Examples of Machine Learning in Everyday Life

Machine Learning has already become one of the leading innovations in technology today. Its impending excitement and hype are causing shockwaves within an impending transformation of the world. Its possibilities are endless, and whilst you can be forgiven without understanding what it is, now is the time to get up to speed.

Machine Learning day-to-day is changing industrial and professional practice and is also expected to change the way in which humans operate. ML can be thought of as an intelligent system built through machine learning algorithms used to learn from historical data to mirror human action or element.

You’re probably using some form of everyday AI in your life right now and you’re unaware of it. Below details 10 real-life examples of AI everyday that provide a glimpse of a digital future.

1. Self-Driving (Autonomous) Vehicles

It won’t be long before self-driving vehicles will occupy our roads. Autonomous Vehicles are perilously close to being introduced on the streets and intends to transform our daily lives from 2021. Something that was a mere fantasy a decade ago, suppliers and manufacturers are now developing vehicles with a vision to drive automatically with minimal, if not any, human input or intervention.

2. Image Recognition

Machine Learning use cases use algorithms to classify objects as digital images and even used for digital face recognition. Image recognition algorithms are used to extract key features from images using them within a machine learning model to identify or ‘recognise’ the digital image.

3. Remote Personal Assistants (RPA)

Also known as an intelligent virtual assistant which is a digital agent that will perform tasks and services based on received commands through the interpretation of human speech. RPA’s are typically being rolled out within industries today as a means to perform simply administration activities.

4. Intelligence Gaming

You may or may not remember the first computer program known as AlphaGo, defeated a professional human player. AlphaGo was significant because it could tackle the best human players in the world, and its algorithms are used to test all of the various possible moves and positions with search trees to predict the best chances of winning.

5. Commuting Predictions

We have all used GPS navigation systems when we travel. This is another form of AI everyday, learning traffic data to predict traffic, congestions, speed cameras and other things on route to a destination. We rely on GPS to lead us to a specific location.