This Oracle report shows how AI has evolved from simple LLM tasks to full agentic workflows—systems that plan, reason, take actions, and loop humans in when needed. It outlines 11 real-world use cases across consumer services, healthcare, manufacturing, finance, utilities, and defense to show how companies are already using AI to improve efficiency, decision-making, and customer experience. Examples include AI-assisted call centers, RAG-powered chatbots, sentiment analysis on reviews, inventory forecasting, faster antibiotic-resistance diagnosis, automated clinical documentation, pharmaceutical research summarization, fraud detection, predictive maintenance, visual quality inspection, and secure ID verification. The report stresses that combining business data, vector search, LLMs, and cloud tooling allows companies to launch powerful AI agents today, and highlights why Oracle positions its infrastructure, databases, and AI services as a foundation for scalable, secure enterprise AI.

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