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Oracle advances data accessibility and security in the AI age

May 10, 2025•by Devony Hof•Original Link•2 minutes
Database
ArtificialIntelligence
DataSecurity

Oracle executive Juan Loaiza discusses the company's approach to data protection and AI integration with theCUBE's Dave Vellante.

Oracle Corp. is redefining enterprise computing by integrating artificial intelligence into its database systems, focusing on speed, flexibility, and security. Juan Loaiza, Oracle's executive vice president of mission-critical database technologies, emphasized the critical role Oracle plays in global infrastructure during a conversation with theCUBE analyst Dave Vellante.

Key Developments:

  • Zero Data Loss Recovery Appliance: Oracle has upgraded its data protection solution to enable ultra-fast recovery, essential for industries like healthcare, finance, and retail. Loaiza highlighted the need to restore massive datasets—sometimes hundreds of petabytes—within hours.
  • JSON Relational Duality: A breakthrough feature allowing data access in multiple formats (graphs, documents, tables) without compromising performance. Loaiza called this a "radical new thing" and predicted it would shape the future of data management.
  • AI Integration: Oracle is embedding AI directly into its database systems, enabling seamless interaction with data. "You no longer need to speak the language of databases," Loaiza said. "The database will speak your language."

Juan Loaiza and Dave Vellante discuss Oracle's data protection strategies

Multicloud and AI Compatibility

Oracle remains committed to multicloud accessibility, ensuring users can leverage its data products across platforms. While Oracle doesn’t develop proprietary AI models, it supports integration with hyperscaler AI systems, enhancing operational efficiency.

For more details, watch the full interview here.

Photo: SiliconANGLE

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About the Author

Dr. Sarah Chen

Dr. Sarah Chen

AI Research Expert

A seasoned AI expert with 15 years of research experience, formerly worked at Stanford AI Lab for 8 years, specializing in machine learning and natural language processing. Currently serves as technical advisor for multiple AI companies and regularly contributes AI technology analysis articles to authoritative media like MIT Technology Review.

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Machine Learning
Natural Language Processing
Deep Learning
AI Ethics
Experience
15 years
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