Развитие кластера информационных технологий в Санкт-Петербурге
This Study was prepared by the United States Agency for International Development (USAID), the Russian Energy Agency (REA), and the United States Energy Association (USEA) under the framework of the U.S./Russia Bilateral Presidential Commission Energy Efficiency Working Group’s Russian/American Smart Grid Partnership Initiative. This study was designed to provide the Russian and American stakeholders with on overarching 360 degree perspective on the major impediments to Smart Grid deployment in the U.S. and Russia. The study doesn’t include recommendation; it only assesses the current barriers that prevent smart grid technology deployment in the United States and Russia. It is organized into two parallel sections, one focusing on the impediments to smart grid technology deployment in the United States and the other on the impediments to its deployment in Russia. A common analytical framework for the study was jointly developed by the U.S. and Russian counterparts to ensure that the studies were parallel in their analyses and the impediments are divided into the following high level main Smart Grid related themes: Smart Grid Concept Markets Efficiency Cross-Subsidy Generation Consumer Participation Behavioral Norms Data & Analytics Smart Grid Investment Environment Education Grid Modernization A parallel series of in-person interviews were conducted in the U.S. and Russia with relevant smart grid stakeholders including government agencies, regulatory officials, infrastructure companies, electric utilities, industry associations, market operators, and research institutions. The interviews ranged 2-3 hours in length. The subjects were informed in advance that their opinions were not for attribution, leading to a candid exchange of opinion. A customized questionnaire jointly developed by the Russian and American expert consulting teams was utilized during each stakeholder interview.
Implementation of IT and program projects seems to be very complicated and taught process, associated with many uncertainties and risks. Sure, this does not mean the rejection of such projects, supposed the more responsibility for the decision making process of new information technologies implementation. To manage various problems which face project managers, it makes sense to use special risk management software. The functionality of modern risk management systems allows identifying risk occurrence, conducting scenario modeling, take the more appropriate managing decisions based on scenario analysis and mathematical calculations. All these functionality will support project manager to optimize his business activities in accordance to risk management practices and ensure better coordination and balance inside the project team. Currently there available a wide range of project management software, but it is reasonable to conduct some analysis in terms of applicability to specific IT projects. The author will review the most appropriate software solutions for the risk management in IT area, conduct competitive analysis and provide some recommendations on software selection.
Legal basis for expert activities is developing in Russia. Concepts of the development of the civil law legislation and information society, regulations for strategic management have given a new impulse to it. Expert procedures are shifting to network space. Their quality and efficiency are increasing due to the usage of Intelligent Information Technology and situation centers.
The book presents the developments directions and researches within the framework of scientific schools of the Institute of Computer Technologies of MESI. It provides the concept of modern information systems architecture and the structure of information space; done the classification of information technologies. Considered the features of constructions of Business Process Management (BPM), Information Management Systems (ERP), Decision Support Systems (DSS). The book defines the theoretical foundations of algorithmization and programming with help of algorithmic languages, the theory of graphs and program synthesis. It presents safety factors and economic aspects of software development. It provides the methods and environments of information infrastructure management based on COBIT, ITIL, clouding computing. The methodology of economic efficiency of information systems and nets and information securities requirements are described. The book formulates conceptual foundations of information systems and data bases design, it presents the analysis of methodologies of information systems modeling.