If we say that AI is about enabling a machine to think (and act) like a human, then a question that needs to be answered is how do we determine that machine has actually started thinking like a human. The answer to this question was first answered with the introduction of the concept Turing Test.

I am sure when you complete the series, you will start looking at every problem through the lens of Machine Learning. This is what many companies or tech teams are doing. They are applying Machine learning for the sake of it. Some wise person rightly said, “When you have a hammer in your hand everything around you will appear as a nail”.

A broad field of computer science that is focused on creating thinking systems that can perform tasks that typically require human intelligence. The range of such tasks could be reasoning, problem-solving, perception, learning, language understanding, and decision-making.

Artificial Intelligence is typically seen on a spectrum of intelligence starting from Narrow intelligence (ANI), where the Machine can perform one task extremely well such as language translation, image recognition, or playing chess but it fails to generalize to other tasks. This is where we are today - ANI or Artificial Narrow Intelligence.

Discover the ever so tricky science behind the biggest unsolved challenge of Marketing

‘By doing X (experiment detail) will help users achieve Y (What value does user get out of it — informed by your user problem) and thus will have a% impact on metric b in Z days’.