Why its important for analyzing big data


Discussion Questions: Summarize the case study, in your own words, by answering the following questions. DO NOT use AI or any other prior or present student's work.

Lean Six Sigma in the Age of Artificial Intelligence

Abstract:

 Michael L. George, Sr., CEO of AI Technologies, using practical manufacturing examples and a case study, explains:

  • What Artificial Intelligence is?
  • Why it's important for analyzing Big Data and shedding light on Dark Data.
  • How it can be applied to your Lean Six Sigma and Continuous Improvement efforts to give you a substantial competitive advantage

This case study is based on:

The ASQ case study/recording by Michael George:

Video Spotlight:

Watch the entire video above and answer the questions below using the Case Study 3 Word Template. Do not copy and paste from the video or article.

Lean Six Sigma in the Age of Artificial Intelligence

Check out other references and resources related to the case study. These should be included in the project template you submit.

 Discussion Questions:

a. How is Artificial Intelligence defined in this case study? Is this different than what you originally thought?

b. Describe how AI was used in conjunction with Six Sigma

c. Do some research on Big Data and Dark Data and describe each in your own words.

d. What innovations or "out of the box" methods, not normally used in projects, did the team use? Do a bit of research on these and explain why the team chose them.

e. What quality tools were used in the study and why.

Attached you will the files containing source information for this case study and a basic template for you to complete and submit your work.

Each case study involves current events related to quality improvement tools applied to processes.  I will provide you with the topic and articles that can be found on the internet.  This will be followed by discussion questions that I expect you to address in your paper.

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