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“To err is human, to forgive, divine.”

This famous quote by Alexander Pope captures the essence of human fallibility—a quality that, for centuries, has influenced our decisions, actions, and the systems we create.

Yet, in the age of Artificial Intelligence (AI), where machines take on roles once reserved for human judgment, the notion of error takes on new dimensions. AI, with its promise of precision and efficiency, is not immune to mistakes, nor is it free from the biases and ethical dilemmas that arise from its very design.

These days, artificial intelligence finds use in many fields, including insurance. From redefining underwriting practices to streamlining claims processing and enhancing policy administration, insurance companies have utilized – and will continue to utilize – AI in their operations.

Biases

Humans are inherently flawed but that’s actually a good thing. AIs on the other hand are designed to be perfect. Perfect isn’t necessarily good.

One instance is when AI doesn’t consider all relevant information when making a decision. AI systems are usually trained on vast sums of historical data. While it wholly makes use of this, this can lead to overgeneralization and the perpetuation of existing biases.

Consider the example of an Applicant Tracking System (ATS) powered by Artificial Intelligence designed to screen job applicants. The AI, trained on historical data, might perfectly match candidates to past successful hires, leading to a biased selection process. If the historical data reflects past biases, like favoring certain demographics, the AI could end up perpetuating those biases without considering a candidate’s potential to break new ground or bring fresh perspectives.

Here, the AI’s “perfect” decision-making is flawed because it lacks the human ability to see beyond data and recognize the value of diversity and innovation.

Privacy and consent

Data privacy is also another issue that sees lawmakers at odds with several tech firms.

Cerebral, a telehealth Insurtech was fined over $7 million over reports that it revealed user’s personal information to third parties while recently T-Mobile was fined over $60 million for a data breach that exposed sensitive customer information during its merger with Sprint back in 2020.

When Artificial Intelligence systems are trained on or use improperly secured data, it not only breaches privacy but also erodes customer trust in the provider. These concerns are further compounded by not knowing how AI systems are trained or where their data comes from.

Companies often provide vague statements, such as “general public information” or, even worse, “from the internet,” without clearly disclosing how the data is collected or how it will be used.

Lack of accountability

Determining who is accountable when Artificial Intelligence systems make errors or cause harm is a challenging ethical issue.

When an AI-driven decision in insurance leads to an adverse outcome – such as the denial of a legitimate claim or the inappropriate cancellation of a policy – who should be held responsible? Is it the insurer, the AI developer, or the data provider?

A similar conundrum was observed during the CrowdStrike Saga last month.

Imagine an AI system that incorrectly flags a life insurance policyholder as deceased, leading to the wrongful termination of their policy. In such cases, the affected individual might face significant difficulties in restoring their coverage. The question of accountability becomes murky—should the insurance company take full responsibility, or should the blame be shared with the AI developer who provided the flawed algorithm?

Impact on employment

The integration of AI into insurance operations is also reshaping the job market, albeit negatively.

Roles traditionally held by underwriters, claims adjusters, and customer service representatives are progressively being automated, leading to job displacement.

Where do we draw the line between maximizing profits and preserving the livelihoods of those whose jobs are at risk?

Back in October last year, GEICO laid off 2000 of its employees, which accounted for a 6% reduction in its workforce.

“This would allow the company to become more dynamic, agile, and streamline its processes while still serving its customers,” the company memo from CEO Todd Combs stated.

Bottom line

As Artificial Intelligence becomes more entrenched in the insurance industry, the ethical issues surrounding its use demand careful consideration.

Today, AI’s precision and efficiency are very much celebrated. However, it’s crucial to remember that perfection, while desirable, is not always the goal. The flaws present in human judgment – while often seen as imperfections – contribute to creativity, empathy, and the nuanced decision-making that machines struggle to replicate.

The quest for flawless technology must be balanced with the recognition that human fallibility brings valuable perspectives and innovation. The future of insurance, and many industries, will hinge not only on the capabilities of Artificial Intelligence but also on our ability to address these ethical challenges with integrity and foresight.

The insurance process was once sluggish and paper-based. But things have altered in recent years. Technology has transformed countless industries, and insurance is no exception. Today, the sector is going even further. A new breed of insurers is emerging – digital-only companies promising speed, convenience, and lower costs. These startups challenge traditional insurance giants by operating entirely online. But can they deliver on their promises? Are these digital-only insurance companies the future, or just a flash in the pan? Let’s get into it.

The rise of digital-only insurance

Over the last decade, we’ve seen a steady rise in online-only insurance companies. It used to be that everyone would choose from a select few familiar insurance companies, but today the picture couldn’t be more different. Whether it’s auto, home, or even pet insurance, the options available to consumers have exploded. This increased competition has led to a more dynamic marketplace with a wider range of policies and prices to choose from. But how did we get here? Several factors contribute to this trend of more insurance providers, particularly more online-only insurers.

Firstly, the modern consumer is increasingly tech-savvy and demands quick, convenient services. Digital-only insurers cater to this demographic by providing seamless online experiences, from obtaining quotes to filing claims. This aligns perfectly with the expectations of a generation accustomed to digital interactions in other areas of their lives.

Secondly, technological advancements have significantly reduced the barriers to entry for new insurance players. Advances in artificial intelligence, big data, and cloud computing have created powerful tools, reducing the need for large teams of specialists and lowering the overall cost of building and running an insurance business. In the past, building an insurance company required significant capital investment in physical infrastructure, such as offices, claims processing centers, and a large workforce. Not today. Cloud computing allows insurance companies to operate without the overhead of maintaining physical data centers, while artificial intelligence can automate many routine tasks, such as claims processing and customer service inquiries.

Economic pressures also play a role in the rise of digital-only insurance. Traditional insurers often grapple with rising operational costs and claims expenses. In contrast, digital-only models tend to have lower overhead, allowing them to offer more competitive premiums. This cost advantage has attracted a growing customer base.

So that’s why we see more online-only insurers, but what benefits do they offer, exactly?

Benefits of digital-only insurance

Digital-only insurance companies offer a new approach to buying insurance. These online-only providers claim several advantages.

  • Lower costs: No longer burdened by the costs of physical branches and large staff numbers, digital insurers may be able to offer more competitive premiums. With lower overheads, they can pass some of those savings on to the customer.
  • Speed and efficiency: Quicker quotes, policy purchases, and claims processing are often touted benefits of digital platforms, saving customers time. As to why – digital platforms usually eliminate paperwork and manual data entry and aren’t held back by legacy systems, like many traditional insurers.
  • Improved customer experience: Many focus on providing a seamless online experience with features like 24/7 access and mobile apps. Intuitive interfaces and user-friendly design make it easy for customers to manage their policies. This includes updating information, renewing policies, and tracking claims status.
  • Data utilization: Digital insurers can leverage data to understand customers better and potentially offer more relevant products.
  • Flexibility: Digital insurance platforms often offer flexible payment options, allowing customers to pay premiums monthly, quarterly, or annually, and to choose from a wide range of coverage levels.

Drawbacks of digital-only insurance

While digital-only insurers offer certain advantages, there are also potential drawbacks to consider.

  • Limited human interaction: Not all insurance queries are straightforward, and sometimes it’s easier to speak to a real human to sort out the problem. This is often more difficult with only online providers, and sometimes it’s almost impossible.
  • Technological reliance: Digital insurers are heavily dependent on technology. System failures or cyberattacks can disrupt services, leaving customers without coverage or facing delays.
  • Data privacy concerns: Handling sensitive personal and financial information online carries risks. Customers must trust that digital insurers have robust security measures in place to protect their data. With many of these companies being start-ups, they may not have the longevity or maturity to know how to handle data securely.
  • Lack of physical presence: Without physical offices, customers may find it inconvenient to handle certain matters, such as inspecting damaged property or discussing complex insurance needs in person. This can be a real problem if the insurance company disputes digital evidence (photos) but won’t allow another avenue of verification.
  • Potential for algorithm bias: Some decision-making processes, like underwriting or claims assessment, may rely on algorithms. There’s a risk of bias in these algorithms, leading to unfair outcomes for customers.

Will digital-only insurers replace traditional insurers?

Digital insurance companies are changing how we buy insurance, but they probably won’t completely replace traditional insurers. Instead, they are forcing incumbents to adapt and evolve.

Traditional insurance companies possess several inherent advantages. Their established brand reputation, extensive customer base, and deep financial reserves provide a solid foundation. Additionally, complex insurance products often require in-person consultation and personalized service, areas where traditional insurers excel. Many customers are always going to prefer the security that comes with a well-established company, especially when dealing with potentially large financial risks. These customers will choose an insurer with real humans they can speak to, even if it means paying more.

However, the pressure to compete with digital-only rivals is driving significant changes. Traditional insurers are investing heavily in technology to improve customer experience and efficiency. Online quoting tools, streamlined claims processes, and 24/7 customer support through chatbots are becoming commonplace. Moreover, many are developing hybrid models that combine the best of both worlds, offering digital convenience alongside the option for face-to-face interactions.  

Here’s the bottom line. While digital-only insurers are reshaping the insurance landscape, the industry is not a zero-sum game. Traditional insurers, by embracing digital transformation and leveraging their strengths, can coexist and thrive alongside their digital counterparts. The future of insurance lies in a hybrid model that caters to the diverse needs and preferences of customers.

Today, you can have a doctor’s appointment, receive medical advice, and even get prescribed medication—all from the comfort of your home. Telehealth, once primarily used to serve rural and underserved populations, has now become an essential part of modern healthcare.

The COVID-19 pandemic, which saw much of the population under quarantine, along with consumer demand and rapid technological advancements, has accelerated the adoption of remote diagnosis and treatment. What was once considered a temporary solution is now the new standard in healthcare delivery.

This shift is transforming the healthcare landscape, influencing not only patient experiences but also how health insurance integrates with emerging technologies.

Let’s explore the growing role of telehealth and what it means for the future of health services.

What is Telehealth?

Telehealth is harnessing modern technology to deliver healthcare services remotely, fundamentally changing the way patients interact with healthcare providers. This approach includes a wide range of services, from virtual consultations and diagnostics to continuous monitoring.

In the past, telehealth was primarily targeted at those in remote locations—people who were out of the physical reach of hospitals and healthcare centers.

However, that’s not the case anymore.

Advances in technologies like Virtual Reality, 5G, and IoT-enabled devices like smartwatches have made it easier than ever to offer healthcare to anyone and everyone, right from the comfort of their home.

This convenience has broadened telehealth’s appeal, making it accessible to anyone, even healthy individuals who want to manage their health proactively.

Components of Telehealth

Telehealth comprises various elements that work together to create an integrated and seamless healthcare experience:

  • Video conferencing: Enables real-time, face-to-face interactions between patients and healthcare providers.
  • Remote monitoring systems: Allows continuous tracking of a patient’s vital signs and health metrics from a distance.
  • Telehealth applications: Provide patients access to medical advice, appointment scheduling, and prescription refills via smartphones or computers.
  • Digital communication platforms: Tools like secure messaging and email facilitate ongoing communication between patients and providers ensuring that care is continuous and responsive.

Together, these components bridge the gap between patients and healthcare providers, eliminating the need for physical presence. At the same time, this also maintains the quality and effectiveness of care.

Notable examples

As telehealth gains traction, several healthcare and insurance companies in the U.S. are leading the way by incorporating these services into their operations:

 1. Amwell

Amwell partners with healthcare providers and insurance companies to offer telehealth solutions. Large health systems, like the Cleveland Clinic, use Amwell’s platform to reach patients who may not be able to visit in person.

This approach improves patient access to care and helps manage healthcare costs by reducing the need for in-person visits and hospital admissions.

 2. Anthem Blue Cross Blue Shield

Anthem has integrated telehealth services into its health plans, giving members access to virtual care for non-emergency conditions.

Through partnerships with companies like LiveHealth Online, Anthem offers 24/7 consultations with doctors, prescriptions, and regular virtual check-ins to manage ongoing health conditions.

 3. Cigna

Cigna has introduced a virtual-first health plan that prioritizes telehealth visits as the initial point of care. This plan aims to reduce unnecessary in-person visits and provide members with a more convenient and cost-effective way to manage their health.

Cigna’s approach enhances patient engagement and improves health outcomes through the use of digital health tools and remote consultations.

 4. Oscar Health

Oscar Health, a health insurtech, has integrated telehealth into its core offerings. Members can schedule virtual visits directly through its app.

Oscar’s model caters to a tech-savvy population that prefers digital interactions over traditional healthcare models, emphasizing ease of use and accessibility.

To sum it up

The integration of telehealth into healthcare delivery isn’t just a trend; it’s a crucial part of modern medical practice.

By enhancing accessibility and efficiency, telehealth is revolutionizing how we receive and manage healthcare, establishing itself as a cornerstone of future health services.

Looking ahead, emerging technologies may bring even more practical applications to healthcare. For example, drones could simplify the delivery of prescribed medications directly to patients’ homes, while artificial intelligence, combined with advanced analytics, could be used to analyze viral strains and recommend effective treatments.

The recent CrowdStrike saga has shown that even the most reliable and widely used products can be prone to vulnerabilities.

This incident has sent ripples across various industries, including the insurance sector. Parametrix, a leading cloud monitoring expert, estimates losses by companies between $540 million to upwards of $1.4 billion, but only up to 20% may be recovered by businesses through cyber insurance. Planes were grounded, surgeries were halted, and emergency services became non-responsive.

While the loss figure doesn’t include Microsoft itself, CrowdStrike lost nearly $11 billion in market value almost overnight.

What really happened?

CrowdStrike, a leading cybersecurity firm from Austin, Texas, found itself at the center of controversy when a routine software update led to a catastrophic failure.

On July 19th, 2024, a configuration update for CrowdStrike’s Falcon software aimed at Microsoft Windows systems caused a major “logic error.”.

This error, stemming from a coding bug, resulted in millions of users encountering the “Blue Screen of Death,” leading to massive disruption across various sectors from healthcare, aviation, banking, and even emergency services.

In layman terms, a faulty Windows update led to over 6,500 flight cancellations and critical services disruptions.

CrowdStrike’s shares plummeted, with the stock closing at $256.16 on Friday, July 26th, down from $343 on July 18th before the issue arose. As of last Friday, the shares stood at $217.89.

Though logic errors are not something new, the devastating outcome was brought about by insufficient quality assurance and control of the software update. Simply put, there was not enough testing of the patch in various environments before it was released.

The role of cyber insurance

Cyber insurance has emerged as a critical tool for managing the risks associated with cyber threats. By providing coverage for financial losses resulting from data breaches, cyber-attacks, and other cybersecurity incidents, cyber insurance helps businesses recover and mitigate the impact of such events.

For insurance companies, offering cyber insurance policies is both a strategic move and a responsibility.

As the demand for cyber insurance continues to grow, insurers must develop comprehensive policies that address the evolving nature of cyber threats. This coverage provides compensation for costs related to business interruption, data recovery, legal fees, and even reputational damage.

Insurance companies must also consider partnering with reputable cybersecurity firms to ensure their systems are protected against the latest threats. These partnerships can provide access to cutting-edge technologies and expertise, helping to safeguard sensitive data which also maintains customer trust.

To stay ahead of the curve, advanced tech like artificial intelligence (AI) and machine learning (ML) can be leveraged. AI and ML can boost threat detection and response by quickly analyzing large volumes of data to spot unusual patterns and alert us to potential security breaches in real-time. This proactive approach allows insurance companies to respond swiftly to threats before they strike.

No accountability?

The CrowdStrike saga serves as a stark reminder that even the most trusted systems can be vulnerable.

Microsoft, one of the most reputable and valued companies for decades, fell prey to a faulty security update that rendered over 8 million of its machines useless.

Despite this, no accountability or disciplinary measures have been taken by either software company. For a disaster of this magnitude, product manufacturers like smartphone makers, food producers, and others would have faced significant fines.

Back in 2016, during the Galaxy Note 7 battery overheating fiasco, Samsung was not directly fined for the incident. However, the company lost over $5 billion in potential profits, along with a huge damage to its reputation. The amount was significant enough that Samsung began implementing an 8-Point Battery Safety Check, an improved and extensive quality assurance and control test for its batteries.

Earlier this year, Apple was fined $1.95 billion for violating anti-competition laws related to music streaming. Although Apple’s actions were intentional, this does not excuse the negligence exhibited last month by CrowdStrike and Microsoft.

While the fine print may protect CrowdStrike from liability in lawsuits brought by Delta, small businesses, and even some of the startup’s shareholders, regulatory authorities must take compliance action to prevent future oversight by other companies.

Thomas Parenty, a cybersecurity consultant and former U.S. National Security Agency analyst, summed up this ignorance perfectly:

“Until software companies have to pay a price for faulty products, we will be no safer tomorrow than we are today.”

Now, we should ask ourselves: How much did CrowdStrike really lose, and is that amount significant enough to deter it and other software companies from future negligent practices?

Climate change, with its intensifying storms, rising sea levels, and unpredictable weather patterns, is dramatically reshaping the risk landscape. It means higher premiums for property owners in flood zones, increased coverage exclusions in regions susceptible to wildfires, and more frequent and severe payout triggers for weather-related insurance claims. And that’s just home insurance. For car insurance, climate change could lead to higher rates due to increased weather-related accidents, more costly repairs, and greater total losses in areas prone to flooding or severe storms.

In short, as the frequency and severity of climate-related disruptions surge, the insurance sector finds itself at a pivotal moment. Will insurance carriers be able to keep pace with these accelerating risks? And most importantly, how can technology be harnessed to pave the way for a sustainable future?

Consumers want eco-friendly products

There’s a strong consumer appetite for environmentally friendly products and services. For example, a recent Solera survey of 10,000 drivers and 500 claims experts found a significant interest in ESG considerations within the car insurance sector. This aligns with broader consumer trends. The World Economic Forum reports that 65% of consumers try to make purchasing decisions that contribute to a healthier planet.

However, widespread accusations of ‘greenwashing’, where a company makes a product appear more environmentally friendly than it is, have eroded consumer trust in these schemes. Greenwashing can come in many forms. Some common examples include advertising a product as “recyclable” when it’s not widely accepted for recycling or claiming to be carbon-neutral without providing clear evidence of their offsetting efforts.

In other words, to succeed insurers must demonstrate genuine commitment to sustainability through tangible actions, not just marketing rhetoric. And one way to do this is through technology that’s proven to work. Let’s look at some of these technologies.

Telematics & Usage-Based Insurance (UBI)

Insurers are using devices that monitor driving behavior to encourage safer, more efficient driving habits. This not only helps in reducing accidents but also lowers carbon emissions, as smoother driving leads to less fuel consumption. Policyholders can benefit from lower premiums by demonstrating safe driving habits, thereby promoting environmentally friendly behavior.

Additionally, insurers can leverage data to inform customers about vehicle emissions. By analyzing vehicle data, insurers can identify models with lower emissions and offer incentives like premium discounts to encourage policyholders to choose greener options. Essentially, insurers can help support the transition to a more sustainable transportation sector.

Smart home technologies

Increasingly, we’re seeing insurers partnering with smart home technology providers. These technologies can help reduce risks and promote better sustainability practices. For example, smart thermostats can adjust heating and cooling based on usage patterns and weather forecasts, reducing energy consumption. Smart sensors can detect leaks or electrical faults that could lead to more severe damage if left unattended, thus preventing waste and promoting sustainability.

AI & Machine Learning for risk assessment

Advanced algorithms are revolutionizing risk assessment in the insurance industry. By analyzing vast amounts of environmental, climatological, and socio-economic data, AI can predict natural disasters with greater accuracy, enabling insurers to proactively manage risks associated with climate change. This includes designing insurance products that encourage building in safer, more sustainable locations and offering incentives for climate-resilient property modifications.

AI can also assess individual risk profiles with unprecedented precision. By analyzing driving patterns, claims history, and telematics data, insurers can identify low-risk drivers and reward them with lower premiums, fostering a culture of safe and environmentally conscious behavior. This data-driven approach also means insurers can develop products tailored to specific customer segments, such as electric vehicle owners or those living in high-risk areas.

However, as is always the case with AI, insurers need to proceed with caution. AI algorithms can contain bias and sometimes exacerbate existing inequalities. This is a big topic in itself, but to touch on it briefly here – insurers need to ensure they’re not punishing people living in high-risk areas who can’t relocate.

Blockchain for transparency & efficiency

Insurers can leverage blockchain to create more transparent and efficient processes in insurance. Blockchain sounds complicated, but at its core, it’s simply a decentralized and immutable database. This means fraud becomes almost impossible and insurers can more easily and reliably go paperless.

Blockchains can be used for all sorts of things. For example, initial policy issuance can be streamlined, with smart contracts automatically generating policies based on customer inputs. Claims processing can be accelerated, with blockchain providing an irrefutable record of events and reducing the time it takes to verify information. Even reinsurance processes can be simplified, as blockchain allows for secure and transparent sharing of data among multiple parties.

Green building incentives

Some insurance companies offer reduced premiums for buildings that meet certain environmental standards or use sustainable materials and technologies. For example, an insurer might provide discounts to homeowners with energy-efficient appliances, solar panels, or green roofs. These structures are often more resilient to natural disasters such as hurricanes and wildfires, resulting in fewer claims and lower overall costs for the insurance company. By incentivizing sustainable building practices, insurers can help promote a greener built environment while also benefiting their bottom line.

Additionally, some insurers offer premium reductions for buildings certified by green building rating systems like LEED or BREEAM. These certifications provide a standardized measure of a building’s environmental performance, allowing insurers to assess risk more accurately and offer appropriate incentives.

Investing in green technologies

Insurers are increasingly investing in renewable energy projects and green technologies as part of their asset management strategies. This helps in offsetting the carbon footprint of the companies themselves and supports wider industry shifts towards sustainability.

Final thoughts

Technology impacts almost every facet of our modern lives, and the insurance sector is no exception. Technology is now a necessity for the insurance sector. By harnessing the power of data and automation, insurers can mitigate climate risks, drive sustainable behaviors, and offer products that align with consumer values. The future of insurance is green, and technology is the key to unlocking its potential.

In an earlier article, we looked at how Augmented Reality (AR) and Virtual Reality (VR) are impacting the insurance industry. VR places users within a digitally simulated environment, while AR overlays digital information onto the real world, enhancing users’ perception and interaction with their surroundings.

Digital Twins take this a step further by creating digital replicas of objects and systems, enabling insurers to make precise predictions about these objects.

These predictions enhance insurance functions from risk assessment, distribution and marketing, to claims settlement and more.

What are digital twins?

Digital twins, which are virtual replicas of physical objects, systems, or processes, are revolutionizing the insurance industry. They use real-time data, advanced modeling, and simulations to create dynamic digital counterparts of real-world entities.

This allows insurers to gain deeper insights into risk management, asset monitoring, and customer behavior, driving more informed decision-making and enhancing operational efficiency.

Insurance is inherently data centric. Traditionally, insurers relied on historical data to assess risks and set premiums. However, the advent of digital twins offers a transformative shift.

By simulating various scenarios, from everyday incidents to rare disasters, insurers can predict and evaluate risks more accurately. This proactive approach enables better preparedness and response strategies, ultimately benefiting both the insurer and the insured.

How digital twins transform the insurance sector

The integration of digital twins and the Internet of Things (IoT) is propelling the insurance sector toward a new paradigm. Traditional insurance models, which focus on compensating for damages, are evolving into assurance models that emphasize risk prevention and mitigation.

Real-time risk mitigation

Digital twins, combined with IoT, enable continuous monitoring of assets and environments. For example, consider a cargo ship equipped with IoT sensors. If a digital twin detects an approaching storm, it can simulate the impact on the ship and suggest optimal actions, like altering the route.

This proactive measure prevents potential damage and reduces the likelihood of claims.

Enhanced customer expectations

Customers now expect insurance companies to adopt technological advancements swiftly. Digital twins facilitate this by providing more personalized and efficient services. For instance, smart homes and connected vehicles generate vast amounts of data that can be fed into digital twins.

With this data, digital twins can predict and prevent potential issues like poor conditions and bad weather that could lead to road accidents. This enhances customer satisfaction and loyalty.

Organizational efficiency

Insurance companies can also create digital replicas of their operations, known as Digital Twins of Organizations (DTOs). DTOs simulate internal processes, predict client behavior, and optimize workflows, leading to improved efficiency and better service delivery.

Examples of digital twins in insurance

Let’s look at some real-world examples of how digital twins are being used in the insurance industry:

  • State Farm Ventures: A subsidiary of State Farm, has invested in the computer vision startup Nexar. Nexar uses a vast network of dash cameras to collect and contextualize trillions of images using AI, creating a digital twin of US roads and their surroundings. This AI digital twin platform provides cities, transportation departments, and automotive and insurance companies with real-time updates regarding work zones, road signs, road markings, potholes, and other elements related to road safety.
  • Cerebri AI: This startup focuses on seamless integration, handling raw data and engineered features to create model-ready datasets in real-time, and scoring Key Performance Indicators (KPIs) and actions almost instantly.
  • Donan Engineering: With a dedicated flood team that monitors catastrophic weather events in real-time, Donan Engineering ensures quick and efficient mobilization of resources and personnel when needed.

Bottom line

Digital twins are transforming the insurance industry by enabling more accurate risk assessment, enhancing claims processing, and improving fraud detection.

By leveraging real-time data and advanced simulations, insurers can provide more personalized services through precise customer profiles, better manage risks, and improve operational efficiency.

 

Previously, we explored the evolution of the insurance distribution model from traditional standalone products to the embedded model we see today.

Insurance is no longer driven solely by physical agents and incessant spam. Cold calling is outdated and now gives the industry a negative image.

We discussed how insurtechs and consumer brands partner to offer insurance products seamlessly alongside primary purchases, enhancing convenience and relevance for customers.

While this approach simplifies the insurance process, ensures timely coverage, and introduces innovative products like on-demand ride-sharing insurance and event ticket insurance, it also faces challenges such as scalability, regulatory compliance, and data security.

Building on this foundation, lets now delve into how advanced technologies are further transforming embedded insurance

 1. Artificial Intelligence and Machine Learning

AI and ML enable real-time data analysis and predictive modeling, revolutionizing how insurance products are offered. These technologies can sift through vast datasets to identify when a customer might need insurance and what type would be appropriate.

For instance, AI and chatbots from Allianz can suggest travel insurance now of flight booking while others offer extended warranties for new electronic purchases.

Impact: This predictive capability ensures that insurance offers are timely and pertinent, increasing purchase likelihood and enhancing customer satisfaction.

 2. Blockchain technology

Blockchain offers a secure and transparent way to handle insurance contracts and claims through smart contracts—self-executing contracts with terms directly embedded in code.

This technology automates underwriting and even the claims process, which reduces the need for insurance intermediaries like agents and brokers.

Impact: Blockchain enhances trust and transparency while cutting administrative costs and mitigating fraud, which ensures that customers can confidently make their insurance purchases through digital channels without needing assistance

 3. Internet of Things (IoT)

IoT devices gather real-time data that can be leveraged to offer personalized insurance products. For example, telematics in cars can monitor driving behavior, providing real-time insurance quotes based on driving patterns. Likewise, smart home devices can offer data on home security, leading to customized home insurance policies.

Impact: IoT enables highly personalized and dynamic insurance offerings, aligning premiums with actual risk and usage, making insurance fairer and more efficient. This is particularly useful for embedded insurance since it allows for innovative solutions such as travel insurance customized to the actual travel distance or trip insurance per ride.

 4. Cloud computing

Cloud computing supports the scalable and flexible delivery of insurance products. It allows insurers to manage large volumes of data and provide real-time processing capabilities, crucial for the seamless integration required in embedded insurance.

Impact: Cloud computing facilitates the rapid deployment and scaling of embedded insurance solutions, ensuring they can handle high transaction volumes efficiently.

 5. Advanced analytics

Advanced analytics helps insurers understand customer behavior and preferences at a granular level. By analyzing purchasing patterns, insurers can pinpoint the optimal times to offer insurance products, ensuring relevance and value for the customer.

Impact: Advanced analytics drives efficiency in marketing and sales strategies, leading to higher conversion rates and an improved customer experience.

According to a study by McKinsey & Company, companies that leverage advanced analytics in their marketing and sales strategies report improved customer satisfaction scores, with an average increase of 15-20%.

An increase in margin of more than 10% is always good news for an insurance business, especially given that many premiums are offset by fewer claims.

Future prospects

Ernst & Young (EY) predicts that more than 30% of all insurance transactions will take place within embedded distribution channels by 2028.

As these technologies evolve, they will enable more sophisticated and personalized insurance offerings. Ongoing advancements will also spur new business models and partnerships, reshaping the insurance industry landscape.

A concerning 73% of owners of small businesses reported cyberattacks in the previous year. Small and mid-size businesses (SMBs) are the target of approximately 43% of cyberattacks. What’s even more alarming is that only roughly 50% of SMBs have cyber insurance policies or coverage because it’s an additional cost that many cannot afford.

SMBs are more vulnerable since they lack the means to protect themselves effectively. Consequently, no one is “too small” for today’s cybercriminals. Nevertheless, even with constrained resources, SMBs may significantly strengthen their cybersecurity posture by combining efficient change management with artificial intelligence (AI), the most talked-about emergent technology available.

SMBs’ cybersecurity weakness: The pitfall of overvaluing compliance

Although it’s not always the case, many SMBs assume they are secure if they follow industry laws. Cybercriminals target different access points and data kinds during a breach, for instance, even though Payment Card Industry (PCI) compliance is a crucial tool to ensure the proper handling of credit card data and client information.

For this reason, small businesses must adhere to PCI compliance rules for protecting digital payments or risk fines from their payment processor. However, a yearly compliance action alone does not ensure a comprehensive adequate security posture.

SMBs typically lack the resources—time, manpower, and expertise—to develop, deploy, and manage their own cybersecurity capabilities. As a result, they tend to concentrate only on adhering to PCI compliance requirements rather than taking the essential actions to become more widely cybersecure. This is because a merchant’s digital environment may contain other areas that are open to cyberattacks if they choose to only implement PCI compliance in the card data environment.

SMBs need to be aware of numerous industry laws and best practices, including PCI Data Security Standard Version 4.0, which went into effect on March 31, 2024. Other frameworks that address general merchant cybersecurity for all industries and organizations, regardless of their size or level of cybersecurity skill, including the NIST Cybersecurity Framework and the FCC’s Cybersecurity Tip Sheet.

SMBs will have more work to do to maintain their cybersecurity and compliance posture because of hackers utilizing cutting-edge technology like artificial intelligence (AI) in addition to the growing use of mobile payments and contactless transactions. Sensitive consumer data was compromised by 39% of small firms in the past year, and more are sure to come given that cybercrime is predicted to cost the global economy $10.5 trillion by 2025. SMBs who don’t integrate their cybersecurity and compliance efforts run the danger of joining the 60% of small firms that shut down because of cyberattacks.

AI technology can be used by small firms to bridge this gap and lessen the strain of maintaining cyber resilience in the face of scarce resources.

AI: The key to uncovering hidden blind spots

AI is leveling the playing field for cyber resilience by assisting SMBs with limited funding and cyber knowledge in strengthening their security postures through:

Cutting through the clutter

What you cannot see is unassailable. To put it another way, 25% of workers at small businesses believe they lack the knowledge and resources necessary to recognize possible cyberthreats in the workplace. They lack the resources and knowledge to map out all digital assets at risk within a business, identify which vulnerabilities require patching, and determine which networks are most likely to be the next in line for attack. AI comes into play here.

Artificial Intelligence (AI) facilitates this process by giving small teams instant access to relevant information about vulnerabilities, possible security incidents, and remediation activities. This greatly expedites threat detection and response, enabling firms to remain ahead of the curve.

Though it’s not the sole tool, artificial intelligence (AI) is a potent one for SMBs, and its use will only increase with time. To provide a multi-layered strategy to identify cyber risks, AI solutions should expand upon the organization’s existing cyber tools (firewalls, endpoints, and vulnerability scanners that input security data to the AI model). The image of cyber danger becomes a high-resolution, color image when AI is used in conjunction with current cyber technologies.

Integrating compliance and cybersecurity measures

Due to PCI requirements and business needs, cybersecurity protection is becoming more necessary for SMBs in all sectors and regions. No longer can maintaining cardholder data security and preventing disruptions from cyberattacks be a “point-in-time” endeavor, as PCI and other compliance measures have historically been.

Businesses with little to no cybersecurity experience can put the necessary policies and procedures in place with the aid of industry best practices included in the NIST Cybersecurity Framework and FCC guidance, but these basic suggestions are insufficient to promote continuous cyber resilience.

Without requiring technical expertise or internal resources, AI technologies enable SMBs to quickly and effectively assess their cyber risk as part of the compliance process. AI solutions that integrate cybersecurity and compliance should be considered by SMBs. This will guarantee “always on” cyber defense in addition to adherence to industry rules and suggested baselines.

Eliminating the uncertainty

As generative AI (GenAI) chatbots advance, even non-technical staff of small and medium-sized businesses can more successfully establish and uphold cyber resilience and compliance with new industry requirements. Because every user has a different level of cybersecurity experience and different online and compliance security contexts, new GenAI chatbot capabilities can adjust the terminology, complexity, and level of detail of cyber events. This reduces the possibility of error by enabling everyone, regardless of skill level, to quickly identify their weaknesses and discover methods for mitigating risk.

Anticipating the future

Understanding where cyber threats are and how to best address each one necessitates a multi-layered strategy to SMB cyber risk management, comprising a combination of technology and process enhancements. Even though the dangers associated with cybersecurity and compliance are greater than ever, only 33% of SMBs have added new technology or processes to guarantee security in the last year. SMBs require assistance in the battle against cybercriminals, and AI is the co-pilot required to produce outcomes despite the leadership’s possible lack of experience and time.

AI isn’t just for big businesses; SMBs can also benefit from tools that help them prioritize which vulnerabilities to patch, recommend the best course of action for fixing those problems, and make sure they comply with crucial industry requirements like PCI. For SMBs, compliance and cybersecurity must become mission vital, or else they run the danger of being caught in the crossfire of cyberattacks.

As of today, over 44% of data from financial services organizations is stored in the cloud.

In one of our articles, we explored what cloud computing entails and its impact on the insurance industry. We also examined how certain insurance players like Lemonade and Allstate have leveraged cloud technology to enhance their operations.

However, the number of these early adopters remains limited due to various hurdles.

Cloud computing involves migrating all operations to the cloud, enabling communication, access, and resource sharing from anywhere at any time. For the insurance industry, it allows insurers, brokers, and agents to store, process, and access their data and applications on remote servers via the Internet. This is made possible by means of an internet connection and a subscription to hosting platforms like Amazon Web Services (AWS) and Microsoft Azure.

Despite its benefits like cost efficiency, scalability and business continuity, several challenges hinder the widespread adoption of cloud technology in the insurance sector.

Let’s delve into these challenges and suggest potential solutions:

 1. Legal and compliance issues

Ensuring compliance with federal regulations like the Gramm–Leach–Bliley Act (GLBA) and the Health Insurance Portability and Accountability Act (HIPAA), as well as state laws like the California Consumer Privacy Act (CCPA), requires considerable effort and delicacy.

Failure to comply can subject insurers and cloud hosting providers to significant fines and penalties.

What makes matters worse is the fact that different jurisdictions have varying legal requirements, making it difficult to maintain compliance when operating in multiple regions, as is often the case with cloud computing.

Solution: Insurance companies should work closely with legal experts to understand the regulatory landscape and ensure that cloud providers comply with relevant laws. In addition, enforcing robust data governance frameworks like Zero Trust Architecture and regularly auditing compliance practices can help mitigate legal risks.

 2. Interoperability issues

Many companies in the insurance industry still rely on outdated legacy systems. These systems often lack the compatibility needed to integrate with current cloud solutions easily.

Migrating these legacy systems to the cloud requires careful planning, significant resources, and technical expertise making the process complex and time-consuming, as it involves replacing old software and ensuring data integrity and security throughout the transition.

Solution: Using standardized protocols and middleware solutions can make it easier to connect old systems with new cloud technologies. This can be complemented by working with experienced cloud migration partners to help fix compatibility problems and make the transition smoother. Google has Google Cloud, which has one of the widest global reaches with numerous data centers and servers all over the world.

Add to that, a phased migration approach can help manage the transition from legacy systems to the cloud. Starting with non-critical applications and gradually moving to more complex systems allows for testing and adjustments along the way.

 3. Skill gap

There is often a shortage of skilled professionals who are adept at managing cloud infrastructure. This skills gap can lead to increased training costs and operational inefficiencies.

Solution: Investing in training and development programs for existing employees can bridge the skills gap. Partnering with cloud service providers for training resources and certification programs can also enhance the organization’s cloud expertise.

 4. Data security and privacy

Cloud environments are prime targets for cyberattacks, which can lead to unauthorized access to sensitive data, resulting in financial losses, reputational damage, and regulatory penalties. Additionally, there is a significant risk of data loss due to technical failures and human error.

Solution: Implementing strong encryption protocols, multi-factor authentication, and regular security audits can enhance data protection. Insurance companies should also work closely with cloud providers to ensure they have stringent security measures in place.

Conclusion

While cloud computing offers significant advantages for the insurance industry, overcoming these challenges requires strategic planning and investment in terms of time, human and financial.

By addressing legal and compliance issues, ensuring interoperability, bridging the skill gap, enhancing data security, and carefully managing the migration of legacy systems, companies can fully harness the power of cloud technology to drive innovation and improve operational efficiency in the insurance space.

With inflation high, many people are already feeling the squeeze. From groceries to gas to utility bills, everything seems more expensive by the day, forcing many to tighten their belts and make tough choices about what they can afford. Unfortunately, the pain doesn’t stop there.

Home and auto insurance are also surging, adding another layer of stress to household budgets. The average insurance rate is already a hefty $2,377 annually, but homeowners across the country are expected to see a 6% spike in average premiums by the end of the year. This comes on top of a whopping 20% increase over the past two years. US home insurance rates are even expected to reach a record high this year, with the biggest increases hitting hardest in states prone to severe weather events.

Car insurance isn’t any better news. The national average cost for full coverage sits at $2,543 annually, and that number is climbing too. With these rising costs, many families are having to choose between essential coverage and other necessities. It’s a tough situation, and hopefully, some relief is on the horizon.

But why exactly are costs surging? Let’s get into it.

Why are home insurance costs rising?

As you may have guessed, the reason behind surging premiums is varied and nuanced, but we must start somewhere. Let’s start with extreme weather events. Here’s why these events are impacting your home insurance bill:

  • More frequent and severe disasters: The White House itself reports a dramatic rise in economic damage from extreme weather. We’re experiencing, on average, more than one-billion-dollar disaster every month, compared to just a handful per year a decade ago.
  • Increased risk for insurers: These frequent and intense weather events translate into billions of dollars in payouts for insurance companies. Floods, wildfires, hurricanes, and other catastrophes are becoming more common, forcing insurers to re-evaluate their risk models.
  • Higher payouts, higher premiums: With a greater likelihood of claims due to extreme weather, insurance companies need to raise premiums to maintain financial stability. This means homeowners are paying more to ensure their property is covered in a disaster.

Secondly, inflation is playing a significant role. The cost of repairs and replacements following weather damage has risen sharply. Lumber for rebuilding roofs, parts for car repairs after hailstorms – everything is more expensive. The Insurance Information Institute reports that for every dollar collected in home and auto premiums last year, insurers paid out a whopping $1.10 in claims and expenses. This imbalance means insurance companies are essentially losing money on every policy, prompting them to raise rates just to stay afloat.

Pricing power also plays a role here. While state regulators have some power to limit these price hikes, insurance companies often have more leverage. Regulators know that if they move too aggressively to limit premiums, insurance companies might stop offering coverage altogether in certain areas or for certain types of properties. This can leave homeowners with limited options and potentially force them to pay even higher premiums for less comprehensive coverage from a smaller pool of insurers. This dynamic, where insurance companies have significant “pricing power,” also contributes to the overall rise in home insurance costs.

Why auto insurance is rising

Auto insurance is surging a lot – It’s hitting levels not seen since 1976. In 2024, the average annual premium for full coverage in the U.S. spiked to $2,543, a 26% increase from the previous year. This hike in rates is contributing significantly to overall inflation, adding half a percentage point to March 2024’s inflation rate of 3.2%.

Several factors are driving this surge. First, the cost of car repairs has increased by 6.7% over the past year. While this rate of increase is slower than in recent years, it remains substantially higher than pre-pandemic levels. The higher repair costs are partly due to more advanced and expensive technology in cars, which requires more specialized skills and parts to fix.

Additionally, the U.S. is experiencing more severe and frequent car accidents. Data from the National Highway Traffic Safety Administration shows a concerning rise in traffic deaths, with figures reaching 42,795 in 2022, up by about 7,000 compared to pre-pandemic numbers. Naturally, an increase in accidents has led to a rise in insurance claims, particularly due to the severity of these incidents. In fact, insurers saw losses on 27% of collision claims in 2022, a significant increase from the previous year.

Compounding the issue, there’s been a shift in driving behavior, although experts aren’t exactly sure why. More drivers are engaging in risky behaviors like speeding, texting while driving, or operating vehicles under the influence. These habits increase the likelihood of severe accidents but also lead to another costly problem – more legal cases. More claims now involve representation, further driving up costs for insurers. This combination of factors means that finding affordable car insurance is becoming increasingly difficult for many drivers.

Will the surge continue?

Predicting the future is tricky, but the factors driving the surge (extreme weather, inflation, risky driving, and insurer pricing power) aren’t likely to vanish overnight. So, some continued increase in home and auto insurance premiums is likely. However, regulatory changes or advancements in mitigating weather risks could offer some relief down the line.

Final thoughts

The rising cost of home and auto insurance is a significant burden for many households. While the future is uncertain, the factors driving this surge are unlikely to disappear quickly. This suggests that continued increases in premiums are probable. However, there’s still hope. Regulatory changes or innovative solutions to mitigate weather risks could bring much-needed relief in the long run.

In the meantime, homeowners and drivers must be proactive. Shopping around for competitive rates, seeking discounts offered by insurers, and adopting safer driving habits could help lessen the financial strain. While navigating this complex landscape might be challenging, acting can make a significant difference in managing these rising costs.