Radix and Cognite Partner to Utilize Hybrid Intelligence and AI to Streamline Data Management and Deliver Optimal Asset Performance for Industry.
- Carla Medina
- Jul 31, 2024
- 2 min read
Updated: Mar 26
Strategic partnership utilizes Hybrid Intelligence and AI to streamline data management to deliver optimal asset performance for industry.
HOUSTON, TEXAS, UNITED STATES, July 31, 2024 /EINPresswire.com/ -- Radix, a global technology solutions company, announced a strategic partnership with Cognite, the globally recognized authority in Data and AI for industry. This partnership aims to accelerate the use of Artificial Intelligence (AI) to streamline and contextualize data management and asset performance across oil and gas, energy, petrochemicals, and manufacturing industries.

The partnership pairs Cognite’s leading Industrial DataOps platform, Cognite Data Fusion®, with Radix’s unrivaled expertise in engineering, data and software technology, and operations to allow customers to intelligently analyze and extract critical information from their data, driving improvements in operational efficiency, uptime optimization, and cost reductions.
Transforming operations using Hybrid Intelligence with AI
Radix and Cognite have collaborated for the past several years, drawing on each other’s strengths to deliver innovative solutions for one of our most strategic customers. The combination of Cognite Data Fusion’s innovative technology and Radix’s engineering intelligence will help tackle the industry’s long-standing problem of extracting key information from large data pools in non-integrated systems. By utilizing Hybrid Intelligence with AI to intelligently sort through data in a more refined manner, companies will quickly isolate problem areas and work on solutions with more accurate and effective timelines. This will be a tremendous advantage across business applications, such as energy optimization, mass balance for production accounting, and inventory management for critical materials. Hybrid Intelligence also helps to accelerate access to data across various independent systems, making it easier to coordinate for quicker analysis and troubleshooting across industrial operations.
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