InsTech - insurance & innovation
00:26:50 · Jamie Wilson
[00:26:50] S1: I'm looking at kind of my bookcase in front of me right now. I would probably go with Thinking, Fast and Slow. It's a book that I've actually read about, I wanna say four times. In reality, it's more like three and a half times. But it's a fantastic book. I read it for the first time when my career was taking me more towards data science, predictive modeling, and it's got some really interesting kind of stories, analogies around the rise of data driven models, augmenting expert decisioning. So kind of like some fantastic stories around how data scientists were predicting the value and quality of wine years before kind of connoisseurs had had a chance to taste this, for example. So, like, some really interesting kind of examples there. And lots of it very, very relevant to... If you are trying to deploy data driven models or deploy technology, like, what's the behavioral aspect or the psychology aspect associated with people having to adopt that? And every time I read, I'm like, oh, that applies to what I was talking to so and so about last week. Or three months ago, I was working on something that's exactly like that. So it's a book that I've come back to time and time again.
00:27:52 · Matthew Grant, Jamie Wilson
[00:27:52] S0: It's absolutely fundamental. Daniel Kahneman was the origination of the term behavioral economics. And the interesting thing is you talk there about data, but it's actually also... In fact, I'll just use an example in my familiarity bias, which is sort of what he talks about. He covers so many things. And I actually cheat. I take notes on my Kindle and then reread the notes. So I haven't quite read the whole thing, but I do get back to my notes and reread it. But I probably should get back and reread the whole thing and get some fresh inspiration. Great choice. Definitely up there. It's one of my favorite books and actually very influential books as well. So, Jeremy, that kind of brings us towards the end. We said people could contact you on LinkedIn if they want to know anything. Any other sort of final takeaways that the people should remember before we wrap this up? [00:28:30] S1: If you're in New York in September, we've got HX Live happening there. If you wanna hear hear more about some of the things we've talked about, exactly as Matthew was saying, feel free to reach out to me on LinkedIn. Always happy to grab a coffee and talk a little bit more about technology transformation, whatever the topic. [00:28:46] S0: Right. Well, Jamie, thank you for your support. Thank you for all your colleagues at HX. It's been great watching you grow over all the years, and you've been a big part of the success of InsTech as well. So thank you very much. [00:28:56] S1: Brilliant. Thank you very much.
00:28:56 · Jamie Wilson, S2
[00:28:56] S1: Brilliant. Thank you very much. [00:29:03] S2: Well, if you've made it this far, then I'm pretty sure you found that as interesting as I did. The InsTech podcast comes out every Sunday morning, where we spotlight the latest news, leading voices, and freshest updates across insurance that you need to know about. If you would like to take part in these conversations, head to www.instech.co to find out how you can join our network and be a part of the insurance intelligence for the curious.