Oracle has announced Oracle Energy and Water Data Exchange, a cloud-based solution for utilities to streamline data integration, sharing, and preparation for AI use cases.

Applying an intelligent semantic layer, the offering translates complex raw utility and third-party information into a standardised industry model with natural language meaning for easier interpretation and action.

Oracle Energy and Water Data Exchange is designed to address challenges in utility systems of unstructured and inconsistently modelled datasets. It addresses this with a focus on data quality and meaning.

Through a series of validation checks, error reporting, cleansing, de-duplication, and synchronisation 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 a utility 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 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.

Oracle Energy and Water Data Exchange builds on the built-in AI Vector Search and in-database machine learning capabilities of Oracle Database 23ai to help eliminate the complexity and cost of integrating and managing multiple databases. This helps maintain data consistency across areas such as smart meters, distribution assets, and utility grids. Unique, language-based semantic representations also make it easy to create embeddings for data, feed GenAI engines, and enhance applications such as smart chatbots. 

“Utilities are under increasing pressure to accelerate digital transformation, however, many struggle with fragmented, siloed, and inconsistently labelled 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, organising, and adding the appropriate meaning to an organisation’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.”