Architektury a metodologie vývoje autonomních AI agentů pro business intelligence

Artificial intelligence is closely linked with data and information, which form the core of business intelligence (BI). This master's thesis focuses on a specific form of its application, namely autonomous agents and agent-based systems within the context of BI. The primary objective of the thesis is to create a comprehensive methodological foundation for the development and integration of these systems. Based on a literature review in the fields of artificial intelligence, agent-based systems, business intelligence, and the latest trends, the theoretical foundations necessary for understanding this issue are established. The thesis emphasizes the crucial role of these technologies considering current developments and defines the prerequisites for their successful implementation. Subsequently, it formulates specific recommendations and approaches for integrating agent solutions with BI platforms and summarizes security aspects in accordance with current standards. All these topics are synthesized into a comprehensive proposed framework proposed for the development and integration of agent-based systems into business intelligence. The resulting work serves as a valuable resource and a methodological guide for experts, developers, and project managers navigating this field.