The biggest barrier to the deployment and adoption of artificial intelligence and machine learning is bad data quality. Data from alternative resources and unstructured data is becoming increasingly important but must be “refined” before their insights become truly valuable for use.

1. AI
Artificial Intelligence and the importance of Data
By : Professor Lili Saghafi
proflilisaghafi@gmail.com
https://twitter.com/Lili_PLS
Prepared for The 36th Canadian Conference on
Artificial Intelligence (CANAI)
McGill University
June 5 to 9, 2023
https://proflilisaghafi.wixsite.com/prof-lili-saghafi
https://sites.google.com/view/professor-lili-saghafi/home
https://asktlc.padlet.org/LiliS/s4fkt29scy8bpkne
https://www.linkedin.com/in/professorlilisaghafi/

2. AI History
PLS 2

3. Types of AI
PLS 3

4. PLS 4

5. General Examples
PLS 5

6. General Examples
PLS 6

7. General Examples
PLS 7

8. General Examples
PLS 8

9. General Examples
PLS 9

10. The relationship between DATA
and AI
PLS 10

11. Types of DATA
PLS 11

12. Types of DATA
PLS 12

13. Databases and Storage
• Where do we store data ?
PLS 13

14. Databases and Storage
PLS 14

15. Databases and Storage
PLS 15

16. RDBMS vs. Columnar: Row-Oriented databases for OLTP and Column-
Oriented databases for OLAP applications. Image is by the author and
released under Creative Commons BY-NC-ND 4.0 International license.
https://towardsdatascience.com/datastore-choices-sql-vs-nosql-database-ebec24d56106
PLS 16

17. When to use SQL vs. NoSQL: Decision tree and cloud cheat sheet for
database choices on AWS, Microsoft Azure, Google Cloud Platform, and
cloud-agnostic/on-prem/open-source. Image is by the author and released
under Creative Commons BY-NC-ND 4.0 International license.
https://towardsdatasci
ence.com/datastore-
choices-sql-vs-nosql-
database-
ebec24d56106
PLS 17

18. SQL vs. NoSQL: Difference between NoSQL and SQL databases. Image is by
the author and released under Creative Commons BY-NC-ND 4.0
International license.
https://towardsdatascience.com/datastore-choices-sql-vs-nosql-database-ebec24d56106
PLS 18

19. Data input for AI Models
PLS 19

20. Data and AI sequence of steps
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21. Data and AI sequence of steps
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22. Performance Evaluation Metrics
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23. Performance Evaluation Metrics
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24. https://towardsdatascience.com/accuracy-precision-recall-or-f1-331fb37c5cb9
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25. Performance Evaluation Metrics
PLS 25

26. The AI Lifecycle
PLS 26

27. The AI Lifecycle
PLS 27

28. The AI Lifecycle
PLS 28

29. https://learn.microsoft.com/es-es/azure/architecture/data-science-process/lifecycle-
modeling
PLS 29

30. Types of AI-Enabled Learning
PLS 30

31. Supervised Learning
PLS 31

32. Types of Data Annotations
PLS 32

33. Unsupervised Learning
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34. Reinforced Learning
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35. PLS 35

36. Types of AI Technologies

37. Machine Learning (ML)
PLS 37

38. Machine Learning (ML)
PLS 38

39. Deep Learning (DL)
PLS 39

40. Neural Network
• A neural network is a method in artificial
intelligence that teaches computers to process data
in a way that is inspired by the human brain. It is a
type of machine learning process, called deep
learning, that uses interconnected nodes or
neurons in a layered structure that resembles the
human brain.
PLS 40

41. An artificial neuron
A nerve cell ( neuron)
Brain, neural network
PLS 41

42. Natural Language Processing
(NLP)
PLS 42

43. https://corenlp.run/
Natural Language Processing (NLP)
PLS 43

44. Natural Language Processing
(NLP)
PLS 44

45. Robotic Process Automation (RPA)
PLS 45

46. Operation Research (OR) And
Reinforcement Learning (RL)
PLS 46

47. Operation Research (OR) And
Reinforcement Learning (RL)
PLS 47

48. https://ivado.ca/en/
PLS 48

49. PLS 49

50. Prediction Capabilities
PLS 50

51. Prediction Capabilities
Forecast
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52. https://www.analyticsvidhya.com/blog/2020/07/time-series-forecasting-using-
microsoft-power-bi/
PLS 52

53. Prediction Capabilities
Binary And Multi-Class Classification
PLS 53

54. Prediction Capabilities
Anomaly Detection
PLS 54

55. Prediction Capabilities
Anomaly Detection
PLS 55

56. Prediction Capabilities
Computer Vision
PLS 56

57. Prediction Capabilities
Image Mining
https://www.researchgate.net/figure/Text-
Mining-Process-Liang-5_fig9_229019074 PLS 57

58. Interactive AI Tool
https://huggingface.co/spaces/dalle-
mini/dalle-mini
PLS 58

59. Interactive AI Tool
https://huggingface.co/spaces/dalle-
mini/dalle-mini
PLS 59

60. Interactive AI Tool
PLS 60

61. Questions ?

62. Resources and Image Credits (under Creative
Commons BY-NC-ND 4.0 International license.
1. Database Services on AWS
2. AWS Whitepaper: Overview of Amazon Web Services — Databases
3. How to choose the right database — AWS technical content series
4. Understanding Azure datastore models
5. Types of databases on Azure
6. Google Cloud database services
7. Data lifecycle and database choices on Google Cloud Platform
8. https://www.microsoft.com/en-us/ai/autonomous-systems-project-bonsai-how-it-works
9. https://www.analyticsvidhya.com/blog/2020/07/time-series-forecasting-using-microsoft-power-bi/
10. https://www.researchgate.net/figure/Text-Mining-Process-Liang-5_fig9_229019074
11. https://towardsdatascience.com/accuracy-precision-recall-or-f1-331fb37c5cb9
12. https://openai.com/dall-e-2
PLS 62

63. PLS 63

64. AI
Artificial Intelligence and the importance of Data
By : Professor Lili Saghafi
proflilisaghafi@gmail.com
https://twitter.com/Lili_PLS
Prepared for The 36th Canadian Conference on
Artificial Intelligence (CANAI)
McGill University
June 5 to 9, 2023
https://proflilisaghafi.wixsite.com/prof-lili-saghafi
https://sites.google.com/view/professor-lili-saghafi/home
https://asktlc.padlet.org/LiliS/s4fkt29scy8bpkne
https://www.linkedin.com/in/professorlilisaghafi/
Thank You
Any Question?