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In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss deconstructing generative AI use cases.
You will learn how to cut through the hype and understand how to truly use AI to solve real problems. You’ll discover a practical framework to break down complex AI initiatives into manageable steps. This episode will show you how to avoid common pitfalls and ensure your AI projects deliver measurable results. Watch this episode to gain actionable insights and start making AI work for you today!
Watch the video here:
Can’t see anything? Watch it on YouTube here.
Listen to the audio here:
Download the MP3 audio here.
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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.
Here’s the edited transcript, adhering to all provided rules and guidelines:
Christopher S. Penn — 00:00
In this week’s In Ear Insights, let’s talk about deconstructing AI use cases. We recently had a lot of conversations. Last week’s live streams, we talked about skills matrices and understanding sort of the people that we have available to us and what their skills are when it comes to everything, but including generative AI. And Katie, you were talking recently with a colleague who gave some real time voice of the customer feedback about AI. Can you walk through what you heard?
Katie Robbert — 00:29
Yeah, absolutely. So a good friend of mine was at a conference and she was sharing with me some of the feedback that people were giving when it comes to implementing AI. And so basically what she was saying was sort of quote, “my boss says that we’re getting Copilot now. What? How do I prove the value of the tool and the value of the work that I do?” And what that says to me is, once again, people are choosing the platforms first and then trying to figure out what to do with it. That’s a reality that we knew was going to happen with a lot of organizations. When I say choosing the platform first, what I’m referring to is the 5P framework—purpose, people, process, platform, performance. The 5P’s were my reaction to digital transformation, which is people, process, technology, platform.
Katie Robbert — 01:26
They could have done better with their alliteration. The challenge with digital transformation, in my personal experience and a lot of people that I’ve talked to, is that it puts the technology, the platform, first and then tries to figure out where people and process fit in. And this is what we’re seeing play out at a lot of organizations is they’re saying, “great, generative AI is going to solve all of our problems. Let’s go ahead and pick a tool. Oh, we’re a Microsoft shop. So let’s get Copilot. Oh, we’re a Google shop. Let’s get Gemini. Oh, OpenAI, ChatGPT is the one I hear the mo
5
99 ratings
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss deconstructing generative AI use cases.
You will learn how to cut through the hype and understand how to truly use AI to solve real problems. You’ll discover a practical framework to break down complex AI initiatives into manageable steps. This episode will show you how to avoid common pitfalls and ensure your AI projects deliver measurable results. Watch this episode to gain actionable insights and start making AI work for you today!
Watch the video here:
Can’t see anything? Watch it on YouTube here.
Listen to the audio here:
Download the MP3 audio here.
[podcastsponsor]
What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode.
Here’s the edited transcript, adhering to all provided rules and guidelines:
Christopher S. Penn — 00:00
In this week’s In Ear Insights, let’s talk about deconstructing AI use cases. We recently had a lot of conversations. Last week’s live streams, we talked about skills matrices and understanding sort of the people that we have available to us and what their skills are when it comes to everything, but including generative AI. And Katie, you were talking recently with a colleague who gave some real time voice of the customer feedback about AI. Can you walk through what you heard?
Katie Robbert — 00:29
Yeah, absolutely. So a good friend of mine was at a conference and she was sharing with me some of the feedback that people were giving when it comes to implementing AI. And so basically what she was saying was sort of quote, “my boss says that we’re getting Copilot now. What? How do I prove the value of the tool and the value of the work that I do?” And what that says to me is, once again, people are choosing the platforms first and then trying to figure out what to do with it. That’s a reality that we knew was going to happen with a lot of organizations. When I say choosing the platform first, what I’m referring to is the 5P framework—purpose, people, process, platform, performance. The 5P’s were my reaction to digital transformation, which is people, process, technology, platform.
Katie Robbert — 01:26
They could have done better with their alliteration. The challenge with digital transformation, in my personal experience and a lot of people that I’ve talked to, is that it puts the technology, the platform, first and then tries to figure out where people and process fit in. And this is what we’re seeing play out at a lot of organizations is they’re saying, “great, generative AI is going to solve all of our problems. Let’s go ahead and pick a tool. Oh, we’re a Microsoft shop. So let’s get Copilot. Oh, we’re a Google shop. Let’s get Gemini. Oh, OpenAI, ChatGPT is the one I hear the mo
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