ÑÇÖÞ²ÊƱ¹ÙÍø

What is Industrial AI?

At AIML, Industrial AI is the use of AI to improve efficiency or create value for industry. Examples of Industrial AI include chat bots, advanced analytics, management tools, supply chain management, and automation and robotics in manufacturing.

Industrial AI SME Grant Program

The Industrial AI SME Grant Program aims to support South Australian small and medium enterprises (SMEs) to adopt artificial intelligence (AI) by providing them with access to machine learning (ML) engineering expertise from the Australian Institute for Machine Learning (AIML) at the University of ÑÇÖÞ²ÊƱ¹ÙÍø.

This program offers a unique opportunity for South Australian businesses to enhance their business operations, develop innovative solutions, and leverage AI technology to gain a competitive edge. These transformative technologies can provide businesses significant ongoing benefit and growth potential. The value of this competitive advantage being offered to businesses cannot be overstated.

Empowering SMEs with AI know-how: Instead of cash, this grant offers invaluable access to AIML team of machine learning engineers, providing tailored support to elevate your AI and machine learning capabilities.

The Industrial AI program is supported by the South Australian Government through the Department of State Development and the Research and Innovation Fund, as part of the Industrial AI partnership with AIML, with the goal to support the development of a core capability and adoption of industrial Al and drive economic growth, improve productivity and competitiveness resulting in skilled jobs creation across a range of sectors.

Launch event

AIML invites you to the formal launch of the Industrial AI SME Grant Program

The livestream will begin with a welcome from Michael Brown MP, Assistant Minister to the Premier for AI and the Digital Economy, followed by an informational video showcasing how AIML is working with local companies to adopt AI. We'll also feature a live Q&A with AIML’s Institute Manager, Dr Kathy Nicholson, and Engineering Manager, Jonathon Read.

When: 1:30 PM – 3:00 PM ACST, Tuesday, 3 June 2025
Where: Online. To register for the livestream, .