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
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:
Industry Streams: Our industry streams (e.g., AI-enabled Policing, AI-enabled Banking and AI-enabled teaching and learning) are led by our industry partners such as Australia Federal Police, TATA Consultancy Services, ITIC and more.
Research Programs: Our Research Programs (e.g., Process Automation, Data Curation, Cognitive Technology, Smart Entities, IoT-enabled Business
Processes and Storytelling with Business Data) are led by research labs in in top universities such as Macquarie University (Sydney, Australia),
UNSW Sydney (Sydney, Australia),
and University of Wollongong (Wollongong, Australia).