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This article focuses on enterprise strategies for deploying agentic AI, emphasizing the necessity of integrating security guardrails and trusted infrastructure to move models from experimentation to production. It highlights Oracle's approach to addressing AI-driven threats and securing business data stacks as central challenges for scaling autonomous agents in corporate environments.
9 executive interviews reveal what’s ahead for enterprise AI at Oracle AI World
Moving enterprise AI applications into production requires more than increasingly capable models. Enterprises need secure access to business data, reliable infrastructure and greater control over autonomous agents as organizations look to turn AI experimentation into measurable business results. “AI is moving fast. Threats are moving just as fast, and the race is on to build […] The post 9 executive interviews reveal what’s ahead for enterprise AI at Oracle AI World appeared first on SiliconANGLE.
Moving enterprise AI applications into production requires more than increasingly capable models. Enterprises need secure access to business data, reliable infrastructure and greater control over autonomous agents as organizations look to turn AI experimentation into measurable business results. “AI is moving fast. Threats are moving just as fast, and the race is on to build enterprise AI that’s not just intelligent, but trusted, secure and, of course, ready for production,” said Dave Vellante (pictured, left), chief analyst at theCUBE Research. “One of the biggest conversations at Oracle AI World will be about what it takes to move enterprise AI from experimentation to production and how to secure it against an entirely new generation of AI-driven threats.” Ahead of Oracle AI World 2026, taking place Oct. 25–28 in Las Vegas, Oracle Corp. executives joined Vellante for nine pre-event interviews previewing the conference’s “Data Deep Dive” programming. Their conversations highlight Oracle’s approach to trusted agentic AI, database modernization, cybersecurity and application development, along…
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