Inquiring Minds Thrive: Maximizing Well-Being in the Age of AI with Ravi Bapna
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Oct 10, 2024 Ravi Bapna, co-author of 'Thrive: Maximizing Well-Being in the Age of AI' and chair of business analytics at the University of Minnesota, engages in a thought-provoking discussion about AI's societal impact. He highlights the need to balance AI's benefits and risks, delves into the importance of ethical data engineering, and explores job displacement versus retraining opportunities. Bapna also addresses how AI can enhance human connections in healthcare and other sectors, emphasizing the need for privacy and fair compensation in a rapidly evolving digital landscape.
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AI Types and Data Engineering
- AI has various types: descriptive, predictive, prescriptive, and generative.
- Data engineering is crucial, as 70% of data science work involves cleaning data.
Generative AI for MBA Students
- Ravi Bapna and colleagues designed a bot for MBA students.
- This bot helps students use traditional machine learning, even without coding experience, by leveraging generative AI's code-writing capabilities.
Barriers to AI Progress
- Three barriers hinder AI progress: inertia, ignorance, and lack of imagination.
- People struggle to recognize problems solvable with predictive models, despite their prevalence in everyday applications.