ABSTRACT
Data analytics has been in the fast lane for over two decades. Data analytics speed and dynamics are increasing at an unprecedented rate. The increase of data volumes will continue to grow, especially unstructured social media data, as well as Internet of Things data.
These increasing data volumes require proper data management including architectural principles. This will enable organizations to benefit from improved insights. In addition, technological innovations are enabling the increasing impact of data analytics, e.g., cloud computing and quantum computing. All are foundational for artificial intelligence.
On a conceptual level, ontologies and knowledge graphs are essential in artificial intelligence. These developments are significantly expanding the analysis processing speed and affordable available storage volume.
All of this is fueling artificial intelligence which includes machine learning and deep learning. Concepts that are often used intertwined, however, which are distinctly different. Artificial 77 intelligence is pivotal in digital transformations.
