Big Data as a key component for Artificial Intelligence in Analytical Chemistry

Data and AI are merging into a synergistic relationship, where AI is useless without data, and data is meaningless without an AI process. Moreover, the AI algorithm is as good as its data, therefore, a quality, comprehensive and accurate data has a huge influence.

Data was hard to find in previous years, whereas today, one is drowning in a huge amount of data. The problem now is to connect between all the pieces of data and convert it into insights. For this purpose, among others, AI is used more and more these days.

Scientific publications rate has grown by 8% each year. As of 2015 the rate of AI-related publications has also grown. Studies show that analytical chemistry and biochemistry are integrating AI to the greatest extended with the highest growth rates. In analytical chemistry, new methods were developed using AI to complement analytical data and to improve planning and predictions.

In this presentation the idea of predictions by AI will be presented together with the current landscape in the field of AI in chemistry and future opportunities. The importance of the quality and the amount of data feeding the AI algorithm will also be discussed.