Much of today\u2019s discussion around AI starts with personal productivity and quickly moves toward the implications for an organization when individuals leverage it. As I always recommend to folks new to the world of generative AI, start by experimenting with something you know well and use it to get an accurate understanding of the limits and capabilities of the technology.<\/p>\n
In our recent webinar, The ChatGPT & AI Revolution: An Executive’s Guide<\/a>, we cover additional exercises and use cases for integrating ChatGPT as a productivity solution at the individual and organizational levels.<\/p>\n With the widespread use of AI technologies exploding, most insurance businesses are currently in a stage where they\u2019re self-assessing if they are ready to adopt these capabilities and determining how they can provide them to their workforce responsibly.<\/strong> But once you\u2019re ready to safely apply the technology, where do you start? We\u2019ll cover some ways insurance carriers and brokers can apply AI<\/a> to their existing processes, as well as criteria for evaluating which projects are the most viable for this.<\/p>\n Once you\u2019re prepared to implement AI at an enterprise level, you need to understand where and how you can and should apply it.<\/strong> Traditionally, many emerging technologies and innovations have been associated with full solutions that solve business problems in their entirety. This is particularly true in insurance, where InsurTech innovations<\/a> are typically full solutions targeting a specific part of the value chain.<\/p>\nFocusing on the Now Versus the New<\/h2>\n