Radix, a global supplier of asset performance management software, announced two significant developments in the second half of 2024.
First, the company announced a strategic partnership with Cognite, a supplier of data and artificial intelligence (AI) for industry, to accelerate the applications of AI to streamline and contextualize data management and asset performance across the oil and gas, energy, petrochemicals and manufacturing industries. In this partnership, Cognite’s industrial DataOps platform—Cognite Data Fusion—is paired with Radix asset management software to enable users to analyze and extract critical information from large data pools across non-integrated systems to drive operational efficiency, uptime optimization and operating cost reductions. The technologies featured in this partnership rely on the application of hybrid intelligence (a combination of human and artificial intelligence to achieve better results and learn from each other) to sort through data in a more refined manner to more quickly isolate problem areas.
According to Radix, hybrid intelligence can provide 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 accelerate access to data across independent systems, making it easier to coordinate for quicker analysis and troubleshooting across industrial operations.
The other announcement from Radix relates to its new Leafcutter intelligent industrial data software for operational excellence. Leafcutter is designed to streamline data management and integrate with real-time process historian platforms to address the efficient management and analysis of vast amounts of real-time machine data. Traditionally, collecting, processing and storing real-time data has been labor-intensive and fraught with siloes and complexities, often leading to inefficiencies and delays in analysis.
That’s why a key feature of Leafcutter is its ability to gather data from existing data historians and make it securely available in event hubs or message brokers on either a private cloud or on-premises environment. Leafcutter enables users to consume time series data on demand and in real-time with the ability, for example, to stream upwards of 250,000 historian tags.
