AI Adoption Strategy: Effort-Value Matrix for Industrial Engineers
This video introduces a matrix for strategically adopting AI, categorizing use cases by effort and value. It guides viewers through a "crawl, walk, run" approach, demonstrating how to start with low-effort, low-value AI tools on the HATZ AI platform and progress towards high-value, high-effort solutions for maximum impact.
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Key Moments
Key Quotes
"Some AI use cases are really low effort. You just turn on the chat. Maybe you connect to the internet and you start asking questions. Some AI use cases are high effort. They might even require an engineer, a developer to set up some connections."
"If you're just starting out with AI, chances are if you're adopting this at a companywide level, not everyone in your company is at the same level of AI knowledge."
"You want to avoid low value, high effort because think about it, why would you want to put a lot of effort into something that's not going to provide a lot of value?"
"These things are pre-built, so they're low-effort. All you have to do is maybe make a few tweaks, edit a few output formats and how you want them to behave."
"Remember, up and to the right. Crawl, walk, run. Move away from low value up toward high value. And over time, move from low effort to high effort."
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