Recent advances in AI technology have had, and will continue to have, profound impact on all industries, including insurance. However, insurance analytics professionals, and actuaries in particular, being some of the most quantitatively minded businesspeople, have a unique opportunity to embrace AI and open research and modernize the profession. We introduce Kasa AI, a not-for-profit community initiative for open research and software development for insurance analytics. Inspired by rOpenSci and Bioconductor, we hope to bring together the insurance community to solve the most impactful problems.
2. Amuse-bouche
About me!
- Kevin (he/him)
- Currently: Multiverse team @RStudio
- Formerly: Actuary, “data scientist”
- Likes to drink taste wine
3. Amuse-bouche
About me!
- Kevin (he/him)
- Currently: Multiverse team @RStudio
- Formerly: Actuary, “data scientist”
- Likes to drink taste wine
- Wrapping up a book on Spark + R!
7. Menu of the day
Who we are / What we do
Château Kasa, Blanc de Blancs, “Le Rêverie”, NV
Lessons learned / Discoveries / Tips
Bad Joke Cellars, Red Blend, “The Cynic”, 2012
Current projects / Vision
Dr. Brandstiftung, Riesling S.G.N., “Einladung”, 1990
8. Menu of the day
> Who we are / What we do
Château Kasa, Blanc de Blancs, “Le Rêverie”, NV
Lessons learned / Discoveries / Tips
Bad Joke Cellars, Red Blend, “The Cynic”, 2012
Current projects / Vision
Dr. Brandstiftung, Riesling S.G.N., “Einladung”, 1990
13. Menu of the day
Who we are / What we do
Château Kasa, Blanc de Blancs, “Le Rêverie”, NV
> Lessons learned / Discoveries / Tips
Bad Joke Cellars, Red Blend, “The Cynic”, 2012
Current projects / Vision
Dr. Brandstiftung, Riesling S.G.N., “Einladung”, 1990
36. - Will people actually participate?
- How do we ensure code quality?
- Are we using state-of-the-art
workflows?
- How do we vet projects and
contributors?
- How do we resolve differing design
preferences in the community?
- What should our governance
structure be?
38. What is good debt? It's taking money from someone,
promising to pay them back more money in the future,
and using the original money to make even more
money than that, so both you and the lender profit.
Good tech debt is just the same. It's taking
shortcuts now to save time and get something
shipped, knowing that it will cost you more time
than you're saving now to fix it later. But by
shipping now, you ensure there is a later, with a
product that's out there and being used, a bigger team
and therefore adequate time and then some to fix the
debt and keep improving the product. Everyone wins.
@davnicwil
https://news.ycombinator.com/item
?id=20685950
44. We’re actively seeking support
- Research/education grants through actuarial societies
- Partnerships with companies
- Partnerships with academic labs / departments
- More outreach to the R and insurance communities
45. - Be cool (but not too cool)
- Just do it
- Make it rain
46. Menu of the day
Who we are / What we do
Château Kasa, Blanc de Blancs, “Le Rêverie”, NV
Lessons learned / Discoveries / Tips
Bad Joke Cellars, Red Blend, “The Cynic”, 2012
> Current projects / Vision
Dr. Brandstiftung, Riesling S.G.N., “Einladung”, 1990
47. Ongoing Project: Practical Ratemaking
- End-to-end tutorial on general insurance ratemaking
- Covers data prep, modeling, filing, implementation
- Everything is reproducible!
52. Get involved!
Other ongoing/upcoming projects include
- Deploying real-time models developed in R with k8s
- Underwriting dashboard featuring ML explainability
- Data simulators
- And more!
53. The invite
Please connect if you are
- A useR at all interested in insurance
- Insurance student/professional at all interested in
R/open source
- Interested in helping out in any way
- An oenophile