The document discusses how the Internet of Everything (IoE) is changing business through connecting people, processes, data and things. It notes that IoE involves connecting 39% of people and 13 billion connected things which generate more data in a year than the previous 5000 years combined. For businesses to benefit from this data, they must address challenges of integration, automation and analysis. It suggests data virtualization and edge computing/analytics can help with integration and automation, while analytics transforms data into useful insights. Overall the document outlines how IoE is driving changes to business processes, skills needs and innovation through connecting more entities and generating more data.

1. The Internet of Everything
Changes Everything
The Future of Work
Blair Christie, SVP and Chief Marketing Officer
December 10, 2014

2. © 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 2
The IoT Is More Than Just Things
People
Source: Cisco IoT Global Study, 2014
20%
Things
13%
Process
27%
Data
40%
Source: Cisco Consulting Services “Internet of Things” Global Study, 2014

3. Technology
powers
More data in
one year than
In previous
5000
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Internet of
Everything
Process
Data
39 People
%
of the world is
connected
13B
connected
things
80 %
of business
processes
Things

4. Most Important BUSINESS Drivers of IoT
#1 #2 #3
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Demand for Faster
Product or Service
Innovation
Increased Level
of Globalization
Demand for Better
Customer
Experiences
Source: Cisco Consulting Services “Internet of Things” Global Study, 2014

5. Innovation in Data and Processes Is Key
2 How do I
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What Executives Are
Asking About Data and
Processes
business
outcomes? 1 How do I
optimize
processes to
achieve desired
integrate,
automate, and
analyze data
from thousands
of connected
assets?

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Moving data to insight

7. Before Transforming Data into Insight,
3 Challenges Must Be Met
Integration Automation Analysis
What is the most important
Q
Q enabler of IoT use?
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Data virtualization
solutions integrate widely
dispersed data when it is
not feasible to move all
data to a centralized node
for integration.
Automation at the edge
can determine whether
to move the data to the
analytics, or to move the
analytics to the data.
In the cloud or at the edge,
analytics transform data
into actionable insights
that drive better decision-making
and improved
business outcomes.
What is your biggest
device-management challenge?
Integrating devices with existing systems Analytics tools for big data
Source: Cisco Consulting Services “Internet of Things” Global Study, 2014

8. Integration: Virtualization Unites Data from
Multiple Sources
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Virtualized
Data
Virtualized
Data
Virtualized
Copy
Virtualized
Data
Virtualized
Data
“It’s only when data from several
different sources is requested by
users that it’s integrated, but not
before that. In other words, data
virtualization supports integration
on demand….”
Big Data
Cluster
Connected
Devices
Rick van der Lans,
“The Network Is the Database: Integrating Widely
Dispersed Data with Data Virtualization”
Traditional
Data Sources
Source: Beye Network, January 2014

9. Automation:
Knowing When To Move Analytics to the Data
Edge Computing / Analytics Can Save a Typical Retail Store
Nearly $34k Annually
Use Case: Security cameras and video analytics
Scenario: Processing video data locally reduces network load
Benefits: Store with 100 security and video analytics cameras could save
$33,800 annually
For a store with $20M in annual sales, this is a 1.7% annual EBIT increase
“Most data will be
processed at the edge”
(mobile devices, appliances,
routers) Q
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CASE STUDY
Three years from now, where will most data
generated by IoT solutions be processed?
37%
Source: Cisco Consulting Services “Internet of Things” Global Study, 2014

10. Analytics: Transform Data into Actionable Insights
for Better Decision-Making and Improved
Business Outcomes
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Analyze
Data
Generate
Insights
Convert Insight
Into Action
Q Which technology development is the most
important enabler of IoT in your organization?
42%
“Data analytics tools
(i.e., for Big Data)”
Source: Cisco Consulting Services “Internet of Things” Global Study, 2014

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What’s holding back
our innovation today?

12. 50% 48% 47% 45% 45% 43% 39%
Manufacturing Transportation Metals
& Mining
Public
Sector
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Oil & Gas Retail Utilities
nearly HALF
of all manual
processes
could be
automated
Source: Cisco Consulting Services “Internet of Things” Global Study, 2014

13. Innovation ecosystem,
both inside and outside the organization
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14. By 2015, 90% of all jobs will require some
level of IT and networking skill
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International Data Corporation ©2014 Cisco and/or its affiliates. All rights reserved. 14

15. Cisco Internet of Everything Education Portfolio
Network Security
2.35M Certifications Worldwide
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Programmability
Business
Transformation
Internet
of Things
Source: Cisco IoT Global Study, 2014

16. Ecosystem is critical to our innovation
37%
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30%
21%
12%
Strategic
Planning
Understanding
Business Case
Implementation
Operational
Management
Source: Cisco IoT Global Study, 2014

17. WORK
© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 17 Speed and Scale
Fast Innovation
Future of

18. Blair Christie
blchrist@cisco.com
@BlairChristie