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• Predictor tool developed by the University of 91̽�� will help scientists forecast future impact of climate change, population growth and energy use
• The Supply Chain Environmental Analysis Tool (SCEnAT) 4.0 uses large scale databases including from the World Bank and NASA Satelillite maps and embedded autonomous learning
• Policy makers and industry leaders can use the predictor to have a deeper understanding of the implications of investment decisions and policy

The Supply Chain Environmental Analysis Tool (SCEnAT) 4.0 uses large scale databases – including from the World Bank and NASA Satelillite maps – numerical, graphic and textual data with embedded autonomous learning.

The new tool will be able to predict the relationship between climate change, political economy, innovation, life expectancy, population growth and energy use, on sustainable development and resources. With the flexible design of SCEnAT 4.0, any sustainability questions and any resources can be built.

91̽��, in collaboration with Microsoft, has been working for the past eight years to solve the global challenge of depleting resources. The new tool has been pioneered through the University’s Advanced Resource Efficiency Centre (AREC) by Professor Lenny Koh.

“We are very proud of the long standing relationship between the University of 91̽�� AREC and Microsoft,” said Professor Koh, Director of the AREC.

“SCEnAT 4.0 is borne from this ongoing collaboration in the era of Industry 4.0; and the Cloud and AI economy. SCEnAT 4.0 AI capabilities fit strategically with the AI sector Deal announced by the UK Government.

“Globally, AI interests are on the rise especially in the USA, China and Europe, whilst the global revenues from the AI market is projected at circa 90 billion USD in 2025 in tune with the increasing global demand for more sustainable and resource efficient solutions. SCEnAT 4.0 framework and platform are well-positioned for such worldwide scale-up rapidly.”

SCEnAT 4.0 has evolved from the original SCEnAT Cloud based tool, powered by Microsoft Azure, which has helped companies reduce the environmental impact of their supply chains.

The collaboration between the University of 91̽�� and Microsoft progressed the tool into SCEnAT+ and SCEnATi – funded by the EU – which has the addition of big data analytics and benchmarking capabilities along with Power BI integration, a Microsoft business analytics service.

Anthony Bitar, Cloud Solution Architect, Microsoft UK, said: “Policy makers and industry leaders can exploit the prediction experiencer from SCEnAT 4.0 to have a deeper understanding of the implications of policy and investment decisions.

“We are excited by how the combination of Microsoft’s Azure cloud and AI services are being used in the SCEnAT 4.0 platform to de-risk and visualise the relationship of economic, environmental and social impact from the way we produce and consume resources.”