2. WHAT IS THE INTERNET OF THINGS?
The Internet of Things (IoT)
The internetworking of physical devices, also referred to as "connected devices"
and "smart devices", buildings and other items, embedded with electronics,
software, sensors, actuators, and network connectivity that enable these objects to
collect and exchange data.
In 2013 the Global Standards Initiative on Internet of Things (IoT-GSI) defined the
IoT as "the infrastructure of the information society."
3. The Internet of Things
Allows objects to be sensed and/or controlled remotely across an existing network
infrastructure, creating opportunities for more direct integration of the physical world into
computer-based systems, and resulting in improved efficiency, accuracy and economic
benefit.
When IoT is augmented with sensors and actuators, the technology becomes an instance
the more general class of cyber-physical systems, which also encompasses technologies
as smart grids, smart homes, intelligent transportation and smart cities.
Each thing is uniquely identifiable through its embedded computing system but is able to
interoperate within the existing Internet infrastructure.
4. HOW IT WORKS: THE INTERNET OF THINGS
https://youtu.be/QSIPNhOiMoE
5. B2B IT MARKETING
Why is IoT Important to IT B2B Marketing
Businesses will be the top adopter of IoT solutions.
They see three ways the IoT can improve their bottom line:
Lowering operating costs
Increasing productivity
Expanding to new markets or developing new product offerings.
7. OTHER MARKETS
Governments
Focused on increasing productivity, decreasing costs, and improving their citizens’ quality of
life. We forecast they will be the second-largest adopters of IoT ecosystems.
Consumers
Will lag behind businesses and governments in IoT adoption. Still, they will purchase a
massive number of devices and invest a significant amount of money in IoT ecosystems.
8. THE INTERNET OF THINGS WILL CONSIST OF
ALMOST 50 BILLION OBJECTS BY 2020
9. PREDICTIONS
There are three core sectors of the IoT: enterprise, home, and government, with the Enterprise Internet of
Things (EIoT) being the largest of the three. By 2019, the EIoT sector is estimated to account for nearly 40% or
9.1 billion devices.
Gartner: By 2020 there will be 20.8 billion devices on the internet of things.
ABI Research: By 2020 there will be 30 billion devices will be wirelessly connected to the internet of things.
Pew Research Internet Project: 83% of tech experts and engaged internet users , a large majority of the
technology experts and engaged Internet users who responded—83 percent—agreed with the notion that the
Internet/Cloud of Things, embedded and wearable computing (and the corresponding dynamic systems) will
have widespread and beneficial effects by 2025
The growth by implementing IIoT (Industrial Internet of Things) will generate $12 trillion of global GDP by
2030.
The gross domestic product (GDP) is one of the primary indicators used to gauge the health of a country's economy. It
represents the total dollar value of all goods and services produced over a specific time period;
The Internet of objects would encode 50 to 100 trillion objects, and be able to follow the movement of those
objects. Human beings in surveyed urban environments will be surrounded by 1000 to 5000 trackable objects
According to the CEO of Cisco, the commercial opportunity for "connected products ranging from cars to
household goods" is expected to be a $USD 19 trillion
10. TWO KEY COMPONENTS TO DISCUSS
Hardware:
The electronics (sensors) that connect to the network (internet) that collect and send back data, that is used for
various actions and intelligence.
Examples: Zed boards-circuit boards that send the information, sensors that collect: measurements and monitor
temp, flow, movement, level/position-gps, optical, and more!
Storage for the Data and Software- Cloud
Software:
The commands that instruct the electronics on the parameters of the data sent and collected, the analytics that can
manipulate data to make informative actions.
Examples: Applications that control and collect and analyze structured and unstructured data- Data Warehousing,
cognitive and predictive analytics, end point security, and asset management
11. COMMUNICATION
TECHNOLOGY
Communication / Protocol Enabling Technologies
Main types of technologies that enable IOT
Mesh (e.g. ZigBee, Z-Wave, etc.)
Cellular (e.g. 3G/4G, Sigfox, etc.)
Internet networks (e.g. Wi-Fi, Ethernet, etc.)
RFID and near-field communication - In the 2000s, RFID was the dominant technology. Later, NFC became dominant (NFC). The latest
iPhone 6 supports NFC for Apple Pay.
Optical tags and quick response codes - This is used for low cost tagging. Phone cameras decodes QR code using image-processing
techniques. In reality QR advertisement campaigns gives less turnout as users need to have another application to read QR codes.
Bluetooth low energy - This is one of the latest tech. All newly releasing smartphones have BLE hardware in them. Tags based on BLE can
signal their presence at a power budget that enables them to operate for up to one year on a lithium coin cell battery.
12. SIX PARTS INTERNET OF THINGS
Six Parts of IoT
Connectivity
Security
Data storage
System integration
Device hardware
Application development
13. APPLICATION EXAMPLE: MEDIA
Media
Big data is collected: structured and unstructured, now can be analyzed to provide
personalized engagement and more.
Use of IoT applications can push engagement through multiple devices in real time.
The wealth of data generated by this industry (i.e. big data) will allow practitioners in
advertising and media to gain an elaborate layer on the present targeting used by the
industry.
14. APPLICATION EXAMPLE: ENVIRONMENTAL
Environmental Monitoring
Use sensors to assist in environmental protection by monitoring air or water quality,
atmospheric or soil conditions, and can even include areas like monitoring the
movements of wildlife and their habitats.
Development of resource constrained devices connected to the Internet also means
that other applications like earthquake or tsunami early-warning systems can also be
used by emergency services to provide more effective aid.
IoT devices in this application typically span a large geographic area and can also be
mobile.
Standardization IoT brings to wireless sensing will revolutionize this area.
15. APPLICATION EXAMPLE: INFRASTRUCTURE
Infrastructure Management
Monitoring and controlling operations of urban and rural infrastructures like bridges, railway tracks, on-
and offshore- wind-farms is a key application of the IoT.
The IoT infrastructure can be used for monitoring any events or changes in structural conditions that can
compromise safety and increase risk.
It can also be used for scheduling repair and maintenance activities in an efficient manner, by
coordinating tasks between different service providers and users of these facilities.
IoT devices can also be used to control critical infrastructure like bridges to provide access to ships.
Usage of IoT devices for monitoring and operating infrastructure will improve incident management and
emergency response coordination, and quality of service, up-times and reduce costs of operation in all
infrastructure related areas.
16. Metro Scale Deployments
There are several planned or ongoing large-scale deployments of the IoT, to enable
better management of cities and systems.
The New York City Waterway’s connects all their vessels and are able to monitor
live 24/7. With the wireless network in place, NY Waterway is able to take control
its fleet and passengers in a way that was not previously possible. New applications
can include security, energy, and fleet management, digital signage, public Wi-Fi,
paperless ticketing, and others.
Santander, Spain-two approaches have been adopted. This city of 180,000
inhabitants, has already seen 18,000 city application downloads for their
smartphones. This application is connected to 10,000 sensors that enable parking
search, environmental monitoring, digital city agenda among others. City context
information is used in this deployment so as to benefit merchants through a spark
deals mechanism based on city behavior that aims at maximizing the impact of
notification
17. APPLICATION EXAMPLE: MANUFACTURING
Manufacturing
Network control and management of manufacturing equipment, asset and situation
management, or manufacturing process control. enabling rapid manufacturing of new
products, dynamic response to product demands, and real-time optimization of
manufacturing production and supply chain networks, by networking machinery, sensors
and control systems together.
Predictive maintenance is probably going to be the most popular IoT as it is applicable to
existing assets and management systems.
M2M IoT is Machine to Machine communication
The objective of intelligent maintenance systems is to reduce unexpected downtime and
increase productivity.
18. APPLICATION EXAMPLE: ENERGY
Energy Management
Integration of sensing and actuation systems, connected to the Internet, IoT devices will
be integrated into all forms of energy consuming devices, such as switches, power
outlets, bulbs, televisions, etc. and be able to communicate with the utility supply
company in order to effectively balance power generation and energy usage.
Such devices would also offer the opportunity for users to remotely control their
devices, or centrally manage them via a cloud based interface, and enable advanced
functions like scheduling (e.g., remotely powering on or off heating systems, controlling
ovens, changing lighting conditions etc.).
In fact, a few systems that allow remote control of electric outlets are already available in
the market, e.g., Belkin's WeMo, Ambery Remote Power Switch, Budderfly, Telkonet's
EcoGuard, WhizNets Inc., etc.
19. APPLICATION EXAMPLE: MEDICAL
Medical and Healthcare
Devices can be used to enable remote health monitoring and emergency notification
systems.
These health monitoring devices can range from blood pressure and heart rate monitors to
advanced devices capable of monitoring specialized implants, such as pacemakers, Fitbit
electronic wristbands or advanced hearing aids.
Specialized sensors can also be equipped within living spaces to monitor the health and
general well-being of senior citizens, while also ensuring that proper treatment is being
administered and assisting people regain lost mobility via therapy as well.
Other consumer devices to encourage healthy living, such as, connected scales or wearable
heart monitors, are also a possibility with the IoT.
Devices that help manage health vitals and recurring medication requirements- that can
remotely be monitored by medical professionals and digital adjustments made.
20. APPLICATION EXAMPLE: SUB SEA
Subsea
The underwater extension of The Internet of Things, is a network of smart wireless
sensors that, when embedded into underwater objects, allows them to
intercommunicate via the cloud.
Applications extend into aquatic sports, environmental monitoring and commercial
activities
21. APPLICATION EXAMPLE: BUILDING
Building and Home Automation
Devices can be used to monitor and control the mechanical, electrical and electronic
systems used in various types of buildings (e.g., public and private, industrial, institutions,
or residential)
in home automation and building automation systems- temp control, security, appliance
asset management, and more!
22. APPLICATION EXAMPLE: TRANSPORTATION
Transportation
Integration of communications, control, and information processing across various
transportation systems.
Application of the IoT extends to all aspects of transportation systems (i.e. the vehicle,
the infrastructure, and the driver or user).
Dynamic interaction between these components of a transport system enables inter
and intra vehicular communication, smart traffic control, smart parking, electronic toll
collection systems, logistic and fleet management, vehicle control, and safety and road
assistance.
23. APPLICATION EXAMPLE CONSUMER
Consumer Application
Connected car, entertainment, residences and smart homes, wearable technology,
quantified self, connected health, and smart retail.
Consumer IoT provides new opportunities for user experience and interfaces.
24. TOP IOT PLATFORMS
Current Top IoT Platforms
Amazon Web Services
Microsoft Azure
ThingWorx IoT Platform
IBM's Watson and BlueMix
Cisco IoT Cloud Connect
Salesforce IoT Cloud
Oracle Integrated Cloud
GE Predix
25. COMPANIES THAT HAVE IOT TECHNOLOGIES
GE (GE) AT&T (T) Cisco (CSCO) IBM (IBM)
Amazon (AMZN) Skyworks (SWKS) Apple (AAPL) Sierra Wireless (SWIR)
Google (GOOGL) Iridium Communications (IRDM) Ambarella (AMBA) ARM Holdings (ARMH)
Texas Instruments (TXN) PTC (PTC) Fitbit (FIT) ORBCOMM (ORBC)
Garmin (GRMN) Blackrock (BLK) InvenSense (INVN) Microsoft (MSFT)
Control4 (CTRL) Silicon Laboratories (SLAB) CalAmp (CAMP) LogMeIn (LOGM)
InterDigital (IDCC) Ruckus Wireless (RKUS) Linear Technology (LLTC) Red Hat (RHT)
Nimble Storage (NMBL) Silver Spring Networks (SSNI) Zebra Technologies (ZBRA) Arrow Electronics (ARW)
26. GLOSSARY
IoT Glossary: Terms and Basic Definition
Internet of Things: A network of internet-connected objects able to collect and exchange data using embedded sensors.
Internet of Things device: Any stand-alone internet-connected device that can be monitored and/or controlled from a remote location.
Internet of Things ecosystem All the components that enable businesses, governments, and consumers to connect to their IoT devices,
including remotes, dashboards, networks, gateways, analytics, data storage, and security.
Entity: Includes businesses, governments, and consumers.
Physical layer: The hardware that makes an IoT device, including sensors and networking gear.
Network layer: Responsible for transmitting the data collected by the physical layer to different devices.
Application layer: This includes the protocols and interfaces that devices use to identify and communicate with each other.
Remotes: Enable entities that utilize IoT devices to connect with and control them using a dashboard, such as a mobile application. They
include smartphones, tablets, PCs, smartwatches, connected TVs, and nontraditional remotes.
Dashboard: Displays information about the IoT ecosystem to users and enables them to control their IoT ecosystem. It is generally housed
on a remote.
Analytics: Software systems that analyze the data generated by IoT devices. The analysis can be used for a variety of scenarios, such as
predictive maintenance.
Data storage: Where data from IoT devices is stored.
Networks: The internet communication layer that enables the entity to communicate with their device, and sometimes enables devices to
communicate with each other