate data that insurance companies can use for better risk assessment. 3.What kind of alternate data can help towards solving the credit risk? FAQs 1.What are the privacy and ethical considerations associated with using alternate data in risk assessment for InsureTech? InsureTech players must address privacy, ethics, and data validity when using alternate data. Key considerations include responsible data collection and usage, obtaining consent, ensuring analytical tool validity, fairness, and unbiased systems, data quality, regulatory compliance, and full disclosure principles. 2.Are there any successful case studies or real-world examples of InsureTech companies leveraging alternate data for risk assessment? There are many examples of InsureTech entities making use of alternate data for risk assessments. ZestFinance, for instance, deploys AI for evaluating both traditional and non-traditional information to gauge risks while automating its underwriting procedure for lower risks. Nauto has already been using AI for forecasting purposes. The aim here is to avoid collisions of commercial fleets (driverless) by lowering distracted driving. The AI system uses data from the vehicle, camera, and other sources to predict risky behavior. 3. What future trends do you foresee in the use of alternate data for risk assessment in the InsureTech industry? There will be greater emphasis on leveraging telematics and usage data garnered through connected vehicles and IoT devices along with smart home devices. At the same time, more machine learning models will be used for algorithm-based risk assessments. The Metaverse will be another channel for insurers to combine their AI-backed Chatbots with sales pitches, internal training, data gathering, and even NFTs for personal document verification. 4. Are there any challenges or limitations in leveraging alternate data for risk assessment in InsureTech? There are a few limitations/challenges in using alternate data for assessing risks in the InsureTech space. The quality of the data and whether it tells the whole story is one challenge along with the fact that there are ethical and privacy-related considerations, regulatory aspects, and the issues related to disclosures, user consent, and the methods of gathering data.

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Smart Insurance: Exploring Blockchain and AI Integration

Smart Insurance: Exploring Blockchain and AI Integration

Smart insurance has increasingly become representative of the evolutionary headwinds in the industry. Digital transformation has been a key feature of the sector for the last few years, especially with the integration of AI insurance and blockchain insurance technologies. Insurtech is no longer an exception as well. These digital advancements are boosting customer experiences while enabling better risk management, claims processing and fraud detection at the same time. Insurers are completely redefining consumer engagement, while moving towards greater personalisation simultaneously. A McKinsey report estimates that 25% of the insurance sector will be fully automated by the year 2025, backed by AI, ML and blockchain, among other technologies. Here’s taking a deeper look at the same. How Blockchain and AI are Changing the Insurance Industry AI insurance technologies are completely revolutionising the landscape. The same can be said for blockchain insurance solutions. Here are some core points worth noting in this regard. The Benefits of Blockchain and AI for Insurance As expected, there are multifarious advantages offered by AI and blockchain in the insurance industry. Some of them include the following:  The Future of Smart Insurance What does smart insurance look like in the future? Here are some ways in which digital transformation can completely reshape the insurance industry: FAQs 1.What role does artificial intelligence play in smart insurance? Artificial intelligence has a vital role to play in smart insurance, automating repetitive tasks including claims submissions, processing, and more. It also helps detect fraud, assess risks, and enhance customer experiences through Chatbot-based communication. 2.What are some real-world examples of smart insurance applications using blockchain and AI? Some real-world examples include micro-insurance, parametric insurance models, usage-based insurance, fraud detection, data structuring through Blockchain and IoT and also multiple risk participation or reinsurance. 3.Are there any challenges or limitations to consider when implementing blockchain and AI in smart insurance? Blockchain networks may require higher computational capabilities for transaction validation. Other challenges for AI and blockchain implementation include data quality, digital adoption, integration of legacy systems, and more. 4.How does the integration of blockchain and AI in insurance impact customer experience? Customer experiences are automatically enhanced through the integration of blockchain and AI. Their information remains tamper-proof and secure, while they can swiftly be onboarded and file/process claims without hassles. They can get quicker automated responses to queries along with personalised recommendations. Claims processing timelines are also greatly reduced due to these technologies.

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Empowering insurance contact centres with Chat GPT 4

Empowering insurance contact centres with Chat GPT 4

Chat GPT 4 is increasingly rewriting the rules of the game across sectors. Insurance contact centres are no stranger to leveraging technology for better customer service and communications. Here is a brief guide on leveraging Chat GPT 4 for insurance contact centres. What is Chat GPT 4 used for? Chat GPT 4 is clearly the customer service agent or solution of the future. Here are some ways in which it is being used: These are some of the ways in which Chat GPT 4 is being used, especially across insurance contact centres and other customer service functions throughout diverse business sectors. What are the 5 key challenges facing the insurance industry in today’s marketplace? These are some of the biggest challenges faced by insurance companies today, many of which can be solved with the use of Chat GPT 4 in their contact centres. What are the 4 elements of contact centres? This is where Chat GPT 4 helps businesses automate all communications and personalise customer interactions. It helps take care of queries swiftly, while helping manage and track claims better. It also helps with lowering time, money and energy expenditure for companies with regard to customer engagement and interactions. From detailed answers to customer queries to more personalised experiences, it plays a vital role in enhancing customer satisfaction while helping insurance companies acquire and retain customers better. Data collection and analysis can also be automated with the help of artificial intelligence for even better results. FAQs 1.How can Chat GPT 4 enhance the customer experience in insurance contact centres? Chat GPT 4 can play a vital role in boosting customer experiences across insurance contact centres by enabling quicker answers and responses to queries, enabling more personalised engagement and automating all communications. 2.Can Chat GPT 4 assist in identifying customer needs and preferences for personalised insurance solutions? Chat GPT 4 can personalise interactions with consumers, understanding their needs and responding in detail to their queries and requirements. It can help insurance companies identify customer preferences and come up with personalised recommendations accordingly. 3.Is Chat GPT 4 capable of handling complex insurance inquiries and providing accurate responses? Chat GPT 4 can tackle increasingly complex inquiries and offer more accurate responses to customers with natural language processing (NLP) and AI. It can guide customers towards what they require more easily. 4.Are there any specific security measures in place to protect sensitive customer information when using Chat GPT 4? Chat GPT 4 makes use of encryption for preventing unauthorised access to data. This helps safeguard customer information of a sensitive nature.

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Customer Dashboard in Insurance Sector

Revolutionising Customer Experience: Exploring the Benefits of 360 Customer Dashboard in Insurance Sector

Customer experience is the biggest buzzword today for the insurance sector in an increasingly digitised environment where hyper-personalisation is steadily becoming the norm and not the exception. In this context, a 360 customer dashboard is fast becoming a necessity for insurance companies. Why so? Before getting into the modalities and benefits of a 360 customer dashboard, it can be said that it can be a multi-pronged tool, enabling higher customer satisfaction as a result of better experiences, while enabling insurance companies to gather vital business intelligence alongside. How and why a 360 customer dashboard is useful for the insurance sector Here are some of the biggest benefits enabled by a 360 customer dashboard: FAQs A 360 customer dashboard can collect information on customer buying preferences, historical transactions, feedback, future requirements, and so on. It can collect data across multiple touch points. A 360 customer dashboard will help insurance companies analyse historical customer data and purchasing behaviour. This will ultimately help it identify customer needs and insights on their sentiments and feedback. This data can be leverage to forecast future needs. Some potential limitations include the lack of technological integration with existing databases, absence of digital literacy or familiarity with advanced tools, data security/privacy, and most importantly, the quality of data being gathered. DLP or data loss prevention measures are mostly used for safeguarding consumer data that is shown in a 360 dashboard. Other measures also include data encryption for higher security.

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