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The Industrial Internet of Things
Overcoming Adoption
Challenges to Release the
Value Within IIoT
What is the Internet of Things (IoT)?
Everyday objects with network
connectivity can send and
receive data
Smart Environment
Control
Smart Television
Smart Light
Control
Smart Motion
Sensor
Smart STB
Smart Remote Control
Smart Door Control
2
What is the Industrial Internet of Things
(IIoT)?
Business-to-business devices and objects
with network connectivity can send and
receive data
With IIoT, sensors collect and
analyze data from machines,
devices, facilities, fleets and
more 3
Market Size/Opportunity of IIoT
4
Predictions:
25
Billion
devices connected to the
Internet by 2015
50
Billion
devices by 2020
$309
Billion
in additional revenue for suppliers
of connected devices by 2020
$1.9
Trillion
in cost savings and
improved productivity
$10-$15
Trillion
increase in global GDP over the
next 20 years, thanks to gains in
productivity
CISCO GARTNER GE
Why Does IIoT Matter?
Revolutionizing the Way Business is Done
5
IIoT Results
Reductions Improvements
Unplanned Downtime
Maintenance Cost
Increased Productivity!
Manufacturing Processes
Machine Efficiencies
+
6
7
Key Industry Segments Where IIoT is Used
Transportation
 Telematics
 Industrial fleet
management
 Proactive monitoring
 In-vehicle entertainment
 Vehicle navigation
 Safety services
 Concierge services
 Remote engine
diagnostics
 Personalized insurance
Manufacturing
 Supply chain management
 Asset, cargo and container
management
 Geofencing
 Machine diagnostics
 Machine telemetry
 Inventory control
 Industrial automation
control
 Real-time equipment
monitoring
Retail & Finance
 Smart payments
 Smart cards
 Point-of-sale terminals
 ATM & kiosk monitoring
 Vending machine
monitoring
 Digital signage
 Electronic billboards
Oil & Gas
 Monitoring and
controlling drills, wells
and pipelines
 Telemetry
 Remote automation
 Sensor networks in the
earth’s crust
 Cellular- and satellite-
based M2M devices
8
Key Industry Segments Where IIoT is Used
Utilities
 Meter reading
 Proactive alerts
 Alarms
 Smart grid applications
 Remote building
temperature control
Healthcare
 Home healthcare
monitoring
 Hospital patient monitoring
 Hospital equipment
monitoring
 Remote telemedicine
 Remote physician
consultation
 Body sensor monitoring
 Remote diagnostics
Security
 Electronic surveillance
 Video surveillance
 Video-enhanced industrial
security
 Enterprise security sensor
monitoring
 Security alerts
Consumer Services
 Smart home appliances
 Connected home electronics
and devices
 Home security services
 Home alerts
 Remote home thermostat
control
 Video feed monitoring
How are Industries Using IIoT?
Increased
Production and
Quality
A paper
manufacturer used
sensors in its kilns to
automatically adjust
the flame shape
Result:
Increased
production by
5% and
improved
product quality
Better Service
Levels
Logistics managers
adjusted vehicle
routes using weather
and traffic condition
sensors
Result:
Lowered
congestion
costs, while
increasing
network
capacity
9
How are Industries Using IIoT?
Improved
Situational
Awareness
A maritime company
launched a
collaboration
platform providing
customers with
improved decision
making and support
Result:
Improved
troubleshooting
and safety
Streamlined
Maintenance
Networked sensors
embedded in the
bodies of airplanes,
monitor the wear and
tear of airplanes
Result:
Improved
proactive
maintenance
activities
10
IIoT is All About Big Data
IIoT Data is Big Data
Made up of billions of events and data
points, to support some of the fastest-
growing areas in global business
» Analytics
» BI
» Predictive Analytics
Forrester estimates the current
market for Big Data to be valued at
about $12 billion
11
The Technical Hurdles of Big Data
12
Moving a wide variety of data
from a wide variety of sources
High volumes of data and
high velocity of throughput
Moving Big Data through low-
bandwidth connections
Limited access to real-time
information updates
Diminished value of IIoT
The hurdles The impact of not
addressing the hurdles
Poor performance
Increased costs
Bottlenecks
Three Basic Steps
13
Collect data from
machines
Send data to a central
storage location
Analyze information and
achieve real-time insights
Data
Value
Data
Value
When the hurdles
aren’t addressed
When the hurdles
are addressed
Attunity to the Rescue
Attunity enables companies to:
Data
Value
Move data fast, easily
and securely over
WAN networks and
low-bandwidth
connections
Achieve real-time
analytics for better
decision making
Capture the
business potential
held in the IIoT
14
The BIG Details
By leveraging ELT (Extract, Load,
Transform), a best practice
recommended and supported by
Attunity, companies can move data
fast, easily and securely over WAN
networks and low-bandwidth
connections
Attunity solutions are optimized to
support high-performance transfer
of data over LAN or WAN with ease
and efficiency, enabling real-time
analytics
15
16
866-288-8648 info@Attunity.com www.attunity.com
Download the Whitepaper

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Revolutionize your business with the Industrial Internet of Things ( IIoT) - Attunity

  • 1. The Industrial Internet of Things Overcoming Adoption Challenges to Release the Value Within IIoT
  • 2. What is the Internet of Things (IoT)? Everyday objects with network connectivity can send and receive data Smart Environment Control Smart Television Smart Light Control Smart Motion Sensor Smart STB Smart Remote Control Smart Door Control 2
  • 3. What is the Industrial Internet of Things (IIoT)? Business-to-business devices and objects with network connectivity can send and receive data With IIoT, sensors collect and analyze data from machines, devices, facilities, fleets and more 3
  • 4. Market Size/Opportunity of IIoT 4 Predictions: 25 Billion devices connected to the Internet by 2015 50 Billion devices by 2020 $309 Billion in additional revenue for suppliers of connected devices by 2020 $1.9 Trillion in cost savings and improved productivity $10-$15 Trillion increase in global GDP over the next 20 years, thanks to gains in productivity CISCO GARTNER GE
  • 5. Why Does IIoT Matter? Revolutionizing the Way Business is Done 5
  • 6. IIoT Results Reductions Improvements Unplanned Downtime Maintenance Cost Increased Productivity! Manufacturing Processes Machine Efficiencies + 6
  • 7. 7 Key Industry Segments Where IIoT is Used Transportation  Telematics  Industrial fleet management  Proactive monitoring  In-vehicle entertainment  Vehicle navigation  Safety services  Concierge services  Remote engine diagnostics  Personalized insurance Manufacturing  Supply chain management  Asset, cargo and container management  Geofencing  Machine diagnostics  Machine telemetry  Inventory control  Industrial automation control  Real-time equipment monitoring Retail & Finance  Smart payments  Smart cards  Point-of-sale terminals  ATM & kiosk monitoring  Vending machine monitoring  Digital signage  Electronic billboards Oil & Gas  Monitoring and controlling drills, wells and pipelines  Telemetry  Remote automation  Sensor networks in the earth’s crust  Cellular- and satellite- based M2M devices
  • 8. 8 Key Industry Segments Where IIoT is Used Utilities  Meter reading  Proactive alerts  Alarms  Smart grid applications  Remote building temperature control Healthcare  Home healthcare monitoring  Hospital patient monitoring  Hospital equipment monitoring  Remote telemedicine  Remote physician consultation  Body sensor monitoring  Remote diagnostics Security  Electronic surveillance  Video surveillance  Video-enhanced industrial security  Enterprise security sensor monitoring  Security alerts Consumer Services  Smart home appliances  Connected home electronics and devices  Home security services  Home alerts  Remote home thermostat control  Video feed monitoring
  • 9. How are Industries Using IIoT? Increased Production and Quality A paper manufacturer used sensors in its kilns to automatically adjust the flame shape Result: Increased production by 5% and improved product quality Better Service Levels Logistics managers adjusted vehicle routes using weather and traffic condition sensors Result: Lowered congestion costs, while increasing network capacity 9
  • 10. How are Industries Using IIoT? Improved Situational Awareness A maritime company launched a collaboration platform providing customers with improved decision making and support Result: Improved troubleshooting and safety Streamlined Maintenance Networked sensors embedded in the bodies of airplanes, monitor the wear and tear of airplanes Result: Improved proactive maintenance activities 10
  • 11. IIoT is All About Big Data IIoT Data is Big Data Made up of billions of events and data points, to support some of the fastest- growing areas in global business » Analytics » BI » Predictive Analytics Forrester estimates the current market for Big Data to be valued at about $12 billion 11
  • 12. The Technical Hurdles of Big Data 12 Moving a wide variety of data from a wide variety of sources High volumes of data and high velocity of throughput Moving Big Data through low- bandwidth connections Limited access to real-time information updates Diminished value of IIoT The hurdles The impact of not addressing the hurdles Poor performance Increased costs Bottlenecks
  • 13. Three Basic Steps 13 Collect data from machines Send data to a central storage location Analyze information and achieve real-time insights Data Value Data Value When the hurdles aren’t addressed When the hurdles are addressed
  • 14. Attunity to the Rescue Attunity enables companies to: Data Value Move data fast, easily and securely over WAN networks and low-bandwidth connections Achieve real-time analytics for better decision making Capture the business potential held in the IIoT 14
  • 15. The BIG Details By leveraging ELT (Extract, Load, Transform), a best practice recommended and supported by Attunity, companies can move data fast, easily and securely over WAN networks and low-bandwidth connections Attunity solutions are optimized to support high-performance transfer of data over LAN or WAN with ease and efficiency, enabling real-time analytics 15

Hinweis der Redaktion

  1. Script- Gartner defines “Internet of Things” as a network of physical objects that contain embedded technology to communicate and sense, or interact with their internal states or to the external environment. Examples are appliances, such as “smart” televisions and refrigerators, that are connected to the Internet, water or electrical meters, and “smart” parking meters. The “Industrial Internet of Things” is a subset of the Internet of Things that focuses on devices and objects used in business-to-business settings.
  2. Sensors can be used to collect and analyze data from machines, facilities, devices and fleets, resulting in reduced amounts of unplanned downtime. Information collected from sensors can provide better control over manufacturing processes. Analytics derived from sensor data can lead to more productive oil and gas exploration. Through sensors and automated feedback, it is possible to modify energy and water consumption patterns, resulting in more efficient usage.
  3. The market associated with the “Industrial Internet of Things” promises tremendous growth. Cisco’s Internet Business Solutions Group predicts that by that by 2020, 50 Billion devices will be connected to the internet. Gartner forecasts $1.9 trillion in cost savings, improved productivity, and factors associated with connected devices and services. General Electric believes that the Industrial Internet has the potential to increase global GDP by $10 trillion to $15 trillion over the next 20 years. IIoT could dramatically reduce the cost of industrial maintenance. Expenses associated with maintaining equipment:- » Steam and gas turbines at power plants -- $7 billion » Aircraft engines -- $10 billion » Freight trains -- $3 billion » CT and MRI scanners in healthcare facilities -- $250 million
  4. The “Internet of Things,” is a top priority for industries today because it is revolutionizing the way business is done. Tens of billions of devices will be connected to the “Internet of Things,” driving demand for real-time data processing and analysis. It can help lower costs through predictive failures and proactive maintenance of machines. It can help improve safety of people and facilities, and avoid disasters. And it can help organizations derive useful insights and gain a greater competitive advantage over other companies. It enables you to connect facilities, machines, manufacturing floors, grids, transportation, engines, devices and other elements to the Internet Data points can be accessed, managed and controlled from anywhere Better data means better information to enable better/speedier decision making and troubleshooting.
  5. The “Industrial Internet of Things,” is a top priority for organizations today because it is and will continue to revolutionize the way business is done. Tens of billions of devices will be connected to the “Internet of Things,” driving demand for real-time data processing and analysis. It can help lower costs through predictive failures and proactive maintenance of machines. It can help improve safety of people and facilities, and avoid disasters. Helps organizations derive useful insights and gain a greater competitive advantage over other companies.
  6. Various industry sectors are leveraging Internet of Things to improve operations, service levels, and product quality. For example, a leading paper manufacturer embedded temperature sensors in its kilns that helped monitor and adjust the flame intensity and shape. This resulted in improvement of production quality as well as increase in production by 5 percent. In the freight industry, sensors that monitor weather and traffic conditions help logistics managers manage vehicular traffic, thereby lowering congestion costs and increasing network capacity. In the airline industry, networked sensors embedded in airplane bodies help monitor wear and tear of airplanes. The airlines can thus recommend proactive maintenance activities of airplanes.
  7. In another example, a global maritime company reduced the need for service personnel on board, improved troubleshooting and increased safety with the help of a collaboration platform. This platform provides customers with improved decision-making and support.
  8. The mechanics of deriving analytics from the Internet of Things can be simplified into three basic steps: collect data from machines send data to a central storage location analyze information and achieve real-time insights However, accomplishing these steps is not easy. This is at the heart of where IIoT challenges lie.
  9. However, technical hurdles arise often arise while moving big data: -The bandwidth available for moving large volumes of data through the internet may not be sufficient -To gather valuable business insights, organizations must have adequate tools for real-time data replication -Solutions that support data processing and bi-directional replication are required to leverage the information derived from complex industrial networks These hurdles feel overwhelming and can cause a huge bottleneck.
  10. Attunity can help organizations harness the power of the Industrial Internet of Things. Using Attunity data loading or replication within an ELT model, organizations can achieve real-time analytics for better decision making. Organizations can achieve greater efficiency, better productivity, and a 360-degree view of operations for significant competitive advantage.
  11. Attunity can help organizations harness the power of the Industrial Internet of Things. Using Attunity data loading or replication within an ELT model, organizations can achieve real-time analytics for better decision making. Organizations can achieve greater efficiency, better productivity, and a 360-degree view of operations for significant competitive advantage.