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In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris provide a guide to generative AI for the C-Suite and discuss how CEOs should approach understanding and using large language models and AI, starting with identifying business problems first before considering technology solutions.
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What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode.
In this episode of In-Ear Insights, we are talking about large language models in AI, but specific to a corner office, the big chair, the CEO, and that, of course, Katie is you.
When you look at the landscape of all the things that we talk about in AI, and you think of it with your CEO hat on, what are the things that you as a CEO need to know about? In order in order to be effective in order to understand the opportunities, the risks stuff? What is what’s on your mind, when you think about all the stuff that I foam at the mouth that regularly?
You know, the first question I always ask is, tell me when I need to pay attention? And, you know, that’s a loaded question, because it depends on what the business is about what the CEO cares about.
So for us, you know, my questions more specifically would be, well, you know, we’ll generative AI, will large language models make our business better? What does that mean? Will we have a competitive advantage? If we integrate large language models into our business? What does that mean for my bottom line? Is there going to be a lot of cost upfront to get them set up? But then in the longer term, I’m going to save much more money than I invested into this thing? What does that mean? For me needing to skill up myself? What does that mean, for me needing to skill up my team? What kinds of resources do I need to consider? Are there legal implications for using this kind of technology? That’s a question I have about any kind of tech that we bring on of what are the legal implications? What are the security considerations? Do? You know we personally at Trust Insights don’t deal with HIPAA data protected health personally identifiable? We just that’s thankfully, not the nature of our business.
But those are, that doesn’t mean that I don’t need to be aware of what that means.
So I guess so to sort of sum up, the first question I would ask is, what information do I need as a CEO? Right now, today? What do I need to be paying attention to? Do I need to be paying attention to all the little startups who have their own
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In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris provide a guide to generative AI for the C-Suite and discuss how CEOs should approach understanding and using large language models and AI, starting with identifying business problems first before considering technology solutions.
[podcastsponsor]
Watch the video here:
Can’t see anything? Watch it on YouTube here.
Listen to the audio here:
Download the MP3 audio here.
What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode.
In this episode of In-Ear Insights, we are talking about large language models in AI, but specific to a corner office, the big chair, the CEO, and that, of course, Katie is you.
When you look at the landscape of all the things that we talk about in AI, and you think of it with your CEO hat on, what are the things that you as a CEO need to know about? In order in order to be effective in order to understand the opportunities, the risks stuff? What is what’s on your mind, when you think about all the stuff that I foam at the mouth that regularly?
You know, the first question I always ask is, tell me when I need to pay attention? And, you know, that’s a loaded question, because it depends on what the business is about what the CEO cares about.
So for us, you know, my questions more specifically would be, well, you know, we’ll generative AI, will large language models make our business better? What does that mean? Will we have a competitive advantage? If we integrate large language models into our business? What does that mean for my bottom line? Is there going to be a lot of cost upfront to get them set up? But then in the longer term, I’m going to save much more money than I invested into this thing? What does that mean? For me needing to skill up myself? What does that mean, for me needing to skill up my team? What kinds of resources do I need to consider? Are there legal implications for using this kind of technology? That’s a question I have about any kind of tech that we bring on of what are the legal implications? What are the security considerations? Do? You know we personally at Trust Insights don’t deal with HIPAA data protected health personally identifiable? We just that’s thankfully, not the nature of our business.
But those are, that doesn’t mean that I don’t need to be aware of what that means.
So I guess so to sort of sum up, the first question I would ask is, what information do I need as a CEO? Right now, today? What do I need to be paying attention to? Do I need to be paying attention to all the little startups who have their own
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