How Sharing Economy Can Fuel Growth
How will a radically shifting market, where borrowing and lending are more prevalent, open doors for commercial and specialty insurers?
How will a radically shifting market, where borrowing and lending are more prevalent, open doors for commercial and specialty insurers?
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Denise Garth is senior vice president, strategic marketing, responsible for leading marketing, industry relations and innovation in support of Majesco's client-centric strategy.
What I want to explore today are application programming interfaces, or APIs, but the term is off-putting—technical and perhaps even intimidating. So, let's start with two maxims from Silicon Valley that frame the issue in a friendlier way. Then, we'll look at how a radical approach to APIs has helped Amazon be a mega-success, how they are leading to redesigns for car makers and how they could drive broad innovation in insurance. Lemonade—surprise, surprise—offers an early example of what's possible.
The two maxims:
"Software is eating the world." — Marc Andreessen, a prominent venture capitalist who created the first commercial internet browser more than 20 years ago.
"No matter who you are, not all the smart people work for you." — Bill Joy, a co-founder of Sun Microsystems who wrote the version of the Unix operating system that made it widely popular and who is now a venture capitalist.
Looked at from an insurance perspective, I see Andreessen saying: If you want to be the eater, not the eaten, you need to turn your business into software. Stop thinking about having factories that churn out paper full of legalese and imagine insurance as software. I see Joy saying: Figure out how you can fit into an ecosystem and draw on all those smart people who work for somebody else.
Those two maxims lead to APIs, because they are the technical expression of how you turn your business into software and how you coordinate with all those other smart people. Get the API issue right, and other problems fall away.
APIs are really just definitions of how pieces of software will work with other pieces of software. You're writing an app that needs to include a calculator? You check the API for that calculator object and make sure your app talks to that object in the way it specifies. You don't talk the equivalent of English if the object speaks the equivalent of Spanish. You don't spell "favor" as "favour" if the object speaks the equivalent of American English, not British English.
The magic of APIs is that they're so detailed that all the complexity behind them is hidden. If I want to collaborate with you on something related to software, I don't have to get into long conversations about governance or coordination. I can just say: "Here is my API." You then make sure that you meet the specs, and we're good. You get to draw on all my smart people, and I get to draw on yours.
That's the Joy's Law piece of the puzzle. The Andreessen piece requires specifying APIs for as much of your business as possible. Set up underwriting so that someone with a great bit of software for understanding some type of risk can just plug in once you share your API with the company. (Many APIs are public, but they don't need to be.) Set up claims so that someone with a new way of spotting fraud can just plug in.
Rethinking your business as a software platform or operating system will take some serious effort but will pay huge dividends. Just look at tech giants like Microsoft, Google and Facebook to see the benefits of being able to absorb others' innovations.
Amazon may have taken the most radical approach to APIs. From its early days, Amazon had all parts of its business express themselves as APIs. In other words, they specified, in software, how they would export information and how they would import it, what capabilities they offered and what they needed, etc. All communication had to happen through these interfaces. The specificity simplified coordination both inside Amazon and with outsiders. And the approach seems to have worked out okay....
Car companies, which have always struck me as insurance-like in their determination to do everything in-house, are finding that they can no longer deny the power of APIs. For instance, historically, car makers designed every single detail of the dashboard -- the entertainment system, perhaps mapping, etc. Now, they are finding that people increasingly want an Ox Cord (a term that I assume began as "auxiliary cord," or "aux cord"). Customers want to be able to plug a smartphone into the dashboard to run their own entertainment, mapping, etc. Car companies are responding by designing dashboards that function more as a screen and speakers and by publishing APIs that define how those smartphone connections can happen. The companies will lose some control but wind up with far more robust systems -- and happier customers.
Lemonade is publishing APIs that will let it cross traditional insurance-industry boundaries and easily collaborate with outsiders that might help sell its products. Why just rely on agents or a website when you can have realtors, for instance, seamlessly direct people to you as part of a rental or purchase?
What Lemonade is doing should be just the beginning of more fundamental innovations—at least, if I'm right that lots of the boundaries between traditional product lines will blur or even go away. For instance, life insurance has historically been sold as a separate product to protect a family if the primary breadwinner died but increasingly will, I believe, be incorporated into financial planning. Thinking of life insurance, investment vehicles, benefits programs, etc. as software, not products, and specifying APIs will greatly simplify the sort of combination and innovation that I believe must happen.
If you develop an API-based strategy, you will greatly improve your chances of being the diner, not the dinner.
Cheers,
Paul Carroll,
Editor in Chief
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Paul Carroll is the editor-in-chief of Insurance Thought Leadership.
He is also co-author of A Brief History of a Perfect Future: Inventing the Future We Can Proudly Leave Our Kids by 2050 and Billion Dollar Lessons: What You Can Learn From the Most Inexcusable Business Failures of the Last 25 Years and the author of a best-seller on IBM, published in 1993.
Carroll spent 17 years at the Wall Street Journal as an editor and reporter; he was nominated twice for the Pulitzer Prize. He later was a finalist for a National Magazine Award.
Why would a customer risk choosing an insurtech over a traditional player with a long-held reputation for being well-capitalized?
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Stephan Karpischek is a cofounder of Etherisc, an insurtech company building a platform for decentralized insurance applications. Etherisc has won numerous prestigious startup technology awards for its blockchain and insurance innovation.
With cyber crime damage estimated to touch $6 trillion annually by 2021, the stakes have never been higher.
Today’s cyber criminals are sophisticated, and the attacks they launch are unpredictable.
Enterprises would do well to ensure continuous monitoring of the network environment. They would also do well to manage the implemented security controls on a proactive basis.
An effective network monitoring system offers end-to-end visibility of the network traffic. It:
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Tony Joseph believes in building technology around processes, rather than building processes around technology. At <a href="https://www.fingent.com">Fingent</a>, he specializes in custom software development, especially in analyzing processes, refining it and then building technology around it.
One inmate per week is released due to new evidence from scientific advancements, and the legal recovery averages $10 million per inmate.
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John Kelly currently serves as senior vice president in the public entity solutions department for HUB International in their Norwell and Wilmington, MA, offices. He is responsible for managing accounts in the New England region and consults with public entity customers.
Cyber is more unusual, more uncertain and more potentially dangerous for the insurance industry than new offerings of the past.
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Donna Galer is a consultant, author and lecturer.
She has written three books on ERM: Enterprise Risk Management – Straight To The Point, Enterprise Risk Management – Straight To The Value and Enterprise Risk Management – Straight Talk For Nonprofits, with co-author Al Decker. She is an active contributor to the Insurance Thought Leadership website and other industry publications. In addition, she has given presentations at RIMS, CPCU, PCI (now APCIA) and university events.
Currently, she is an independent consultant on ERM, ESG and strategic planning. She was recently a senior adviser at Hanover Stone Solutions. She served as the chairwoman of the Spencer Educational Foundation from 2006-2010. From 1989 to 2006, she was with Zurich Insurance Group, where she held many positions both in the U.S. and in Switzerland, including: EVP corporate development, global head of investor relations, EVP compliance and governance and regional manager for North America. Her last position at Zurich was executive vice president and chief administrative officer for Zurich’s world-wide general insurance business ($36 Billion GWP), with responsibility for strategic planning and other areas. She began her insurance career at Crum & Forster Insurance.
She has served on numerous industry and academic boards. Among these are: NC State’s Poole School of Business’ Enterprise Risk Management’s Advisory Board, Illinois State University’s Katie School of Insurance, Spencer Educational Foundation. She won “The Editor’s Choice Award” from the Society of Financial Examiners in 2017 for her co-written articles on KRIs/KPIs and related subjects. She was named among the “Top 100 Insurance Women” by Business Insurance in 2000.
Blockchain has huge potential, but only if all insurance industry organizations work together for the greater good.
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Thiru Sivasubramanian is the VP of architecture and technology strategy at SE2. Prior to SE2, he held technology leadership roles at Salesforce.com, Tata Consultancy Services and Torry Harris Business Solutions.
U.S. healthcare is too complex to be solved with a silver bullet, but here are three ways that insurtech can tackle some big issues.
And about a day later, an email from my agent that said this:
Well, neither one of these were very encouraging.
I started with the Covered CA website and PolicyGenius to do my search to see what carriers/plans were available.
As I went through both sites, I realized that I was going through a modified needs analysis (these questions were a combination of what I went through on both sites):
Before I go into the summary, a quick note on Oscar.
I took a serious look at Oscar a consideration for my health Insurance.
Not only did I read through their policy and network coverages (as they were cheaper than every other network out there), but I did all the research on Oscar that I would do for any other start-up I would consider working with for my work outside of Daily Fintech.
I started with the Coverager Companies tab (especially the News tab, where I like to see to see their past reporting of the company which usually outlines the good, bad and ugly of the company itself). I also read the Oscar Health Strategy teardown from CB Insights. I read consumer reviews and even asked my doctors and their receptionists about dealing with Oscar. I did not do this much research for any other company I was considering (even though there were only 2 PPO providers from my initial search, I still took a quick look at all 6 providers in California…).
Ultimately, I think they are really on to something and I salute them for going after such a big and complex area (both in terms of product line and geographic area of that line!). I would encourage everyone to read the teardown above to see what some of their strategies are. Tackling US health Insurance is no easy feat, and they did take a long term view as described below:
While I do like them and some of the things they are doing, the reviews are not up to scratch yet. My guess is that the long term view somewhat backfired on them, as customer expectation for a product that is so highly despised by many would have to have a real good experience very early on.
I have had real good experience with my current carrier and they are the most well known/biggest in my state. As such, I’ll likely need to stick with them. Health Insurance is too important to try something new on in my opinion.
I do think Oscar is very well positioned for the future, and they have outlined their strategy clearly above. Building of an Insurance company takes time. Health is a whole other animal. Health in the US…well, that’s just going right for the gullet. But, if done right, it can be a big prize (not only monetarily, but also for the sanity and health of US citizens!). I’ll definitely be keeping en encouraging watchful eye on them.
Summary: It’s Complicated…
As I was preparing for this article, I read a few posts on Daily Fintech last year from Amy Radin, which I encourage you to read in conjunction with this post. I have included them at the end for easy reference.
In her first post, she mentions four lenses to look at when it comes to US health Insurance: ‘the health of the American people, marketplace trends, the role of regulation, and the players’.
In her second post, she mentions that ‘Incumbent health insurers are pursuing legacy tactics to compete in the ACA world: M&A…; increasing premiums …; and reevaluating participation in the public exchanges…
As well as ‘the root of user pain points can influence how plans are selected and health care is consumed’:
# 1 People don’t see value because they don’t understand what they are buying.
# 2 People are being held accountable for health decisions that they are not equipped to handle.
# 3 People don’t always make rational decisions.
Fast forwarding 15 months since her last posts, other than some slight changes announced earlier this year and the recent subsidy cuts, not much has changed in terms of health of Americans, incumbent tactics and pain points for users.
See also: Healthcare: Need for Transparency
Currently, CVS and Aetna are working on a merger. It is rumored that Amazon is trying to expand into pharmaceutical sales as well (not to mention it’s other Insurance aspirations). It’s also no secret that Apple has been preparing itself for a run at health care too. Are all of these in the name of helping out the customer or just trying to get a slice of a pie that is so huge that everyone in the tech industry can taste it?
Recommendations for Insurtechs
Given that current regulation is both stringent and has an unknown future, it can be challenging for Insurtech start-ups to know where to start. However, here are a few areas where I think can help the US health Insurance value chain, irrespective of regulation:
I know the motto of many entrepreneurs/founders out there revolves around solving challenging problems, so, despite my feelings at the moment about US health Insurance, I am confident about the future of it!!
This article was originally published on Daily Fintech.
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Stephen Goldstein is a global insurance executive with more than 10 years of experience in insurance and financial services across the U.S., European and Asian markets in various roles including distribution, operations, audit, market entry and corporate strategy.
From buying vegetables to searching for prospective life partners, Indians have found a convenient alternate in the form of websites and apps.
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Varun Dua is the founder and CEO of Acko General Insurance and was a co-founder of Coverfox Insurance and has brought in good technology practices to the insurance industry in India.
Cyber insurance without automated cybersecurity is like fire insurance without smoke detectors. But we need new tools.
Hackers, malware, viruses, ransomware and phishing emails are becoming a normal part of increased connectivity, and their impact on everyday life is growing. The result is a profound increase in the demand for cyberinsurance. The downside? Cyberinsurance is hard to price as risk potential is not well understood, and losses can enter into the millions of dollars. Moreover, businesses with cyberinsurance may be lulled into complacency by their coverage. They shouldn’t be. Just reimbursing the costs of damage after a cyberattack isn’t smart business—smart businesses seek to prevent the cyberattack from occurring.
Enterprises do this at great expense, with costly, complex tools and teams beyond the reach of small and medium-sized enterprises (SME). SMEs need automated cybersecurity for cost-effective, full protection. That’s because cyberninsurance is insufficient to protect a business: It isn’t a substitute for good business practices that work in concert with cybersecurity. In short, cyber insurance and cybersecurity must complement each other to provide what businesses really want: peace of mind at predictable costs.
Cyber Safety Is as Essential as Fire Safety
Think of it like this: You wouldn’t protect a business from a fire simply by buying a fire insurance policy. Best practice fire safety includes smoke alarms, fire extinguishers, fire-retardant building materials, a designated gathering spot and regular fire drills. On the other side of the coin, governments have adopted fire safety building codes, and insurers don’t sell fire insurance without verifying fire safety compliance: Fire extinguishers, smoke detectors and sprinklers must be installed and properly maintained.
See also: Cybersecurity Holes in Connected Cars
Similar businesses practices are necessary for cyber protection. But the technology has not caught up with business needs. Many cyber insurance policies are written without accurately measuring the risks that make a business vulnerable to a cyber attack. A one-time snapshot of the number and type of data records, or even a more full-fledged review of internal and external systems, is inadequate to assess risk. Technology evolves too quickly for these snapshots or scores to be valid over time. The moment a system needs upgrading, data may be at risk. The moment a new virus begins to spread, businesses are vulnerable. As long as a patch is not applied, systems and data are exposed. These big changes to risk affect the underwriting assumptions. It’s a shifting landscape, one that requires that businesses remain constantly vigilant. Automated cybersecurity technology is more effective than people at monitoring and addressing threats. In short, cyber insurance without automated cybersecurity is like fire insurance without smoke detectors.
Cyber Risk Models Need Much More Data
Automated cybersecurity platforms that detect and protect against cyber attacks are also useful to measure risk over time. Telematics let auto insurers such as Progressive and Metromile more accurately measure risk—and price accordingly. We need new “cyber-telematics” that allow underwriters to more accurately measure cyber risk. They provide risk insights about the insured, enabling the development of rich aggregate risk models. Cyber-telematics also helps underwriters develop risk models from the measurements correlated with cyber risk—and see the red herrings that aren’t. Cyber-telematics answers industry concerns noted in a March 2017 Property Casualty 360 article that “the insurance industry faces a rampant reporting bias that is hard to translate into policies.”
Without a thorough understanding of the profound risk being underwritten, losses are unpredictable—and potentially catastrophic. Insurers have long understood the impact of underestimating exposure aggregation with respect to natural disasters and other correlated losses like terrorism or asbestos claims. Of these, Towers Watson wrote, “The difference is that the terrorist attack is a single event and not a decades-long process, and the losses will be recognized and paid much more quickly.” The same, or worse, should be expected of large-scale single cyber events.
Technology is essential to collecting the data for, then understanding, mitigating and accurately modeling cyber risk.
Large enterprises have massive budgets, and most create a custom cybersecurity system using expensive experts and tools from multiple vendors. This has made it much harder to penetrate their defenses. As a result, hackers have moved down the food chain, making small and medium-sized businesses especially vulnerable. These businesses face the potential of a business-ending event in the face of a cyber attack.
Automation is the right answer when people and systems aren’t available or affordable. SMEs need automated cybersecurity to reduce risk and reduce cost. Current solutions are simply too expensive in terms of staffing and too complex in terms of tool integration. With automated cybersecurity, SMEs receive the benefit of robust machine learning coupled with economies of scale that take advantage of the cost efficiencies introduced by automation. For insurers, automation enables data gathering that informs robust risk management models, providing key insights to identify and mitigate loss potential.
See also: How to Eliminate Cybersecurity Clutter
According to Hiscox data, 60% of smaller companies in the U.S. reported one attack or more in the last 12 months—and 72% of larger companies. In the U.S., the average estimated cost of an organization’s largest cyber incident was $35,967 for 99 or fewer employees and $102,314 for 1,000 or more employees. However, a November 2017 Property Casualty 360 article reports that “in the aftermath of an incident, SMBs spent an average of $879,582 due to damage or theft of IT assets; additionally, disruption to normal operations cost an average of $955,429.” This wide variance in the reported cost of cyber incidents reflects uncertainty among insurers.
The Hiscox report further observes, “While big firms incur the highest costs in nominal terms, the financial impact of cyberattacks is disproportionately high for the very smallest companies.” Because these “smallest companies” can least afford effective cybersecurity, they need automated solutions. Let the machines do the work.
Peace of Mind
Cyberinsurance complemented by automated cybersecurity is key to modern business—neither is sufficient on its own. SMEs are better protected with the complement of these tools. A simple metaphor is the modern automobile. Today’s cars don’t simply provide airbags to react to accidents, they include technologies to avoid accidents: anti-lock braking systems (ABS), blind spot monitoring, lane departure warnings and more. Modern cybersecurity and cyber insurance are similar complements: Airbags cushion the blow, much as a rapid response can limit the losses from a cyberattack, and automated cybersecurity monitors networks and protects SMEs, much as accident prevention systems protect drivers.
Modern technology demands the next evolution of cyber insurance and cybersecurity measures, similar to the evolution of fire insurance and car safety technology. Effective, automated cybersecurity technologies, coupled with comprehensive cyber insurance, are needed for real peace of mind against cyber attacks.
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Fiona Artiaga is a content developer/technical writer with a passion for communication and cross-functional relationship development. She is experienced with both early-stage startups and high-growth development organizations.