Intelligent Automation (InA) activities using large and heterogeneous data and knowledge is an old concern in IT&C and computer science, being the next generation of Robotic Process Automation (RPA) at the enterprise level. Software systems and better solutions are developed to integrate business logic rules at the application level and to provide efficient work tools for accurate results. By designing such systems, the aim is to obtain better decisions as soon as possible in real time and make more efficient the process through which they can be made. InA is a holistic approach based on the variety of existing technologies based on Digital Transformation (DT) and automation of manual activities, using for this purpose digital workers, Artificial Intelligence (AI), cloud computing, Big Data. In this world of consumption, much of the technology we introduce into our daily lives is based on AI models and methods. Cognitive Technologies (CTs) are being developed using more and more specialized platforms. This is how different automation and intelligent capabilities are developed, which in turn adds a semantic connectivity between people and information systems [41]. The present paper analyzes the main important technologies that can effectively support the development, automation and robotization of business processes (BPA/R), identifying in a rational way how they can be applied for a synergic balance of tasks between people and computing systems, with a corresponding increase of the value added of business processes.
Connecting many products to the Internet, presence of sensors, wireless communications expansion, robot and intelligent machine development, real-time data analysis have the potential to transform how travel and tourism are made. The benefits of developing intelligent applications in the field of tourism consist in recognizing enabling technologies as a real catalyst in driving business efficiency for the coming years. This paper highlights the fact that Artificial Intelligence (AI), Internet of Things (IoT), Robotics, All Reality are really a major business topic, particularly in the field of tourism, and there is a sufficient capacity for these technologies to support future business travel models. We consider that the conceptual and practical evolution of Industry 4.0 can positively and consistently influence the development of tourism, and there are many similarities between them. Even though the concrete applications of the AI in tourism are still insufficiently elaborated, we believe that extremely rapidly, by increasing the capacity (mobility, speed, volume od data, the ubiquity of data processing and data transfers, interconnection) of intelligent processing, tourism and tourists will benefit from much closer services of concrete needs throughout travel.
The bankruptcy prediction of the enterprises is a great interest issue, which has continued such attention to researchers and specialists for several decades. This paper evaluates the risk of bankruptcy of a sample of 20 enterprises acting in the construction sector in Romania, in 2008. The bankruptcy risk is evaluated using 4 models: 2 models very well-known at the international level - Altman model (1968) with 5 variables and Conan & Holder model (1979) - and 2 models created taking into account the specificity of the Romanian business environment: the A model (2000) and the model of determining the financial performance developed especially for features of the enterprises acting in the construction sector (2008). The aim of this paper is to find a link or match between predictive power of the most used multi-factorial models of bankruptcy risk, taking into account the period in which they were created, the specific characteristics of the economy and industry.
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