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Lecture #3a - Artificial Intelligence

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Explore the 4th Industrial Revolution Technology: Artificial Intelligence Overview of AI What the AI is, its important features, the problem(s) it solves, and how it works. Potential business applications for the AI Risks, challenges, and potential unintended consequences associated with AI

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  • December 31, 2024
  • 11
  • 2024/2025
  • Class notes
  • Neil j. pollard
  • Lecture #3a - artificial intelligence
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Artificial Intelligence

Artificial intelligence (AI) is the science of making machines imitate human thinking and
behavior.

McKinsey estimates AI techniques have the potential to create between $3.5T and
$5.8T in value annually across nine business functions in 19 industries.




What AI Can do

, Data is the new Oil

AI NEEDS TO LEARN

AI NEEDS TO BE TRAINED

AI REQUIRES LARGE DATA SETS (A LARGE COLLECTION OF DATA)



Prescriptive

Prescriptive analytics is an area of analytics that goes beyond descriptive (what
happened aNd predictive (what might happen) analytics to recommend specific actions
that can lead to desired outcomes.

● Maintenance scheduling
● Real-Time recommendations
● Portfolio management
● Resource allocation
● Healthcare



Natural Language Processing

NLP allows machines to understand, interpret, generate, and respond to human
language in a way that is both meaningful and contextually relevant.




AI models can produce concise summaries of long pieces of text, useful in applications
like news aggregation or research.

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