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HR, We Have a Problem - Is the lack of a precise, universally accepted definition of Artificial Intelligence spawning advancement or confusion? Breaking down the AI paradox.

0 Views· 09/14/23
The HR Huddle
The HR Huddle
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In this episode of HR, We Have a Problem, Sapient Insights Group CEO and Managing Partner, Teri Zipper along with her colleague Chief Research Officer, Stacey Harris welcome guest Holger Mueller, VP & Principal Analyst at Constellation Research to breakdown the challenges in defining AI and all the other subcategories such as predictive or generative AI that keeps flooding the market.<br/><br/>Key points they discuss:<br/>↪️ The popularity of generative AI like ChatGPT among non-technologists leading to widespread discussions about its capabilities and applications, often before technologists fully grasp its implications.<br/>↪️ AI's primary activity in making machines intelligent causes simple tasks to feel magical, surprising, and efficient for users, with little knowledge or care of how it happens. <br/>↪️ AI advancements are driving demand for AI-related skills like "prompt engineering" rapidly reshaping job roles and responsibilities across various departments, including HR and IT.<br/>↪️ Organizations can enhance AI models by adding industry-specific "foundation models" while ensuring data security within the AI environment, safeguarding intellectual property.<br/><br/>Don’t miss this exciting thought leader conversation! Follow the hosts, and topics they care about below:<br/><br/>Sapient Insights GroupInstagram | Twitter | LinkedIn<br/>Teri ZipperInstagram |  Twitter |  LinkedIn <br/>Stacey HarrisInstagram | Twitter | LinkedIn<br/>Holger MuellerTwitter | LinkedIn

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