Tom Burton explains that wholesalers at any stage of AI adoption need to start with data stewardship. Understanding what your data contains and making clear decisions about it unlocks value, whether you're using simple tools or large language models.
Bottom line for me is always it doesn't really matter how deep into your AI journey you are, whether you've not gotten started yet, or you're just having your folks play around with ChatGPT to kind of get used to it, or whether you're really deep into it. The the notion that we have to be stewards and apply husbandry to our data is really critical. And the kinds of things that we have to constantly be thinking about are what are the decisions and choices we're trying to make, given what's in this data, given what we know is in this data. From there, sky's the limit. You can do very simple things that are very powerful, or you can throw everything into a data lake and bring in the biggest large language model and have it solve all the problems. You can be anywhere on that spectrum, but still get a lot of value out of it.
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