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As one of the world’s largest mining groups, Rio Tinto today is data-led, and increasingly uses AI to get the best results and outcomes from its data. This includes its Centres of Excellence globally focused on analytics, automation, asset management, energy and climate change, orebody knowledge, underground mining, surface mining and processing.
They bring together its foremost technical experts to work with its operations around the world. These smart mining teams help the miner make the right technical judgements and decisions to help it manage major hazard risks and assure the safety of its assets and operational excellence.
Its Mine Automation System (MAS) operates like a network server application, pulling together data at 98% of its sites, and mining it for information. MAS provides this information in a common format, using sophisticated algorithms. It can be displayed visually using RTVis查看配图：™ – Rio Tinto Visualisation – or through more conventional operational type dashboards with graphs, charts and tables.
Rio then uses artificial intelligence to make the best use of its systems. It can automatically generate orebody models, organise equipment dispatch, and predict and control blasts. For example, it has optimised the speed and reduced queuing of its autonomous trucks using AI – and these small improvements have produced significant gains in productivity.
In March 2026, Rio Tinto signed a memorandum of understanding with AI Singapore to develop and scale AI solutions that address operational challenges across its supply chains. The two-year collaboration was facilitated by Enterprise Singapore, with the initiatives under the collaboration including AI-assisted freight invoice processing.
Launched in May 2017, AI Singapore brings together all Singapore-based research institutions and the vibrant ecosystem of AI start-ups and companies developing AI products to perform use-inspired research, grow knowledge, create tools, and develop the talent to power Singapore’s AI efforts.
Rio Tinto processes more than 10,000 freight invoices annually, and said that this manual and time-consuming task requires cross-checking across multiple data sources. It stated: “By combining AI Singapore’s technical expertise with Rio Tinto’s operational data and insights, the project aims to streamline validation, improve accuracy and reduce turnaround times.”
Working with AI Singapore enhances Rio Tinto’s ability to apply AI to complex supply-chain problems. Will Millsteed, Rio Tinto Commercial’s Chief Financial Officer, said: “By working with AI Singapore, we are strengthening our ability to apply artificial intelligence to complex supply chain problems…mining is often seen as a traditional industry, but the challenges we face today require modern, AI-enabled solutions. This collaboration reflects our commitment to using technology to solve business challenges, build new capabilities and deliver real improvements.”
“We are pleased to collaborate with Rio Tinto, a global metals and mining company, as part of our mission to advance Singapore’s AI ecosystem. Providing our talent with access to complex, real world industry challenges accelerates practical learning and helps drive meaningful AI adoption in sectors such as mining, where digital transformation is emerging,” said Laurence Liew, Director of AI Innovation, AI Singapore.
Enterprise Singapore’s Assistant Managing Director for Trade and Connectivity, Lee Pak Sing said: “This partnership will combine Singapore’s AI technical expertise with Rio Tinto’s data and industry insights. With more of such projects, we hope to develop Singapore as the place where commodity companies can leverage AI to transform their businesses.”
Singapore’s Marina Bay Sands will be host to the inaugural edition of The AI Mine on September 9-10, 2027 – a new annual conference dedicated to real world examples of AI use in mining plus discussion of its potential going forward to underpin operational mining ecosystems
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