This document discusses the Internet of Everything (IoE) and how it is evolving. It makes three key points: 1) IoE connections are growing rapidly as more "things" become connected through sensors, networks and cloud/local systems. This is blurring the lines between the physical and digital worlds. 2) IoE is evolving through six "webs" or levels of interaction between people, devices, businesses and data. Design must focus on personal experience. Big data from various sources like social media can provide insights. 3) IoE is progressing in waves, starting from basic RFID tagging and moving towards ubiquitous identification, digitization and augmentation of life through software and hardware. Industries like utilities

1. Internet of Everything
Vasyl Mylko, R&D Director at SoftServe

2. How many things
are connected today?
IoE connections counter
http://newsroom.cisco.com/ioe

9. Location unflattens the world

12. Six levels of interaction
or Six Webs of Bill Joy
Hear
Near
Far
Weird
B2B
D2D

13. How to design for
those new webs?
You should design for
personal experience!

14. Conceptualization for new webs
Six Graphs
of Big Data
Social
Interest
Intention
Consumption
Mobile
Knowledge
...
Five Sources
of Big Data
Transactional
Crowdsourced
Social
Search
Machine
...

16. Five Waves of IoT seen today
2000 2010 2020
RFID tagging.
Logistics,
inventory.
Surveillance,
healthcare,
transport, docs.
Locating people &
everyday things.
Teleops.
Telepresence.
Technologyreach
Time
Supply chain
helpers
Verticalization
Ubiquitous
identification
Digitization
of the world
Control &
tracking
Cost
reduction
Identification
out/in-doors
Miniaturization
& wireless all
Augmentation of
life by sw & hw
Source: SRI Consulting Business Intelligence & Wikipedia
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19. How it works today?
How it could work tomorrow?
Yesterday
sensors
+ networks
+ actuators
___________
IoT
Today
sensors
+ networks
+ actuators
+ cloud
+ local
+ UX
_______________
IoT
Tomorrow
sensors
+ networks
+ actuators
+ cloud
+ local
+ social
+ interest
+ intention
+ consumption
+ experience
_______________
IoE

20. Industries with greatest potential
Utilities (smart metering and distribution)
Insurance (behavior tracking and biometrics for Auto&Life product lines)
Capital Goods (factory automation, autonomous mining)
Agriculture (yield improvement)
Pharma (clinical trial monitoring)
Healthcare (leveraging of human capital and clinical trials)
Medtech (patient monitoring)
Autos (autonomous driving)
Source: Morgan Stanley Research, April 2014

21. the next 3000 days…

25. only One machine
its OS is web
it encodes trillions of things
all screens look into One
no bits live outside
to share is to gain
One reads it all
One is us...

26. the next 6000 days…