Core Insights - Oracle has launched the Oracle AI Data Platform, a comprehensive solution designed to connect generative AI models with enterprise data, applications, and workflows, facilitating the transition from raw data to production-grade AI [1][2][3] Group 1: Platform Features - The Oracle AI Data Platform integrates automated data ingestion, semantic enrichment, and vector indexing with generative AI tools, simplifying the AI lifecycle for businesses [1][2] - It provides a unified view and governance across all data and AI assets, helping businesses maintain compliance and trust while eliminating data duplication through open formats like Delta Lake and Iceberg [3][4] - The platform supports Zero-ETL and Zero Copy capabilities, allowing seamless connections to critical business application data across various domains such as finance, HR, and supply chain [4][5] Group 2: Business Impact - Business users gain real-time insights and AI agents that automate routine tasks, identify growth opportunities, and embed intelligence into workflows, enhancing productivity and innovation [2][6] - The platform enables customers to automate and scale business processes, going beyond analytics with AI agents that orchestrate workflows and drive efficiencies [6][7] - Oracle plans to offer tailored versions of the AI Data Platform for major application suites, providing prebuilt integration and immediate value for business users [5][6] Group 3: Partnerships and Investments - Leading global system integrators and consultancies have collectively invested over $1.5 billion in the Oracle AI Data Platform, including training for over 8,000 practitioners and developing more than 100 industry-specific use cases [6][7] - Partners like Accenture, Cognizant, KPMG, and PwC express commitment to leveraging the Oracle AI Data Platform to drive client outcomes and enhance operational efficiency through AI [8]
Oracle Unveils AI Data Platform, Empowering Customers to Innovate in the AI Era