SLB has signed a memorandum of understanding with Qualcomm Technologies to enable edge AI solutions for the energy industry, with a focus on enabling AI applications across production operations.
The collaboration combines Qualcomm Technologies’ low-power edge computing and AI processing capabilities, with SLB’s Agora edge AI and IoT solutions developed for remote and complex environments, supporting real-time operational decision-making across wells, facilities and production systems.
With energy operators increasingly adopting automation and autonomous workflows across production environments, demand for agentic AI systems that can run closer to operations is rising, given they can support more responsive and resilient operations in remote environments where connectivity, latency and operational continuity are critical. This collaboration is expected to help operators modernise legacy operational environments while strengthening cybersecurity across operational technology.
“Together, SLB and Qualcomm Technologies aim to help operators apply AI more effectively across energy infrastructure,” said Rakesh Jaggi, president, Digital, SLB. “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.”
“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,” said Nakul Duggal, EVP and Group GM, Automotive, Industrial and Embedded IoT, and Robotics, Qualcomm Technologies, Inc. “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.”
