big data

I recently enjoyed congregating with insurers, regulators, venture capitalists, and software vendors of all sizes to tease out how big data, analytics, and artificial intelligence are causing irreversible climate change in the insurance ecosystem. The topics at Insurance Disrupted included:... Read More >
Big data is like toilet paper. One-ply, two-ply, single roll, double roll, ultra roll – lots of choices and no humanly comprehensible way to make an honest comparison. Every package says it’s the biggest and the softest. So much confusion for such a mundane task. It’s a microcosm of our problem with big data, isn’t it? Every day, for even the smallest decisions, we’re overwhelmed with data.... Read More >
Here at Guidewire Live, we like to emphasize how easy we make it for customers to join: You install a simple extract program, and we take care of the rest. And when you log in to our apps, we want you to see meaning, not “big data”.... Read More >
Insurance carriers are obsessed with models. Catastrophe models, predictive models, statistical models – they are all the rage. Tyra Banks would be proud. Models (of the non-runway variety) are useful tools to answer questions like “what could happen” and “what might be”.  But these models are most useful when trying to speculate on the future. We should have better ways to evaluate the present and the past. ... Read More >
You’ve probably heard the stats. Things like, “more data is created every day than existed in the entire world back in 2003” (true). Or how about, “72 hours of video are uploaded to YouTube every minute”[1] (true). Impressive as they are, these kinds of stats share another important characteristic:  they are totally useless.... Read More >