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Oracle Energy and Water Data Exchange standardizes disparate information into logical formats to help speed advanced AI use cases and data sharing
NASHVILLE, Tenn., March 3, 2025 /PRNewswire/ -- Oracle Customer Edge Summit -- Oracle today announced Oracle Energy and Water Data Exchange, a new cloud-based solution designed to streamline data integration, sharing, and preparation for AI use cases. Applying an intelligent semantic layer, the offering translates complex raw enterprise and third-party information into a standardized industry model with natural language meaning for easier interpretation and action. This often overlooked, but critical, data preparation step helps ensure that information is not only accessible but also meaningfully contextualized for analytics and AI-driven insights. With the Data Exchange, cloud developers, data scientists, and analysts can significantly fast-track priority projects, including data mining, predictive analytics, and cutting-edge generative AI (GenAI) applications.
"Utilities are under increasing pressure to accelerate digital transformation, however, many struggle with fragmented, siloed, and inconsistently labeled data spread across multiple sources. This makes it difficult to unify information and use effectively to innovate and improve utility operations," said Hillary Martin, vice president of analytics and innovation, Oracle Infrastructure. "By cleansing, organizing, and adding the appropriate meaning to an organization's data, Oracle Energy and Water Data Exchange makes data easier to find, understand, and leverage for AI and advanced analytics use cases that can transform raw data into actionable insights."
Preparing data for action
Many utilities have invested in industry solutions that promise to centralize and unlock the value of data only to be stifled by inconsistent, hard-to-find, and unstructured data. Unlike other solutions, Oracle Energy and Water Data Exchange addresses these foundational problems by focusing on data quality and meaning. Through a series of validation checks, error reporting, cleansing, deduplication, and synchronization processes, the offering helps ensure that data is accurate, easy-to-understand, and ready for analysis, replication, or AI application use.
Oracle Energy and Water Data Exchange features an industry data model that unifies multiple standards—including IEEE and IEC—which helps ensure that when data is ready for production, it can be securely shared across partners to streamline integration, enhance interoperability, and drive operational efficiency. With this clean, validated data, utilities can expedite analytics-based decisions and priority use cases, such as connecting Distributed Energy Resources (DERs) to grid and customer devices to provide a comprehensive view of grid conditions across EV charging locations in a specific area.