How Good Is Your Cybersecurity?
The recent shutdown of the New York Stock Exchange underscores the need for cybersecurity. Here are four tips to improve yours.
The recent shutdown of the New York Stock Exchange underscores the need for cybersecurity. Here are four tips to improve yours.
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Judy Selby is a principal with Judy Selby Consulting LLC and a senior advisor with Hanover Stone Partners LLC. She provides strategic advice to companies and corporate boards concerning insurance, cyber risk mitigation and compliance, with a particular focus on cyber insurance.
It can be seven times as expensive to acquire a new client as to keep an existing one, so carriers must focus on customer retention.
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Denise Olivares is an accomplished product and marketing executive with global experience and proven results working for healthcare, insurance and data organizations including CIGNA and LexisNexis. She is currently consulting with Windy Hill Group.
Employers now face a Catch 22 on background checks: Don't check, and risk employee fraud, or check, and possibly face an EEOC lawsuit.
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Laura Zaroski is the vice president of management and employment practices liability at Socius Insurance Services. As an attorney with expertise in employment practices liability insurance, in addition to her role as a producer, Zaroski acts as a resource with respect to Socius' employment practices liability book of business.
When Milton Friedman said -- and American leaders believed -- that companies had no social responsibilities, he made a major error.
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Colin Baird provides Kaizen training to improve operational efficiency (lean manufacturing) programs. A speaker as well as a writer, his articles on continuous improvement appear frequently in Chief Executive magazine, CEO.Com, Leadership Excellence and Public Sector Digest.
The Jeopardy win by IBM's Watson was just the start; it and other technologies are at the point where they can automate knowledge jobs.
Things got much more interesting in 2011, when IBM’s Jeopardy-playing computer Watson defeated Ken Jennings, who held the record of winning 74 Jeopardy matches in a row, and Brad Rutter, who has won the most money on the show. Winning at Jeopardy required Watson to understand clues in natural spoken language, learn from its own mistakes, buzz in and answer in natural language faster than the best Jeopardy-playing humans. According to IBM, ”more than 100 different techniques are used to analyze natural language, identify sources, find and generate hypotheses, find and score evidence and merge and rank hypotheses.” Now that’s impressive -- and much more worrisome for those employed as knowledge workers.
What do game-playing computers have to do with white collar, knowledge jobs? Well, Big Blue didn’t spend $1 billion developing Watson just to win a million bucks playing Jeopardy. It was a proof of concept and a marketing move. A computer that can understand and respond in natural language can be adapted to do things we currently use white collar, educated workers to do, starting with automating call centers and, sooner rather than later, moving on up to more complex, higher-level roles, just like we have seen with automation of blue collar jobs.
In the four years since its Jeopardy success, Watson has continued advancing and is now being used for legal research and to help hospitals provide better care. And Watson is just getting started. Up until very recently, the cost of using this type of technology was in the millions of dollars, making it unlikely that any but the largest companies could make the business case to replace knowledge jobs with AIs (artificial intelligence). In late 2013, IBM put Watson “on the cloud,” meaning that you can now rent Watson time without having to buy the very expensive servers.
Watson is cool but requires up-front programming of apps for very specific activities and, while incredibly smart, lacks any sort of emotional intelligence, making it uncomfortable for regular people to deal with it. In other words, even if you spent the millions of dollars to automate your call center with Watson, it wouldn’t be able to connect with your customer, because it has no sense of emotions. It would be like having Data answering your phones.
Then came Amelia…
Amelia is an AI platform that aims to automate business processes that up until now had required educated human labor. She’s different from Watson in many ways that make her much better-suited to actually replace you at the office. According to IPsoft, Amelia aims at working alongside humans to “shoulder the burden of tedious, often laborious tasks.”
She doesn’t require expensive up-front programming to learn how to do a task and is hosted on the cloud, so there is no need to buy million-dollar servers. To train her, you literally feed her your entire set of employee training manuals, and she reads and digests them in a matter of a few seconds. Literally, just upload the text files, and she can grasp the implications and apply logic to make connections between the concepts. Once she has that, she can start working customer emails and phone calls and even recognize what she doesn’t know and search the Internet and the company’s intranet to find an answer. If she can’t find an answer, then she’ll transfer the customer to a human employee for help. You can even let her listen to any conversations she doesn’t handle herself, and she literally learns how to do the job from the existing staff, like a new employee would, except exponentially faster and with perfect memory. She also is fluent in 20 languages.
Like Watson, Amelia learns from every interaction and builds a mind-map that eventually is able to handle just about anything your staff handled before. Her most significant advantage is that Amelia has an emotional component to go with her super brains. She draws on research in the field of affective computing, “the study of the interaction between humans and computing systems capable of detecting and responding to the user’s emotional state.” Amelia can read your facial expressions, gestures, speech and even the rhythm of your keystrokes to understand your emotional state, and she can respond accordingly in a way that will make you feel better. Her EQ is modeled in a three-dimensional space of pleasure, arousal and dominance through a modeling system called PAD. If you’re starting to think this is mind-blowing, you are correct!
The magic is in the context. Instead of deciphering words like insurance jargon when a policyholder calls in to add a vehicle or change an address, IPsoft explains that Amelia will engage with the actual question asked. For example, Amelia would understand the same requests that are phrased different but essentially mean the same thing: “My address changed” and “I need to change my address.” Or, “I want to increase my BI limits” and “I need to increase my bodily injury limits”.
Amelia was unveiled in late 2014, after a secretive 16-year-long development process, and is now being tested in the real world at companies like Shell Oil, Accenture, NNT Group and Baker Hughes on a variety of tasks from overseeing a help desk to advising remote workers in the field.
Chetan Dube, long-time CEO of IPSoft, Amelia’s creator, was interviewed by Entrepreneur magazine:
“A large part of your brain is shackled by the boredom and drudgery of everyday existence. [...] But imagine if technology could come along and take care of all the mundane chores for you, and allow you to indulge in the forms of creative expression that only the human brain can indulge in. What a beautiful world we would be able to create around us.”
His vision sounds noble, but the reality is that most of the employees whose jobs get automated away by Watson, Amelia and their successors, won’t be able to make the move to higher-level, less mundane and less routine tasks. If you think about it, a big percentage of white collar workers have largely repetitive service type jobs. And even those of us in higher-level roles will eventually get automated out of the system; it’s a matter of time, and less time than you think.
I'm not saying that the technology can or should be stopped; that’s simply not realistic. I am saying that, as a society, there are some important conversations we need to start having about what we want things to look like in 10 to 20 years. If we don’t have those discussions, we are going to end up in a world with very high unemployment, where the very few people who hold large capital and those with the STEM skills to design and run the AIs will do very well, while the other 80-90% of us could potentially be unemployable. This is truly scary stuff, McKinsey predicts that by 2025 technology will take over tasks currently performed by hundreds of millions of knowledge workers. This is no longer science fiction.
As humans, our brains evolved to work linearly, and we have a hard time understanding and predicting change that happens exponentially. For example, merely 30 years ago, it was unimaginable that most people would walk around with a device in their pockets that could perform more sophisticated computing than computers at MIT in the 1950s. The huge improvement in power is a result of exponential growth of the kind explained by Moore’s law, which is the prediction that the number of transistors that fit on a chip will double every two years while the chip's cost stays constant. There is every reason to believe that AI will see similar exponential growth. Just five years ago, the world’s top AI experts at MIT were confident that cars could never drive themselves, and now Google has proven them wrong. Things can advance unimaginably fast when growth becomes exponential.
Some of the most brilliant minds of our times are sounding the alarm bells. Elon Musk said, “I think we should be very careful about AI. If I had to guess, our biggest existential threat is probably that we are summoning the demon.” Stephen Hawking warned, “The development of full-artificial intelligence could spell the end of the human race.”
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Tony Canas is a young insurance nerd, blogger and speaker. Canas has been very involved in the industry's effort to recruit and retain Millennials and has hosted his session, "Recruiting and Retaining Millennials," at both the 2014 CPCU Society Leadership Conference in Phoenix and the 2014 Annual Meeting in Anaheim.
Even as workers' comp makes progress on opioid abuse, two studies warn that users of the painkillers are becoming addicted to heroin.
The use of heroin is no respecter of income level, age, gender, education or geographic location. However, the CDC did outline those most at risk for use:
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Mark Pew is a senior vice president at Prium. He is an expert in workers' compensation medical management, with a focus on prescription drug management. Areas of expertise include: abuse and misuse of opioids and other prescription drugs; managing prescription drug utilization and cost; and best practices for weaning people off dangerous drug regimens.
Satisfaction ratings keep plummeting, but insurers can captivate customers by integrating all sales channels seamlessly and efficiently.
Yet many insurers will find it hard to move quickly. The World Insurance Report identified seven core capabilities that insurers need to develop to enhance customer experience and take advantage of opportunities created by disruptors. Yet we found most insurers’ maturity levels to be lagging in all seven core capabilities:
Insurers exhibited the lowest maturity levels across three essential areas:
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Bhuvan Thakur is a vice president within the Enterprise Cloud Services business for Capgemini in North America, UK and Asia-Pacific. Thakur has more than 18 years of consulting experience, primarily in the customer relationship management (CRM) and customer experience domain.
Jeff To is the insurance leader for Salesforce. He has led strategic innovation projects in insurance as part of Salesforce's Ignite program. Before that, To was a Lean Six Sigma black belt leading process transformation and software projects for IBM and PwC's financial services vertical.
The formula for real growth is so astoundingly simple that it eludes the smart, big-school-degree types running around corporate America today.
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Amy Radin is a strategic advisor, keynote speaker, and Columbia University lecturer focused on why transformation succeeds or stalls in large, complex organizations.
Drawing on senior leadership roles at Citi, American Express, and AXA, including one of the world’s first corporate chief innovation officer roles, she helps leaders build the capabilities required to absorb, scale, and sustain change.
Learn more at amyradin.com.
Our industry, steeped in centuries of tradition, must erase the idea that we can ease into the renaissance with minor adjustments.
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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.
Rather than setting strategies and only then considering risk, consideration of risk should be a critical element in the strategy process.
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Norman Marks has spent more than a decade as a chief audit executive (CAE) for major companies, with as much as $28 billion in annual revenue. He has implemented risk management, ethics programs and disclosure processes at multiple organizations.