Top 10 WC Predictions for 2017
Free marijuana will be distributed to all persons with any ailment. No one will really recover from anything, but no one will really care, either.
Free marijuana will be distributed to all persons with any ailment. No one will really recover from anything, but no one will really care, either.
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Bob Wilson is a founding partner, president and CEO of WorkersCompensation.com, based in Sarasota, Fla. He has presented at seminars and conferences on a variety of topics, related to both technology within the workers' compensation industry and bettering the workers' comp system through improved employee/employer relations and claims management techniques.
About 6% experience severe Seasonal Affective Disorder (SAD) and as many as 20% may experience a milder form of the disorder.
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Sally Spencer-Thomas is a clinical psychologist, inspirational international speaker and impact entrepreneur. Dr. Spencer-Thomas was moved to work in suicide prevention after her younger brother, a Denver entrepreneur, died of suicide after a battle with bipolar condition.
Insurtech provides important opportunities in three areas: underwriting automation, connected devices and cybersecurity.
Connected Devices
Data
Connected devices in insurance describes the network of smartphones, wearables, home diagnostics and other internet-connected devices that form one of the fastest growing spaces within insurtech. This stands to make available a new wealth of data for insurers to handle better pricing and encouragement of risk-decreasing customer behavior.
Wearables and Diagnostics
87.7 million U.S. adults, or about 38%, are expected to be using a wearable device in 2019, a growth mainly fueled by smartwatches and wristbands. VCs invested around $3 billion in IoT startups worldwide in 2015, and 38 million European and North American households are expected to have a smart thermostat in 2018, with two-thirds of those lying in North America. Nearly two-thirds of consumers already own or plan to purchase an in-home IoT device in the next five years.
Only 3% of insurers are already making use of wearable devices, and less than a fourth are developing a strategy for them, even though 60% of insurance executives believe that wearable technologies will be adopted broadly by the industry.
Telematics
Telematics in cars allow insurers to track driving patterns of their customers. The advent of cheap GPS devices has made this technology ready for widespread adoption with usage-based insurance (UBI) and dynamically adjusted premiums. More than 15% of the U.K. car insurance market is usage-based, and Progressive alone has more than 4 million UBI customers in the U.K. In the U.S., there are around 5 million UBI policies in effect, and approximately 70% of all auto insurance carriers in the U.S. are expected to use UBI by 2020, with more than 26% of all motor policies being usage-based. Usage-based programs on average lead to a 57% decrease in total claims cost.
Health Insurance
Health insurance tech startups raised more than $1.2 billion in venture funding in 2015, more than twice as much as in 2014, and making up almost half of the $2.6 billion in venture funding that was raised by insurance tech startups overall. Insurers themselves have committed more than $1 billion to investments in startups, and many of them have established their own in-house venture capital funds to exploit IoT and ready themselves for new markets.
58% percent of smartphone users in the U.S. have downloaded a health-related app, and around 41% have more than five health-related apps, generating data that insurance providers could use to fine-tune their individual premium pricing and encourage low-risk customer behavior. The first insurance company to offer discounts to customers using technology aids for better living was John Hancock in 2015. Other companies in the U.S. and elsewhere have since followed suit, offering as much as a 15% premium discount.
Trends
The number of connected devices is projected to grow by 35% each year over the coming years. This creates a new wealth of data, which insurers see as important but do not know how to tackle. To understand how insurers can approach the issue, we must look at the health insurance industry, which is at the forefront of integrating wearable tech and makes up for about half of all insurance tech investment.
Most of the efforts to integrate technology by insurers are simple and mainly designed as promotions, like awarding credits for a number of steps taken: this is a far cry from what big data could do for adaptive premium pricing based on comprehensive health data for each customer. The problem is likely a skepticism toward new technology for which no historical experience is available.
See also: Top 10 Insurtech Trends for 2017
The other major industry using connected devices is car insurance. Here discounts are given to customers who drive less and more safely than others, and the benefits so far have been clear: a 57% reduction in claims. It remains to be seen how much of this reduction will turn out be a temporary Hawthorne effect, but it is sizable enough to pique interest everywhere. The major problem is that so far insurers do not penalize worse-than-average drivers, and it is unclear to what extent customer will accept self-tracking as mandatory or de facto mandatory by pricing. The same issues will also have to be faced by other insurance industries moving to integrate IoT.
Insights
Insurers agree that the Internet of Things and wearables will play a major role for the industry but have so far only used them in often-gimmicky promotional efforts, hindered by the fact that they cannot penalize customers for risk-increasing behavior. The health insurance market is the main point of investment for insurance tech, but the rise of smart devices everywhere makes innovation possible in all parts of life. The first insurer to overcome the regulatory hurdles and offer truly adaptive and responsive insurance that is not limited to one or two factors but embraces big data will have a strong first-mover advantage.
Cybersecurity
Data
The cyber insurance market grows each year both in size and import but is insufficiently understood and served by insurance providers, who so far have few technological options to contain, predict and address cyber risk.
Risk levels and market size
Estimates for the yearly cost of cybercrime vary from €330 billion to €506 billion. The cost will increase as businesses and their supply chains become more digitally integrated. In the past three years, the average economic impact of cybercrime per organization in the U.S. has risen from $11.6 million to $15.4 million. The biggest share of this impact comes from the cost of business disruption. The global market for cyber insurance is estimated to rise to $20 billion in premiums by 2025.
Customer awareness and adoption
Businesses are insufficiently insured and informed around cyber risk. Around 40% of Fortune 500 businesses currently have insurance against cyber incidents, but generally not enough to cover their full exposure. In the U.S., 24% of all business have some form of cyber insurance. 48% of enterprise customers say they lack the necessary understanding of the complexity of cyber risks to better prepare against them.
Available products and expertise
Of the 10 largest insurers, only five offer standalone cyber coverage. While 90% of all insurance underwriters offer cyber insurance as an add-on to other products, more than 50% do not have any dedicated underwriters for cyber risk and rely on underwriters for other lines. Consequently, 70% of insurance brokers claim there is little to no clarity about what is covered in cyber products.
Trends
Cyber insurance is a major challenge for insurers as there is little historical data to inform the correct insurance pricing, and there is great variation from year to year in the kind of cyber attacks and damages that businesses face most. Technological solutions to better protect against cyber threats or at least contain the risk are unsatisfying. As a consequence, the traditionally conservative, risk-averse and technologically skeptical insurers are failing to live up to their role as protectors of businesses against new, existentially threatening cyber risks.
While adapting rapidly, the strength of protection against cyber crime is unlikely to proportionally increase with the strength of the attacks, so defenses against cyber attacks are usually about one generation behind, with new types of attacks emerging each year. Businesses and their supply chain are digitally integrating to an ever larger extent, so both the target size and sophistication of cyber attacks will lead to rising risk and damage from cyber incidents, creating more exposure for businesses everywhere.
These businesses are by and large aware of this threat but find themselves insufficiently informed about how to protect themselves because insurers fail to provide the much-needed expertise. The damage to different developed countries’ GDP from cyber crime ranges from 0.5% to 1.5%. As this share increases, we can expect regulatory pressure, which already represents a big liability risk for cyber incidents, to lead to an even higher demand for comprehensive cyber insurance.
At the moment, insurers are still unsure about how to best underwrite cyber risk and often go the safe route of not offering dedicated cyber products at all, or only offering very limited products. As cyber insurance becomes more of a business necessity, insurers that cannot provide expertise on it will seem unreliable and unfit to support a business and see their market share suffer in other lines as well, and hence this area becomes an important space for further investment.
See also: How to Measure ‘Vital Signs’ for Cyber Risk
Insights
Cyber risk is a major, growing risk to insurance providers, including banks, and businesses looking for insurance, both because of liability exposure and the threat of business interruption that could run into substantial unplanned-for costs. Even though awareness is increasing among business leaders, insurers are struggling with offering the right products with relevant features and pricing because of their lack of experience. An insurer that knows how and is willing to underwrite this new type of risk will quickly capture a sizable market share. There is a level playing field for insurers and new players as there is no historical data available for both -- agility and willingness to use new sources of data could be a competitive edge for new insurtech players.
You can find the full report from which this article is excerpted here.
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Devie Mohan is a fintech industry advisor and analyst based in London. She is the co-founder and CEO of Burnmark, a fintech research company, in partnership with FinLeap. She is also the marketing strategist and U.K. co-ordinator for FinLeap.
Key areas in the spotlight include regulation, consumer-centric progressions, risk circumventions and tech modernisms.
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Christopher E. Mandel is senior vice president of strategic solutions for Sedgwick and director of the Sedgwick Institute. He pioneered the development of integrated risk management at USAA.
As 2017 unfolds, several state legislatures are about to make mistakes in the area of medication management in workers' compensation.
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Michael Gavin is president of PRIUM. He is responsible for the strategic direction and management of the medical intervention company. He brought considerable experience in several major sectors of the health care industry to PRIUM when he joined as chief operating officer in 2010, and he is the author of the thought-provoking Evidence-Based blog.
The insurance industry will move from claims handler to claims preventer, so comparing products will become much more complicated.
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For starters, insurance carriers can use skilled gig workers to create efficiencies across many channels in their organizations.
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Robin Roberson is the managing director of North America for Claim Central, a pioneer in claims fulfillment technology with an open two-sided ecosystem. As previous CEO and co-founder of WeGoLook, she grew the business to over 45,000 global independent contractors.
The insurance sector is one of the most old-fashioned and resistant to change -- so artificial intelligence will have an even greater effect.
Image Credit: http://www.creativityatwork.com/2014/06/10/busy-innovate/[/caption]
II. So how can AI help the insurance industry?
AI is helping (or disrupting, depending on how you see the matter) the sector in different ways. First of all, it can help increasing the customer engagement and retention problem which has been just mentioned. The abundance of data can be used indeed to refine the customers’ segmentation and provide personalized offers based on personal features. It also helps in reducing the costs through smart automatization or RPA (robotic process automation).
Second, AI is making people more aware of the risks as well as habits, and it is driving them toward better behaviors.
Furthermore, the better pricing and risk assessment that AI is introducing analyzing more granular data will make some people uninsurable (i.e., too risky to be fairly priced and covered) as well as to turn back some previously uninsurable people into insurable customers again. The governments or central regulatory agencies should then start thinking about a “pricing/risk threshold” in which they intervene subsidizing the cost of relevant insurances (e.g., basic health coverage) in order to “guarantee the uninsurables”.
Finally, it might be useful to think in terms of what an insurable risk is in order to see how AI can help with that.
According to Jin Park (Assistant Professor at IWU), an insurable risk is identifiable through the following five conditions:
Image Credit: iStock[/caption]
III. Who are the sector innovators?
There are plenty of startups out there working at the intersection of AI and insurance, and it essential to look at least at some of them to understand the future direction of the industry, as well as the kind of improvements AI is having in the insurtech space. An interesting thing to notice is that most of the innovation is happening in the UK rather than other countries, in all the segments proposed below.
Claim processing: Shift Technology skims the valid claims from the ones that deserve further validations; Tractable instead is trying to automatize experts task for insurances; ControlExpert has a specific focus on car claims; Cognotekt optimizes internal business processes, as well as Snapsheet does; Motionscloud offers instead mobile claim management solutions; and finally RightIndem aims to help insurers to deliver on-premise smoothing the claiming flow.
Virtual Agents & Chatbots: Spixii is an automated insurance agent who helps you buying any insurance coverage you might want; Cognicor is a virtual assistant that offers customer care services; Conversica identifies which leads intend to purchase, while Your.MD is a personal health assistant that analyzes symptoms and produces pieces of advice. MedWhat instead uses EMR (medical records) to assist the patient as it was a virtual doctor, and Babylon gives medical advice taking care of tight budget constraints. Insurify is another personal insurance agent who works as a comparator for car insurances.
What today is called simply chatbot is going to be renamed in a few years robo-insurer. There are already few examples of companies toward that goal: Risk Genius is indeed an intelligent comparator which identifies gaps in coverage for the customer and PolicyGenius looks for the best solution that fits customer’s needs and characteristics, while Drive Spotterimplements real-time video analytics to keep drivers safe(r). More generally, robo-insurers will be a quite wide class of agents who will end up providing different services, all of them with the final goal of helping the clients to undertake risk-mitigating actions and only cover the real (residual) risks.
Customers engagement: Oscar is probably the most successful insurtech company out there, with the final goal of making insurance simple and accessible to everyone through a great UX. Similar to Oscar is somehow Stride Health, while Brolly is a tool that helps customers in understanding their own needs and facilitates in one place all the insurance coverages in place, in a similar fashion to Knip. Adtelligence instead creates personalized offers and relevant products based on customer’s characteristics. Captricityuses machine learning to convert handwritten files into structured data, and this can be used to better understand the final customer. Finally, ValChoiceranks the service of insurers to the benefit of the client.
Telematics: connected cars and telematics is a pretty big area itself (see CBinsights article to know more about it), but it would be worthy to point out the work that Greenroad, Vnomics, and Telogis are doing in capturing driving behaviors and habits as well as computing fuel efficiency. Cambridge Mobile Telematics works similarly, although it uses smartphone data and mobile devices habits. Navdy is trying to revolutionizing the UI/UX within vehicles, displaying information in such a way that the driver does not get distracted. Lytx uses vision technology to provide real-time feedbacks to the driver.
Underwriting: AI can be (and actually is) used to spot out hidden correlations to granularly segment customers and risks in a more efficient way. Even though it might in theory possible to identify some algos that could perform better than others (see the work Wipro did for fraud detection), data always come first, at least for the next close future. Many companies operate in the space, as for instance Carpe Data that provides predictive algorithms and data products for property and casualty and life insurances through the analysis of public data (e.g., social media data). Atidot created a machine learning risk management platform, while Tyche uses unstructured data to optimize the underwriting and claims process. Big Cloud Analytics collects data from wearables and formulates health scores for a better risk assessment, while Cape Analytics uses computer vision techniques on geospatial data to improve the level of detail on current houses conditions. Dreamquark creates a more accurate representation of the medical datasets to be used for underwriting purposes by insurances, similarly to FitSense that offers also apps products. Melody Health Insurance provides also low-cost insurances, while Uvamo uses AI to assess the risk of policy applications. A more accurate underwriting can even translate into covering events that are today quite risky (e.g., as MeteoProtect and Praedicat, and are doing for weather risk management).
Finally, on a side, it is worthy to point out to pure technological enablers as Instanda, which offers a management tool to the insurance providers to manage effectively and timely new products launched; Insly, a cloud-based platform for insurance brokers; and finally, SimpleInsurance is instead an e-commerce provider for product insurances.
P2P insurance: Lemonade, Friendsurance, and Guevara are peer-to-peer insurance startups focusing respectively on property and casualty insurance the first two, and car insurance the latter one.
Insurchain & Smart Contracts: these are companies in the insurance sector that are driven by blockchain technology. Elliptic offers real-time AML for bitcoin specifically, while Everledger is a permanent immutable ledger for diamond certification. Luther Systems is instead a stealth-mode company working on the standardization of smart contracts. Dynamis provides a P2P supplementary unemployment insurance product, while Saldo.mx provides micro-insurance policies on the blockchain. SafeShare covers multiple parties with insurance cover at short notice and for varying periods, and finally, Teambrella is another P2P insurance platform run on the blockchain.
Insurance on-demand: this class of startups put in customers’ hand the entire insurance buying process. Trov is probably the best example of this new class of players and it allows to ensure things by simply taking a picture of them. Cuvva is quite similar but with a focus on car insurance, Sure and Airsurety on travel policies, and Back me up is another example of on-demand insurance. But this class does not include only the proper on-demand business model, but also insurance startups which provide products that vary by location, time, use, or customer. In other words, pay-per-mile business model (Metromile), micro-insurance policies (Neosurance), or eventually Insurance-as-a-service models (Digital Risks).
See also: 2017 Priorities for Innovation, Automation
IV. Concluding ThoughtsYan identifies four elements which constitute the insurance profit structure: premium earned and the investment income from one hand, and underwriting cost and claim expenses from the other. AI is and will be able to improve the cost structure, increasing at the same time the competitiveness and enlarging the customer base accessible to insurers, while optimizing internal processes and enhancing the transparency and robustness of the compliance flow.
The greatest challenge I still see in insurance is the cultural mindset which might prevent insurance to adopt early AI solutions, although this won’t probably have a long life given the incredible pressure to innovate the insurance providers are undergoing through. This article was originally published on Medium.com.
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Francesco Corea is a complexity scientist and AI technologist. Corea is an editor at Cyber Tales and is a strong supporter of an interdisciplinary research approach. He wants to foster the interaction of different sciences in order to bring to light hidden connections. Corea is a former Anthemis Fellow, IPAM Fellow, and he is getting his PhD at LUISS University.
What is it called when someone—other than a millennial—feels the need to explain who millennials are? Boomer-splaining?
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Gabrielle Bosché began the Millennial Solution when she was 25 years old. She helps managers optimize their Millennial talent as well as empower Millennials to excel at their workplace and beyond. She offers workshops on engaging Millennials at work and regularly speaks on generational collaboration and how to manage and motivate the next generation. She runs an international training and consulting company working with a broad range of clients – from automotive giants to boutique media shops to the United States government.
Fortunately, for insurance executives, there is an antidote (seven, in fact) for the anxiety that comes with trying to transform.
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Karen Pauli is a former principal at SMA. She has comprehensive knowledge about how technology can drive improved results, innovation and transformation. She has worked with insurers and technology providers to reimagine processes and procedures to change business outcomes and support evolving business models.