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.