Smart IT Solutions

The necessity of intellectualization of information and organizational processes in management of socio-economic systems, necessity of construction and implementation of methods and systems of artificial intelligence (AI) and intelligent technologies of decision support are substantiated. The components of information technologies of business intelligence and knowledge management are given. The concepts of

"intelligence", "intelligent system", their properties and features, directions of thinking modeling are considered. The goals and objectives set for AI theory, the main subsystems included in the AI ​​system are considered. The basic principles of construction of fuzzy intelligent systems of support of making management decisions are given.

Information technologies, intelligence, artificial intelligence, intelligent technologies, intelligent system, business intelligence, knowledge management, thinking modeling, fuzzy systems, principles of construction of intelligent systems.

The modern world is literally suffocating under an avalanche of information. These data flows, which are characterized by incompleteness, uniqueness and extraordinary dynamism, do not lend themselves to formal structuring and therefore the same "standard" databases and data warehouses are powerless here. The rapid increase in the flow of processed information leads to significant changes in work methods and requires not only the automation of data processing and analysis processes, but also the intellectualization of information and organizational processes, the construction and implementation of effective methods and intelligent technologies for decision support (DS).

At the same time, the conditions of the transition to an information society, when the focus of attention shifts from the industry of extraction, processing of raw materials and minerals to high technologies and innovations, dictate the need for all social and economic structures (government, business, social communications) to work on the principle of a fast, mobile, intelligent enterprise. This principle is based on intelligent methods of managing the most critical resource - information [1].

Now the time of the business cycle from an idea to receiving a profit has decreased from several years to several months. Three factors have significantly changed the management situation - the growth of the rate of: novelty, volume and diversity of the reviewed information. As a result of these reasons, a problem has arisen - the manager becomes the weakest link in the chain of business relations, since the person cannot withstand the load. As a result, the share of PR in uncertain and non-standard situations increases significantly at all levels of management. This applies to technology, production, planning, competition, organization and management of the company. The need to generate new ideas is growing more and more, i.e. the invention of new ideas is becoming the main driving force of modern business. However, there is a limit to the novelty (new factors and ideas) that a person can assimilate in a certain period of time. This is his adaptive level of perception. Therefore, problems associated with the need to intellectualize information and organizational processes, intensify the intellectual activity of management specialists require immediate solutions. The solution to these problems is seen, on the one hand, in the development and use of business intelligence (BI) and knowledge management (KM) information technologies in management, and on the other hand, in increasing the level of intelligence and speed of existing management information systems and management support systems [1-3].

Currently, BI technologies include the following tools [4]: ​​relational database servers, OLAP servers, data warehouses, data transformation and reporting tools, data mining tools, modeling and forecasting tools, scorecards, portals and dashboards, spreadsheets, analytical applications, etc. Most of the tools work together, although they play different roles in the PR process.

The main information technologies (IT) that support KM include:

• data and text collection - pattern recognition, identifying significant patterns from data in warehouses or input streams. These IGs are based on statistical modeling, neural networks, genetic algorithms, etc. [3, 4];

• document management systems - storage, archiving, indexing, marking and publishing of documents;

• tools for organizing joint work (Collaboration) - intranet networks, group work technologies, synchronous and asynchronous conferences [4-6];

• corporate knowledge portals; tools supporting decision making (Decision support) - expert systems, systems supporting discussion groups, etc.

Recently, BI and KM technologies are converging. Thus, the plans of IBM and Microsoft