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1. ReInventing the
ReThinking thru
Industry 4.0
DSK CHAKRAVARTHY
11TH MAY 2020

2. Loyal Wingman
DSK Chakravarthy
• Agile Coach / PM / Architect / Developer /
Student
• More than 24+ years of IT Experience

3. Thank You
LinkedIn
http://linkedin.com/in/varthy
Twitter
@Chakravarthy
Email
dskc@live.in
Phone
99 6363 7677

4. Next 90 mins
• Intelligent Machines
• Industry 4.0
• IoT
• IIoT – v1
• IIoT – v2
• AIoT
• Predictive Machines

6. Archives
From manual push to stream engine..
Engine with electricity ..
Electricity within CHIPs
CHIPs interacting with others

7. Most popular dipiction

8. Industry 4.0 Evolution
“High-Tech Strategy” at
Hannover Messe
2006
Germany
Govrnment
Dr. Kagermann, Dr. Wolfgang Wahlster
of the German Research Center for
Artificial Intelligence (DFKI)
Dr. Wolf-Dieter Lukas from the Federal
Ministry of Research and Education
2011
Presented Results of
Work
Report submitted for
the need of a
common platform
Big milestone
Oct 2012
Platform launch at
Hannover Fair
April 2013
Platform Industrie 4.0
Companies, associations, unions added
April 2015
Platform Industrie 4.0
expanded
2030 Roadmap
Big milestone
April 2019

9. Not tell them what to do next,
Let the systems give us options that we have ..

10. • Erasing the boundaries of Digital systems with
Biological systems and preparing Physical
systems equipped with artificial intelligence
• Not changing WHAT we do, but HOW
• It’s not about GROWTH generation, but
VALUE proposition
• It’s not about QUANTITY, but QUALITY
• Opportunities for ALL
We Envision..
Fourth
Industrial
Revolution
Ethics and
Identity
Agile
Technology
Governance
Inequality
Business
Disruption
Disruption
to Jobs and
Skills
Security
and
Conflict
Innovation
and
Productivity
Fusing
Technologies

11. • Tools from Nomadic ERA
1. Sharpened stones (Oldowan tools): 2.6 million
years ago
2. Stone handaxe (Acheulean tools): 1.6 million
years ago
3. A new kind of knapping (Levallois technique):
400,000 to 200,000 years ago
4. Cutting blades (Aurignacian industry): 80,000
to 40,000 years ago
5. Small, sharp micro blades (Magdalenian
culture): 11,000 to 17,000 years ago
6. Axes, celts, chisels (Neolithic tools): around
12,000 years ago
Time & Transformation
Transform
ation of
Time &
Era
Nomadic
Agri-
culture
Industrial
Information
Know
ledge
!!??
• Specifics from Agriculture ERA
1. Identified during the ICE Age, about 11,7000
years ago
2. Earliest evidence dating between 14,500 and
12,000 bp in SouthWest Asia
3. Crops borrowed from Indians included maize,
sweet potatoes, tomatoes, pumpkins, gourds,
squashes, watermelons, beans, grapes, berries,
pecans, black walnuts, peanuts, maple sugar,
tobacco, and cotton; white potatoes
indigenous to South America

12. Evolution of New ERA
Sense of Connectedness
(or)
Connected NonSense !!

13. Source: i-scoop.eu

14. • Local computing nodes, between the endpoints (e.g. sensors, cameras, etc)
• Cloud data centers, to gather, store and process data instead of using a remote data
center
• Connected devices send data and receive instructions to and from a nearby node,
usually installed on premises
• Adoption of cross industry standards & frameworks for mutual data exchange and
functioning
• Realtime collobaration with infracture with Open wifi connectivity
Industrial IOT - Implementation

15. Intelligence Induction
End
User
Apps
inet
http
App
Servers
Application
Base Predictions
Transformed
Datasets
Leadership
Board
Data
Scientist
Visualisation, Matrics,
Interpretation, UI/UX,
Leading, Lagging, etc.,
Deep Learning
Feature Engineering
NLP Text
Timeline Series
Broadcast
Authoring
Scheduling
Executing

16. Industrial IoT
Is it SHARED Knowledge
(or)
Collective Responsibility

17. Worklife balance ..

18. Industrial Internet Consortium – inception
On 27th March 2014, AT&T, IBM, Intel, Cisco and GE came
together to form a common forum for mutual collaboration
Bringing together the ECO system
Clearly, there is no single WINNER in this game, but, the
Winning ECO System
Need of Industry Internet Architecture Framework and
Security Stanadards
Almost 300+ companies from 35+ countries joined hands

19. Industrial Internet Consortium – purpose
 Scalability & Flexibility
thru cloud platform
 Real time monitoring for
predictive analysis
 Tapping BigData for
Asset management
 Mobility for AnyTime
and AnyWhere Access
 Security
 Transition to Intelligent
machines

20. IIRA - Industrial Internet Reference Architecture
Source : https://www.iiconsortium.org/stay-informed/IIRA.htm

21. Education and
Evaluation. Teaching
and Training
Feature detection in
chemical composition
& drug definition
Drones replacement in
items delivery, auction,
Internet Services, etc.,
Hypothesis

22. IIC Intervniew

23. IIOT – Another IOT!! ??
Is it crazy buzz word (or)
Collective Responsibility

24. Computer Vision and
Object Detection
applications
Chat BOTs, Incident
identificators, SPAM
prevention techniques
Microbes for artificial
limbs, prevention of
disease spread
Hypothesis

25. Microsporidia

26. Artificial Intelligence
with IoT !!??
Is it Fiction (or)
Fantacy / Fact

27. “If you can film an
idea in your mind,
follow that film idea
shot for shot, scene for
scene, that idea is
worth making.
- CRAIG MAPP

28. Increase in IoT Devices
1. Data collection
2. Activity Filtering
3. Detailed filtering
4. Actionable Results

29. AI + IoT in Practice
Data mining
Pattern
Recognition
Bench
Marking
Data
Inference
Business
Alignment
Actionable
Intelligence
Analytics
Creating
Awareness
Train and ReTrain ..
Creat the future, not wait for it..

30. AI+ IoT Concept Phase
Idiation
Creativity
in Action
Out-of-
Box
Visibility
Collabo
rationPoC
Contract
Exchange
Technology
Skills / Leadership
Productivity
Social Media
ReturnOnInvestment
CustomerSatisfaction
NewOpportunities

31. AI + IoT => Implementation Phases
Improve
Segmentation
Understand the Customer / Need / Opportunity
Derive Business
Purspective / UseCase
Identify
Demand / Services
Provide
Opportunity
Improve
Predictive Analysis
Revenue Generation
Revenue Leakage
Pattern
Recognition
Value
Generation
Predictive
Maintenance
Financials
New Leads
Converstion to
New Business
Trends
Create Awareness

32. Predictive Machines
Are we in Present (or)
Future..

33. Prediction First
Employee First, Customer NextCustomer First, Employee Next
Web First, Mobile NextMobile First, AI NextAI First, Business Next

34. Making “Predictive Machine”
• Neural Networks
• Virtual Reality
• Mixed Reality
• Augmented Reality
• Cheaper-Better-Faster

35. We are closer than yesterday

36. Intelligence Machines:
From Novel => Nest
Nest => Invest
IoT:
Internet => InterConnect
Indepent => InterDependent
Industrial IoT:
Confront and
Communicate
Intelligent IoT:
Analyze => BaseLine
AIoT:
Prepare to Predict
Predictive Machines:
Journey to new
horizons
Key Takeaways

37. Tips for “Future Machines”
Understand the workflow and workforce.
Prepare the Judgement and Actions.
Work with Tasks automation along with
• Prediction Data
• Judgement Rules
• Realistic Actionable activities
• Record the Outcome
• Archive Learning and Outputs

38. • What are the key standards that you think would be important for machines to be
intelligent enought?
• Let me know the idea that makes the near future as Industrial IoT marketplace.
• What do you think is the SKILL that has the potential for changing the midsets of
people in industry?
Call to Action

39. Questions !!
I know very less, thus, will not
have answers for your questions,
but, will learn for you.