#WeAreArity Wednesday: Satoru Inoue

Arity · January 26, 2022 · 2 min read
In our #WeAreArity Wednesday series, we shine a spotlight on Arity employees each week. Meet Satoru Inoue from our analytics team.

When my friend asks me what it is that I do again, I say…

At Arity, I try to get useful information from people’s mobility data, like how efficient their driving is in terms of fuel.

In your own words, what is Arity? 

It’s a place (what do you call it when we’re all remote?) where a bunch of smart people think about how people move around. Some of that is through the insurance lens, but we have other perspectives like quickly responding to car crashes or thinking about how we might suggest different routes to people.

What is your work for home set up like? 

It’s pretty basic. I have an office chair and a headphone I got through Allstate, and a laptop stand. If I had more space I’d definitely get a monitor and maybe a standing desk.

We all commuted into the office prior to COVID, how are you spending the extra time? 

I always say I miss my commute which was 20 minutes of walking. I nap ~20-30 minutes regularly now so that’s where a lot of that time went.

Most people don’t know that…

I had trouble keeping my Spotify library under their 10,000-song limit. It was a good day when I realized that the limit was gone.

The theme song of my life is… 

“Cities” by Talking Heads. I’ve moved around a lot. Chicago is the 7th city I’ve lived in as an adult.

Would you get in a self-driving car? Why or why not? 

Yes, because I really don’t like driving. But one reason I don’t like driving is because I feel like I’m putting people at unnecessary risk, so I’d want to be sure that it’s safer than me driving.

Favorite innovation pioneer?  

Alice Waters. Chez Panisse is a great restaurant, really influential in terms of what we think good food is, and two of my favorite cookbooks (“Verdure” and “Salt, Fat, Acid, Heat”) are written by people who worked for her. I don’t think some of her ideas about food production are very scalable, though.

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