A simple guide to AI, Machine Learning and Deep Learning… or as simple as I can make it.

Before we become enslaved by our sentient robotic overlords, I thought I’d explain what Artificial Intelligence (AI), Machine Learning and Deep Learning are and how they impact on marketing and consumers.

Let start at the beginning; back in the 50’s we dreamt about robots making our tea (AI) and what we could do with our spare time, fuelled by the space race and science fiction it was a heady dream. Until that is the 80’s, where we started to ‘teach’ machines simple tasks (Machine Learning), the more times a machine completed a task the more it learnt and improved. We’ve now reached Deep Learning, where through the improvement of data storage, processing power and network speed algorithms can be used so that software can train itself through multiple iterations and vast amounts of data.

A simple summary of the three levels:

A simple guide to AI, Machine Learning and Deep Learning

What is the impact?

True AI is still a dream, yes, we have robots that can run, win jeopardy but the amount of computing power required for the decision trees and the possibility of human brain is still a distance away.

 

In the example above a machine matches using its learning tags to create a best guess based on the data it has, if this is correct, the bridge with sunset may become another tag.

Deep Learning, is a subset of Machine Learning with hidden layers (Neural networks) the software can train itself to understand its outputs but it also uses huge amounts of data.

 

What is the impact on marketing of AI, Machine and Deep Learning?

  • Tasks are delivered faster and with more accuracy: A/B testing, journey mapping behavioural analysis
  • Content: understanding the best content for the desired outcome
  • Virtual assistants: Voice and video based assistants
  • SEO: self-optimisation based on the search algorithms and customer behaviour
  • Campaigns: Optimisation and prediction also tie in the smart content and it’s a game changer

 

 

This article originally appeared in graymatter.co.uk  To read the full article, click here.