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Internet of Things (IoT Trends image (AI and Analytics in IoT, Industrial…
Internet of Things
IoT Trends
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AI and Analytics in IoT
Industrial Technology and Operational Technology
Blockchain and IoT
Consumer IoT market
IoT as-a-service models
Wearables in other sectors (e.g. healthcare, industrial)
Security and regulatory compliance
IoT use cases with immediate benefits
LPWA technologies
Industry 4.0, Internet of Robot Things, fog computing, 5G
Common elements in . IoT
Connectivity
All def. include network. It goes from connected devices to connected data.
Things
Devices, physical objects, sensors, endpoints...
IoT device management
Enables the onboarding, configuration and overall management of IoT devices
Cloud platforms with device management
Data Information
The why of IoT
Communication Data Flows
Intelligence Smart/Analytics
Analysis of the data and the smart usage to solve a challenge
Action Decision / Automation
Ecosystem Community/context/IoE
Meaning and hyper-connectedness. Understanding the purpose and intelligent action
Predictions
Tend to focus on number of connected devices
+46bn Devices, sensors and actuators
200% increase from 2016
Juniper Research
number of IoT devices 46 billion in 2021
Reasons they differ
uncertainties and challenges : security and privacy
various definitions and approaches
Ericsson Mobility Report 2016
28 billion connected devices by 2021.
Rise of internet of Things
convergence of IT and Operational Technology
IoT Projects and Examples
Environmental grassroots
case
IIoT and Industry 4.0
case
Smart City
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Smart facility management
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Industrial Internet of Things
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Definition
The interconnection of endpoints which can be identified with an IP address and connected to Internet to sense, gather, receive and send data to each other and other applications
The term IoT is inaccurate
The things don't describe the essence
Evolving reality
Evolution
Building IoT: 20-30 billion devices in 2020 sensing and connectivity standards and data
IoT 2.0: People, process, purpose. Actionable intelligence
Connected World: IoT as Electricity. Ecosystems of knowledge and value innovation and optimization at scale
DX Economy: Digital Transformation in the center of connected business ecosystems and strategies
Anuual growth rate of 24% until 2021
IoT across Industries
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Sectors
Retail business
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Inventories
Supply Chain management
Virtual closets
Self-checkouts
smart shelves
connected vending machines
Healthcare
Remote Healthcare Monitoring
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Medical/Hospital Asset tracking
Monitoring and Maintenance
Biosensors, Wearables, Monitors
Smart pills, Delivery robots
Manufacturing
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Global manufacturers will invest $70B on IoT solutions in 2020
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Data analytics
Supply Chain
Industrial Internet of Things (IIoT) and Industry 4.0
Utilities and Energy
Energy efficiency
Natural resources use efficiency
Smart grids
Billing
Buildings and Facilities
Facility Management
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Smart Buildings
Security systems
Heating, ventilation, a/c
Predictive maintnance
Light and room control
Energy and resource efficiency
Equipment control, configuration and regulation
Data Centers
Building Management Systems (BMS)
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Automotive
Connected cars
Other sectors
Transportation
Logistics
Agriculture
Government and Cities
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Security and Safety
Smart cities
Public services
Transportation
Public safety
Sustainability
Integrated smart functions
Infraestructure
Infraestructure
Healthcare
Main industries (spending, 2016)
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Manufacturing
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Transportation
Utilites
Fastest growing industries (until 2020)
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Insurance
Healthcare
Retail
Consumer
Cross-industries
Security in IOT
Vulnerabilities
Data controllers
Data Processors
Each gap between architectural layers are a security risk
Value of data
Cyber Crime on the rise
Cybersecurity is one of the key reasons slowing down Industrial Internet of Things (IIoT) adoption.
Security in IOT solutions must be a priority
Digital and physical security
Challenges
Regulation
Security
Data
IIoT (Industrial Internet of Things)
Integrates IT (Information Technology) and OT (Operational Technology)
Key elements
People at work
Advanced analytics
Intelligent Machines
Benefits
Operational Efficiency Improvement
Productivity Improvement
Creation of new business opportunities
Downtime reduction
Platforms
Application Enablement Platforms, combine several functions in one
IoT platforms are better, fasater, cheaper developments and deployments
Growing interest in opensource platforms
Regulations
GDPR
The General Data Protection Regulation (EU) is a regulation in EU law on data protection and privacy for all individual citizens of the European Union (EU) and the European Economic Area (EEA)
ePrivacy Regulation
More regulation = more IOT Adoption
Other Tech in IOT
Blockchain
Build trust
Reduce costs
Accelerate transactions
IA
As we move to autonomous decisions at the edge
The increase of IoT data and multiplication of data sources
Business context
reduce costs, gain valuable insights, develop new revenue streams and increase customer satisfaction
IoT Technology: cloud, fog and edge computing
The terms fog computing and edge computing today are used interchangeably although there are differences between both.
Fog Computing
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System-level architecture (and form of edge computing) that extends the computing, network and storage capability of the cloud to the edge of the network.
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Edge Computing
The aim is to bring the intelligence, analytics, computing, communications etc. very close and increasingly into devices such as programmable logic controllers and other, ever more powerful and smaller, devices at the edge and, after analysis etc., to the appropriate system or the cloud (or a data center).
Fog computing works with the cloud, whereas edge is defined by the exclusion of cloud and fog. Fog is hierarchical, where edge tends to be limited to a small number of peripheral layers. Moreover, in addition to computation, fog also addresses networking, storage, control and data-processing acceleration
The global edge computing market is expected to reach USD 6.72 billion by 2022 at a CAGR of 35.4%
Areas of application
Top Industrial IoT
Manufacturing 178 billion
Utilities/Energy 69 billion
Transportastion 78 billion
Consumer Internet of Things
Internet of Everything
Everything connected in a large distributed network
Bridging digital, physical and human spheres through networks, connected processes and data, turned into knowledge and action, is an essential aspect in this equation.
nexus of forces
exponential growth
growth in other areas
Device technologies
Transducers: Converts a specific form of energy into another signal form of energy.
Actuators
Receive a signal -> operation in physical world
Enable semi-autonomous or autonomous decisiones take place
Actuators also report data back so can be used for insights, analysis or alerts.
Sensors
Convert signals into a digial signal that gets sent to a gateway
Are the start of all IoT data, must be accurate
Some IoT use case have a few (per device) , others are often thousands
Sensors image
Resulting data of sensing and convertig gor from gateway or sensor hub to cloud or datacenter (Edge: gateway data procsessing and preparation happen cose to devices)
Gateways
Function as intelligent bridges between things through cloud, platforms, data centers
Plays an important role in Encryption, decryption, pre-processing and analysis of data
CIoT (Costumer Internet of Things)
Challenges
Smarter devices
Security
Data and privacy
A "compelling reason to buy"
CIoT consumer interest in 2016
Smart TV/ Streaming devices
Connected car
Wearable health tracker
Home control devices
Virtual Reality
IPV6
Guarantee that all things will have their IP adresses
Key step for IoT evolution
Related technologies
artificial intelligence, cloud computing, next-gen cybersecurity, advanced analytics, big data, various connectivity/communication technologies, digital twin simulation, augmented and virtual reality, blockchain
Origins
RFID
Real-life implementations 90s
logistics
warehouses
supply chain
It was expensive
later implentations
Decreasing cost of RFID tags
Public transport, identification, electronic toll collection, traffic monitoring, forms of outdoor advertising
Id by radiofrequency
Explosion of connected possibility
IoE (Internet of Everything)
Elements
People
Processes
Things
Data
IoRT (Internet of Robotic Things)
Components
Intelligent device (Robot)
Device can leverage local and distributed intelligence
Fusions of various sensors data with intelligence to determine actions to take actions
Connectivity
Protocols and technologies
Proximity or body area networks
Near field communications and RFID o-100 meters, 90% market
Wireless NAN
Wi-SUN and JupiterMesh
Wireless LAN
Various flavors of Wifi
Wireless WAN
Non-cellular LPWA(sigfox,LoRa) to cellular 2G TO 4G +
Wirless PAN
Bluetooth, Zigbee to Z-Wave, Enocean and WirelessHART
Zigbee: 802.15.4 standrad LoRa, SEND THE ENVIRONMENTAL DATA to a hub
5g
different architecture and far higher data transfer speeds while offering the kind of bandwidth that is needed for live virtual reality streams and autonomous vehicles.
Reliability, latency edgeless computing
Term coined in 1999 by Kevin Ashton, co-founder of the MIT's Auto-ID Center. Before a marketer at P&G.
