Solving Data Bias With Junction of Data and Intellectual Diversity

Big Data, an accelerating trend, is penetrating in various industries. To automate the systems and eliminate the need for human power, the need is for diverse data that comprehensively covers all possible aspects of human behavior and actions. The world is getting digitized faster than the normal pace. There are several challenges in the way. For instance, the digital world demands robust processing and security. These attributes vary from niche to niche. The challenge is to maintain a balance between both of them and smoothly perform digital processing. 

To automate the online systems, advanced technologies and algorithms are applied. For example, the automated chatbots integrated with the online systems tend to communicate with the customers without any assistance from the human query handler. In these chatbots, abundant data is used to train them against online queries. The data includes frequently asked questions and some queries other than normal ones. A diverse dictionary is embedded in the models to train as well as test them.