Addressing Big Data Challenges
Big Data has shown its tremendous potential to transform industries, such as healthcare and insurance industries, and to empower artificial intelligence and machine learning at an unequivocal scale. However, there are concerns that Big Data may lose much of its usefulness, potentially generating new unintended consequences if epistemological (explanatory frameworks of knowledge generated) challenges are not addressed. Big Data has grown tremendously rapidly leading to data to outpace concepts. Conceptual investigations and mathematical theoretical frameworks are to theory formulation what methodology is to Big Data gathering and Big Data analytics. A lack of conceptual frameworks to address epistemological challenges of Big Data may slow progress in innovations and delay the development of Big Data's prospective applications according to recent reports and publications on Big Data. The book recalls the vigilance of Gaston Bachelard regarding the precision in making decisions based on the data alone.