di Seminar Himpunan Mahasiswa Matematika Unpad

1. Andry Alamsyah, 7 November 2020
FUTURE TALENT
what the market wants?

2. Introduction
Andry Alamsyah
•Researcher / Data Scientist
•Director of Digital Business Ecosystem Research Centre
•Chief and Founder of Lab. Social Computing & Big Data
•Chairman & Founder Indonesian Data Scientist Society (AIDI)
•Faculty Member, School of Economic and Business, Telkom University
Research Field :
Social Computing, Social Network, Complex Network / Network Science, Computational Social Science, Data Analytics, Big Data, Data
Mining, Graph Theory, Blockchain Technology, Disruptive Innovation / Disruptive Economy, ICT Entrepreneurial Business, Data /
Information Business
email andry.alamsyah@gmail.com
blog andrya.staff.telkomuniversity.ac.id
repository telkomuniversity.academia.edu/andryalamsyah
repository researchgate.net/profile/Andry_Alamsyah
linkedin linkedin.com/andry.alamsyah
twitter twitter.com/andrybrew
Education :
S1 : Mathematics - ITB, Topic: Statistics
S2 : Informatics - Universite Picardie, France, Topic: Information System,
S3 : Electro and Informatics - ITB, Topic: Social Network, and Big Data
Links :

3. The Tech Speed & The Obsoletism

4. • Industry 4.0 shows trends towards automation : cyber physical system, AI, IoT, use of robotics,
Cloud & Cognitive Computing
• Industry 4.0 -> enabling human to produce large-scale data -> human behaviour quanti
f
ication
• Key Technologies : data, computational power and connectivity; analytics and intelligence;
human machine interaction; advanced production methods
the environment
Deloitte, Industry 4.0
the roadmaps
Industry 4.0

5. Human-Centred Society
with the help of state-of-the-art technology that integrates cyber and
physical space to resolve various modern social challenge
Society 5.0
Problem
reduce poverty, job opportunity, education for all,
entrepreneurship opportunity, precision healthcare, etc
Domain
business, politics, government, health, employment, social
welfare, security, defense, agriculture/
fi
shery, etc
Big Data, AI, Blockchain
Decade 2010s -> Big Data, Data Analytics, Machine Learning
Decade 2020s -> Arti
f
icial Narrow Intelligence (Domain Base)
Decade 2030s -> Arti
f
icial General Intelligence (Human Level Intelligence)
Decade 2040s -> Arti
f
icial Super Intelligence (Better than Human)

6. technological based society
massive human/social/machine
data production
information overload
acquire new value/culture -
empower individual
disruptive nature -
sustainability problem
ability to pro
f
ile human/
society
human complex behaviour
measurement
highly addictive social media
Digital Ocean

7. Competing Ecosystem & Data
IHS World Industry Services, McKinsey, 2017

8. Data Inequalities
more data
more accurate
more personalized service
more monetization
• Personalize Services has the highest impact due to
the power of targeting the audience based on the
capabilities to predict the audience behavior.
• This leads to data collection massive e
ff
ort to get
better individual pro
fi
ling model. Biggest data point
=> better services => better monetization.
• Inequalities capabilities to compete
• Unfair business model => need new technology =>
enter Blockchain
McKinsey, The Age of Analytics, 2016

9. SOURCE
(human/social, machine, transaction)
review, opinion, conversation, network of friendship
(social media), transaction data, historical data, CCTV,
Vlog, location, tagging, sensors (IoT), etc
DATA SCIENCE
the science to extract knowledge / pattern from
data
DATA ANALYTICS
the process to uncover "hidden" patterns,
unknown correlation, and other usefull
information
*DATA ENGINEERING
*DATA MANAGEMENT
BIG DATA
(the V's data)
large, fast, complex
INSIGHT
by describing the phenomenon,
by predicting the value,
by estimating the future outcome,
by optimising the resources and the
decision,
by simulating all the possible scenarios ..
• Business : market segmentation, personalized advertising,
customer acquisition and retention, purchase behavior, brand
awareness.
• Transportation : self driving car, real time tracking.
• Communication : information dissemination, early detection
event, identi
fi
cation hoax / fake news / hate speech.
• Precision Healthcare : cancer detection, precision disease
treatment and prevention.
• Education and Entertainment : recommender system,
personalized content.
• Banking : fraud detection, risk analytics, credit score,
recommended investment, smart accounting / auditing.
• Society : human / social quanti
fi
cation (people analytics).
supporting
how (big) data
analytics can
helps ?
activity
the science
opportunity
bene
fi
t &
application
supervised learning unsupervised learning
MACHINE LEARNING
ARTIFICIAL INTELLIGENCE
program with the ability to learn and reason like human
methodology
foundation

10. Data Scientist Talent & AI
Decade 2010s -> Big Data, Data Analytics, Machine Learning
Decade 2020s -> Arti
f
icial Narrow Intelligence (Domain Base)
Decade 2030s -> Arti
f
icial General Intelligence (Human Level Intelligence)
Decade 2040s -> Arti
f
icial Super Intelligence (Better than Human)

11. Everyday AI

12. AI Trend : Generative Model
Generative Modeling VS Discriminative Modeling

13. AI Trend : Generative Model

14. AI Index Annual Report, 2018
Research Activities Computing Power
Business Overview AI Capabilities
AI Growth

15. Jobs Comparison
AI Growth
AI Index Annual Report, 2019
AI Startup

16. Disruptive Model and Its Characteristics McKinsey, The Age of Analytics, 2016
AI Disruptions

17. Example : Precision Healthcare
McKinsey, The Age of Analytics, 2016
AI Disruptions

18. From Automated to Augmented
Accenture, Rede
fi
ne Banking with AI, 2018

19. Deloitte, Tech Trend 2018
- AI, automation, and cognitive tech gains traction =>
talent with new skill set => Human - AI powered
- Reinvent worker roles, assigning some jobs to humans,
others to machines, and still others to a hybrid model
in which technology augments human performance.
- Talent involve collaborating / team working with
colleagues / partner virtually, working with cognitive
agents, bots, and the other AI-driven capabilities.
Human - AI

20. Future Employment

21. Impact on Talent
World Economic Forum, Future of Jobs, 2018
Ratio Human - Machine Working Hours
Comparing Skill 2018 vs 2022, Top10

24. Big Data Analyst
International Certi
fi
cation
Blockchain Tech. Consultant
International Certi
fi
cation

25. THANK YOUany question ?