Why Automation is the Next Frontier of Enterprise AI

A short history of enterprise usage of Data

When you look into the past, you realize that the vocabulary used to describe the intelligent usage of data has evolved a lot.

Google trend of ‘Big Data’ searches

The name Big Data was about just collecting raw data, but not yet about processing it — and even less about knowing exactly for what purpose to use it

The raise of Machine Learning

So what term came after Big Data, and made it old fashioned? Machine Learning. This expression exploded in 2016, and quickly exceeded Big Data in 2017.

Machine Learning (red) VS Big Data (blue)
Machine Learning (blue) and Data Science (red), the two companion expressions

The word Machine Learning is interesting, because for the first time, we were talking about the intelligent processing itself, of collected data.

AI and the use of data in end-to-end systems

Then came the rebirth of Artificial Intelligence. This expression has been very popular 20 years ago (and even more in the 90’s), then has been forgotten between 2008 and 2016, and finally became fashionable again.

Google trend of ‘Artificial Intelligence’ searches
Data Science (yellow) VS Artificial Intelligence (blue) VS Deep Learning (red)

Since a few months, we start to observe an AI and deep learning fatigue

Using AI to automate enterprise processes

So what’s next after AI? We believe that automation is a good candidate to describe the next stage in enterprise usage of AI.

When an AI system fully automates an enterprise process at scale, it must embed extra design attributes that make it actually more mature than others.

Robustness

See you in 3 years 🔭

Let’s have a final look at the trend of the word automation. After 10 years of decrease, it seems to increase again. What will happen next? Let’s meet in 3 years to see what automation has become, and what is the next big trend!

Google trend of ‘Automation’ searches

Our thoughts about Data, Machine Learning and Artificial Intelligence