Business Data Analytics is a field of applying different computational methods and techniques in order to utilize the existing knowledge drawn from the business context to generate insights about current as well as to predict futuristic possible outcomes for any given organization.

The domain of AI despite having been existing for many decades now has recently gained lots of interest and that is fueled by huge advancements in the field of computational processing and data analysis techniques. With powerful machines, it is now possible to solve algorithmic puzzles in almost no time. For example, it wouldn’t be far fetched to state that a given scientific simulation that currently available supercomputers can process within seconds probably would have taken days to solve even in the very recent past. On top of that, the advancements in the domain of (Big) Data and Business Data Processing techniques have surely further helped this research area grow further. It is now possible to build small scale AI-driven applications that are helping humanity all around us. Small devices have embedded systems that are triggered based on input from AI systems. AI is applied on a large scale and its applications in the different domains are simply growing.

Well-developed countries have started using AI to benefit society and business however AI is present in developing countries at a very surface and theoretical level. There is a strong need to support further research and development in this domain of inquiry, particularly the developing countries need to be supported in terms of infrastructure and knowledge to make use of this technology.