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Oracle has announced the launch of Oracle Energy and Water Data Exchange, a new cloud-based solution designed to enhance data integration, sharing, and preparation for use in artificial intelligence (AI). This tool applies an intelligent semantic layer to translate raw and complex data into an industry-standard model, facilitating its interpretation and optimization for advanced analytics and generative AI (GenAI) applications.
Optimizing Data Use in the Energy Sector
The energy sector faces significant challenges due to fragmentation and inconsistency in data management. According to Hillary Martin, Vice President of Analytics and Innovation at Oracle Infrastructure, many companies have invested in data management solutions but still struggle due to data dispersion and a lack of standardization.
Oracle Energy and Water Data Exchange aims to address these issues through processes of validation, cleansing, deduplication, and data synchronization. By improving the quality and consistency of information, this solution enables energy companies to make quicker, more efficient decisions based on reliable data.
Data Preparation for Advanced Applications
Unlike other tools, Oracle Energy and Water Data Exchange places a strong emphasis on data quality and meaning. Its unified data model integrates multiple industry standards, such as IEEE and IEC, which facilitates secure information sharing among partners and enhances interoperability. This capability is key for optimizing processes like connecting distributed energy resources (DERs) and managing customer devices on the power grid.
With a structure designed to ensure data readiness for AI, the platform allows:
- Predictive analytics and data mining.
- Optimization of electric vehicle charging networks.
- Increased operational efficiency in energy asset management.
AI-Ready Data and Automation
Oracle Energy and Water Data Exchange integrates with various sector applications, both from Oracle and third parties, ensuring standardization of public data from sources such as the U.S. Department of Energy, the Census Bureau, and the National Oceanic and Atmospheric Administration (NOAA).
Furthermore, the solution leverages the secure and scalable infrastructure of Oracle Cloud Infrastructure (OCI), including:
- OCI Integration Services to connect various applications and automate data processes.
- AI Vector Search and machine learning in Oracle Database 23ai, eliminating the complexity of integrating and managing multiple databases.
- Language-based semantic representations, facilitating the creation of embeddings to feed generative AI engines and enhance applications like intelligent chatbots.
Benefits and Future of the Solution
The platform is aimed at IT teams, consultants, integration specialists, and solution architects, providing tools to manage multiple data sources within an organization. Its implementation enables:
- Faster and more efficient integrations.
- Fewer errors in data migration and system updates.
- Better performance of technological solutions and increased customer satisfaction.
Oracle has also announced plans to expand this solution with a data exchange framework, allowing secure sharing of validated information between internal teams and external partners, optimizing operational efficiency and decision-making in the energy sector.
via: Oracle