The paper deals with the problems associated with development of modern computer technologies for decision-making in the digital economy, as well as methods, algorithms and software for solving management problems and decision-making in socio-economic production systems. We have considered the basics of the systemic target technology of knowledge management in the digital economy, developed on the basis of the general methodology for creating hybrid computing systems of complex production and economic systems and a synergistic model of hybrid computing intelligence. We have discussed a systemic target model of knowledge transformation and decision-making based on semantic graphs, which allows to form a knowledge bank of innovation, research, production, economic and various other tasks. We have proposed an original approach to creating a knowledge bank based on the method of intelligent systemic target planning, which ensures automated development of decision support systems of various types and purposes in various subject areas. The main procedures of the intellectual systemic target planning method are considered: forming the structure of goals, achieving the goals set, developing the systemic target planning process, the scenario for solving the problem, etc. The architecture of the intellectual information subsystem CITAP is presented. The architecture of the software and hardware complex CENTER-C1 based on the systemic target technology of knowledge management is given. The proposed methodological approach and applied methods and models continue the approaches, methods and tools presented earlier: in the field of creating functional hybrid intelligent decision-making systems for production and economic problems that are hard to formalize (Vol. 12, No. 1 of the journal) and developing a synergistic research environment for modeling complex production and economic systems (Vol. 12, No. 2 of the journal), as well as completing a series of studies in the field of creating a technology for systemic target management of knowledge and decision-making in a digital economy, for virtually any kind of complex production and economic systems and allow to start practical testing of the proposed methods and tools. As an example, we have considered the task of creating an intellectual decision-making system in the field of digital risk management. We hope that in the conditions of the digital economy, the methodological and technological basis of the technology for systemic target knowledge management presented in this study can become a new scientific and applied basis for innovative development of the Russian economy, allowing to build a digital foundation based on the latest approaches to information technology, artificial intelligence, management of big data, etc.