Despite the promise of Generative AI, 80% of enterprise AI projects stall before reaching production. Fragmented data stacks, costly compute environments, and complex ETL pipelines slow progress and delay ROI.
The combination of the Oracle AI Data Platform (AIDP) and Oracle’s AI Lakehouse architecture changes that equation—moving from experimentation to execution with measurable business impact:
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- Launch a production-grade AI pilot in as little as 6 weeks
- Reduce compute costs by up to 50% compared to alternative platforms
- Enable high-precision semantic search with integrated Vector Search inside Oracle Database—no costly data movement required
- Run real-time inference directly where transactional data resides with In-Database Machine Learning
- Scale AI training and deployment with OCI Supercluster infrastructure powered by NVIDIA GPUs and ultra-low latency networking
- Unify JSON, Graph, Spatial, and Vector data in a single platform to lower total cost of ownership
Instead of moving enterprise data into external AI silos, Oracle brings AI directly to the data—inside the database and across your applications. This eliminates the “data movement tax,” reduces latency, and preserves governance. The result is not just smarter insights, but Agentic AI capable of analyzing, deciding, and executing within ERP, HR, Finance, and Supply Chain workflows.
Enterprise AI success in 2026 won’t be defined by who experiments the most—it will be defined by who delivers outcomes fastest. With Oracle’s AI Data Platform and AI Lakehouse approach, organizations can finally move from stalled pilots to scalable, production-grade AI.
Ready to explore further?
Download the Full Oracle AIDP Whitepaper to explore the strategic architecture and competitive differentiation.
Download the AI Lakehouse Datasheet for detailed technical specifications and measurable performance benchmarks.
Stop experimenting. Start executing.
