3. Guess what we need to be doing by 2020 if we are to be a leader
4. Origin: Internet of Things
In 1990, graduate of MIT and current principal of Blue Forest Research, LLC., John Romkey, invented the first
Internet “device,” a toaster that could be turned on and off over the Internet
But it wasn’t until 1999 that the “Internet of Things” was officially coined by Kevin Ashton, executive director
of the Auto-ID Center. He used the phrase in a title of a presentation at Proctor & Gamble. And just one year
later, LG announced plans for an “Internet refrigerator,” bringing the Internet of Things into the new
millennium.
Origin: M2M
One of the first data-transmission circuits was developed in 1845 between the Russian Tsar’s Winter Palace
and army headquarters through telemetry.
Modern-day mobile M2M technology emerged around 1995
A quick look at the History of IOT
6. • MQTT: a protocol for collecting device data and communicating it
to servers (D2S)
• XMPP: a protocol best for connecting devices to people, a special
case of the D2S pattern, since people are connected to the servers
• DDS: a fast bus for integrating intelligent machines (D2D)
• AMQP: a queuing system designed to connect servers to each
other (S2S)
Protocol Overview
7. Synopsis
The era of micro applications is on the rise, Realtime Business Decisions and actions are of paramount
importance.
Time to react to market demand is key to any organisation.
Any system that delivers the ability to integrate micro applications rapidly will have a clear advantage.
Integrating with existing systems is best done with API gateways which means if a change happens on one side
of an organisation only the gateway needs to be adapted rather than having to update thousands or millions of
devices.
23. “The real world is mostly event driven, and event-driven situations are best addressed by event-
driven business applications”.
Business Event Processing
Every 20 years a new dispute
innovation changes the way
we do IT
Sense and Respond to
Actionable situations
1970s
1990s
2010s
Transaction Driven Paradigm
Discrete (data oriented) transaction processing)
Process Driven Paradigm
Orchestration (process oriented) of human and system tasks
Event Driven Paradigm
Holistic (context oriented) event
processing
Social Media reflects Events faster than Traditional Business Systems
Unified Business
27. Maturity Model for Internet of Things
Maturity
Networking and Simple Reporting
Controllable Devices and Assets
Condition-Based Monitoring
Analytics and Predictions
Integration into the Corporate
Processes
New Service & Business
Models
Basic
Intermediate
Advanced
Leader
Expert
Experienced
Added Value for the
Company
Knowledge Based
Society
Supporting
Technologies:
Big Data
Internet of Things
Cloud
Mobile
Analytics
Integration
37. Where I am Where
I Work
Where I Spend
My Money
Things That
Take Me
Around
Things That
Surround
me
Where
Relax
Around My
Body
What I Carry
Around
On Me In Me
Industrial
Internet
Smart Supply
Constellations
Smart
Cities & Transport
Connected
Homes
Wearable
Clothing
Digital
Health
Invisible
Computing
Connected
Government
Intelligent
Consumer Electronics
38. Where
I am
Where I
Work
Where I
Spend My
Money
Things
That Take
Me
Around
Things
That
Surround
Me
Where I
Relax
Around
My Body
I Carry
Around
On Me In Me
Connectivity
Sensors
+
Connectivity
Device
Sensors
+
+
Fashion
Connectivity
Device
Sensors
+
+
+
Connectivity
Robotics
Sensors
+
+
Connectivity
Device
Sensors
+
+
Buildings
Connectivity
Machines
Sensors
Robotics
+
+
+
+
Robotics
Connectivity
Machines
Sensors
Infrastructure
+
+
+
+
Buildings
Connectivity
Machines
Sensors
+
+
+
Infrastructure
Connectivity
Buildings
Sensors
+
+
+
Connectivity
Infrastructure
Sensors
+
+
42. •Define the target use cases. Be specific; engage IT, the lines of business and clients; and get buy-in.
•Evaluate the return on investment for the business. Add up all costs, internal and external, and figure
out how the data will actually be monetized.
•Define the data collection and environmental requirements in terms of the type of sensors,
power, temperature range, etc.
•Define the data management and analysis requirements.
•Define governance and retention requirements.
•Prototype, pilot and test a solution -- and make sure it's doing what you expect!
Ways to get ready for IoT
43. IoIT
“We are closer to an Internet of dumb
things, and far from an Internet of things that
are natively intelligent”
