Using Data Effectively and Reliably with AI Analytics

Using Data Effectively and Reliably with AI Analytics
Instructors: John Johnson, George Lynch

Learning objectives

• Discuss the importance of data quality and reliability for AI analytical tools.
• Explain data pitfalls in AI analytical tools and the important role of the human analyst in assessing outputs and ensuring informed decision-making.
• Use real-world examples of data issues and challenges to make lessons more tangible.
• Gather insights from case studies and apply foundational data analytics concepts to assess and evaluate the reliability and AI analytical outputs.

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