UQ Centre for Enterprise AI
Australia’s first research centre dedicated to Enterprise AI development and successful adoption.
Enterprise AI refers to AI technologies developed to address business and organisational needs, in both public and private enterprises. It is expected to be highly customisable to integrate with existing infrastructure and enterprise software systems, while flexible enough to scale capabilities as demands shift. It puts a strong emphasis on trust, reliability and security, and creating value for competitive advantage and social good. Enterprise AI contrasts with Consumer AI, which is designed for use by individuals, enhancing convenience in everyday tasks.
- Personalised Customer Service: An AI-driven chatbot that uses natural language processing (NLP) and generative AI to interact with customers in a conversational manner. The chatbot handles a variety of customer inquiries, from account information to transaction disputes.
- Taxpayer Assistance: AI-driven assistance to taxpayers with common queries about tax returns, payments, and other tax-related issues to provide accurate and timely responses.
- Supply Chain Efficiency: AI for inventory management and supply chain efficiencies through enhanced operational workflows, optimising rostering, and achieving productivity benefits.
In doing this, we will help to address the major health challenges of our time.
Our research groups include:
- Scalable AI: This research group has a particular expertise in Energy efficient, and Privacy-preserving data mining and machine learning techniques with theoretical backbones to better discover actionable patterns and intelligence from large-scale, heterogeneous, networked, dynamic and sparse data. Enterprise AI applications from this work have been applied to urban transportation, healthcare, Ecommerce and marketing.
- Data Centric AI: Areas of expertise include data curation at scale, trustworthy data linking and sharing, value creation from data, and exploration of new hardware paradigms for large scale data centric AI. Applications and partnerships include public sector, insurance and finance, analytics and decision support.
- Competitive AI: This group of researchers focus on how firms, especially SMEs leverage capabilities and networks to gain a competitive edge through open innovation models and frameworks. Cutting across business management, open innovation and economics experts, UQ researchers are conducting socio-technical studies on Enterprise AI adoption and management at individual, organisational and sectoral levels.
- Trustworthy AI: The research in this group draws on machine learning, reinforcement learning, AI planning, interaction design and cognitive science, towards trustworthy decisions. This includes work on areas such as explainable AI, human-AI teaming, and human-centered decision support, central to Enterprise AI. Cross-disciplinary collaborations include security and safety considerations of Enterprise AI, algorithmic transparency, data privacy and security.
The UQ Centre for Enterprise AI brings together over 20 academic experts from across technology, management, policy, law, economics, and design.
Centre Director
Professor Shazia Sadiq
See our research news
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Events
Research infrastructure showcase (detailed summary)
Date: 16 September 2023
Time: 12–4pm
Venue: Ventures Space, Level 1, Global Change Institute, UQ St Lucia
The Research infrastructure showcase is a great opportunity to hear from the faculties around UQ that enable and support research. Join us for the information session and then a mini trade show with representatives from 25 facilities around UQ.
Who should attend
- Researchers
- Professional staff working in research facilities
- Industry
- Government
Register
Email emailaddress@uq.edu.au to register for the event.
ARC discovery projects information session (linking out)
Date: 13 September 2023
Time: 12–1pm
Join us for this online session to as our experts take you through ARC discovery projects.
Find out more and register for the session
We are seeking partnerships with Australian and International enterprises and public sector organisations to join the UQ Centre for Enterprise AI.
For more information about our research and potential partnering opportunities, please email k.aldridge@uq.edu.au.
Contact us
Get in touch to learn more about our research.
Professor Shazia Sadiq
Centre Director
shazia@eecs.uq.edu.au
Ms Kate Aldridge
Project Coordinator
k.aldridge@uq.edu.au