Eye tracking is a popular research method for identifying which images or words capture people’s attention. It is widely used by market researchers, designers and psychologists to gain insights into complex cognitive processes, such as why people look at a specific point first, or the order in which they view a series of images. However, eye tracking alone can’t tell us the underlying reasons for people’s viewing behavior.

The feature-rich, resilient applications of tomorrow will be realized through the automation, prediction and self-learning capabilities of Artificial Intelligence.

It’s difficult to ignore the impact that Artificial Intelligence (AI) is having on today’s business processes. From autonomous Uber cars to robots in Amazon’s distribution centers, AI has shown tremendous potential in terms of powering data analytics and automating tasks.