How to Make IT Efforts Strategic
Here are six steps that business owners must take to ensure that IT investments drive strategic value that can be measured.
Here are six steps that business owners must take to ensure that IT investments drive strategic value that can be measured.
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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.
Even with the emphasis on analytics and big data, companies are totally unaware of the powerful opportunities with machine learning.
Businesses are increasingly looking to hire data scientists, and they leave universities having been taught machine learning together with a mixture of statistics and computer science. When I spoke with data science students at an event in Edinburgh, it was clear they saw machine learning as a key part of their specialty, even if most businesses rarely mention the term.
In the 20 years since I was an R&D manager developing artificial intelligence pilots, I've seen few businesses even attempt to apply the techniques I found so powerful (including case-based reasoning, neuro-fuzzy logic and genetic algorithms). But perhaps data science finally has enough momentum to take AI into mainstream commercial application.
So, if you're looking to keep up with developing data science or (wider) customer insight professions, what should you know about machine learning? Is it too late for you to learn? Do you need to return to university?
Although the social life options of the latter may sound appealing, most leaders don't have time to put their corporate careers on hold while they retrain. Luckily, there are online resources to help you get up to speed and, at least, understand the language being used by your latest hires. In this post, I'll share a few online resources and reviews I hope you'll find useful.
See Also: How Machine Learning Changes the Game
What better place to start than an online tutorial that claims to be the world's easiest introduction. With the catchy headline "Machine Learning is Fun!", this two-part blog—published on Medium by Adam Geitgey—is perhaps not as simple as some would like, but it does provide a useful overview of techniques.
To balance the data science perspective on machine learning, I thought it might also be interesting to share a market research perspective. This balanced and useful review by Kevin Gray in Quirks provides such a perspective. It should help researchers consider where AI algorithms could also be applicable to their quant work.
If all that education and advice has made you keen to get your hands dirty and try machine learning, the next question is how you can get started. Well, if you are an R coder or have analysts in your team with R programming skills, here's a handy starting point shared by Jason Brownlee.
Don’t worry if you can’t, or prefer not to, use R. It seems that, as well as a plethora of machine learning tools, there are some heuristics, too. In this quick-start guide from the same site as above, Brownlee also shares how to understand any machine learning tool quickly (the information is so good I had to include this second link from the same blog.
Finally, to really get you ruminating on the subject, consider this more philosophical piece by Christopher Nguyen, where he explores our relationship with AI the other way—what can the ways machines learn teach us about our own brains, imaginations and the role of intuition. Thought-provoking stuff
I hope this post was of interest. If you’ve discovered other great content online that can help us all better understand machine learning, please do share.
Have a great time learning more!
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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.
One executive said, “The odds of this long of a lucky streak [on catastrophe losses] occurring is less than 1%.”
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Joe Calandro, Jr., is a managing director with Strategy&, part of the PwC network. Calandro has broad experience, in the U.S. and globally, across the disciplines of strategy, analytics, M&A, risk management, underwriting and claims.
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.
Katie Klutts Wysor is a Principal with PwC who advises insurance leaders on strategy, growth, and transformation. She focuses on analyzing evolving market dynamics to shape perspectives on the future of insurance and translating those insights into practical, outcome-driven growth strategies and transformation programs for carriers and brokers/distributors.
Planning for an active shooter threat has become an unfortunately necessary part of institutional safety and risk management best practices.
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Mya Almassalha joined the Encampus team in early 2016; she brings with her more than a decade of general insurance and risk management expertise, with a strong focus on higher education and organizational risk management.
As this infographic shows, as much as $850 billion a year is wasted on unnecessary, defensive medical tests and procedures in the U.S.
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Erik Leander is the CIO and CTO at Cunningham Group, with nearly 10 years of experience in the medical liability insurance industry. Since joining Cunningham Group, he has spearheaded new marketing and branding initiatives and been responsible for large-scale projects that have improved customer service and facilitated company growth.
Richard E. Anderson is chairman and chief executive officer of The Doctors Company, the nation’s largest physician-owned medical malpractice insurer. Anderson was a clinical professor of medicine at the University of California, San Diego, and is past chairman of the Department of Medicine at Scripps Memorial Hospital, where he served as senior oncologist for 18 years.
The developing International Capital Standard will require close monitoring by globally active insurers.
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Henry Essert serves as managing director at PWC in New York. He spent the bulk of his career working for Marsh & McLennan. He served as the managing director from 1988-2000 and as president and CEO, MMC Enterprise Risk Consulting, from 2000-2003. Essert also has experience working with Ernst & Young, as well as MetLife.
Ellen Walsh is a partner in the financial services risk and regulatory advisory practice of PwC and provides risk management and regulatory advisory services to PwC’s leading insurance clients. She currently leads PwC's efforts related to the impact of the regulatory change on financial institutions, specifically on insurance companies.
Founders: Here is a framework for when and how to talk to users about your innovations. You can't just wait for your turn to talk.
Since my last post, “Distribution is 80% of your problem,” I have had the opportunity to speak in-depth with several terrific start-up founders about some of the incredible things they are doing and why things are not going so well. Several of their stories remind me of another big lesson I have learned over the years: We entrepreneurs often mistake “listening” as “waiting to talk," until it’s too late.
A Little Knowledge (About Your Users) Is a Dangerous Thing
All the stories have a similar theme: We launched our product, and we got 10,000-plus users (or 100-plus small paying customers) using unscalable ways. Now, we are not sure of what to do next.
One founder I communicated with had talked to hundreds of her paying users and managed to convince herself that her market was women who want to make sure their kids don’t get too much unsupervised screen time. We talked to the company's users and discovered that, in fact, the core group that loved the app were working women who want to keep track of their kids and know they are safe after school. Whenever this start-up had spoken to its user, it heard the answer it wanted to hear, not what the users were saying. The lesson learned here was about waiting to tell users what they “should” be doing with the app.
Another app — one that got to 20,000 users quickly with a small amount of seed money — found, once we dug deep, that fewer than 150 of their users were active weekly. The start-up had no idea who these 150 users were or what, specifically, they were doing with the product. After 20 user interviews, we discovered the start-up's core use case was far from what the company thought it was and that the product was too hard to use. For far too long, the start-up was convinced its technology would change the world, especially because 20,000 users seemed to be using the product.
A third, B2B-focused start-up I recently spent time with has more than 100 paying users but has stalled growth and usage numbers. When I asked the company to tell me who its users were and what pain point it was solving, I kept getting back a laundry list of features and user personas instead. When the company dug deeper and spoke to users, it found that, of the 27 features, users are using two and that no one had discovered the three the company thinks are the real killer benefits. We realized the company's model needs to shift away from “my users are using the wrong features and should have discovered the 'right ones.'" As a start-up, you don’t get to tell users what scenarios and which features they should use your product for; consumers will tell you by using whatever they find useful.
Apple May Not Need to Talk to Users, But the Rest of Us Do
As a founder, you start with a hypothesis. You have all these incredible suppositions on how you will change the world with your product. You may think you can get away with: “My users do not know what they are doing. I will tell them what they should do. It works for Apple (or so goes the myth) so it will work for me — let’s just ignore users." Believe me, those kinds of companies are black swans. For the rest of us, our users matter—who they are, what they use our products for and what they ignore.
This is for two basic reasons:
One potential red herring during the early days comes when you manage to attract a chunk of users quickly. You can easily get deluded by the numbers — they're like inventory, they hide a lot of problems. You convince yourself that what you're doing can't be wrong if 20,000 users think you're right. The fact is that these 20,000 people do not think you are right ; you somehow managed to "get" them, and they experimented with your product hoping to find something of use. 200 of those users might think you are onto something, but you don’t know who those 200 are. If you understood what those 200 really like about your product, you might be able to find the next 20,000 users who are really right for you.
What to Avoid When You Do Decide to Talk to Users
If you do not do these things, you have not really listened to your users—you have just waited for your turn to talk and convinced yourself you understand your users.
A FRAMEWORK FOR WHEN TO LISTEN TO USERS--AND HOW
Here’s a framework I have developed over the years about when and how to listen to users:
The First 500 Users
Those first 500 users are the most important people in your journey. You need to do more than just talk to them, you need to build a solid relationship with them — they are the foundation of your product.
In my previous start-up, a career marketplace, I personally introduced my early adopters to friendly hiring managers at many companies and helped them land a job. A lot of those early customers are now my Facebook friends. Some of them even became our ambassadors and had equity in the company.
Those first users add immense value. They validate your hypothesis, refine your ideas, recruit more users and test new features, on top of a whole lot more. And they are also very forgiving to defects, crashes, bad user experience (UX), everything.
I used to schedule as many phone calls with them as I could. In every conversation, I would first show what we were working on (in detail) and get their feedback. I would then open up and ask about what they were doing with the product, why they chose it over others, how they found it added value, what related issues they had that we could help with, among other questions. I logged every conversation.
Listening Is Hard to Do—For Founders in Particular
Most of the time when we think we’re listening, we are actually just waiting for our turn to talk. Here are three reasons why:
Talking to users requires real effort . Be aware of that and start focusing on your first 500 users. Treat your early adopters with special respect — make them feel special and take care of them beyond just the product.
Beyond the First 500 Users
Moving forward with your customer base requires using other techniques (in addition to real conversations) that are still important. One such tactic is talking through the product, provoking conversations with product experiments.
An example of this would be radically changing your on-boarding — drop everything and get them in — for a small set of users and seeing what happens. Remove a feature you think is not useful and wait for users to complain. Removing things temporarily is the best way to test if they are really valuable.
It also helps to create ancillary products ( quick prototypes ) to test value outside your core product. As you learn more about your users, you will start to see more value propositions, some that align with your vision and some that don’t.
Until you are truly convinced you have product-market fit, do not be shy about running small experiments on the side to keep testing different ideas. Use conversations to create hypotheses, and experiment quickly.
Another technique is to always ask, “What else would you want this product to do for you?” in every support email. My start-up once introduced a critical defect in our iPhone app that led to hundreds of support emails. Adding that one question uncovered several hundred feature requests, including a lot we had not thought about.
Talking to users as you scale is more than just about having conversations. Lead with a hypothesis, measure, iterate, run side experiments continuously to test.
Dear founder, do not wait to talk to your users until it’s too late.
And when you do, listen. Don’t just wait to talk.
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Critical articles tend to be an accumulation of plaintiff attorney opinions and confusion by out-of-state persons.
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Gary Thornton is a partner at Jackson Walker, focusing on non-subscriber tort litigation and employment law defense. He wrote the foundation article for the Texas Bar Journal on non-subscriber litigation. He has represented companies all over Texas in both non-subscriber litigation and all areas of employment law.
Smart Drivinc aims to provide peace of mind to parents and others by developing affordable, crash-prevention technologies.
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Shefi Ben Hutta is the founder of InsuranceEntertainment.com, a refreshing blog offering insurance news and media that Millennials can relate to. Originally from Israel, she entered the U.S. insurance space in 2007 and since then has gained experience in online rating models.
At some point, the evidence of death and destruction from our prescription drug abuse epidemic will overwhelm the lobbyists.
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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.