The COVID-19 pandemic has accelerated the transition to a remote society, and digital transformation (DX) is needed for all of society. DX will most likely be realized by collecting and analyzing a variety of data in the real world in order to solve problems. We believe that there will soon be a “data-centric society”, which creates value based on data in all manner of situations.
Information processing infrastructure has experienced steady technological evolution. Faster CPUs and other innovations have steadily increased the speed and sophistication of system infrastructure. In addition to waterfall model of software development, the agile model has also gained popularity in recent years. Information processing infrastructure must also continue to evolve in this manner, in pace with the evolution of society and technology.
In order to realize a data-centric society, we must have mechanisms to efficiently collect and analyze a variety of data in the real world. We must also be capable of efficiently analyzing the massive volume of data collected, and convert this data into value. It is already being said that Moore’s Law has reached its limit, so it is likely necessary to drastically revise conventional computing architecture in order to further improve the performance of system infrastructure. Likewise with software development, we must greatly improve our efficiency so that we can further diversify services, and we must find methods different from conventional approaches.
Through research and development of data distribution technology, data analysis and value creation technology, system infrastructure technology, software development technology, and other such technologies, we aim to realize information processing infrastructure for the future that can support a data-centric society and adapt to the evolution of society and technology.