1. A computer doesn’t understand strategizing

2. Artificial intelligence is the science of training computers to perform tasks that typically
require human intelligence to complete.

3. The machine can ingest massive amounts of information, extract key features, determine a method of analysis, write the code to execute the analysis and produce intelligent output.

4. The machine learns from data that it receives by identifying patterns and relationships within the data itself.

5. Artificial intelligence is built on the foundation of two technologies: machine learning and __________________________.

6. Machines can continuously analyze substantial amounts of information and transform what they have read, heard, and observed into intelligent insights on a tremendous operational scale.

7. The foundation skills of NLP facilitate stronger collaboration between humans and machines to understand machines’ output and provide new input for a machine to learn, comprehend, and reason.

8. AI capability is the operational task you want a machine to perform, and it requires you to consider the objective you want to achieve.

9. AI can be used on Pattern recognition. Understand typical trends or behaviors for customer financial transactions and spot anomalies in an account’s spending data to identify potentially fraudulent behavior.

10. AI can be used on prediction. Capture short- and long-term variability in data to improve forecasting of energy consumption.

11. AI can be used on speech to text. Transcribe customer call center voice messages to text for detection of sentiment and further analysis.

12. Natural language interaction (NLI) is a software application to generate a report on sales revenue predictions without having to run the reports yourself.

13. Natural language generation (NLG) get summaries of everything that has been
analyzed from a large document collection.

14. For AI applications to be effective, they must be based on objectives and data parameters.

15. I have a vision in to the future where machine automatization plays a great role in human sociality.

16. I have strong computer programming skills, expert mathematical skills, or knowledge of cloud applications and computer languages.

17. I have excellent communication and analytical skills.

18. I have or I am working to obtain a certification like machine learning.

19. I prioritize data gathering and analysis to augment product quality.

20. I am familiar with at least one type of AI: reactive machines, limited memory, the theory of mind, and self-awareness.

21. I am proficient in at least one programming language.

22. I constantly look for a new and radical approach to resolve problems.

23. I see AI as a tool that allows us to improve financial performance, and a decline in time spent on tedious data entry.

24. I strive to develop my organization cognitive capabilities in the next several years to achieve our business objectives.

25. I am comfortable with the idea that robotic automation projects are likely to lead to some job losses in the future.

26  I have a passion for modeling, to use new data to make predictions or put things into categories to make improvements overtime.

27. Cost-saving and prediction are thriving forces for me.

28. I am willing to learn more about data science and acquire statistical and big data skills.

29. I make a high-priority to communicate high demand projects throughout the organization.