Data Contextualization: Building the foundation to unlock the value of industrial data

IRIS Foundry addresses the challenge of data silos in industrial organizations by offering comprehensive data contextualization capabilities. It connects diverse data sources through pre-built connectors and transforms them into unified data models using AI-assisted processes. The solution creates a Unified Asset Namespace by contextualizing data into an enterprise asset hierarchy and resolving entity name conflicts. This approach eliminates data silos and enables seamless data onboarding for various data types. Additionally, IRIS Foundry constructs asset and process knowledge graphs on top of the contextualized data, adding further semantic relationships and empowering users to query data using an advanced generative AI copilot. By providing flexible industrial data modeling and enhancing context through knowledge graphs, IRIS Foundry enables organizations to transform raw data into meaningful insights, scale their AI initiatives, and unlock the full value of their industrial data.