Business processes, i.e., set of coordinated tasks and activities carried out manually/automatically to achieve a business objective or goal, are central to the operation of public and private enterprises. Modern processes are often extremely complex, data-driven and knowledge-intensive. In such processes, it is not sufficient to focus on data storage/analysis; and the knowledge workers will need to collect, understand and relate the big data (from open, private, social and IoT data islands) to process analysis.
Today, the advancement in Artificial Intelligence (AI) and Data Science has the potential to transform business processes in fundamental ways; by assisting knowledge workers in communicating analysis findings, supporting evidences and to make decisions. The core of the idea for AI-enabled Processes (AIP) Research Centre is to advance the scientific understanding of AI-enabled processes and to assist organizations identifying novel applications of AI and Data Science: from process automation, to cognitive assistants and smart entities. Our research covers the full spectrum of topics related to AI and Processes, and to deriving knowledge from process related data: theory, algorithms, applications and software infrastructure.
Long-term objectives of understanding AI-enabled Processes are bold and ambitious, and we know that making significant progress in this field can't be done in isolation. That's why we have two complementary components in the AIP Research Centre:
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