Exercises for Foundations of AI & ML for Executives & Decision-Makers

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Question 1 of 28

1. Question
The Term “Artificial Intelligence” has a commonly accepted definition
- True
- False
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Question 2 of 28

2. Question
Artificial Intelligence is at least sixty years old
- True
- False
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Question 3 of 28

3. Question
What factor(s) contribute to the resurgence in interest in AI? (Select all that apply)
- Experience and infrastructure to deal with Big Data, that fuels AI
- Rapid evolution of Machine Learning algorithms, Deep Learning in particular
- Media and marketing buzz around AI
- Almost limitless, cost-efficient Compute Power
- Mega-Tech Companies investing heavily in AI
- Ubiquitous internet and computing
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Question 4 of 28

4. Question
AI can help break the Digital Transformation logjam
- True
- False
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Question 5 of 28

5. Question
What are some of the applications where AI is best suited?
- Recommendation systems
- Fraud & risk detection
- Pattern recognition
- All of the above
- None of the above
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Question 6 of 28

6. Question
How many patterns of AI are there?
- 1
- 3
- 5
- 7
- 9
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Question 7 of 28

7. Question
Select all the patterns of AI
- Goal Driven Systems
- Hyperpersonalization
- Predictive Analytics & Decision Support
- Automation
- Pattern & Anomaly Detection
- Recognition
- Rules-based Decision-Making
- Conversational Systems
- Autonomous Systems
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Question 8 of 28

8. Question
What is Narrow AI?
- Artificial intelligence that is meant to address the broad range of intelligence capabilities that humans can perform.
- Task-specific applications of AI meant to address specific cognition needs
- The ability to fit AI applications into very small devices
- Building Artificial General Intelligence
- General ideas and concepts about AI
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Question 9 of 28

9. Question
What is Artificial General Intelligence (AGI)?
- Artificial intelligence that is meant to address the broad range of intelligence capabilities that humans can perform.
- Task-specific applications of AI meant to address specific cognition needs
- General ideas and concepts about AI
- The development of intelligent robots
- General approaches to machine learning
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Question 10 of 28

10. Question
What is Augmented Intelligence?
- The combination of human and machine intelligence capabilities to achieve more together than individually able.
- The use of machine intelligence in place of human intelligence
- Autonomous systems that can operate without human intervention
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Question 11 of 28

11. Question
What is Machine Learning?
- There's no specific definition for the term machine learning
- The ability for machines to learn and improve over time and experience with data
- A programming approach to develop rules by which machines should operate
- Automating repetitive tasks
- Having the human and AI work together to accomplish a task or achieve a goal
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Question 13 of 28

13. Question
How does Cognilytica define AI for the purpose of this education?
- Artificial Intelligence (AI) is machine behavior and function that exhibits the intelligence and behavior of humans.
- Intelligence that is not biological.
- Superintelligent machines that will take over the world.
- Cognilytica does not have a definition of AI.
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Question 14 of 28

14. Question
Automation and Intelligence are the Same Thing
- True
- False
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Question 15 of 28

15. Question
How many AI Winters have we previously had?
- 0
- 1
- 2
- 3
- 5
- 6
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Question 16 of 28

16. Question
AI is Deterministic.
- True
- False
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Question 17 of 28

17. Question
What sort of problem can AI help address?
- The Digital Transformation Logjam
- The Digital Process Complexity
- The Digital Information Revolution
- The Digital Transformation Conundrum
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Question 18 of 28

18. Question
What are the parts of the AI-Enabled Vision of the Future?
- There is no future with AI
- The AI-Enabled Enterprise, Autonomous Computing, Enhancing the Human Experience, Pervasive Connectivity
- The AI-Enabled Organization, Autonomous Everything, Enhancing the Human Experience, Pervasive Knowledge
- Robotic Process Automation, Machine Learning Platforms, Big Data, Advanced Cybersecurity
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Question 19 of 28

19. Question
When should you consider using AI? Select all that apply
- Simple Rules Don’t Work
- Requires Object Identification or Classification
- You have deterministic problems
- Because AI has a cool factor
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Question 20 of 28

20. Question
What are the core aspects of intelligence?
- Programming, Personalization, Participation
- Perception, Prediction, Planning
- Information, Reasoning, Knowledge
- Unsupervised, Supervised, and Reinforcement Learning
- Data, Information, Knowledge, Understanding, Wisdom
- Perception, Prediction, Knowledge
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Question 21 of 28

21. Question
Deep Learning is one approach to Machine Learning
- True
- False
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Question 22 of 28

22. Question
What are the levels of the DIKUW pyramid?
- Data, Information, Knowledge, Understanding, Wisdom
- Digits, Information, Knowledge, Understanding, Wisdom
- Data, Information, Knowledge, Understanding, Willingness
- Data, Intelligence, Knowledge, Understanding, Wisdom
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Question 23 of 28

23. Question
What is correct about Data Science?
- Data Science is focused on extracting useful information from a sea of data
- Data Science translates business and scientific informational needs into the language of information and math
- Data Science is key to Machine Learning
- All of the above
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Question 24 of 28

24. Question
What is correct about Data Engineering?
- Data Engineers are focused on providing clean, eff
- Data Engineers have experience from Big Data
- Data Engineers are not focused on application development or product development
- All of the above
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Question 25 of 28

25. Question
AI and Machine Learning require a Data-First Approach.
- True
- False
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Question 26 of 28

26. Question
What does CPMAI Methodology stand for?
- Cognitive Project Management for Augmented Intelligence
- Cognitive Project Management for Artificial Intelligence
- Content Project Management for Artificial Intelligence
- Content Project Management for Augmented Intelligence
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Question 27 of 28

27. Question
What are the main aspects of what makes CPMAI useful and unique?
- The data-centricity of CRISP-DM
- Specific details for AI / cognitive technology projects
- Leverages the Seven Patterns to provide guidance
- All steps are iterative with each other
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Question 28 of 28

28. Question
Time to Positive ROI for AI Projects (from shortest time to ROI to longest time to ROI):
- Augmented Intelligence, Conversational Systems, Automation, Predictive Analytics
- Augmented Intelligence, Automation, Predictive Analytics, Conversational Systems
- Augmented Intelligence, Conversational Systems, Predictive Analytics, Autonomous Systems
- Autonomous Systems, Predictive Analytics, Conversational Systems, Autonomous Systems
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Exercises for Foundations of AI & ML for Executives & Decision-Makers

Exercises for Foundations of AI & ML for Executives & Decision-Makers

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