Global energy technology company SLB announced a memorandum of understanding with Qualcomm Technologies to enable edge AI solutions for the energy industry, supporting real-time operational decision-making across wells, facilities and production systems.
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 operationally complex environments.
“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.”
Energy operators are increasingly adopting automation and
autonomous workflows across production environments, driving demand for agentic
AI systems that can run closer to operations rather than relying solely on
centralized systems. In remote energy infrastructure where connectivity,
latency and operational continuity are critical, bringing AI closer to
equipment and operational workflows can help support more responsive and
resilient operations. This collaboration is expected to help operators modernize
legacy operational environments while strengthening 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,” said Nakul Duggal, EVP and Group GM, Automotive,
Industrial and Embedded IoT, and Robotics, Qualcomm Technologies. “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.”
The companies will focus on enabling AI applications across
production operations using SLB’s digital production solutions and energy
domain expertise together with Qualcomm Technologies’ low-power edge computing
capabilities.
The collaboration reflects growing industry interest in
bringing AI closer to operations to support more autonomous and resilient
energy systems. -OGN/TradeArabia News Service
