Presented by Mr Nirmal Raja Palaparthi, Principal Lecturer & Consultant, Data Science Practice, Institute of Systems Science, National University of Singapore, at SkillsFuture Festival at NUS 2019

1. How does Analytics drive
Industrie 4.0
Nirmal Palaparthi,
NUS-ISS
24 July 2019

2. Nirmal Palaparthi
Co-founded two Analytics companies: Fractal Analytics, India’s leading third party
analytics provider and Mobius Innovations, a context awareness platform. Consulted in 17
countries, across Banking, Retail, Telecom, Consumer, Product Government and Enterprise
Software verticals.
Prior Experience:
• Independent Consultant, Singapore
• CEO, Mobius Innovations, Singapore
• Chief Architect, Fractal Analytics, Singapore
© 2019 National University of Singapore

3. Analytics
-WHAT IS IT?

4. What is Analytics?
Algorithms
Business
Acumen
Software
Tools Solve Real World
Problems
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5. Analytics drives decisions across Industries
• Services
• Chat bots
• Robo Advisories
• Retail
• Aisle traffic patterns
• Recommender Systems
• Manufacturing
• Process Improvement
• Quality Control
• Government
• Smart city service management
• Common Data infrastructure
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6. Analytics is becoming pervasive
New Age
•Embedded Analytics = AI
•Behavioural Nudging
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7. Aspects of Data Explosion
• IOT Sensor Data
• Big Data
• Streaming Data
• Unstructured Data
• Quantified Self Data
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8. Common Goals of Analytics
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Difficulty
Value
Terminology: Gartner
Diagnostic Analytics
Predictive Analytics
Decision Engineering
Descriptive Analytics

9. Descriptive Dashboards to manage the fleet
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Difficulty
Value
Terminology: Gartner
Descriptive Analytics

10. Root cause analysis for troubleshooting
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Difficulty
Value
Diagnostic Analytics
Terminology: Gartner

11. Sense and predict accidents
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Difficulty
Value
Predictive Analytics
Terminology: Gartner

12. React in time to prevent accidents
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Difficulty
Value
Decision Engineering
Terminology: Gartner

13. Deconstructing Decision Engineering

Sensors

Data
Algorithms
 Actuators

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14. Industrie 4.0
WHAT IS IT?

15. https://www.fostec.com/en/competences/digitalisation-strategy/industry-4-0/
Evolution
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16. Cyber Physical Systems

Sensors

Data Algorithms

Actuators

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17. What is a Cyber Physical System?
• IoT + Cloud + Analytics
• Sensors + Brain + Actuators
• Loosely coupled systems
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18. Adoption is across diverse sectors
• Smart Services
• Digital Layer for the Physical Product
• Pay per use and other Business Models
• Auto Diagnosis
• Completely Autonomous Systems

19. Analytics Implications
• Data collection
• Analytics is the Intelligence layer
• Pluggable intelligence
• Levels of Intelligence
• Self Aware Dashboards
• Root Cause Diagnostics
• Embedded Control Systems
• Decision Support Systems
• Packaged Intelligence
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20. Industrie 4.0
7 TRENDS AND IMPLICATIONS FOR YOU

21. #1 2019 mobile users reach 4+ billion
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22. Implications for you
• Think Mobile First
• Future skills
• Mobile App Development
• Web 2.0 Development
• API based Design
• UX Design
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23. #2 Rise of the Smart Services
• Mobile first
• Augmented Reality
• Voice Triggered Applications
• Semantic Memory of Products
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24. Implications for you
• Websites are going to “die”
• Conversational Commerce
• Future skills
• Text Mining
• Chatbot Building
• Deep Learning
• Interaction Algorithms
• UX Analytics
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25. #3 Cyber Physical Ecosystems
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26. Implications for you
• Industry Disruption
• Regulatory Standards
• Future skills
• Standards
• Open source
• AI/Machine Learning
• Robotics
• Cyber Security
• Sensing and Sense making
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27. #4 Industry is adopting Simulations
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28. Implications for you
• Digital Twins
• Physics Engines borrowed from
the gaming world
• Future skills
• Game Development
• 3D Modelling
• Simulation
• Optimisation Algorithms
• Virtual Reality
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29. #5 Additive Manufacturing is maturing
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30. Game changing Industry Implications
• Rapid Prototyping
• Labour arbitrage: old thinking
• Consumer Proximity: new thinking
• Batch Size = 1
• Disruption of the Factory
• Complete process redesign
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31. Implications for you
• Virtual Prototyping
• Virtual Testing
• Process Lego Blocks
• Future skills
• 3D Design
• Process Engineering
• Systems Thinking
• Process Analytics
• Prototyping
© 2019 National University of Singapore

32. #6 Quality control is getting predictive
© 2019 National University of Singapore
http://www.sanxo.eu/

33. Implications for you
• Predict failures before they occur
• Run controlled experiments
• Future skills
• Design of Experiments
• Dashboard Design
• Predictive Modelling
• Preventive Maintenance
• Real time Analytics
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34. #7 AI startups are emerging in Singapore
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35. Implications for you
• New Business Models
• Age of the Young Entrepreneur
• Younger Bosses
• Future skills
• Entrepreneurship
• Platform Thinking
• Collaborative Working
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36. Key Takeaways
• Continuous Lifelong Learning
• Analytics Literacy
• Design Thinking
• Networking and Collaboration
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37. Thank you
https://www.iss.nus.edu.sg/