Global energy technology company SLB announced a new memorandum of understanding with Qualcomm Technologies, Inc. This exciting collaboration brings advanced Edge AI Solutions directly to the energy industry. Both companies want to support real-time operational decision-making across wells, facilities, and production systems.
This partnership effectively combines the unique technological strengths of both businesses. Qualcomm Technologies provides low-power edge computing and AI processing capabilities. Meanwhile, SLB contributes its specialized Agora edge AI and IoT solutions portfolio. Experts designed these Agora tools specifically for remote and operationally complex environments.
Modernizing Energy Infrastructure
“Together, SLB and Qualcomm Technologies aim to help operators apply AI more effectively across energy infrastructure. Many energy operations rely on real-time decision-making in remote environments where connectivity and responsiveness directly affect performance. AI systems designed around the realities of energy operations can help support more consistent and autonomous workflows across those environments,” said Rakesh Jaggi, president, Digital, SLB.
Energy operators currently face changing demands. Companies increasingly adopt automation and autonomous workflows across production environments. This trend drives high demand for agentic AI systems. The intelligent machines operate quite near to the process rather than relying only on the central systems.
A remote energy infrastructure needs high connectivity and minimal latency. Placing Edge AI Solutions nearer to the machinery ensures responsive and robust operations. This technology helps operators modernize legacy operational environments. Furthermore, the system strengthens crucial cybersecurity across operational technology layers.
“Many industrial environments require AI systems that can operate with limited power, constrained connectivity, separation between operational technology and information technology environments, and real-time operational demands. This collaboration brings Qualcomm Technologies’ low-power AI processing closer to energy operations, alongside operating assets, helping enable edge intelligence for new use cases and supporting progress toward more autonomous workflows,” said Nakul Duggal, EVP and Group GM, Automotive, Industrial and Embedded IoT, and Robotics, Qualcomm Technologies, Inc.
The teams will focus on enabling AI applications across production operations. They will use SLB’s digital production solutions and energy domain expertise. This initiative reflects growing industry interest in autonomous systems.
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News Source: Businesswire.com
