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Will Blockchain End Up Like 3DTV?

When technology is baked into a device, we rarely give it much thought. We buy a smartphone for its utility – not its operating system. Sometimes a new technology dramatically changes how everyone does things; the internet is a good example. Some plausibly great innovations, such as 3D television, just never gain traction. Which of these outcomes will blockchain have?

Recently, blockchain has emerged as a technology that will potentially transform industries in a way similar to what the Internet did a couple of decades ago. Still a nascent technology, its many uses have not yet been discovered or explored.

Most people know a little about blockchain:

    • It lets multiple parties agree on a common record of data and control who has access to it.
    • Its platform makes cryptocurrencies like bitcoin possible.
    • Movement of cryptocurrency verified by blockchain allows peer-to-peer cash transfers without involving banks.
    • Blockchain is a permanent, auditable record, so any tampering with it is obvious.

Some people think blockchain will transform security in financial services and fundamentally reshape how we deal with and trust complex transactions, though this could be a response to hype or a fear of missing out. Many other people ask why and how they should use blockchain.

On the face of it, using a shared (or distributed) ledger to process multiple transactions doesn’t seem so revolutionary. Blockchain is essentially a recordkeeping system. Perhaps its association with cryptocurrency – such as bitcoin – lends it a darker, more enigmatic edge than the software traditionally used for processing multiple transactions. One way or another, insurers face pressure to update antique systems with new ones that can compete with the demands of a digital world, and that means incorporating blockchain technology.

A distributed ledger of transactions

A blockchain can be seen as an ever-growing list of data records, or blocks, that can be easily verified because each block is linked to the previous one, forming a chain. This chain of transactions is stored on a network of computers. For a record to be added to the chain, it typically needs to be validated by a majority of the computers in the network. Importantly, no single entity runs the network or stores the data. Blockchain technology may be used in any form of asset registry, inventory and exchange. This includes transactions of finance, money, physical property and intangible assets, including health information.

Because blockchain networks consist of thousands of computers, they make any effort to add invalid records extremely difficult. Every transaction is secured using a random cryptographic hash, a digital fingerprint that prevents its being misused. Every participant has a complete history of the transactions, helping reduce the chance of transactions being corrupted. Simply put, a blockchain is a resilient, tamper-proof and decentralized store of transactions.

Complex processing and automation with smart contracts

Blockchain ecosystems enable a large number of organizations to join as peers to offer services, data or transactions that serve specific customers or complex transaction workflows transparently. These ecosystems can automatically process and settle transactions via smart contracts that encapsulate the logic for the terms and triggers that enable a transaction.

Smart contracts are created on the blockchain and are immutably recorded on the network to execute transactions based on the software-encoded logic. Transparency through workflows recorded on the blockchain facilitate auditing. Peers and partners within a blockchain ecosystem independently control their business models and the economics without the need to use intermediaries.

Self-executing smart contracts can be used to automate insurance policies, with the potential to reduce friction and fraud at claim stage. A policy could be coded to pay when the conditions are undeniably reached and decentralized data feeds verify that the event has certainly occurred. The blockchain offers enhanced transparency and measurable risk to this scenario.

Parametric insurance, which operates through smart contracts with triggers that are based on measurable events, can facilitate immediate payments while decreasing the administrative efforts and time. Effectively, the decision to pay a claim is taken out of the insurer’s hands. Other possible models are completely technology-based without the need for an actual insurance company. The decentralized blockchain model lends itself well to crowd-sourced types of insurance where premiums and claims are managed with smart contracts.

See also: Blockchain’s Future in Insurance  

Blockchain-based insurance

New insurers using blockchain are emerging and offering increased transparency and faster claims resolution. Here are some examples:

    • Peer-to-peer property and casualty insurer Lemonade uses an algorithm to pay claims when conditions in blockchain-based smart contracts are met.
    • Start-up Teambrella also leverages blockchain in a peer-to-peer concept that allows insured members to vote on claims and then settles amounts with bitcoin.
    • Dynamis provides unemployment insurance on a blockchain-based smart contract platform.
    • Travel delay insurer insurETH automatically pays claims when delays are detected and verified in a blockchain data ledger.
    • Etherisc is another new company building decentralized insurance applications on blockchain that can pay valid claims autonomously.

Traditional insurance companies, such as AXA and Generali, have also begun to invest in blockchain applications. Allianz has announced the successful pilot of a blockchain-based smart contract solution to simplify annual renewals, premium payments and claims submission and settlement.

Blockchain has the potential to improve premium, claim and policy processing among multiple parties. For example, in the last year the consultancy EY and data security firm Guardtime announced a blockchain platform to transact marine insurance. This platform pulls together the numerous transactional actions required within a highly complex global trade made up of shipping companies, brokers, insurers and other suppliers.

A consortium of insurers and reinsurers, the Blockchain Insurance Industry Initiative (B3i), has piloted distributed ledger technology to develop standards and procedures for risk transfer that are cross-market compatible. Whether or not the outcome is adopted industry-wide, it seems important for digital solutions to be created with this transparency and inclusiveness in mind.

There is clear potential for blockchain in reinsurance where large amounts of data are moved between reinsurers, brokers and clients, requiring multiple data entry and individual reconciliation. Evaluating alternative ways of conducting business is one reason for the collaboration of Gen Re with iXledger, which can explore ideas while remaining independent.

Handling of medical data and other private or sensitive information

Individuals will generate increasing amounts of personal data, actively and passively, from using phones and Internet of Things (IoT) devices, and processing digital healthcare solutions. Increasingly, consumers will want control of this scattered mass of digital data and share it with whomever they choose in exchange for services. This move aligns perfectly with the concept of a “personal data economy.” Think of information as currency and think about using blockchain to secure private data and reveal it in a secure and trusted manner to selected parties, in exchange for something.

Electronic health records are now common. Several countries use blockchain to secure patient data held digitally. This helps counter legitimate concerns about how sensitive personal data can be kept secure from theft or cyber-attack. Code representing each digital entry to the patient record is added to the blockchain, validated and time-stamped. A consortium of insurers in India is using blockchain to cut the costs of medical tests and evaluations, and to ensure the data collected is kept secure, along with other benefits including identification of potential claims fraud.

Looking to leverage the data economy, companies may employ innovative insurance propositions to engage people. Because the propositions will rely on shared data, people may be put off, fearing a loss of control over their personal information. While this fear poses a huge challenge for an industry seeking to improve its reputation for trust, blockchain technology may help insurers to reassure customers the digital data they share with them is safe.

Verification of documents

Verification of the existence and purpose documents in banks and insurance companies relies on storage, retrieval and access to data. A blockchain simplifies this process with its open ledger, cryptographic hash keys and date-stamped transactions. Actual hard copies of documents are not stored; instead, the hash represents the exact content in a form of scrambled letters and numbers. A change in a document will be exposed because it will not match the encoded one. The effect is an immutability that proves the status of the data at an exact moment and beyond doubt.

Blockchain technology is a “trustless” system because nobody has to trust anybody else for the system to function; the network of users acts together to vouch for the accuracy of the record. Examples of blockchain protecting patient records demonstrate its potential to implement other trusted and secure transactions with less bureaucracy.

There are other opportunities for insurers to move to a digitized paradigm and catalyze efficiency gains; blockchain need not be reserved for cross-industry platforms, and it’s not only useful in multiparty markets with high transaction volumes and significant levels of reconciliation; smaller-scale solutions can bring benefits, too.

Features that ensure privacy and data security

Beyond driving efficiencies, blockchain employs agreed standards for data care, which reduce the vulnerability of data that arises with the mass of sensitive data that digital connectivity creates. Other features that enhance privacy and data security include the contract process: Transactions are not directly associated with the individual, and personal information is not stored in a centralized database vulnerable to cyber-attack. Insurance companies, as well as technology companies, are accountable to their users for the security of their devices, services and software, and hackers are less likely to target enterprises with strong security.

Multiple participants and the removal of a central authority

Transparency, audit-ability and speed are standard requirements for any organization to successfully compete and transact in an increasingly complex global economy. Data is a valuable catalyst to that process and is complemented by blockchain’s ability to organize, access and transact efficiently and compliantly.

Trusted transactions require access to valuable data, and blockchain facilitates efficient access across multiple organizations. The economics for data usage will drive new business models fueled by micropayments, which will require efficiencies to scale. Business models based on data aggregation by third parties in centralized repositories with total control and limited transparency will be replaced by distributed blockchain-enabled data exchanges where data providers are peers within the ecosystem.

Decentralized peer organizations can use the blockchain for permission access, and for facilitating payments, to ensure total control of their economic models, without having a centralized authority. Data access and transactions are controlled directly by each member of the ecosystem, with complete transparency and immediate compensation.

Token economies

Ecosystems supporting peer organizations that transact or share data will require an effective mechanism for micropayments. These business models require efficiency, with less overhead than traditional account payable and account receivable workflows.

Event triggers, cryptlets that enable secure communication between blockchain, and external verification sources (oracles) will execute based on predetermined criteria, and token payments will be made simultaneously. Counterparty agreements may initially define the relationships between parties on the network, but payments are executed within the smart contract transactions.

See also: How Insurance and Blockchain Fit  

The elimination of a time delay in payments acts as a stimulant for economies; tokens earned can immediately be spent, increasing the speed at which organizations will earn and spend. Traditional delays and fees that occur throughout accounting workflows and through intermediary banks that process payments can be eliminated.

Cross-border processing

Currently, global payments involving foreign exchange introduce complexities in addition to time delays. Economic indicators and political events dramatically affect the exchange rates and profitability of transactions. Cross-border payments require access to the required currencies by intermediary banks, which can cause additional delays beyond the internal accounting workflows.

With blockchain technology, using a token-enabled economic layer simplifies the payments to support micropayment efficiencies. Participants on the blockchain network will be able to efficiently use the preferred fiat currencies to acquire or sell tokens without using intermediaries, banks or currencies.

Merging blockchain and data

Today, there are more connected IoT devices than there are people on the planet, and the data generated is growing at an exponential rate. Various sources have predicted that the number of connected devices will grow to more than 70 billion by 2025; the numbers are almost irrelevant.

IoT devices are used in homes, transportation, communities, urban planning, environment, consumer packaged goods, services and soon in human bodies. A number of insurance companies use these devices to assess driver habits and usage. Autonomous cars and changing ownership and usage models are creating a generation of insurance products that can be facilitated through IoT-collected data. Home devices can detect leaks, theft and fire damage – capabilities that reduce risk. Shipping companies use the IoT for fuel and cargo management, which offers operating efficiencies, transparency and loss prevention.

Merging the mass of IoT data with the blockchain is not without challenges, but this combination can provide a completely new way of creating an insurance model that is far more efficient and faster, and where data flows directly from policyholders to the insurer.

Summary

Interest in the trinity of bitcoin, blockchain and distributed ledger technology has significant momentum. However, the technology is not magic or a panacea for every corporate woe. It has disadvantages and limitations, and there are situations where it would even be the wrong solution. There is enough about it, though, to merit continued closer investigation – the many emerging cases of its application bear testament to that – but in place of hype we still need answers.

EY’s Ed Majkowski

Ed Majkowski, Americas Insurance Sector Leader and Advisory Leader for EY, discusses his vision for helping insurance clients successfully navigate the complexity of innovation and digital transformation and growing EY’s insurance practice to serve those needs.


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Reinsurance: Dying… or in a Golden Age?

Much has been said about the challenges facing the reinsurance industry, to the point where the industry and a few of its major players have been characterized as being in a potentially terminal decline. However, to focus on recent results is to overlook fundamental changes in the nature of risk in the 21st century that could benefit the world’s major reinsurers, with opportunities unlike any seen before in the modern history of reinsurance.

A difficult financial backdrop for reinsurance in 2017

Financial results for major reinsurers in 2017 saw substantial contractions from prior years, driven by large catastrophe losses from hurricanes and California wildfires. These results have been followed by cost reduction in the reinsurance industry, which has elicited surprise in two conflicting ways. For some, the surprise was that the cost-reduction efforts could affect reinsurance, given that such exercises were more common for their cedent primary carrier clients. For others, the surprise was that it had taken so long for a focus on cost to come to the reinsurance market.

Concerns about the future financial performance of the reinsurance industry are held at the very highest levels of leadership among major reinsurers. In response to questions about the company’s 2017 performance, Swiss Re CEO Christian Mumenthaler commented on the state of the property catastrophe market that “we need to get used to a world where margins are much lower.” Given that property catastrophe profits have been one of the best-performing segments, not just in reinsurance,but in the entire insurance industry, according to McKinsey, this is an unwelcome development for the medium-term profitability of reinsurance firms.

Bearish commentators do not blame recent poor results on an unfortunate confluence of large-scale U.S. property losses, excess capital in the reinsurance industry or a temporary soft market. Rather, global advisory firm EY points to “clear signs that reinsurers face a long-term structural phenomenon rather than a short-term fluctuation of the insurance cycle.” EY goes on to warn in a report on the reinsurance industry that there is “compelling evidence that reinsurers are inexorably moving toward a ‘dead end’ with their legacy business models.”

The potential for reinsurance, with a longer-term lens

Such pronouncements about the potential for the reinsurance industry to perish are, however, overblown. Far from the rapidly changing risk environment undercutting the role of reinsurance, changes in the nature of risk have the potential to unlock a golden age of reinsurance where reinsurance institutions could play an even more important role in the future of the global economy than ever before. Two megatrends affecting society in the 21st century could bode very well for the reinsurance industry.

The shift from physical to non-physical assets on balance sheets

First, the emergence of non-physical assets fundamentally alters the nature of risk, which will require major changes in the P&C insurance industry.

According to Ocean Tomo, in 1975, more than 80% of the market capitalization of the S&P 500 was derived from physical assets and infrastructure. Property insurers, therefore, had a key role in insuring the most valuable assets of the business community. However, by 2015, property assets made up a relatively small share of the value of businesses, with 87% of that value being tied to intangible assets. For centuries, the P&C insurance industry was focused on the protection of property, but in the space of a generation the relative importance of physical property has declined precipitously. Risk to assets hasn’t gone away; there has just been a shift from physical to non-physical assets.

See also: The Dawn of Digital Reinsurance  

The shift toward digital risks as a driver of risk to a company’s income statement

Second, the emergence of digital risk is fundamentally changing the potential causes of loss for businesses. When you move beyond a balance sheet perspective, where physical property has declined in importance, and look at the income statements of contemporary businesses, you also see an increasing reliance on digital technologies with substantial potential for business interruption when these technologies are disrupted. These losses are already being witnessed today with the recent NotPetya attack illustrating that many major businesses can lose hundreds of millions of dollars from a single cyber event. It is, therefore, no surprise that cyber risk has skyrocketed in importance from the #15 item on the minds of risk managers in 2013 to the #2 item on the minds of risk managers in 2018, according to a report from Allianz.

What is remarkable is not just the meteoric rise in importance of cyber risk over the past five years but the fact that we are just scratching the surface of a megatrend that promises to have an even greater impact in the years to come. Changes in technology are fundamentally changing the nature of risk due to the digitization of the economy, the automation of entire industries and the explosion of Internet of the Things (IoT) devices. As the economy shifts from having 10 billion Internet of Things (IoT) devices to more than 200 billion IoT devices, sources of digital risk are set to skyrocket, along with the potential for cyber losses.

The foundation for any financial risk transfer product – where is the financial loss?

Estimating the financial impact of cyber risk is a difficult endeavor. A recent piece of research conducted by RAND, supported by the CyberCube unit of Symantec and the Hewlett Foundation, estimated that cybercrime today costs the global economy at least $275 billion to as much as several trillion dollars. When you layer on the emergence and deployment of new technologies, this number will only increase over time.

Not only will these losses due to cyber events rise, but cyber catastrophe modeling research undertaken by CyberCube suggests that there will be a shift from attritional day-to-day losses affecting individual to firms to more and more large-scale losses affecting multiple companies simultaneously from global aggregation events. Such events were once deemed somewhat theoretical, but the last 18 months have revealed a series of cyber aggregation events that have shown that cyber events have the potential to lead to simultaneous losses from many companies, and we are just at the beginning of a major technological change.

In many cases, the absolute level of risk for the global economy will decline. For example, with the emergence of new safety features in automated cars, the incidence of property and casualty losses from automobiles will decline.

However, new sources of catastrophic risk emerge as the potential arises for mass losses from the simultaneous failure of the technology affecting thousands of companies simultaneously. CyberCube has identified more than 1,000 technology “single points of failure” that could pose sources of aggregation risk to insurers, and this number will only grow as the years go by and new cloud-connected technologies are rolled out. To draw an analogy to the property insurance market, you can expect far fewer one-off damages from one-off fires burning down a single home and far more wildfires destroying entire towns.

Implications for reinsurers

So what are the implications for reinsurers?

1. The foundation for any financial risk transfer product – where is the financial loss?

Changes in the nature of company assets, technology and the emergence of connected digital risk are reducing absolute levels of risk to the society overall but concentrating the potential for financial losses in a smaller number of catastrophic events. This is precisely the type of risk and financial transfer that the reinsurance industry can provide.

2. Emerging cyber risk is so complex that the largest and most sophisticated reinsurers stand to gain the most from this shift in the risk landscape

Given that cyber risk is not geographically constrained, the ability of smaller and less sophisticated reinsurers to participate in a large number of geographically diversified natural catastrophe treaties is diminished. The nature of cyber risk is so complex and dynamic that only reinsurers with a critical mass of expertise in connected digital risk will be able to effectively understand, monitor and model cyber risk. There will be more differentiated insight in cyber risk than in natural catastrophe risk.

3. Investment from reinsurers is needed to understand cyber risk today, in advance of catastrophe events that could create tremendous financial opportunities for reinsurers in the future

It is a cliché to say that it is just a matter of “if not when” for cyber attacks on individual companies. What is becoming increasingly apparent is that the same can be said for catastrophic cyber aggregation events that cause material damage to many companies simultaneously. When this happens, insurance history suggests that demand for coverage will increase, capital will flee the market and prices will harden. The reinsurance market for cyber as a peril might be small today, but reinsurers that have taken the time to invest in their own capabilities ahead of these events, with informed capital to deploy when market demand spikes, will benefit tremendously.

See also: Mamas, Tell Your Kids to Sell Reinsurance  

Conclusion: Terminal decline or golden age?

The nature of risk is fundamentally changing, which means the nature of financial risk transfer also must change. 2017 may have been a bad year for the financial performance of the reinsurance industry, but this is a market where time horizons need to be considered over many decades and certainly not over the results from one financial year alone.

Far from the reinsurance industry being in a potentially terminal decline, changes in the nature of risk in the 21st century, stand to benefit the most sophisticated players in the reinsurance industry if they can take advantage of digital trends and understand new risk concentrations.

Reinsurers that invest in understanding the nature of cyber risk, and the sources of catastrophic losses, not only stand to benefit in outsized ways relative to other insurers, but they also stand to help society reap the tremendous rewards of new technology by mutualizing financial risk when technology inevitably goes wrong.

The reinsurance industry as a whole is neither in terminal decline nor at the beginning of a new golden age. It is the action of individual reinsurance companies, and their efforts to understand, quantify and model digital risk that forms the basis of whether they will thrive or falter in this emerging digital age.

Transforming Claims for the Digital Era

As insurers undertake digital transformation programs, many rightly turn to the claims function. Claims is a very good candidate for such initiatives because of its importance to the relationship between customers and their insurers. Claimants and insurers both want speedy and fair resolution, based on clear lanes of direct and personalized service. A data-driven, analytics-enabled claims process can satisfy the objectives of all parties.

Continuous improvement to customer experience in claims is critical to any strategy. After all, claims are a real “moment of truth” for insurers, with meaningful impacts on outcomes and customer loyalty. Insurers that craft the right strategies and deploy the right mix of digital technologies will be able to turn their claims operations into a source of competitive advantage, market differentiation and brand perception. While advanced technologies such as robotic process automation (RPA) and artificial intelligence (AI) are very much part of the long-term transformation story, there is much insurers can do that will generate immediate benefits.

What matters to claimants — and how to deliver

EY’s insurance consumer research confirms that speed, efficiency and transparency are among the most important characteristics of a quality claims experience. Better data and analysis can help streamline steps in the claims process, setting the foundation for an enhanced experience. Those analytics also set the foundation for the future where many claims will be resolved via “no-touch” processes.

See also: 4 Ways That Digital Fuels Growth  

Insurers seeking to automate their claims processes or to achieve straight-through processing for basic claims have multiple options, including:

  • Advanced telematics data (including video imagery) can be instantaneously captured during an automobile accident and downloaded from the cloud to automatically trigger a first notification of loss (FNOL) entry. Underwriters can “score” the data to determine the extent of loss relative to the automobile’s current value.
  • Drones and satellites can survey damage and collect information about property damage to initiate claims before a homeowner makes contact.
  • Via intuitive apps or other interfaces, insureds can submit photos of damage to their homes or vehicles to initiate the claims process, provided there is no sign of fraudulent behavior (which analytics programs can evaluate).
  • Property and casualty (P&C) insurers may use historical repair data to dramatically decrease estimating times for different types of vehicles and homes. They may also better manage repair costs and quality based on deeper analysis of these data sets.
  • AI may be used in combination with social media and other data to scan claims for the likelihood of fraudulent behavior.

Insurers also have good options when it comes to personalizing service, which include:

  • Voice analytics that can assess customer sentiment during phone calls, with appropriate classification and prioritization of resolution.
  • Behavioral analytics that can be applied to model likely customer needs and identify high-value policyholders or those likely to dispute a claim.
  • Analyses of customer records that can identify claimants facing renewal as well as good candidates for purchasing additional products.

A redesigned claims experience can pay immediate dividends (e.g., lower processing costs, improving claims resolutions or higher renewal rates). In all of them, insurers can engage at key points during the claims life cycle, with accurate and consistent information delivered on a timely and transparent basis. At the same time, claims teams can focus on high-value interactions, high-risk claims and other exceptions.

The path toward a better claims experience

No matter where insurers fall on the maturity curve today, there is much they can do to transform the claims process. The path to success begins with a series of well-thought-out steps designed to produce useful learning and incremental value. Huge investments in new technology or large teams of data scientists are not required for substantial improvements. Organizational and cultural factors are also part of the claims transformation equation.

Insurers should endeavor to integrate third-party data (such as medical claims, consumer credit and weather data) with existing records. They also have the opportunity to pilot the use of automated notifications via chatbots and to encourage customers to submit photos of damage. While taking these initial tactical steps, they can begin building the business case for, and perhaps even pilot, more advanced capabilities, such as “no-touch” claims handling for specific products, regions, claims types or payments.

Insurers in the intermediate phases of their digital transformation journey should consider expanding automated claims handling to more claims types and larger amounts, broaden their use of chatbots for communication and seek to integrate more external data sources. They can also deploy drones as “adjusters” and establish analytics Centers of Excellence in claims.

More mature organizations will look to leverage new data storage and management technologies as the basis for advanced analytics and real-time visualization. They may also strengthen antifraud efforts by implementing machine learning. The most forward-looking insurers may build out data science teams to probe large and diverse data sets stored in analytics ecosystems. Similarly, they may expand claims volumes handled via RPA-enabled straight-through processing and evaluate medical treatments or repair effectiveness against leading practices.

See also: Digital Transformation: How the CEO Thinks  

As claims organizations become more digital, the benefits of additional data and more effective analytics should extend beyond the customer experience. Machine learning and visualization techniques can help assess and predict claims risk with greater accuracy and certainty. They also provide a consistent claims handling approach relative to unbiased reserving, litigation, subrogation and other claims processes.

It is worth noting that technology enhancements alone will not produce a claims organization for the digital era. A cultural willingness to embrace change also matters. Many insurers must overcome risk-averse cultures to encourage experimentation and “fast failures” in the spirit of learning what works best for their culture and customers.

How do they do that? Test-and-learn approaches are a good start for insurers with limited digital capabilities. Pilot programs for automated claims processing and bot-driven notification systems are an ideal place for many organizations to start.

Customer experience is everywhere

In the digital era, where customers have been trained to expect real-time access to data and personalized service, the stakes for the claimant customer experience have been raised. Insurers must learn to deliver what customers want and expect — and deliver it efficiently, accurately and quickly. Digital transformation makes it possible, while offering insurers significant upside in terms of lower costs, increased customer loyalty and reduced risk of fraud.

Global Trends 1H 2017: Upside Potential

Key Highlights

External influencers: mixed macroeconomic signals

  • Uptick in global growth and rebound in employment levels, if
    sustained, will have favorable implications for the sector.
  • As central banks turn cautious, bond yield improvements are likely to slow in the near term, implying limited investment yield upside for insurers.

Sector trends: hurricanes to set course

  • Supported by a strong bull run, global insurance stocks continued
    to rise as several large insurers saw improved investment and
    underwriting results.
  • Pick-up in long-term buy recommendations for U.K. and E.U. insurers reflect improved analyst expectations.
  • Natural catastrophe (NatCat) losses: Active hurricane season is
    expected to halt the relatively benign period of losses and limit
    further pricing weakness that has persisted after 2012.

See also: Insurance Technology Trends in ’17, Beyond  

Tech disruption: blockchain rising

  • Addressing the evolving nature of risk through innovation is a key
    imperative for insurers.
  • Blockchain has now progressed beyond pilot stage, with early
    adopters looking to gain significant advantages.
  • EY has taken a strong lead in helping insurers create a blockchain-based new-age information infrastructure.

Regulatory landscape: insurers prepare for impact

  • Insurers need to initiate implementation plans to
    effectively address the changes introduced by the new accounting regulations (including IFRS17 Insurance Contracts).
  • General Data Protection Regulation (May 2018): With more than
    half of the two-year post-adoption grace period now over,
    insurers will have to act fast to address the impending challenges.

You can find the full EY report here.