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Elaine Kedwards

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Defence Infrastructure Organisation

I have worked in DIO for 25 years and have been in the Geospatial and Analytics team since 2016. During this time, I developed the team from 10 to 40 people, growing our capabilities in advanced geospatial and analysis techniques, including AI and machine learning. I led DIO’s geospatial and analytical capability in delivering sustainability and asset management decision support tools for evidence-based decisions on future investment and estate optimization. In my personal and professional life, I am a disability advocate, supporting charities and DIO's Diversity and Inclusion strategy.

Bio from: gartner-data-analytics-uk-2025

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SAS: Transforming MOD Asset Management with AI-driven Simulations

2025-05-12 · gartner-data-analytics-uk-2025
talk
with Samuel King (Defence Infrastructure Organisation) , Steven Burgees (Sas) , Elaine Kedwards (Defence Infrastructure Organisation)
AI/ML Analytics SAS

The UK Ministry of Defence (MOD) oversees the lifecycle management of over 120,000 assets.

Previous reliance on Excel-based models and manual processing limited team collaboration and the development of predictive capabilities. Utilising SAS Viya, Defence Infrastructure Organisation (DIO) transitioned to AI-driven simulation models, enabling predictive and prescriptive analytics to optimise asset management. Now recognised as an advanced asset management model in government, hear how DIO have demonstrated data-driven decision-making, and advanced analytical capabilities across government.