Apr 06, 2018 4

Augmented Reality for Big Data Visualization

Data is the new oil. Humans have generated more data in the last couple of years than in the entire history of humanity. Data can hold insights and can predict future behaviour patterns to those who are trained in the art and science of extracting meaning from data. This potential of hidden meaning in raw data is invaluable for governments, businesses and financial institutions to name a few.

After data is analysed, it needs to be presented in a format easily assimilated by the stakeholders to enable them in decision-making. That is the whole point of data analysis – to aid in decision making. Traditionally this information has been presented on 2D surfaces (even if they are in 3D) thereby making them separate from the context of the data they represent.

Augmented reality stands to change that. It can revolutionize how data is presented in real-time thereby allowing perspectives unattainable with traditional data visualization tools.

Imagine driving your car and have the ability to see optimal routes without taking your eyes off the road. Or walking into a supermarket and having all foods with transfat marked in real time for easy identification. For healthcare professionals, it means harnessing decades of data and have them superimpose on their views for faster decision-making to save more lives. Medical accidents and mistakes are one of the leading causes of deaths. Augmented reality can detect patient tag or face and map it to the medicine being administered and flag it in real time if there is a discrepancy.

For manufacturing industries, floor engineers can see the health status of each operating equipment in real-time and detect breakages before they happen. In all these examples, the common theme is to be able to see contextual information, backed by deep machine learning superimposed on the viewers reality thereby providing immense amount of information for faster and more accurate decision making.