Qualcomm and Honeywell expand collaboration to enhance energy solutions

In San Diego, on November 26, 2024, Qualcomm Technologies, Inc. and Honeywell announced a significant collaboration aimed at modernizing the energy sector through artificial intelligence and connectivity solutions. This partnership will see Honeywell integrating Qualcomm's advanced technologies into its products, notably the Honeywell Field Process Knowledge System (PKS). The new capabilities will enable better connectivity in remote manufacturing areas, leading to improved data collection and analytics at the edge. The collaboration leverages Qualcomm's low power AI-enabled processors, which feature native wireless connectivity and a variety of communication options including Wi-Fi and private 4G/5G networks. By merging this technology with Honeywell's extensive sensing technologies, the companies aim to create a suite of industrial sensors optimized for monitoring various process parameters, assets, and environmental conditions. This enhancement is expected to streamline operations and provide field technicians with timely, actionable information. Senior executives from both companies, including Nakul Duggal from Qualcomm and Pramesh Maheshwari from Honeywell, emphasized the transformative potential of their joint efforts. They articulated a commitment to on-device generative AI solutions that will help realize the connected intelligent edge and facilitate digital transformation in various industries. Earlier in the same year, the two companies collaborated on a different initiative that involved creating an AI-enabled Multi-Modal Intelligent Agent, designed to assist mobile workers in sectors like distribution and retail. The upcoming enhancements to the Field PKS system with Computer Vision capabilities represent a significant leap forward in operational efficiency, making it easier for mobile field technicians to perform their tasks effectively and autonomously. This collaboration not only positions both companies at the forefront of industrial IoT applications but also reflects a broader trend of integrating AI and connectivity in critical industries such as energy.