mcrock_industrial_internet_of_things_report_2014.pdf

(2973 KB) Pobierz
Industrial Internet
Of
The
Things
#IIoTReport
“The Industrial Internet of Things (IIoT) is the next wave
of innovation impacting the way the world connects and
optimizes machines. The IIoT, through the use of
sensors, advanced analytics and intelligent decisioning,
will profoundly transform the way field assets connect
and communicate with the enterprise. ”
Content
Rise of the Machines
Cisco’s Paul Howarth
The Digital Oilfield
Shell’s Henrik Holland
Grid Automation
GE’s Yida Sun
Advanced Manufacturing
Echelon’s Varun Nagaraj
Intelligent Transportation
2
3
5
6
12
13
17
18
24
Company List
Ayata
8
Pure Technologies 10
Awesense
15
RtTech Software
20
Sight Machine
22
Miovision
25
IIoT Radar
27
#IIoTReport
Join the discussion on twitter
Rise
Of The
Machines
The
Industrial Internet of Things
is connecting the physical world
of sensors, devices and machines
with the Internet and, by applying
deep analytics through software,
is turning massive data into
powerful new insight and
intelligence. We are entering an
era of profound transformation as
the digital world is maximizing the
efficiency of our most critical
physical assets.
Cisco’s CEO has pegged the
Internet of Things at a $19 trillion
market. The IIoT is a significant
sub-segment and includes the
digital oilfield, advanced
manufacturing, grid automation,
and smart cities. We are
experiencing incredible
innovation around the internet as
it accelerates the connection of
objects not only with humans but
with other objects. Every Industry
will change.
2
To The Point
The Point
To
The Industrial IoT
On
Paul Howarth
Senior Manager, Corporate
Development
McRock: Cisco has been a proponent of the IoT.
The Industrial IoT has risen from this concept and is
a topic of great interest. What’s your view on this
emerging area?
Paul: People might describe the Industrial
Internet as emerging because, with a few
exceptions, the transformations have been at a
fundamental industry function level. Consumers
have typically led industry by bringing technology
like social networks and then mobile computing
devices into the enterprise. The shift to the
Industrial Internet will be much more subtle and
led by industry experts, who are starting to use
cloud based solutions to drive automation and
productivity. All of this is supported by massive
data sets from their own sensors,
and
those of
others, which is what makes the Internet of
Everything (IoE) different than the closed systems
of the past.
“IoT as a
concept has
crossed the
chasm from
slideware to
reality with
many
industries
implementing
IoT solutions.”
3
Cisco: The IoE Vision
McRock: Why is the Industrial Internet of Things a big deal?
Paul: What makes this exciting is that only 1% of the world’s devices are
connected today. This creates an obvious opportunity for those that want
to connect all those devices but it’s also a great opportunity for a number
of new businesses to be created that can help industries derive value from
all of the new data that will be available.
McRock: What, in your opinion, needs to be done for broader adoption of the
Industrial Internet of Things?
The bottleneck isn’t really the technology; the fundamental components or
“things” are all there. What the market needs is more industry innovators
who can put the technology together in unique ways that will solve specific
industry problems. It’s one of the reasons Cisco uses the term Internet of
Everything because it includes the people and processes that will change
industry, not just the “things”.
In support of this vision of connecting people, processes and things, Cisco
announced four global IoE Centres of Excellence at CES in January, including
one in Cisco Canada’ new Toronto headquarters opening in 2015. Centre’s,
like the one in Toronto, will provide a unique environment for industry
experts to gain exposure to the underlying industrial internet technologies
allowing them to create new innovative solutions. Of course there are some
technology factors like machine learning that are still in the early stages.
Machine learning provides the potential to move IoE automation beyond
the simple binary “yes/no” decisions computers can make for us today into
something that is more context aware.
4

Plik z chomika:

Inne pliki z tego folderu:

Inne foldery tego chomika:

Zgłoś jeśli naruszono regulamin