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Global energy technology company SLB has signed a memorandum of understanding with Qualcomm Technologies to develop edge AI solutions for the energy industry. The partnership aims to support real-time operational decision-making across wells, facilities, and production systems, according to a statement from SLB.
The collaboration integrates Qualcomm Technologies’ low-power edge computing and AI processing capabilities with SLB’s Agora edge AI and IoT solutions, which were designed for remote and operationally complex environments.
Rakesh Jaggi, president of Digital at SLB, commented that the two companies intend to help operators apply AI more effectively across energy infrastructure. He noted that many energy operations depend on real-time decision-making in remote settings where connectivity and responsiveness directly affect performance. Jaggi added that AI systems tailored to the realities of energy operations can support more consistent and autonomous workflows in those environments.
Energy operators are increasingly adopting automation and autonomous workflows in production settings, creating demand for agentic AI systems that can operate closer to operations rather than depending solely on centralized systems. In remote energy infrastructure, where connectivity, latency, and operational continuity are critical, bringing AI closer to equipment and workflows can help support more responsive and resilient operations. The partnership is expected to assist operators in modernizing legacy operational environments while strengthening cybersecurity across operational technology layers.
Nakul Duggal, executive vice president and group general manager of Automotive, Industrial and Embedded IoT, and Robotics at Qualcomm Technologies, stated that many industrial environments require AI systems capable of operating with limited power, constrained connectivity, separation between operational technology and information technology environments, and real-time operational demands. He said the collaboration brings Qualcomm Technologies’ low-power AI processing closer to energy operations and operating assets, enabling edge intelligence for new use cases and supporting progress toward more autonomous workflows.
The companies will focus on enabling AI applications across production operations by combining SLB’s digital production solutions and energy domain expertise with Qualcomm Technologies’ low-power edge computing capabilities. The collaboration reflects growing industry interest in moving AI closer to operations to support more autonomous and resilient energy systems.
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