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Unsure about AI guardrails, AI data risks, or which artificial intelligence project to pick first? You’re not alone.
Tori Miller Liu, president and CEO of the Association for Intelligent Information Management (AIIM), talks with Leading Learning Podcast co-host Celisa Steele about treating artificial intelligence initiatives as data initiatives, picking one to three practical use cases that augment people (without replacing them), writing a lightweight AI usage policy that’s easily understandable and updatable, and balancing mission and margin with a simple product profitability lens. They also touch on how AIIM’s portfolio supports information leaders who are turning messy, unstructured content into fuel for generative AI—and improved performance.
Show notes and a downloadable transcript are available at https://www.leadinglearning.com/episode465.
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Unsure about AI guardrails, AI data risks, or which artificial intelligence project to pick first? You’re not alone.
Tori Miller Liu, president and CEO of the Association for Intelligent Information Management (AIIM), talks with Leading Learning Podcast co-host Celisa Steele about treating artificial intelligence initiatives as data initiatives, picking one to three practical use cases that augment people (without replacing them), writing a lightweight AI usage policy that’s easily understandable and updatable, and balancing mission and margin with a simple product profitability lens. They also touch on how AIIM’s portfolio supports information leaders who are turning messy, unstructured content into fuel for generative AI—and improved performance.
Show notes and a downloadable transcript are available at https://www.leadinglearning.com/episode465.

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