What to expect during Oracle AI World: Join theCUBE Oct. 28
The motivation behind database modernization has traditionally been greater efficiency and cost savings. Yet, theCUBE Research has also found that there is a larger prize at stake: AI projects built on top of a modernized foundation can generate significant value. The ultimate goal is to progress beyond a fragmented data estate, which can slow teams […] The post What to expect during Oracle AI…
Oracle AI World, taking place in Las Vegas later this month, will showcase the company's advancements in artificial intelligence and database modernization. The event will focus on integrating agentic AI into enterprise workflows and addressing infrastructure, security, and governance requirements for AI at scale.
TheCUBE Research, a media outlet covering the event, highlights that database modernization has traditionally been driven by efficiency and cost savings. However, it can also serve as a foundation for creating a better platform for repeatable AI execution, generating significant value for businesses. According to Dave Vellante, research director at TheCUBE, "The bigger opportunity is using that foundation to get onto the AI learning curve earlier, free skilled teams from routine administration, improve governance consistency and accelerate the development of AI use cases over time."
A key focus of Oracle AI World will be the company's guardrails and trust approach to AI-generated solutions. Juan Loaiza, executive vice president of mission-critical database technologies at Oracle, emphasizes the importance of architecting the entire technology stack to ensure trust, as autonomous agents build applications and take actions. Oracle has addressed security challenges brought about by AI by implementing tools for database security, patching, testing, and lifecycle management.
Oracle's Autonomous AI Lakehouse, which combines its Autonomous Database capabilities with Apache Iceberg's open table format, will also be a major topic of discussion. This platform is transforming from an analytic foundation to a decision backbone for enterprise AI. Nipun Agarwal, SVP of Oracle Autonomous AI Lakehouse, explains that the lakehouse will support both analytic and AI workloads, making it the appropriate platform for AI applications.
Oracle's Autonomous AI Database, which offers fully automated, cloud-based data management, will be showcased at the event. The platform uses machine learning and artificial intelligence to manage, tune, patch, and secure itself, providing multicloud capabilities for enterprises to run on various cloud providers. Nipun Agarwal highlights the importance of building AI applications on the right data foundation, stating that Autonomous AI Database plays a crucial role in this process.
Finally, Oracle's APEXlang, a human-readable application definition language, will be introduced during Oracle AI World. This language allows leading coding agents to work with a structured application target while Oracle handles runtime, security, and application lifecycle management. Mike Hichwa, SVP of software development at Oracle, explains that APEXlang captures properties traditionally defined through user interfaces in a formal language with a formal grammar, enabling better configuration and management of low-code applications.
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