This document outlines a presentation on artificial intelligence and its applications. It discusses how digital disruption and big data are driving data science and artificial intelligence development. It explores how AI can be used for intelligent decision making, human resource management, and how AI and automation may impact jobs. The document provides examples of AI applications in areas like recruiting, personalized learning, and automation of HR tasks. It concludes that while some jobs may be replaced, AI will also create new jobs and enhance human capabilities.

1. Dr. Dickson Lukose
Chief Data Scientist

2. Outline
• The Big Scare
• Digital Disruption
• Big Data
• Data Science
• Artificial Intelligence
• Intelligent Decision Making
• Human Resource Management
• Will AI and Automation Take Our Jobs ?
• Conclusion
2

3. Outline
3
• The Big Scare
• Digital Disruption
• Big Data
• Data Science
• Artificial Intelligence
• Intelligent Decision Making
• Human Resource Management
• Will AI and Automation Take Our Jobs ?
• Conclusion

4. Artificial Intelligence will Replace Humans
4

5. Outline
5
• The Big Scare
• Digital Disruption
• Big Data
• Data Science
• Artificial Intelligence
• Intelligent Decision Making
• Human Resource Management
• Will AI and Automation Take Our Jobs ?
• Conclusion

6. Digital Disruption
6

7. Digital Disruption
7
Source: https://www.linkedin.com/pulse/digital-disruption-has-already-happened-do-you-want-lion-martin-hill

8. Outline
8
• The Big Scare
• Digital Disruption
• Big Data
• Data Science
• Artificial Intelligence
• Intelligent Decision Making
• Human Resource Management
• Will AI and Automation Take Our Jobs ?
• Conclusion

9. Digital Disruption Generates Big Data
9

10. Big Data
10

11. Data Deluge
11
80%
20%
VIDEO IMAGE TEXT
VOICE
ENGTERPRISE
IOT

12. Data Source: Enterprise Data
12
Constitute
20%
Source: http://www.improsys.in/erp.htm

13. Data Source: Social Media
13
Constitute
Part-of
80%
Source: https://allwebnmobile.com/social-media-networking/

14. Data Source: Linked Open Data
14
Constitute
Part-of
80%
Source: http://lod-cloud.net/

15. Data Source: Internet of Things (IoT)
15
Constitute
Part-of
80%
Source: http://www.sketchbubble.com/en/powerpoint-internet-of-things.html

16. Smart Data Lake
16
DATA LAKEDATA SWAMP
Enterprise Data
Sensor Web/IoT
SMART
(SEMANTIC)
DATA LAKE
Structured, Semi-Structured
& Unstructured
Unstructured (Structured) Structured & Semi-
Structured
Structured
Linked Open Data
CRAWLERS DATA HARVESTERS
WEB
KNOWLEDGE
HARVESTER
DATA
INGESTION ENGINE
Social Media
HARMONIZATION
CLEANSINGFUSION
DEDUPLICATION
SEMANTIFICATION

17. Big Data Analytics Technologies
17
Source: Linux Infrastructure Support (URL: http://linux-infrastructure.com/bigdata/)

18. Outline
18
• The Big Scare
• Digital Disruption
• Big Data
• Data Science
• Artificial Intelligence
• Intelligent Decision Making
• Human Resource Management
• Will AI and Automation Take Our Jobs ?
• Conclusion

19. Big Data brings Big Opportunities
19
Business
Transformation
from
Process Driven
to
Data Driven
Source: http://digitally.cognizant.com/data-science-the-new-monetization-model-for-analytics-industry-3/

20. Outline
20
• The Big Scare
• Digital Disruption
• Big Data
• Data Science
• Artificial Intelligence
• Intelligent Decision Making
• Human Resource Management
• Will AI and Automation Take Our Jobs ?
• Conclusion

21. Artificial Intelligence
21

22. Relationship: Artificial Intelligence & Big Data
22
Source: https://whatsthebigdata.com/2016/10/17/visually-linking-ai-machine-learning-deep-learning-big-data-and-data-science/

23. Machine Learning Workflow
23
Source: http://www.datascienceassn.org/content/machine-learning-workflow

24. Neural Network and Deep Learning
24

25. Artificial Intelligence Companies
25

26. Outline
26
• The Big Scare
• Digital Disruption
• Big Data
• Data Science
• Artificial Intelligence
• Intelligent Decision Making
• Human Resource Management
• Will AI and Automation Take Our Jobs ?
• Conclusion

27. Algorithms in Decision Making
27

28. Future Enterprise Information Management
28

29. Outline
29
• The Big Scare
• Digital Disruption
• Big Data
• Data Science
• Artificial Intelligence
• Intelligent Decision Making
• Human Resource Management
• Will AI and Automation Take Our Jobs ?
• Conclusion

30. Human Resource Management
30
Source: http://www.managementguru.net/human-resource-management/

31. Sample AI in HR Management
31
Category AI Techniques
Staffing
Personnel Selection
1. Expert System / Knowledge-based System (Hooper et al., 1998) & (Mehrabad &
Broheny, 2007)
2. Data Mining (M.J. Huang et al., 2007) & (Chien & Chen, 2008)
3. Artificial Neural Network (L.C., Huang et al., 2004) & (M.J. Huang, et al., 2006)
4. Rough Set Theory (Chien & Chen, 2007)
5. Fuzzy Data Mining (Tai & Hsu, 2005)
Training and Development
Training
Development
1. Knowledge-based System (Liao, 2007)
2. Expert System (Chen et al., 2007)
3. Fuzzy Artificial Neural Network (M.J. Huang et al., 2006)
Motivation
Job Attitudes
Performance Appraisal
1. Artificial Neural Network (Tung, et al., 2006)
2. Fuzzy Logic (Ruskova, 2002)
Administration
Meeting Scheduling
1. Software Agent (Glenzer, 2003)
Hamidah Jantan et al (2010), Intelligent Techniques for Decision Support System in Human Resource Management,
Decision Support Systems, Advances in, Book edited by: Ger Devlin,
ISBN 978-953-307-069-8, pp. 342, March 2010, INTECH, Croatia.

32. Sample AI in HR Management
32
ARTIFICIALINTELLIGENECTECHNIQUES
HUMANRESOURCEMANAGEMENT
S. Strohmeier & F. Piazza (2015) Artificial Intelligence Techniques
in Human Resource Management—A Conceptual Exploration, Intelligent Techniques
in Engineering Management, Intelligent Systems, Springer.

33. AI Companies in HR / RECRUITING
33
Source: http://www.ai-one.com/2015/01/12/ai-one-and-the-machine-intelligence-landscape/

34. Intelligence Gathering from Social Media
34
Sentiment Analytics Concern Analytics
Emotion Analytics Personality Analytics
MIMOS Technology

35. Intelligence Gathering from Social Media
35
MIMOS Technology

36. Potential Major Impact of AI in HR
Personalization: AI is helping to
personalize (make recommendation) corporate
learning by capturing meaningful employee data
relating to a wide range of learning experiences
and behaviors.
Workflow Automation: AI provide
intelligence for automating hiring processes like
interview scheduling, employee performance
reviews, employee onboarding, and answer basic
HR questions.
Improved Recruitment: AI techniques
for Natural Language Processing and Predictive
Analytics will help to speed up recruitment by
allowing you to weed people out faster and with
fewer mistakes.
Better Prediction Models: AI will
know your company almost better then you do,
being able to predict future turnover rate, reduce
(or increase) employee engagement levels,
concerns bout internal employee communications,
project completion problems.
36
Goes Beyond Key Words: Context
depended Semantic Search vs Keyword Search
Fast and Accurate: AI will be consistent,
faster, cheaper and more accurate then a human.
Perfect for Social Recruiting: Data
in the social "ether" is growing and become more
and more relevant to work place decision making.
Customizes to your Needs: With
artificial intelligence based matching, you can work
with predicted outcomes to customize the kinds of
people and skills you are really looking for. This
allows you to build the customized profile for a
particular job that is matched to your needs.
Gets Smarter: AI adjusts to patterns it
recognizes.

37. Outline
37
• The Big Scare
• Digital Disruption
• Big Data
• Data Science
• Artificial Intelligence
• Intelligent Decision Making
• Human Resource Management
• Will AI and Automation Take Our Jobs ?
• Conclusion

38. Will AI & Automation take our Jobs?
38
Source: http://www.economist.com/news/special-report/21700758-will-smarter-machines-cause-mass-unemployment-automation-and-anxiety
Source: http://waitbutwhy.com/2015/01/artificial-intelligence-revolution-1.html

39. Prediction: Sample Jobs to be replaced by
Automation and AI?
39

40. Outline
40
• The Big Scare
• Digital Disruption
• Big Data
• Data Science
• Artificial Intelligence
• Intelligent Decision Making
• Human Resource Management
• Will AI and Automation Take Our Jobs ?
• Conclusion

41. Industry Use of AI
41
(Image: Narrative Science) Source: http://www.informationweek.com/big-data/big-data-analytics/ai-creates-jobs-study/d/d-id/1320814

42. Conclusion
42
Source: https://techcrunch.com/2016/11/27/relax-artificial-intelligence-isnt-coming-for-your-job/
In contrast to technical
visionaries such as Bill Gates,
Elon Musk, and Stephen
Hawking -- who worry that
artificial intelligence could
become so advanced that it
threatens humanity -- business
leaders largely see AI as a way
to enhance human endeavor.
- InformationWeek

43. Dr. Dickson Lukose
GCS Agile Pty. Ltd.
198-202 Queensberry Road
Carlton, VIC 3053
Australia
Email: dlukose@gcsagile.com.au
Phone: +61408510817