Internet of things (IoT)


Discuss the uses of the internet of things..


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Internet of things (IoT)

Wearables to Augmented Humans

Big Data and Augmented Analytics

Intelligent Spaces and Smart Places

Internet of Things (IoT)

The interconnection via the Internet of computing devices embedded in everyday objects, enabling them to send and receive data.

Definitions from Oxford Languages Dictionary Online

How it is used in practice?

Intelligent consumer goods

Healthcare tracking devices

Business applications

Smart devices in products

Soil monitoring devices in farming

Smart thermostats

Improve and optimize operations (automate processes, drive efficiencies, improve reliability, and reduce costs)

Industrial Internet of Things (IIoT)

Robot monitoring

Monitor reliability and performance of machines

Gather data on train and rail infrastructure to carry out preventive maintenance and increase energy efficiency

Predictive maintenance for mobile and offsite devices

Smart dust or Microelectromechanical Systems (MEMs)

Future uses






Key Challenges in IoT



Keep devices up-to-date

Auditing devices on a regular basis

Segmenting networks

Looking out for botnets

Analyze network traffic

Track where data is going


Preparing for IoT

Does IoT contribute to overall business strategy?

Could products be made more intelligent?

Data storage

How to analyze the data collected

Is the data accessible to those who need it?

Create a clear IoT strategy

Wearables to Augmented Humans

Devices and technology that helps improve physical and mental performance

Fitness watches

Medical watches

“Smart” clothing – running shoes, robotic prosthetics, industrial wearables

Smart glasses

Augmented humans

Brain-computer interface


Wearables to Augmented Humans (cont.)

Used in Practice

Smart watches – connected to healthcare providers

Smart clothes – sleepwear to help with recovery, t-shirts with biometric sensors, smart socks for running, yoga pants helping with exercise, smart bra tracking heartbeat and workouts, smart wear that tracks usage to offer rewards, denim jackets connected to wearer’s smart phone, and smart socks to track a baby’s heart beat

Improve human strength and balance – exoskeleton (full body, upper body), rehabilitation exoskeleton, smart exoskeletons to help with lifting, robotic tail that straps around the waste to improve balance

Improving people’s sight – bionic lenses, smart contacts (photos and videos)

Wearables to Augmented Humans (cont.)

Used in Practice (cont.)

Restoring movement – prosthetics, artificial skin

Implanting lab-grown organs – stem cells to from heart tissue, 3D print organs

Augmenting human brain – brain-computer interface, merging AI with human brain

Key Challenges

Privacy implications – mind-reading technology

Separating the haves and have nots – affordable technology

Preparing for this trend

People want wearables for lifestyle improvement

Using wearables to track customers for business purposes


Big Data and Augmented Analytics

Exponential explosion of data

The more data the more insights and better decisions

90% 0f the data in the world was generated in the last 2 years

Data volume doubles every 2 years

Includes not only numbers, but photos, videos, activity data, text data

Augmented Analytics

Use AI and machine learning

Analytical models



Big Data and Augmented Analytics (cont.)

Used in practice

Business decisions

Hiring the right people

Targeting the right customers

How to boost revenue

Understanding customers and trends

Accurately anticipating customer demand

Predicting product sales

Delivering more intelligent products and services

Know customers better

Leads to smart products


Big Data and Augmented Analytics (cont.)

Improving internal operations

Processes can be enhanced and streamlines

Optimizing pricing

More accurate forecasting

Reduce employee turnover

Boost productivity

Strengthening the supply chain

Creating additional revenue

Optimize business processes

Monetize data

Big Data and Augmented Analytics (cont.)

Key challenges



Skills challenges

Protecting data

Educate employees to protect data

Ethics in collecting data

Transparency in collecting data

Risk in using data without permission


Big Data and Augmented Analytics (cont.)

How to prepare for this trend

Improve data literacy

Everyone put data to muse

Ensure access to data

Create a data strategy

Focus on data that matters to the business

Meets business needs

Data to achieve business goals

Data governance – quality, security, privacy, accuracy, complete, and up-to-date

Technology requirements

Skills and capacity

Intelligent Spaces and Smart Places

Physical spaces kitted out with technology to create an intelligent, connected environment

Workplaces are becoming smarter

Collaborative digital environment

Used in practice

Smart homes

Smart offices and buildings

IoT sensors

Climate control

Smart desks – monitoring users

Smart chairs – monitor movement and posture

Smart locks and facial recognition

Wearable technology to track liofstyle


Intelligent Spaces and Smart Places (cont.)

Used in practice (cont.)

Smart cities

Traffic monitoring

Smart streetlamps

Energy monitoring

Smart refuse containers

Key challenges

Wi-fi connectivity issues

Incompatibility between devices

Data security concerns

Privacy concerns

Intelligent Spaces and Smart Places (cont.)

Preparing for the trend

Look at what other companies are doing

Consider the overarching business strategy

Take it one step at a time

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