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Microsoft Pitches AI For African Oil, Gas And Mining Operations
Microsoft set out its plan to speed AI adoption across Africa’s oil, gas, utilities and mining sectors at African Energy Week 2026 on 12 October, centred on predictive maintenance.
The approach connects enterprise data with industrial operational technology (OT) systems. Microsoft’s examples were predictive maintenance and asset optimisation, such as spotting equipment failure before unplanned downtime. It named Azure, Copilot Studio and Power Apps as the tools for building custom applications and deploying AI agents, which are programs that carry out multi-step tasks with limited human input.
Gargi Mishra, frontier industry advisor for energy and resources at Microsoft, said the opportunity is to “connect the data companies already generate across their operations with AI capabilities”. Combining industrial and business data means “teams have greater visibility into what is happening across their assets”, she said.
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Gareth Ireland, senior AI specialist at Microsoft, said the core challenge is “how to integrate it into the systems and processes people already use”.
Microsoft stressed cybersecurity, data governance and human oversight, because errors in operational settings could carry commercial or safety risks.
ITWeb Africa cited the African Energy Chamber’s 2026 Outlook for the market backdrop. It projects oil and gas production of 11.4 million barrels of oil equivalent a day in 2026, with upstream capital spending of $41bn, driven by offshore projects in Angola, Mozambique and Nigeria.
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