If you fail to understand the fundamental nature of these tools, you’ll inevitably use them incorrectly.
To understand the strategic implications of AI’s new capabilities, managers need a framework for when AI will be helpful and when it might fail. Under the hood, generative AI tools are still prediction engines, enabled by improvements in computational statistics and large amounts of data. Using AI well requires understanding that today’s AI uses data to make statistical predictions and it’s up to humans to provide judgment about when and how AI should be used.
The proliferation of generative AI tools poses serious questions for managers, such as: What tasks can be done by AI, what will humans still need to do, and what are the sustainable sources of competitive advantage as AI continues to improve? To understand the strategic implications of these new capabilities, managers need a framework for when AI will be helpful and when it might fail.
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Generative AI Is Still Just a Prediction MachineTo understand the strategic implications of AI’s new capabilities, managers need a framework for when AI will be helpful and when it might fail. Under the hood, generative AI tools are still prediction engines, enabled by improvements in computational statistics and large amounts of data.
Read more »
Generative AI Is Still Just a Prediction MachineIf you fail to understand the fundamental nature of these tools, you’ll inevitably use them incorrectly.
Read more »
Generative AI Is Still Just a Prediction MachineIf you fail to understand the fundamental nature of these tools, you’ll inevitably use them incorrectly.
Read more »
Generative AI Is Still Just a Prediction MachineIf you fail to understand the fundamental nature of these tools, you’ll inevitably use them incorrectly.
Read more »
Generative AI Is Still Just a Prediction MachineIf you fail to understand the fundamental nature of these tools, you’ll inevitably use them incorrectly.
Read more »
Improving Generative AI Thought Patterns To Deliver Smarter Results Via Meta’s Thought Preference OptimizationDr. Lance B. Eliot is a world-renowned expert on artificial intelligence with over 8.1+ million amassed views of his AI columns and been featured on CBS 60 Minutes. As a CIO/CTO seasoned executive and high-tech entrepreneur, he combines practical industry experience with deep academic research.
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