Digital technologies have profoundly changed the ways we do business, buy, work and live. They have altered our society and continue impacting virtually all business functions and industries. It’s partially what digital business is about. With BIG DATA, IoT, Security Intelligence, Neural Networks, Artificial Intelligence and Machine Learning it is very likely that in times to come we may have social media for machines. Digital technologies that have intensely impacted our interaction with things and devices like never before can broadly be put under the three interrelated and interdepended domains. 1. Internet of Things (IoT) 2. Security Intelligence (Big Data) 3. Machine Learning Internet of Things, BIG Data and Machine Learning offers tremendous potential and opportunities, however our ability to produce data is exceeding far by our ability of producing chips that can process the voluminous data streaming live (24X7) thereby creating a lot of DATA NOISE with less actionable insights. If we look at what happened during 9/11 in America, there were lots and lots of intercepts if reports were to be believed (DATA NOISE) but all that data could not lead to actionable collated information. With Data explosion and emergence of DIGITAL ECOSYSTEM, Security is going to be a major concern. That was my take on Digital Convergence. (From Technology of Things to Analytics of things)

1. DIGITAL CONVERGENCE
(From Technology of Things to Analytics of Things)

2. Technologies that shape the FUTURE!

3. Digital Convergence of Technologies

4. DIGITAL ECOSYSTEM

5. has redefined the SOCIAL GRAPH

6. DIGITAL CONVERGENCE of Technologies is going to
redefined the PHYSICAL GRAPH

7. TECHNOLOGIES that are going shape the FUTRUE!
INTERNET OF THINGS

8. TECHNOLOGIES that are going shape the FUTRUE!
INTERNET OF THINGS
BIG DATA

9. TECHNOLOGIES that are going shape the FUTRUE!
INTERNET OF THINGS
BIG DATA
MACHINE LEARNING

10. INTERNET OF THINGS
Global network of connected people & devices

11. VIRTUALLY monitoring anything from anywhere

12. INTERNET OF THINGS
From CONCEPT to REALITY

14. INTERNET OF THINGS
Intelligent interactivity between humans and things for
information exchange with a purpose to create value.

15. INTERNET OF THINGS
Intelligent Interactions are driven by:
1. SENSORS
2. CONNECTIVITY
3. PEOPLE

16. SMART TV
SMART PHONES
SMART WATCHS
SMART CARS
SMART LIGHTS

17. SMART RETAILING
SMART LOGISTICS
SMART TRANSPORTATION
SMART HEALTHCARE

18. SMART HOMES

19. SMART BUILDINGS

20. SMART CITIES

21. All converging to evolve
into a DIGITAL
ECOSYSTEM

22. SMART THINGS?

23. SMART = SM +ART
SM – Self Monitoring
ART – Analysis &
Reporting
Technology

25. Roughly 6 IOT devices for every person

26. Market Size
14.4 Trillion USD

27. What all devices can be connected?
What are the different ways to connect?
Which Industries will be affected the most?
How big IOT in terms of connected devices?
What are the benefits of IOT?
What challenges does IOT brings along?
INTERNET OF THINGS

28. INTERNET OF THINGS
What all devices can be connected?
What are the different ways to connect?
Which Industries will be affected the most?
How big IOT in terms of connected devices?
What are the benefits of IOT?
What challenges does IOT brings along?
Almost Everything that has
ON & OFF switch

29. INTERNET OF THINGS
What all devices can be connected?
What are the different ways to connect?
Which Industries will be affected the most?
How big IOT in terms of connected devices?
What are the benefits of IOT?
What challenges does IOT brings along?
Human to Human
Human to Device
Device to Device

30. INTERNET OF THINGS
What all devices can be connected?
What are the different ways to connect?
Which Industries will be affected the most?
How big IOT in terms of connected devices?
What are the benefits of IOT?
What challenges does IOT brings along?
Virtually
All the Industries
RETAIL / HEALTHCARE / ENERGY / LOGISTICS

31. RETAIL

32. HEALTHCARE

33. ENERGY

34. LOGISTICS

35. INTERNET OF THINGS
What all devices can be connected?
What are the different ways to connect?
Which Industries will be affected the most?
How big IOT in terms of connected devices?
What are the benefits of IOT?
What challenges does IOT brings along?
GARTNER estimates – 25 Billion devices by 2020
CISCO estimates – 50 Billion devices by 2020
INTEL estimates – 200 Billion devices by 2020

36. INTERNET OF THINGS
What all devices can be connected?
What are the different ways to connect?
Which Industries will be affected the most?
How big IOT in terms of connected devices?
What are the benefits of IOT?
What challenges does IOT brings along?
CONVENIENCE
EFFICIANCY
OPTIMIZATION

37. INTERNET OF THINGS
What all devices can be connected?
What are the different ways to connect?
Which Industries will be affected the most?
How big IOT in terms of connected devices?
What are the benefits of IOT?
What challenges does IOT brings along?
DATA SECURITY & MANAGEMENT

38. IOT is NO MORE a CONCEPT - It is REAL

39. MASSIVE CONNECTIVITY leads to
MASSIVE DATA EXPLOSION

40. As per the estimates EVERYDAY more than
2.5 Quintillion BYTES
of data is produced

41. 2.5 Quintillion BYTES
=2,500,000,000,000,000,000

42. DATA SECURITY & MANAGEMENT

43. 2014
2015
2016

45. By 2020
Size of DIGITAL UNIVERSE of DATA will be
44 ZETTABYTES
equivalent to
44 TRILLION GIGABYTES

46. Roughly 6 IOT devices for every person

47. MASSIVE CONNECTIVITY
leads to
MASSIVE DATA EXPLOSION

48. 90% of the BIG DATA
Coming from
50 Billion connected devices is
UNSTRUCTURED
(Different Formats, Codes etc.)

49. 90% of the BIG DATA
Coming from
50 Billion connected devices is
UNSTRUCTURED and
Half of this DATA is
UNPROTECTED…????

50. Causing DATA NOISE

51. Key to resolving the DATA NOISE

54. HIGH PERFORMANCE
DATA STREAMING TECHNOLOGIES

56. Recognizing
DATA PATTERNS

57. Initiate
Alerts

58. Get
INSIGHTS

62. MACHINE LEARNING

63. MACHINE LEARNING
A FORMULA
A CALCULATION or
AN ALGORITHM or even
A MODEL
Having ability to learn patterns in data and
Then predict similar patterns in streaming
REAL TIME DATA

66. AdWords

68. MACHINE LEARNING quickly &
automatically produce models that can
analyse bigger, more complex data and
deliver faster, more accurate results on a
very large scale
Resulting
High-value predictions
Better guided decisions and
Smart actions
in real time without human intervention.

72. DIGITAL CONVERGENCE and it’s VULNERABILITIES
DATA produced is surpassing DATA processing capacity
DATA EXPLOSION leads to DATA NOISE
DATA NOISE offers less ACTIONABLE INSIGHTS
MACHINE LEARNING & SECURITY is going to be the
Major concern……for the….new ECOSYSTEM….

73. DIGITAL CONVERGENCE
DIGITAL ECOSYSTEM

74. CA Vinod Kr Sharma
Email: vinod.kr.Sharma@gmail.com