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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.
Key points they discuss:
↪️ 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.
↪️ 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.
↪️ 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.
↪️ Organizations can enhance AI models by adding industry-specific "foundation models" while ensuring data security within the AI environment, safeguarding intellectual property.
Don’t miss this exciting thought leader conversation! Follow the hosts, and topics they care about below:
Sapient Insights Group
Instagram | Twitter | LinkedIn
Teri Zipper
Instagram | Twitter | LinkedIn
Stacey Harris
Instagram | Twitter | LinkedIn
Holger Mueller
Twitter | LinkedIn
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By WRKdefined Podcast Network
4.4
1313 ratings
Send us a text
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.
Key points they discuss:
↪️ 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.
↪️ 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.
↪️ 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.
↪️ Organizations can enhance AI models by adding industry-specific "foundation models" while ensuring data security within the AI environment, safeguarding intellectual property.
Don’t miss this exciting thought leader conversation! Follow the hosts, and topics they care about below:
Sapient Insights Group
Instagram | Twitter | LinkedIn
Teri Zipper
Instagram | Twitter | LinkedIn
Stacey Harris
Instagram | Twitter | LinkedIn
Holger Mueller
Twitter | LinkedIn
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