BIG DATA AND INTELLIGENCE
- We are pleased to offer you, our readers, the third issue of the journal Intelligence – in Theory and in Practice. It is the fruit of many efforts of the authors, who agreed to invest their time and energy in order to enhance the community’s knowledge in the big-data field.
- The concept of big data reflects a reality in which the quantities of data are so large and so varied that drawing insights from them cannot be done by focusing separately on each data bit. Instead a new approach is required that combines different aspects and gleans insights automatically from the relevant information. On the one hand, the phenomenon is generated by the huge growth in the quantities of data, primarily due to the expanded use of the internet and the augmented reach of the social networks, which together have completely altered human life and, particularly, the world of information, and continue to impel revolutions in this domain at a rapid pace. On the other, the technological quantum leaps enable the storage of the immense data in a way that allows its rapid retrieval and the extraction of insights from it that are not evident at first glance.
- The challenges that this phenomenon poses are not unique to intelligence, of course. Indeed, civilian bodies in the business sector are at the forefront of finding ways to cope with big data, which involve efficient storage and the creation of tools for very rapidly drawing insights from it, while updating it in real time. This issue of the journal explores, among other things, the unique characteristics of the intelligence endeavor and the ways in which the intelligence community needs to learn from civilian entities that, for business purposes, deal with a much larger range of information.
- The issue is divided into parts according to subject area, with each part illuminating the big-data phenomenon from a different angle. We wish you, the readers, enjoyable and valuable reading and remind you that we wait to hear from you – whether proposals for articles or responses to this issue.
Yossi Kuperwasser and David Siman-Tov
Glilot, October 2018