Qualcomm and Palantir extend AI to the edge for industrial IoT

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Qualcomm and Palantir extend AI to the edge for industrial IoT

Qualcomm Technologies and Palantir Technologies have formed a partnership to enhance data-driven decision-making in industrial IoT applications. This collaboration aims to run Palantir's Ontology enterprise systems on Qualcomm's hardware and software platforms at the network edge, facilitating real-time insights even in offline environments. By integrating AI-powered edge processors with Palantir's AI platform, the companies expect to deliver scalable AI solutions across various sectors, including manufacturing and automotive.

The partnership follows Qualcomm's recent launch of the Dragonwing suite, designed to support edge intelligence for businesses. This collaboration will enable AI applications to run directly on devices powered by Dragonwing, optimizing operational efficiency and decision-making. Both companies are confident that their combined technologies will enhance system reliability and security, ultimately transforming industrial operations.

• Collaboration enhances AI capabilities for industrial IoT applications.

• Integration of Ontology with Dragonwing processors enables real-time insights.

Key AI Terms Mentioned in this Article

Ontology

Ontology is a framework for data integration and analytics, enabling seamless data modeling across cloud and edge devices.

Edge Computing

Edge computing refers to processing data near the source of data generation, improving response times and reducing latency.

AI-Powered Applications

AI-powered applications utilize artificial intelligence to enhance functionality and decision-making capabilities in various environments.

Companies Mentioned in this Article

Qualcomm Technologies

Qualcomm Technologies specializes in mobile processing and AI solutions, focusing on enabling intelligent edge computing.

Palantir Technologies

Palantir Technologies develops software for data integration and analytics, enhancing decision-making in complex environments.

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