When it comes to securing and processing an overwhelming majority of global transactions, the mainframe holds an unparalleled position. In fact, as per a recent report, it has been found that the mainframe is responsible for managing the processing of 70% of worldwide transactions, in terms of value.
This substantial contribution to global transactions is primarily driven by the unrivaled security and processing capabilities that the mainframe brings to the table. As we continue to navigate through an era marked with an exponential increase in digital data, these capabilities become more critical than ever.
However, one of the most defining developments in the context of mainframe operations is the increasing utilization of Artificial Intelligence (AI). In the light of this evolving landscape, it becomes crucial to ponder upon the kind of changes that AI is introducing in this domain.
In order to gain a better understanding of these changes, one can turn to a recent study conducted by The IBM Institute for Business Value (IBV). This study delves deep into the role of AI in driving mainframe innovation, offering refreshing insights on this transformative journey.
The study reveals that AI is not just a supplementary element in this narrative. Instead, it plays a pivotal role in driving mainframe innovation, shaping its trajectory in significant ways. As the data world moves towards a more intricate and complex phase, the scope of AI in bolstering the power of mainframes is likely to expand further.
The sweeping transformation brought about by AI in the world of mainframes is surely an intriguing subject of study. It is an area that warrants continued attention from researchers and practitioners alike, as they strive to unlock the full potential of AI's role in this paradigm.
Disclaimer: The above article was written with the assistance of an AI tool. The original sources can be found on IBM Blog.
