KNOWLEDGESTREAM AT-A-GLANCE
The Future of Data Science Within the Insurance Industry
ABSTRACT
Data science in the insurance industry: Top Trends, Top Providers, Future vision
PARTICIPANTS
OBJECTIVES
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End Date: May 11, 2018
CONTRIBUTIONS
ACTIVITY
205 Days
10 Themes
25 Contributors
852 Posts
315 Comments
269 Followers
OUTPUTS
None yet
THEME #1
Industry Trends & Analytics
SURVEYS
THEME #2
Future State of Data Science
SURVEYS
THEME #3
Evolution of Data Science
Although the data science capability is growing by leaps and bounds, what is lagging is the connection to business objectives and consumer value proposition.
THEME #4
The flip side - Insuring AI's unintended consequences
THEME #5
How data & technology are disrupting the Claims experience
SURVEYS
THEME #6
AI bias - ethical considerations
THEME #7
Real-time monitoring and sharing data
Data Sharing is Generational
I think that sharing data with a company splits along generational lines. I am noticing from my work in customer data that generations preceding the Millennial Generations are far more guarded on their personal data than younger generations. The younger consumers have grown up with their entire lives wired into cell phone and the internet. They have never truly experienced privacy and so they don't miss it.
About 50% of consumers are willing to share some data if they are going to receive a discount. I think it also depends on what's being monitored. Somehow I see customers being more open to sharing their smart home data than telematics data, based on the uptake so far.
THEME #8
Changes to Healthcare
THEME SUMMARY
There's intrigue, but perhaps it's too early to know if the ABC partnership will produce significant change for the affected employees and whether there will be carryover to healthcare generally.
- Profit-free - The focus will be on cost reduction, and as Robert hinted, maybe one day we'll pay docs for days we're not sick.
- Role for AI - Increased efficacy, data insights, personalization and targeting, fraud detection, communications, transparency.
- Excited - Lots of opportunity to introduce best practices from non-healthcare to improve engagement, convenience, distribution, and onboarding.
- Advice - Take what's made ABC companies great and apply to healthcare; focus on and measure positive patient outcomes.
SURVEYS
THEME #9
Mortality Risk Score for life insurance
THEME SUMMARY
It all depends. That's my take-away from our discussion. There were different points of view about the benefits of a single mortality score -
- Scores allow for micro-targeting which is presumably fairer, but some could be prejudiced through no fault of their own.
- If the score is ubiquitous & transparent, then it could serve as a motivator; although, no one likes to be
- And if ubiquitous, could the score become a segmentation tool for marketers?
Accepting because consumers benefit
Technology advancements will make pricing more efficient in the industry over the long term. As the pricing gets more efficient, the premium pie will shrink, and the winning insurers will be the ones deploying analytics most accurately
So am I comfortable with it? Well, it's a little creepy, but then again, nobody is forcing me to buy. If these data sources and methods become the industry accepted norm, however, I'm sure that regulation will emerge. Especially if the algorithms are shown to factor in race.
Accepting because the industry needs to improve
Technology advancements will make pricing more efficient in the industry over the long term. As the pricing gets more efficient, the premium pie will shrink, and the winning insurers will be the ones deploying analytics most accurately
In my opinion risk based pricing is the best way forward within the current scenario given the fact that now there is abundance of data which can help to make the risk based pricing within the healthcare domain an "efficient" procedure, by ensuring that price that a member pays reflects the average cost of the price that he or she imposes on the society.
THEME #10
AI in Travel Insurance