The Hidden Issue in Facebook Dispute
Fine words about protecting privacy don't mask how consumers are being denied decision-making power about their own data.
Fine words about protecting privacy don't mask how consumers are being denied decision-making power about their own data.
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Paul Laughlin is the founder of Laughlin Consultancy, which helps companies generate sustainable value from their customer insight. This includes growing their bottom line, improving customer retention and demonstrating to regulators that they treat customers fairly.
In workers' comp, predictive analytics based on your historical data can measure what costs would have been without your interventions.
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Karen Wolfe is founder, president and CEO of MedMetrics. She has been working in software design, development, data management and analysis specifically for the workers' compensation industry for nearly 25 years. Wolfe's background in healthcare, combined with her business and technology acumen, has resulted in unique expertise.
Reporting is complex, and, if the injured party fails to report properly, he runs the risk of having benefits denied.
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Marques is the Chief Executive Officer of Ametros, a company that provides post-settlement medical management tools to help individuals navigate healthcare. Torbert leads the rapid growth of Ametros and champions the company’s constant improvement and dedication to extraordinary service. He has extensive experience as an investor, adviser and strategist within the insurance and business services sector.
Porter Leslie is the president of Ametros. He directs the growth of Ametros and works with its many partners and clients.
In small commercial, carriers must look beyond their portfolios and optimize the whole value chain.
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Andrew Robinson is an insurance industry executive and thought leader. He is an executive in residence at Oak HC/FT, a premier venture growth equity fund investing in healthcare information and services and financial services technology.
Francois Ramette is a partner in PwC's Advisory Insurance practice, with more than 15 years of strategy and management consulting experience with Fortune 100 insurance, telecommunications and high-tech companies.
Jamie Yoder is president and general manager, North America, for Sapiens.
Previously, he was president of Snapsheet, Before Snapsheet, he led the insurance advisory practice at PwC.
What became apparent in 2016 is that insurtech advancements and the forces of change may not see any significant slowdown.
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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.
A key rule to keep in mind when thinking about insurtechs: Data is nothing – context is everything.
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Conny Dorrestijn is a board member of Holland FinTech. She has worked for more than 25 years in marketing and business development roles in the international financial technology industry. She currently is responsible for global payments marketing at FIS.
The insurance purchase cannot (and should not) be reduced to a Facebook like or an Amazon-like “1-Click” purchase.
“The first is customers, who have grown accustomed to an easy, Facebook-like experience in interacting with large service providers.”Insurance transactions are not equivalent to Facebook “likes.” Technology as a communications tool is fine. I only communicate with my agent via email. It’s easy, it’s 24/7, and it’s documentation of our communication, something that has paid off for me more than once in the last 25-plus years. See also: Top 10 Insurtech Trends for 2017 But technology is only a tool. It’s a means to an end, not an end in and of itself. The insurance purchase cannot (and should not) be reduced to an Amazon-like “1-Click” purchase. Consumers are not buying crew socks or body lotion on the internet, they’re entering into a complex, legal contract that, if not properly executed after identifying their unique exposures to loss, could result in catastrophic financial loss. Lives could be ruined, families destroyed. This is serious stuff, not the subject of goofy box store clerks and prancing lizards. If I make a bad decision buying a Bluetooth speaker online, I might be out $30 or the inconvenience of returning it. If I make a bad decision buying insurance online, I could lose almost everything I own and 25% of my income for the next 20 years. No matter how consumers have grown accustomed to an easy, Facebook-like experience online, there is more to the “insurance experience” than the purchasing component. Just ask anyone who has ever had a significant claim, especially one that didn’t go so well. Then, there’s this in the article:
"New algorithms for predicting risk, for example using machine learning, will allow for vast automation of the underwriting process, and managing contracts and identities with the blockchain will reduce the resources needed for fraud detection."What it may also enable is “black box” discrimination, even if unintended, because no one knows for sure what those algorithms are using to make underwriting decisions. And, if your insurance premium is based on 600 “big data” factors, how do you know what impact each factor had on your premium or what you can do to control your premium? One might argue, as do data analytics businesses selling their services, that this is somehow good for the insurance company…but what about the consumer? Then we have:
"The second source of pressure comes from competitors. Not only will consumers be more likely to give their business to a digital-native insurer, but entire new kinds of exposure are opening that will give a challenger an opportunity to strike. The cybersecurity market is growing everywhere, along with the pressure to contain and manage the risk better, yet traditional insurers are slow to make convincing offers to threatened customers."One reason insurers are slow to respond is that developing an insurance premium that is, by law, adequate, not excessive, and not unfairly discriminatory is very difficult to do for a brand new type of exposure or one that is evolving almost daily. If you can’t price the coverage, you can’t determine what the coverage should be or not be. Insurers caught flack for not responding quickly to the Uber phenomenon. According to some, two early insurers that responded with broad, inexpensive coverage quickly took a beating with two $1 million-plus claims because they didn’t understand the exposure, overinsured it and underpriced it. See also: All Insurers Must Become Insurtechs Technology can be a cool tool, but it is not the be-all, end-all savior or nemesis of the insurance industry. Insurance has always been and will most likely always be a mechanism for assisting consumers and businesses in identifying their exposures to loss and enabling them to manage them without going bankrupt. We must always keep that mission in mind no matter what the revolutionary new idea du jour might be.
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William C. Wilson, Jr., CPCU, ARM, AIM, AAM is the founder of Insurance Commentary.com. He retired in December 2016 from the Independent Insurance Agents & Brokers of America, where he served as associate vice president of education and research.
You and I and other taxpayers are going to foot the bill, as will employers. But I have a modest proposal. Let's make the pill-pushers pay.
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Joseph Paduda, the principal of Health Strategy Associates, is a nationally recognized expert in medical management in group health and workers' compensation, with deep experience in pharmacy services. Paduda also leads CompPharma, a consortium of pharmacy benefit managers active in workers' compensation.
Manufacturers must be held to strict standards -- but also must be protected from litigation that would kill innovation.
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Vivek Wadhwa is a fellow at Arthur and Toni Rembe Rock Center for Corporate Governance, Stanford University; director of research at the Center for Entrepreneurship and Research Commercialization at the Pratt School of Engineering, Duke University; and distinguished fellow at Singularity University.
Waymo (Google) logged 635,000 miles on California’s public roads in 2016; all competitors combined logged 20,000.
As the W. Edwards Deming principle that is popular in Silicon Valley goes, “In God we trust, all others bring data.” The data shows that Waymo is not only 615,000 miles ahead of its competitors but that those competitors are still neophytes when it comes to proving their technology on real roads and interacting with unpredictable elements such as infrastructure, traffic and human drivers.
Now, there are lots of ways to cut the data and therefore a lot of provisos to the simple test-miles-driven heuristic.
Waymo also leads the others in terms of fewer “disengagements,” which refers to when human test drivers have to retake control from the driverless software. Waymo's test drivers had to disengage 124 times, or about once very 5,000 miles.
Other companies were all over the map in terms of their disengagements. BMW had one disengagement during 638 total miles of testing. Tesla had 182 disengagements in 550 miles. Mercedes-Benz had 336 disengagements over 673 miles. Fewer miles might mean fewer edge cases were encountered, or it might mean that those companies tested particularly difficult scenarios. But, low total miles driven casts doubt on the readiness of any system for operating on public roads. Until other contenders ramp up their total miles by a factor or 1,000 or more, their disengagement statistics are not statistically relevant.
Tesla fans could rightly point to the more than two hundred million miles that Tesla owners have logged under Tesla’s Autopilot feature. Those miles are not considered here. (Autopilot is not defined as autonomous under California law, so Tesla is not required to report disengagements to the California DMV.) But, no doubt, all those miles means that Tesla’s Autopilot software is probably very well trained for highway driving.
What do those highway miles tell us about Tesla’s ability to handle city streets, which are more complex for driverless cars? Not much, but the 550 miles that Tesla did spend on public road autonomous testing speaks volumes about its dearth of experiential learning on city streets. (Ed Niedermeyer, an industry analyst, recently argued that most of Tesla's 550 miles were probably logged while filming one marketing video.)
See also: Novel Solution for Driverless Risk
It should also be noted that the reported data applies only to California; it does not account for testing in other active driverless hubs—such as Waymo’s test cars in Austin, TX, Uber’s driverless pilots in Pittsburgh or nuTonomy’s testing in Singapore (just to name a few). It is safe to guess, however, that a significant percentage of all autonomous testing has been logged in California.
Notably missing from the reports to the California DMV are all other Big Auto makers and suppliers—and other players cited or rumored as driverless contenders, like Apple and Baidu. They might well be learning to drive on private test tracks or outside of California. But, until they bring data about their performance after significant miles on public roads, don't trust the press releases or rumors about their capabilities.
Waymo’s deep experience in California does not guarantee its victory. Can it stay ahead as others accelerate? That remains to be seen, but it is clear from the California DMV reports that Waymo is way ahead on the driverless learning curve.
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Chunka Mui is the co-author of the best-selling Unleashing the Killer App: Digital Strategies for Market Dominance, which in 2005 the Wall Street Journal named one of the five best books on business and the Internet. He also cowrote Billion Dollar Lessons: What You Can Learn from the Most Inexcusable Business Failures of the Last 25 Years and A Brief History of a Perfect Future: Inventing the World We Can Proudly Leave Our Kids by 2050.