discussion
Module 2
Session 3
Technologies
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
Agriculture
Manufacturing
Security
Key Challenges in IoT
Privacy
Security
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
Technology
Infrastructure
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
