Aramco leveraging AI and big data to drive operational efficiency

The company is deploying a proprietary generative AI models and new supercomputing infrastructure to drastically boost efficiency, cut emissions, and lead the sector's digital transformation

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The energy sector is undergoing a profound transformation, and at its heart lies the synergistic power of artificial intelligence (AI) and big data.

This partnership, driven by the unprecedented creation and capture of massive, varied datasets at high speed, with Aramco alone collecting around ten billion data points daily, is enabling Al algorithms to solve highly complex industrial challenges, ushering in an era of unparalleled operational efficiency.

For Aramco, harnessing the combined might of Al, big data, and the Industrial Internet of Things (IIoT) is not merely an upgrade but a central pillar of its ambitious digital transformation programme.

By designing, developing, and deploying innovative smart tools, the company is fundamentally enhancing everything from workers' safety and decision-making processes to reservoir management and power consumption, all with the strategic aim of remaining the most reliable and affordable energy supplier to meet the world's growing demand.

Aramco is not simply adopting off-the-shelf Al; it is pioneering the field with bespoke industrial solutions, most notably with the launch of AramcoMetaBrain in early 2025.

This proprietary generative Al model, and the world's first industrial large language model (LLM), is trained on Aramco's vast operational data spanning over 90 years.

It is designed to provide actionable, real-time insights, optimise complex operations, and predict product quality.

This level of industry-specific cognitive power is a game-changer for the energy sector, offering transformative applications like SARA, an industrial Gen-Al tabletop voice assistant that provides highly contextualised, on-premise operational guidance.