BDVA position statement on data-driven AI
Artificial Intelligence (AI) has a tremendous potential to benefit European citizens, economy and society, and already demonstrated its potential to generate value in various applications and domains. From an industrial point of view, AI means algorithm-based and data-driven computer systems that enable machines and people with digital capabilities such as perception, reasoning, learning and even autonomous decision making. AI is based on a portfolio of technologies including algorithms for the perception and interpretation of vast amounts of information (data), software that draws conclusions, learns, adapts or adjusts parameters accordingly and methods supporting human-based decision making or automated actions.
One important driver for the emerging AI business opportunities is the significant growth of data volume and the rates at which it is generated. By 2020, there will be more than 16 zettabytes of useful data (16 trillion GB), reflecting a growth of 236% per year from 2013 to 2020. The Internet of Things (IoT) is driving this data explosion at unprecedented scales. Thus, IoT applications will need to analyse the vast quantity of Big Data and with recent advances in computing power and connectivity, more and more data can now be examined. AI is making great strides. In fact, according to IDC by 2020, 40% of all digital transformation initiatives, and 100% of all effective data-driven IoT efforts will be supported by cognitive/AI capabilities.
This position statement expresses the view of the Big Data Value Association (BDVA) on Artificial Intelligence and Big Data.