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Oracle Autonomous AI Lakehouse: The Foundation for AI-Driven Enterprise Success

Dominic Provost Nov 10, 2025 9:13:00 AM
Oracle Autonomous AI Lakehouse: The Foundation for AI-Driven Enterprise Success
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In the age of AI, success for CIOs and CFOs depends on one thing: trusted, unified data. Yet many enterprises still struggle with fragmented systems that prevent AI from reaching scale. Oracle’s Autonomous AI Lakehouse changes that, combining data management, AI, and analytics into a single, intelligent platform. Built on Oracle Cloud Infrastructure (OCI) and available across multiple clouds, it delivers openness, performance, and governance in one architecture.

Unified, Trusted, and Open

The Oracle Autonomous AI Lakehouse converges structured, semi-structured, and unstructured data into a single governed platform. It is powered by Oracle’s Exadata engine and supports open standards like Apache Iceberg, ensuring interoperability across OCI, AWS, Azure, and Google Cloud. The new Autonomous AI Database Catalog acts as a “catalog of catalogs,” enabling instant access to enterprise data across systems such as Databricks, AWS Glue, and Snowflake.

Organizations can now analyze and govern data anywhere, without duplication or lock-in.

AI Built In, Not Bolted On

Unlike platforms that treat AI as an add-on, Oracle builds it directly into the Lakehouse. Native AI and ML algorithms, NLP, vector search, and automated ML enable teams to train and deploy models directly where data lives, with no movement, no latency, and no security gaps.

Features like Select AI and the Data Science Agent let users query data using natural language, automatically generating SQL or AI-driven insights. This means analysts and business leaders can interact with data conversationally, accelerating decision-making and reducing dependence on technical teams.

Performance, Governance, and Multicloud Freedom

With features such as Data Lake Accelerator and Exadata Table Cache, the Lakehouse delivers lightning-fast performance on open data without trade-offs. It also guarantees end-to-end encryption, fine-grained access controls for governance, and up to 99.995% availability.

Oracle’s multicloud flexibility ensures the platform runs anywhere, OCI, AWS, Azure, Google Cloud, or Exadata Cloud@Customer, while connecting to all data sources. The result is an open, secure, and high-performance foundation for enterprise AI.

DSP-Eclipsys: Turning Oracle’s Vision into Measurable Results

As a certified Oracle Cloud Service Provider, DSP-Eclipsys helps organizations implement and optimize the Autonomous AI Lakehouse to deliver real business outcomes. With deep expertise in data engineering, integration, and AI enablement, DSP-Eclipsys helps CIOs and CFOs modernize data ecosystems, automate analytics, and realize ROI from AI investments, quickly and securely.

Whether it’s automating financial analytics, enhancing patient care with predictive models, or optimizing manufacturing, DSP-Eclipsys ensures your AI strategy moves from concept to execution-governed, scalable, and measurable.

The Bottom Line

AI transformation starts with unified data. Oracle’s Autonomous AI Lakehouse, implemented by DSP-Eclipsys, provides the intelligence, automation, and openness enterprises need to move from managing data to monetizing it.

Ready to make your data work for you? Contact Dominic Provost at dominic.provost@dsp-eclipsys.com to start your journey toward an AI-driven, future-ready enterprise.

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