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…
Oracle AI World 2026 will explore the critical factors for enterprise AI adoption, with a focus on security, trusted agentic AI, database modernization, and cybersecurity. According to Oracle executives interviewed ahead of the conference, successful enterprise AI adoption hinges on establishing trusted architectures that can securely leverage business data and autonomous agents.
Hasan Rizvi, EVP of product and research, highlighted how Oracle AI Database advancements aim to simplify complex data architectures and protect sensitive information. Tirthankar Lahiri, senior vice president of mission-critical data and artificial intelligence engines, emphasized Oracle's trust architecture, including capabilities like Trusted Answer Search and JSON Duality Views.
Vipin Samar, SVP of software engineering, database security, noted that AI-driven cyberattacks demand rapid vulnerability identification and patch deployment. Finally, Çetin Özbütün, EVP of product and research, data warehouse and autonomous database, stressed the need for strong data infrastructure to support the growing demands of AI workloads, including automated security, mission-critical availability, and scalable infrastructure.
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