Core Concepts
Devices like smart thermostats and fitness trackers that collect and transmit data are known as these
IoT Devices
Using ML with IoT allows systems to act without human intervention, known as this
Automation
ML + IoT used in on body devices to monitor heart rate and detect anomalies
Wearables
Risk of personal information misuse from IoT data collection
Privacy and Security
The most common cause of computer problems, also known as “ID ten T” error.
ID10T
A type of AI that improves performance using data without being explicitly programmed
Machine Learning
ML helps IoT systems forecast future outcomes (e.g., equipment failure), called this
Predictive Analytics
Smart traffic systems that adapt to congestion using data and ML
Smart Cities
Protecting IoT devices and ML systems from hacking is this concern
Cybersecurity
This battery percentage causes immediate panic, even though you could probably survive another hour.
10%
The process where IoT devices send data to a central system for analysis
Cloud Processing
Smart homes adjusting appliance use based on habits is an example of this benefit
Energy Optimisation
Sensors on machines that predict breakdowns before they occur
ML models can make unfair decisions due to biased training data
Bias or Algorithmic Bias
This is what you blame when you lose a game, instead of your skill level.
Lag / Latency / Packet Loss
The type of data commonly collected by IoT devices (e.g., temperature, motion, heart rate)
Sensor or Environmental Data
ML + IoT can improve this in industries by detecting faults early and reducing downtime
Reliability / Diagnostic
Farms using sensors and ML to optimise watering and crop growth
Agricultural Technology and Application
Managing and storing large volumes of IoT data is this challenge
Cloud storage / Big Data / Data Management
Most common excuse when a student didnt do the assignment and is looking for a way out
Computer Crashed / I lost my document / It got corrupted
The key difference: IoT collects data, while this technology extracts patterns and insights
Machine Learning / Artificial Intelligence
The ability to analyze massive streams of IoT data quickly is known as this capability
Big Data / Real Time Analysis
Security systems that recognise faces or detect unusual behaviour
Biometrics
Dependence on reliable internet connectivity for IoT systems
Network Reliability
Mr Young's middle name
Johnathon